EP4728454A1 - Feedbackloop - Google Patents

Feedbackloop

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Publication number
EP4728454A1
EP4728454A1 EP24731359.6A EP24731359A EP4728454A1 EP 4728454 A1 EP4728454 A1 EP 4728454A1 EP 24731359 A EP24731359 A EP 24731359A EP 4728454 A1 EP4728454 A1 EP 4728454A1
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EP
European Patent Office
Prior art keywords
chemical product
product
data
use property
chemical
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Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
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EP24731359.6A
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German (de)
French (fr)
Inventor
Stefania LANFRANCHINI
Michael Prinz
Thomas Kiciak
Oliver Geiger
Andreas Wollny
Gabriele ECKARDT
Ionel RUSU
Michael-georg SCHMIDT
Nicole Graf
Lukas NIEMEIER
Henning SCHWABE
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BASF SE
Original Assignee
BASF SE
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Publication date
Application filed by BASF SE filed Critical BASF SE
Publication of EP4728454A1 publication Critical patent/EP4728454A1/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/30Administration of product recycling or disposal

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  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Operations Research (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Quality & Reliability (AREA)
  • Sustainable Development (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Manufacturing & Machinery (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A computer-implemented method for retrieving chemical product data indicative of production conditions for producing a target chemical product, the method comprising: gathering end-of-use property data indicative of an end-of-use property associated with an end product, wherein the end product is based on a chemical product, gathering one or more chemical product identifier(s) associated with the chemical product, receiving target end-of-use property data indicating a range of a target end-of-use property associated with the end product based on the one or more chemical product identifier(s), determining if the end-of-use property data corresponds to the target end-of-use property data by comparing the end-of-use property data with the target end-of-use property, in response to determining that the target end-of-use property data corresponds to the end-of-use property data, receiving chemical product data indicative of production conditions for producing the chemical product based on the one or more chemical product identifier(s), in response to determining that the target end-of-use property data corresponds to the end-of-use property data, providing the chemical product data for producing the target chemical product.

Description

FEEDBACKLOOP
TECHNICAL FIELD
The invention relates to a computer-implemented method for retrieving chemical product data indicative of production conditions for producing a target chemical product, a system for retrieving chemical product data indicative of production conditions for producing a target chemical product, a computer-implemented method for determining production conditions of a chemical product, a system for determining production conditions of a chemical product, a computer-implemented method for producing a chemical product, a system for producing a chemical product, a non-transitory computer-readable storage medium, use of chemical product data.
TECHNICAL BACKGROUND
Chemical products are used in diverse applications and end up in multiple supply chains. The quality of a product produced from the chemical product is not accessible to the chemical producer.
This hampers the chemical producers to adjust their production according to the needs of the downstream participants of the supply chain.
SUMMARY
In an aspect, the disclosure relates to a computer-implemented method for determining production conditions of a chemical product, the method comprising: gathering end-of-use property data indicative of an end-of-use property associated with an end product, wherein the end product is based on the chemical product, gathering one or more chemical product identifier(s) associated with the chemical product, receiving target end-of-use property data indicating a range of the target end-of-use property associated with the end product based on the one or more chemical product identifier(s), determining if the end-of-use property data corresponds to the target end-of-use property data, in response to determining that the target end-of-use property data corresponds to the end-of-use property data, receiving chemical product data indicative of production conditions of the chemical product based on the one or more chemical product identifier(s), in response to determining that the target end-of-use property data corresponds to the end-of-use property data, providing the chemical product data indicative of production conditions of the chemical product.
In an aspect, the disclosure relates to a computer-implemented method for determining production conditions of a chemical product, the method comprising: gathering end-of-use property data indicative of an end-of-use property associated with an end product, wherein the end product is produced from the chemical product, gathering one or more chemical product identifier(s) associated with the chemical product, receiving target end-of-use property data indicating a range of the target end-of-use property associated with the end product based on the one or more chemical product identifier(s), matching the end-of-use property data to the target end-of-use property data determining if the end-of-use property data corresponds to the target end-of-use property data, in response to matching the target end-of-use property data to the end-of-use property data, receiving chemical product data indicative of production conditions of the chemical product based on the one or more chemical product identifier(s), and, providing the chemical product data indicative of production conditions of the chemical product.
In another aspect, it relates to a system for determining production conditions of a chemical product, the system comprising a Processor and a Memory storing instructions that, when executed by the Processor, configure the system to - gather end-of-use property data indicative of an end-of-use property associated with an end product, wherein the end product is based on the chemical product, - gather one or more chemical product identifier(s) associated with the chemical product, - receiving target end-of-use property data indicating a range of the target end-of-use property associated with the end product based on the one or more chemical product identifier(s), - determining if the end-of-use property data corresponds to the target end-of-use property data, - in response to determining that the target end-of-use property data corresponds to the end-of-use property data, receiving chemical product data indicative of production conditions of the chemical product based on the one or more chemical product identifier(s), - in response to determining that the target end-of-use property data corresponds to the end-of-use property data, provide the chemical product data, in particular to a chemical production facility. In one aspect, it relates to a computer-implemented method for producing a chemical product, the method includes gathering end-of-use property data indicative of an end-of-use property associated with an end product, where the end product is based on the chemical product, gathering one or more chemical product identifier(s) associated with the chemical product, receiving target end-of-use property data indicating a range of the target end-of-use property associated with the end product based on the one or more chemical product identifier(s), determining if the end-of-use property data corresponds to the target end-of-use property data, in response to determining that the target end-of-use property data corresponds to the end-of-use property data, receiving chemical product data indicative of production conditions of the chemical product based on the one or more chemical product identifier(s), in response to determining that the target end-of-use property data corresponds to the end-of-use property data, providing the chemical product data indicative of production conditions of the chemical product.
In another aspect, it relates to a computer-implemented method for producing a target chemical product, the method comprising: gathering end-of-use property data indicative of an end-of-use property associated with an end product, wherein the end product is based on a chemical product, gathering one or more chemical product identifier(s) associated with the chemical product, receiving target end-of-use property data indicating a range of a target end-of-use property associated with the end product based on the one or more chemical product identifier(s), determining if the end-of-use property data corresponds to the target end-of-use property data by comparing the end-of-use property data with the target end-of-use property, in response to determining that the target end-of-use property data corresponds to the end-of-use property data, receiving chemical product production data indicative of production conditions of the chemical product based on the one or more chemical product identifier(s), and producing the target chemical product based on the production conditions of the chemical product indicated by the chemical product production data.
In another aspect, it relates to a system for producing a chemical product comprising: a Processor; and a Memory storing instructions that, when executed by the Processor, configure the system to: gather end-of-use property data indicative of an end-of-use property associated with an end product, wherein the end product is based on the chemical product, gather one or more chemical product identifier(s) associated with the chemical product, receiving target end-of-use property data indicating a range of a target end-of-use property associated with the end product based on the one or more chemical product identifier(s), determining if the end-of-use property data corresponds to the target end-of-use property data, in response to determining that the target end-of-use property data corresponds to the end-of-use property data, receiving chemical product data indicative of production conditions of the chemical product based on the one or more chemical product identifier(s), in response to determining that the target end-of-use property data corresponds to the end-of-use property data, provide the chemical product data, in particular to a chemical production line, a chemical production line configured to produce the chemical product according to the production indicated by the chemical product data.
In another aspect, it relates to a computer-implemented method for retrieving chemical product data indicative of production conditions for producing a target chemical product, the method comprising: gathering end-of-use property data indicative of an end-of-use property associated with an end product, wherein the end product is based on a chemical product, gathering one or more chemical product identifier(s) associated with the chemical product, receiving target end-of-use property data indicating a range of a target end-of-use property associated with the end product based on the one or more chemical product identifier(s), determining if the end-of-use property data corresponds to the target end-of-use property data by comparing the end-of-use property data with the target end-of-use property, in response to determining that the target end-of-use property data corresponds to the end-of-use property data, receiving chemical product data indicative of production conditions for producing the chemical product based on the one or more chemical product identifier(s), in response to determining that the target end-of-use property data corresponds to the end-of-use property data, providing the chemical product data for producing the target chemical product.
In another aspect, it relates to a system for retrieving chemical product data indicative of production conditions for producing a target chemical product, the system comprising: a Processor; and a Memory storing instructions that, when executed by the Processor, configure the system to: gather end-of-use property data indicative of an end-of-use property associated with an end product, wherein the end product is based on a chemical product, gather one or more chemical product identifier(s) associated with the chemical product, receive target end-of-use property data indicating a range of a target end-of-use property associated with the end product based on the one or more chemical product identifier(s), determine if the end-of-use property data corresponds to the target end-of-use property data by comparing the end-of-use property data with the target end-of-use property, in response to determining that the target end-of-use property data corresponds to the end-of-use property data, receive chemical product data indicative of production conditions for producing the chemical product based on the one or more chemical product identifier(s), in response to determining that the target end-of-use property data corresponds to the end-of-use property data, provide the chemical product data for producing the target chemical product.
In one aspect, it relates to a system for producing a chemical product including a Processor and a Memory storing instructions that, when executed by the Processor, configure the system to - gather end-of-use property data indicative of an end-of-use property associated with an end product, where the end product is based on the chemical product, - gather one or more chemical product identifier(s) associated with the chemical product, - receiving target end-of-use property data indicating a range of the target end-of-use property associated with the end product based on the one or more chemical product identifier(s), - determining if the end-of-use property data corresponds to the target end-of-use property data, - in response to determining that the target end-of-use property data corresponds to the end-of-use property data, receiving chemical product data indicative of production conditions of the chemical product based on the one or more chemical product identifier(s), - in response to determining that the target end-of-use property data corresponds to the end-of-use property data, provide the chemical product data, in particular to a chemical production facility.
In one aspect, it relates to a non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a computer, cause the computer to perform the method as described herein or are configured to be carried out by any one of the systems as described herein. Other technical features may be readily apparent to one skilled in the art from the following figures, descriptions, and claims.
In one aspect, it relates to use of chemical product data provided according to the methods and/or system as described herein for producing a chemical product. Other technical features may be readily apparent to one skilled in the art from the following figures, descriptions, and claims.
EMBODIMENTS
In the following, terminology as used herein and/or the technical field of the present disclosure will be outlined by ways of definitions and/or examples. Where examples are given, it is to be understood that the present disclosure is not limited to said examples.
These and other objects, which become apparent upon reading the following description, are solved by the subject matters of the independent claims. The dependent claims refer to embodiments of the invention.
There is a desire to tailor the chemical production according to the requirements of an end consumer.
This can be achieved by introducing a feedbackloop as presented herein. The feedbackloop refers to the gathering end-of-use property data which is compared with the target end-of-use property data. The target end-of- use property data may be data available to the producer of chemical products prior to producing the chemical product. The producer of the chemical product supplies the chemical product to downstream participants of the supply chain for producing end products. Said end products may not necessarily be produced directly from the chemical product but may be produced from the chemical product via multiple production steps Because of the presence of multiple production steps between the end products and the chemical products used for producing the end products which may influence the properties of the end-product, tailoring the properties of the chemical product to the such target end-of-property use data may not necessarily result in achieving target property/ies of the end-product. Using feedback in the form of end-of-use property data enables the producer of the chemical product to adapt the production of the chemical product based on such received end-of-use property data. Thereby, the production of chemical products can be tailored to the specifications and/or requirements associated with the end product, hence avoiding the production of chemical products that result in end-products not fulfilling the specifications and/or requirements and need to be disposed of. Thus, receiving end-of-use property data and determining if it corresponds to the target end-of-use property data contributes to a more efficient and sustainable supply of chemical products to downstream participants. Ultimately, this improves the efficiency and increases the sustainability of the overall supply chain.
In an embodiment, aspect model may comprise a semantic description of the respective chemical product data set associated with the digital twin. The semantic description may include the structure of at least a portion of the chemical product data set, and/or properties of the chemical product data set. The properties of the chemical product data set may include data types. The properties of the chemical product data set may include possible or allowable values and/or value ranges. The properties of the chemical product data set may be a physical unit of at least one parameter described by values being comprised in the chemical product data set. The aspect model may be suitable for extracting a chemical product data set comprising the target property data from the chemical product data comprising the target property data. In particular, the aspect model may be suitable for extracting a subset of chemical product data into a chemical product data set.
In an embodiment, one or more chemical product data set(s) may refer to a data structure obtained upon applying the respective aspect model to the data associated with the physical entity of the chemical product. The chemical product data set may include values and/or value ranges defined in the aspect model used to generate the chemical product data set. Hence, each chemical product data set contains the data structure and data defined by the aspect model used for its generation. This ensures that each chemical product data set has a defined structure and contains defined data, thus allowing to simplify data exchange and processing of the exchanged data on chemical products. Chemical product data set may be generated according to an aspect model based on the chemical product data. The one or more chemical product data set(s) may be suitable for representing chemical product data. Chemical product data set may represent chemical product data. Chemical product data set may comprise a subset of chemical product data. Chemical product data set may refer to a selection of data points within the chemical product data.
In an embodiment, authentication information may be and/or may comprise a public key. The public key may be used by third-party entities to access information. The third-party entities may be given permission by the owner of the data the third-party entity accesses. The third-party entity may desire to access the digital twin and/or information in relation to the digital twin. Information in relation to the digital twin may comprise information to be derived from the digital twin by mathematical operations and/or data linked to the digital twin. For example, a chemical product passport of the chemical product may be linked to the digital twin.
In an embodiment, chemical product may refer to a product obtained by means of a chemical production process. Chemical production process may refer to a process including one or more chemical reaction(s). The chemical product may be and/or may comprise a polymer. The chemical product may include at least one of alkyl group, alkenyl group, alkynyl group, phenyl group, carbonyl group, ketone group, aldehyde group, hydroxyl group, haloformyl group, ester group, carboxylate group, halo group, carboxyl group, peroxy group, carboalkoxy group, hydroperoxyl group, ether group, acetal group, hemiacetcal group, hemiketal group, ketal group, carboxylic anhydride group, carboxamide group, amidine group, amine group, ketamine group, aldimine group, imide group, cyante group, azo group or a combination thereof.
In an embodiment, the polymer may be a chemical compound which comprises at least two monomer units. The monomer units may be regarded as subunits of the polymer. The polymer may be prepared from the monomers by commonly known polymerization reactions. The polymer may be produced from a single type of monomers or from different monomers. The monomer units may be distributed randomly or may be present as blocks within the polymer. The polymer may be a linear polymer. The polymer may be a branched polymer. The polymer may be a crosslinked polymer.
In an embodiment, compositions comprising at least one polymer (denoted as polymeric compositions hereinafter) and being associated with the composition passport or digital asset may be selected from compositions comprising at least one polymer selected from thermoset, thermoplastic, elastomer, thermoplastic elastomer; and copolymers and mixtures thereof.
Preferred polymeric compositions may be selected from compositions comprising at least one polymer selected from polyamide (PA), polyurethane (PU), low-density polyethylene (LDPE), high-density polyethylene (HDPE), polyethylene (PE), polypropylene (PP), polyvinyl chloride (PVC), polyvinyl acetate (PVA), polystyrene (PS), poly acrylonitrile butadiene styrene (ABS), poly styrene acrylonitrile (SAN), poly acrylate styrene acrylonitrile (ASA), polytetrafluoroethylene (Teflon), thermoplastic polyurethanes (TPU), poly(methyl acrylate) (PMA), poly(methyl methacrylate) (PMMA), polybutadiene (BR, PBD), poly(cis-1 ,4-isoprene), poly(trans-1 ,4-isoprene), polyoxymethylene (POM), polyethylene terephthalate (PET), polybutylene terephthalate (PBT), polybutylene adipate coterephthalate (PBAT), polyester (PES), polyether sulfone (PESU), polyhydroxyalkanoate (PHA), poly- 3-hydroxybutyrate (P3HB), poly-4-hydroxybutyrate (P4HB), polyhydroxyvalerate (PHV), polyhydroxyhexanoate (PHH), polyhydroxyoctanoate (PHO), polylactic acid (PLA), polysulfone (PSU), polyphenylene sulfone (PPSU); and copolymers and mixtures thereof.
Particularly preferred polymeric compositions may be selected from compositions comprising at least one polymer selected from PA 4, PA 5, PA 6, PA 7, PA 8, PA 9, PA 10, PA 11 , PA 12, PA 46, PA 66, PA 666, PA 69, PA 610, PA 612, PA 96, PA 99, PA 910, PA 912, PA 1212, PA 6.T, PA 9.T, PA 8.T, PA 10.T, PA 12. T, PA 6.1 , PA 8.1 , PA 9.I, PA 10.1 , PA 12.1 , PA 6.T/6, PA 6.T/10, PA 6.T/12, PA 6.T/6.I, PA 6.T/8.T, PA 6.T/9.T, PA 6.T/10T, PA 6.T/12.T, PA 12.T/6.T, PA 6.T/6.I/6, PA 6.T/6.I/12, PA 6.T/6.1/6.10, PA 6.T/6.1/6.12, PA 6.T/6.6, PA 6.T/6.10, PA 6.T/6.12, PA 10.T/6, PA 10.T/11 , PA 10.T/12, PA 8.T/6.T, PA 8.T/66, PA 8.T/8.I, PA 8.T/8.6, PA 8.T/6.I, PA 10.T/6.T, PA 10.T/6.6, PA 10.T/10.I, PA 10T/10.I/6.T, PA 10.T/6.I, PA 4.T/4.I/46, PA 4.T/4.I/6.6, PA 5.T/5.I, PA
5.T/5.I/5.6, PA 5.T/5.I/6.6, PA 6.T/6.I/6.6, PA MXDA.6, PA IPDA.I, PA IPDA.T, PA MACM.I, PA MACM.T, PA PACM.I, PA PACM.T, PA MXDA.I, PA MXDA.T, PA 6.T/IPDA.T, PA 6.T/MACM.T, PA 6.T/PACM.T, PA
6.T/MXDA.T, PA 6.T/6.1/8.T/8.1 , PA 6.T/6.I/10.T/10.I, PA 6.T/6.I/IPDA.T/IPDA.I, PA 6.T/6.I/MXDA.T/MXDA.I, PA 6.T/6.I/MACM.T/MACM.I, PA 6.T/6.I/PACM.T/PACM.I, PA 6.T/10.T/IPDA.T, PA 6.T/12.T/IPDA.T, PA 6.T/10.T/PACM.T, PA 6.T/12.T/PACM.T, PA 10.T/IPDA.T, PA 12.T/IPDA.T; and copolymers and mixtures thereof; preferably PA 6 and PA 66; and copolymers and mixtures thereof.
Preferred polymeric compositions may be compositions comprising at least one polyurethane obtainable by reacting a composition A with a composition B.
The composition A may comprise a compound comprising at least two, preferably two or three, isocyanate groups. With preference, the composition A may comprise a compound selected from aliphatic, cycloaliphatic and aromatic compounds comprising at least two, preferably two or three, isocyanate groups, more preferably wherein the compound is selected from 2,2'-, 2,4'- and 4,4'-methylene diphenyl diisocyanate (MDI) and homologs thereof, isophorone diisocyanate (I PDI), 2,4- and 2,6-toluene diisocyanate (TDI), tetramethylene diisocyanate, hexamethylene diisocyanate (HDI), naphthylene diisocyanate (NDI); and oligomers and mixtures thereof.
The composition B may comprise a compound comprising at least two alcohol groups. With preference, the compound B may be selected from an aliphatic, cycloaliphatic and aromatic compound comprising at least two alcohol groups. With particular preference, the composition B may comprise a compound selected from polyol, polyetherpolyole, polyesterpolyole, and mixtures thereof. Very preferred, the composition B may comprise a compound having a molecular weight of 400 g/mol to 15,000 g/mol and said compound may be selected from polyol, polyetherpolyole, polyesterpolyole, and mixtures thereof.
The composition B may comprise a compound comprising at least two functional groups reactive to isocyanate groups, preferably at least two functional groups selected from alcohol, amine; and mixtures thereof.
The composition B may comprise ethylene glycol, diethylene glycol, triethylene glycol, tetraethylene glycol, propylene glycol, dipropylene glycol, tripropylene glycol, 1 ,3-propanediol, 1 ,3-butanediol, 1 ,4-butanediol, neopentyl glycol, 1 ,6-hexanediol, 1 ,4-cyclohexanedimethanol, hydroquinone bis(2-hydroxyethyl)ether, ethanolamine, diethanolamine, methyldiethanolamine, phenyldiethanolamine, glycerol, trimethylolpropane, 1 ,2,6-hexanetriol, triethanolamine, pentaerythritol, N,N, N',N'-tetrakis(2-hydroxypropyl)ethylenediamine, diethyltoluenediamine, dimethylthiotoluenediamine; and mixtures thereof; optionally copolymerized with an epoxide compound, preferably ethylene oxide and/or propylene oxide.
In an embodiment, compositions comprising at least one compound having at least one functional group (denoted as functional group compound compositions hereinafter) and being associated with the composition passport or digital asset may be selected from compositions comprising at least one compound having at least one functional group being selected from alcohol, aldehyde, carboxylic acid, thiocyanate, isocyanate, nitrile, thiol, halide; preferably F, Cl, Br, I; amine, ketone, ether, ester, amide, urethane, and mixtures thereof.
The functional group compound compositions may comprise at least one compound comprising at least two alcohol groups, such as an aliphatic, cycloaliphatic and aromatic compound comprising at least two alcohol groups. With preference, the compound may be selected from polyol, polyetherpolyole, polyesterpolyole, and mixtures thereof. With particular preference, the compound may have a molecular weight of 400 g/mol to 15,000 g/mol and may be selected from polyol, polyetherpolyole, polyesterpolyole, and mixtures thereof.
The functional group compound compositions may comprise at least one compound comprising at least two functional groups reactive to isocyanate groups, such as at least two functional groups selected from amine; and mixtures thereof.
The functional group compound compositions may comprise at least one compound comprising at least two, preferably two or three, isocyanate groups, such as from aliphatic, cycloaliphatic and aromatic compounds comprising at least two, preferably two or three, isocyanate groups. With preference, the compound may be selected from 2,2'-, 2,4'- and 4,4'-methylene diphenyl diisocyanate (MDI) and homologs thereof, isophorone diisocyanate (I PDI), 2,4- and 2,6-toluene diisocyanate (TDI), tetramethylene diisocyanate, hexamethylene diisocyanate (HDI), naphthylene diisocyanate (NDI); and oligomers and mixtures thereof.
The functional group compound compositions may comprise at least one compound selected from lactam, preferably - lactam, y-lactam, 5-lactam, and a s-lactam, and mixtures thereof; more preferably p-propiolactam, y-butyrolactam, 5-valerolactam, s-caprolactam; and mixtures thereof.
In an embodiment, the composition comprising at least one polymer may further comprise at least one additive.
In an embodiment, the composition comprising at least one compound having at least one functional group may further comprise at least one additive.
The at least one additive may be selected from glass fiber, flame retardant, catalyst, blowing agent, colorant; and mixtures thereof.
In an embodiment, the chemical product may be produced, e.g. by the chemical product producer. The target chemical product may be desired to be produced and/or may be produced after the chemical product and/or the end product was produced. The end product may be based on the chemical product. The end product may be produced based on the chemical product, in particular may be produced from the chemical product. The chemical product may have been used to produce the end product. The chemical product may have been supplied to a chemical product consumer for producing the end product and/or an intermediate product suitable for producing the end product. The target chemical product may be produced according to the chemical product data indicative of production conditions of the chemical product if the end-of-use property data corresponds to the target end-of- use property data. The chemical product and the target chemical product may comprise the same chemical composition and/or may be produced based on the same one or more educts and one or more reactions of the one or more educts. In an embodiment, the chemical product may be produced based on a continuous and/or batch process.
In an embodiment, chemical product data may be associated with the chemical product. Chemical product data may indicate at least one property associated with the chemical product. In particular, chemical product data may be related to the property associated with the chemical product. Preferably, the chemical product data may indicate the property associated with the chemical product. Property associated with the chemical product may comprise at least one of chemical product name, qualitative chemical product composition, quantitative chemical product composition, chemical product processing instruction, qualitative chemical educt composition, quantitative chemical product educt composition, educt product processing instruction, chemical educt production data, material property, environmental attribute, chemical product production data, chemical product declaration data, chemical product safety data or a combination thereof. Property may comprise and/or may be a target property. Chemical product data may comprise one or more chemical product data set(s). Additionally or alternatively, the chemical product data may comprise target end-of-use property data and/or the chemical product data may indicate the target end-of-use property associated with the end product based on the chemical product.
In an embodiment, a computing node may refer to any device or system that includes at least one physical and tangible processor, and a physical and tangible memory capable of having thereon computer-executable instructions that are executed by a Processor.
Computing nodes may, for example, be handheld devices, production facilities, sensors, monitoring systems, control systems, appliances, laptop computers, desktop computers, mainframes, data centers, or even devices that have not conventionally been considered a computing node, such as wearables (e.g., glasses, watches or the like). The memory may take any form and depends on the nature and form of the computing node.
In an embodiment, digital twin may refer to a digital representation of a physical entity of the chemical product. The digital representation of the physical entity may comprise a defined semantic description of said physical entity of the chemical product. The digital twin of the chemical product is hence a digital version of the physical entity of the chemical product. The digital twin may be a digital representation of the chemical product in a real- world system. The digital twin may reflect the form and behavior of the chemical product associated with the digital twin. Additionally or alternatively, the digital twin may mirror the properties of the chemical product during its lifetime. The digital twin may be generated from chemical product data based on an aspect model. In particular the digital twin may comprise at least a part of the chemical product data and/or one or more chemical product data set(s). Followingly, the digital twin may comprise a defined structure of chemical product data. For example, sensors may capture real-time (or near real-time) data, such as transport data, from the chemical product to relay it back to a remote digital twin. The digital twin may be updated to maintain its correspondence to the physical entity of the chemical product. The digital twin may be updated based on data gathered independently from the chemical product data and/or the chemical product data set(s) used for generating the digital twin, in particular chemical product data and/or the chemical product data set(s) comprising sensor data. Sensor data may be data gathered by a sensor. For example, a sensor may be a hard sensor and/or a soft sensor.
In an embodiment, end product refers to a product based on the chemical product. The end product may further refer to a product intended for waste processing after use. Additionally or alternatively, end product may refer to a product intended to be become waste after use. The end product may be produced at the end of a value chain. The end product may be used by an end-consumer. Usually, end-consumer may be a private person. The end product may comprise and/or may be produced based on a chemical product. The chemical product may be used for producing the end product and/or the chemical product may be processed to yield at least a part of an end product. For producing the end product, the chemical product may be supplied to a downstream participant. Downstream participant of a supply chain may be a consumer of the chemical product. Consumer of the chemical product may be an entity using the chemical product, in particular processing the chemical product.
In an embodiment, end-of-use property may refer to a measure for a property associated with the end product and a value associated with the measure.
End-of-use property may specify and/or may be indicative of a end-of-use property. The use property may refer to a property relevant for the performance of the end product during use. Property relevant for the performance of the end product during use may be a physical property and/or a chemical property and/or a property derived from the physical property and/or a property derived from the chemical property. Property derived from the chemical property may refer to a property obtained by performing one or more mathematical operation(s) on data associated with the chemical property. Property derived from the physical property may refer to a property obtained by performing one or more mathematical operation(s) on data associated with the physical property. A chemical property may be a property defined by the structure of the at least one chemical substance. Chemical property may be a property that can be established only by changing the structure of the at least one chemical substance. Examples for chemical properties may be acidity, oxidation state or reactivity. Physical property may be one of the following: mechanical properties, electrical properties, optical properties, thermal properties or the like. For example, physical property may comprise one or more of the following density, scratch resistance, electrical conductivity, color, absorption, heat capacity or the like. In particular, end-of-use property may refer to a property of the end product at the end of use stage.
In an embodiment, end-of-use property data may refer to data indicative of the measure for a property associated with the end product and/or may include the value associated with the end-of-use property. End-of-use property data may be indicative of an end-of-use property associated with a end product. End-of-use property data may indicate an end-of-use property. End-of-use property data may specify an end-of-use property and/or may be suitable for obtaining an end-of-use property. In particular, end-of-use property data may include the end-of-use property and/or a measure suitable for obtaining the end-of-use property by means of one or more mathematical operation(s).
In an embodiment, end-of-use stage may refer to a point in time of the end-of-use associated with a end product. End-of-use stage may refer to a point in time after the end product was applied lastly. End-of-use may refer to a state of a end product during its lifetime. End-of-use stage may be preceded by a last application of the end product. End-of-use stage may be indicated and/or initiated by receiving the end product at a waste processing unit. End-of-use stage may refer to a point in time where the target end-of-use property is reached.
In an embodiment, memory may refer to a physical system memory, which may be volatile, non-volatile, or a combination thereof. The memory may include non-volatile mass storage such as physical storage media. The memory may be a computer-readable storage media such as RAM, ROM, EEPROM, CD-ROM, or other optical disk storage, magnetic disk storage, or other magnetic storage devices, non-magnetic disk storage such as solid- state disk or any other physical and tangible storage medium which can be used to store desired program code means in the form of computer-executable instructions or data structures and which can be accessed by the computing system. Moreover, the memory may be a computer-readable media that carries computer-executable instructions (also called transmission media). Further, upon reaching various computing system components, program code means in the form of computer-executable instructions or data structures can be transferred automatically from transmission media to storage media (or vice versa). For example, computer-executable instructions or data structures received over a network or data link can be buffered in RAM within a network interface module (e.g., a “NIC”), and then eventually transferred to computing system RAM and/or to less volatile storage media at a computing system. Thus, it should be understood that storage media can be included in computing components that also (or even primarily) utilize transmission media.
In an embodiment, one or more chemical product identifier(s) may include one or more decentral identifier(s). The one or more chemical product identifier(s) may be uniquely associated with, in particular linked to, the chemical product and/or with the end product, wherein the end product may be uniquely associated and/or linked to the chemical product. In an embodiment, one or more decentral identifier(s) may comprise any unique identifier uniquely associated with the chemical product and the respective chemical product data and optionally the data owner. The decentral identifier may include a Universally Unique I Dentifier (UUID) or a Digital I Dentifier (DID). The decentral identifier may be issued by a central or decentral identity issuer. The decentral identifier may be generated by the data owner or on behalf of the data owner. The decentral identifier may include authentication information. Via the decentral identifier and its unique association with the chemical product and the respective chemical product data and optionally the data owner, access to the chemical product data may be controlled by the data owner. This contrasts with central authority schemes, where identifiers are provided by such central authority and access to data is controlled by such central authority. Decentral in this context refers to the usage of the identifier in implementations as controlled by the data owner.
In an embodiment, one or more mathematical operation(s) may comprise one or more of the following multiplication, integration, division, summation, subtraction, derivation, applying a mathematical operator or a combination thereof.
In an embodiment, Processor may refer to an arbitrary logic circuitry configured to perform basic operations of a computer or system, and/or, generally, to a device which is configured for performing calculations or logic operations. In particular, the Processor, or computer Processor may be configured for processing basic instructions that drive the computer or system. It may be a semi-conductor based Processor, a quantum Processor, or any other type of Processor configures for processing instructions. As an example, the Processor may be or may comprise a Central Processing Unit ("CPU"). The Processor may be a (“GPU”) graphics processing unit, (“TPU”) tensor processing unit, ("CISC") Complex Instruction Set Computing microprocessor, Reduced Instruction Set Computing ("RISC") microprocessor, Very Long Instruction Word ("VLIW") microprocessor, or a Processor implementing other instruction sets or Processors implementing a combination of instruction sets. The processing means may also be one or more special-purpose processing devices such as an Application-Specific Integrated Circuit ("ASIC"), a Field Programmable Gate Array ("FPGA"), a Complex Programmable Logic Device ("CPLD"), a Digital Signal Processor ("DSP"), a network Processor, or the like. The methods, systems and devices described herein may be implemented as software in a DSP, in a micro-controller, or in any other side-Processor or as hardware circuit within an ASIC, CPLD, or FPGA. It is to be understood that the term Processor may also refer to one or more processing devices, such as a distributed system of processing devices located across multiple computer systems (e.g., cloud computing), and is not limited to a single device unless otherwise specified.
In an embodiment, range of the target end-of-use property may refer to a specification of a target range in relation to the end-of-use property. In particular, the range of the target end-of-use property may indicate a range of values associated with the target end-of-use property. Thus, range of the target end-of-use property may indicate and/or comprise one or more values associated with the target end-of-use property. In particular, the range of the target end-of-use property may be specified based on the one or more values associated with the target end-of-use property. Range of the target end-of-use property may indicate a set of values associated with the target end-of-use property. Range of the target end-of-use property may specify target end-of-use property of a end product suitable for a predefined application.
Target end-of-use property independent of the range of the target end-of-use property may not be suitable for the predefined application. For example, the range of the target end-of-use property may comprise one value associated with the target end-of-use property and the one value may indicate a range above or beneath the one value. In another example, the range of the target end-of-use property may comprise two or more values and the range of the target end-of-use property may be defined by the two or more values, in particular between the two or more values or excluding the set of values between the two or more values from a larger set of values.
In an embodiment, target end-of-use property may refer to a term for a target measure of the end product and a value associated with the target measure of the end product. Target end-of-use property may be a desired end-of- use property, in particular at an end-of-use stage. The target end-of-use property may specify a desired end-of- use property of the end product at the end-of-use stage. Preferably, the target end-of-use property may be specified prior to the application of the end product, prior to the waste processing of the end product and/or during the production of the end product and/or prior to the production of the end product. At least a part of the chemical product the end product is based on may be associated with the target end-of-use property. Preferably, the target end-of-use property may be attributed at least in parts to the chemical product the end product is based on.
In an embodiment, target end-of-use property data may refer to data indicative of the target measure of the end product and/or may include the value associated with the target end-of-use property. Target end-of-use property data may be indicative of a target end-of-use property associated with a end product. Target end-of-use property data may indicate a target end-of-use property. Target end-of-use property data may specify a target end-of-use property and/or may be suitable for obtaining a target end-of-use property. In particular, Target end-of-use property data may include the target end-of-use property and/or a measure suitable for obtaining the target end- of-use property by means of one or more mathematical operation(s).
In an embodiment, gathering as used herein may refer to receiving and/or retrieving.
In an embodiment, the system, the memory and/or the Processor are part of a computing node. The system may implement central computing, decentral computing and/or distributed computing. Distributed computing may refer to any computing that utilizes multiple computing resources. Such use may be realized through virtualization of physical computing resources. One example of distributed computing is cloud computing. “Cloud computing” may refer to a model for enabling on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services). When distributed, cloud computing environments may be distributed internationally within an organization and/or across multiple organizations. Central computing may refer to computing with a plurality of computing nodes, wherein one of the plurality of computing nodes, the so-called central computing node, is connected to the rest of the plurality of computing nodes. Decentral computing may refer to computing independent of any central computing node. In particular, decentral computing may refer to computing with a plurality of computing nodes, wherein the highest number of connections of one computing node may be smaller than the number of computing nodes minus 1 .
In an embodiment, chemical product data indicative of production conditions may be suitable for controlling at least a part of the production of the chemical product. Chemical product data indicative of production conditions may comprise one or more production conditions parameters including physical parameters, chemical parameters or the like.
In an embodiment, gathering the end-of-use property data and/or the one or more chemical product identifier(s) may be based on an end-of-use trigger. Gathering the end-of-use property data and/or the one or more chemical product identifier(s) based on an end-of-use trigger may comprise receiving an indication of an end-of-use trigger and gathering the end-of-use property data and/or the one or more chemical product identifier(s) in response to receiving an indication of the end-of-use trigger. Indication of the end-of-use trigger may be associated with and/or may comprise a request for gathering the end-of-use property data and/or the one or more chemical product identifier(s). Preferably, the request may be received at the end-of-use stage of a end product and/or after the occurrence of an end-of-life event. Gathering the end-of-use property data may include generating sensor data related to the end product, in particular at an end-of-life stage and/or associated with an end-of-life event. Gathering the end-of-use property data may include performing one or more analytical measurement(s) associated with at least a part of the end product, in particular the part of the end product associated with the chemical product. For example, where the end product may be a shoe and the sole of the shoe may be produced from a polymer, the end-of-use property data may be associated with the sole of the shoe. The end-of-use property data may be gathered by providing a request for retrieving the end-of-use property to a database. Additionally or alternatively, end-of-use property data may be gathered by a end product processor such as a dismantler and/or recycler associated with the end product. Additionally or alternatively, end-of-use property data may be gathered by the chemical product producer, in particular in response to receiving at least a part of the end product associated with the chemical product from the end product processor. The end product may be associated with one or more digital twin(s) with the chemical product and/or the chemical product producer. Hence, the chemical product producer may be determined from the end product, in particular a digital twin associated with the end product. The end product may be associated with an identifier, in particular a decentral identifier. The identifier, in particular a decentral identifier, may be assigned to the end product, e.g. via a QR code. The chemical product producer may be identified based on the end product, in particular the identifier associated with the end product.
In an embodiment, end-of-use trigger may be associated with an end-of-use event and/or may be initiated by an end-of-use event. The end-of-use event may include, but is not limited to, the detection of an end-of-use state via sensor(s), the detection of the end-of-use state by an interaction with the end product or end product user, the determination of the end-of-use state through meta data associated with the end product such as location, or the determination of the end-of-use state by predefined conditions such as timing.
In an embodiment, the end-of-use trigger may be generated by a trigger providing service associated with the user of the end product. The computing node configured to provide the trigger providing service may be associated with the user of the end product as participant of the decentral network. The end-of-use trigger may be provided to a trigger consuming service associated with the chemical product producer. The computing node configured to provide the trigger consuming service may be associated with the chemical producer as participant of the decentral network.
In another embodiment, the at least one end-of-use trigger may be associated with one or more chemical product identifier(s), in particular one or more decentral identifier(s), associated with the chemical product used to produce or contained in the end product. The end-of-use trigger may include the one or more decentral identifier(s) associated with the chemical product used to produce or contained in the end product. The end-of use trigger may comprise the one or more chemical product identifier(s), in particular one or more decentral identifier(s). In an embodiment, the end-of-use trigger may be associated with the chemical product used to produce the end product.
In an embodiment, end-of-use trigger may be suitable for initiating the gathering of the end-of-use property data and/or the one or more chemical product identifier(s).
In an embodiment, the end-of-use property data may be gathered by a sensor and/or the end-of-use property data may be obtained from spectroscopic data. The sensor may collect end-of-use property data and/or data suitable for deriving end-of-use property data. Data suitable for deriving end-of-use property data may comprise data to be transformed into end-of-use property data by applying one or more mathematical operation(s). An example for data suitable for deriving end-of-use property data may be spectroscopic data such as infrared or UVVis spectroscopic data. Spectroscopic data may be suitable for deriving a property. Hence, the end-of-use property data may be gathered based on spectroscopic data of a end product, preferably obtained by a sensor. This is advantageous since sensors for obtaining spectroscopic data can be easily installed into product receiving entities are provide fast, reliable and robust results while mainly being non-invasive.
In an embodiment, the one or more chemical product identifier(s) may be gathered by a sensor and/or an identifier (ID) reader. The end product may comprise a representation of the one or more chemical product identifier(s) and/or a representation of one or more end product identifier(s) associated with the one or more chemical product identifier(s). The ID reader may be configured for reading the representation of the one or more chemical product identifier(s). Based on reading the representation of the one or more chemical product identifier(s) a request for receiving and/or accessing the target end-of-use property data and/or the chemical product data indicative of production conditions of the chemical product. One or more chemical product identifier(s) gathered by a sensor may be for example chemical fingerprint. Gathering one or more chemical product identifier(s) may comprise detecting the chemical fingerprint with a sensor. Chemical fingerprint may comprise a spectrum associated with the chemical product. For example, an I R spectrum and/or a UV Vis spectrum may be used as a chemical fingerprint. Gathering the one or more chemical product identifier(s) may comprise using the one or more end product identifier(s) for accessing the one or more chemical product identifier(s). End product identifier may be uniquely associated with the end product and/or a digital twin of the end product. End product identifier may be suitable for accessing the one or more chemical product identifier(s).
In an embodiment, the end-of-use trigger is generated based on the end product reaching an end-of-use stage. An end-of-use property should be obtained once the end-of-use stage is reached. Introducing an end-of-use trigger in connection with the use product enables the automatic gathering of end-of-use property data. This is advantageous since the intended recipient of the end-of-use property data, the chemical product producer, cannot interact upon the end product reaching the end-of-use stage. Followi ngly , the automation by means of an end-of- use trigger enables the collection of valuable end-of-use property data for improving chemical production processes. In particular, this collection is independent of the waste processing entity and does not require the chemical product producer to interact with every end product reaching the end-of-use stage, but enables a step-in once the end-of-use stage is reached by an end product based on the chemical product.
In an embodiment, receiving the chemical product data based on the one or more chemical product identifier(s) and/or receiving the target end-of-use property data based on the one or more chemical product identifier(s) may be in response to providing a request for receiving the chemical product data associated with the one or more chemical product identifier(s) and/or providing a request for receiving the target end-of-use property data associated with the one or more chemical product identifier(s). Additionally or alternatively, the method may further comprise providing a request for receiving the chemical product data associated with the one or more chemical product identifier(s) and/or providing a request for receiving the target end-of-use property data associated with the one or more chemical product identifier(s). In particular, the request for receiving the chemical product data and/or for receiving the target end-of-use property data may be provided prior to receiving the chemical product data and/or receiving the target end-of-use property data. Preferably, the chemical product data and/or the target end-of-use property data may be received in response to providing a request for receiving the chemical product data associated with the one or more chemical product identifier(s) and/or providing a request for receiving the target end-of-use property data associated with the one or more chemical product identifier(s). The request for receiving the target end-of-use property data and/or the request for receiving the chemical product data may further be associated with authentication information. Authentication information may be suitable for authenticating or authorizing the request.
In an embodiment, the request for receiving the chemical product data and/or the request for receiving the target end-of-use property data may include authentication information.
In an embodiment, the chemical product may be associated with a digital twin of the chemical product and the chemical product data may be associated with the digital twin of the chemical product. The chemical product being associated with a digital twin of the chemical product may refer to the chemical product linked to the digital twin, in particular by the one or more chemical product identifier(s). The chemical product data being associated with the digital twin of the chemical product may refer to the digital twin that may comprise the chemical product data. The digital twin may, additionally or alternatively, comprise the target end-of-use property data. The digital twin can be seen as a digital representation of a physical object. Hence, the digital twin may refer to a digital repository of information in relation to a physical object such as the chemical product and the end product. This digital repository can be accessed based on the one or more chemical product identifier(s) and/or the one or more end product identifier(s).
In an embodiment, the end product may be associated with a digital twin of the end product. Further, the digital twin of the chemical product may be associated with the digital twin of the end product. Digital twin of the chemical product associated with the digital twin of the end product may refer to the digital twin of the chemical product being linked to the digital twin of the end product. By doing so, the digital twins of the respective products mirror in addition to the physical products - such as the chemical product and the end product - the relationship between the physical products. This enables a follow back of the supply chain from the end product. Usually end product may not be related by eye to the raw materials or the chemical product it is based on. In particular, if chemical products from different suppliers hardly differ, a transparent digital link between the products is necessary for efficient recycling and efficient design of products.
Using one or more chemical product identifier(s) for gathering information about the chemical product such as chemical product data and target end-of-use property data enables an easy access to the information about the chemical product. Further, only entities having the one or more chemical product identifier(s) can access the information about the chemical product by requesting it. Introducing authentication prior to providing the request allows the data owner to steer the access to the data owned, here the chemical product data and target end-of- use property data. The authentication introduces trust into the data exchange and the direct communication between entities independent of a network introduces self-controlled and trustworthy exchange of data. This comes with the benefit of directed, easy and efficient data sharing between entities and enables industryoverarching communication to improve supply chains in terms of sustainability.
In an embodiment, the one or more chemical product identifier(s) may be gathered based on one or more end product identifier(s) associated with end product. This is beneficial since it is usually not obvious from the end product that and if, which chemical product was used for producing the end product. Hence, once the end product reaches the end-of-use stage and/or is transmitted to a waste processing entity, the digital representation of the end product may be accessed via the one or more end product identifier(s). Followingly, using the end product identifier(s) enables a recognition of the chemical product the end product is based on. Ultimately, the retrieval of end-of-use property data to improve the production efficiency and sustainability is enabled.
In an embodiment, the one or more chemical product identifier(s) and/or the one or more end product identifier(s) may comprise one or more decentral identifier(s). In particular, the one or more chemical product identifier(s) may comprise one or more decentral chemical product identifier(s). The one or more decentral chemical product identifier(s) may refer to one or more decentral identifier(s) associated with the chemical product. In particular, the one or more end product identifier(s) may comprise one or more decentral end product identifier(s). The one or more decentral end product identifier(s) may refer to one or more decentral identifier(s) associated with the end product.
In an embodiment, the one or more chemical product identifier(s) may be uniquely associated with the chemical product and/or the one or more end product identifier(s) are uniquely associated with the end product. This allows for an unambiguously linking of the above described identifier(s) and physical products.
In an embodiment, in response to determining that the end-of-use property data is outside of the range of the target end-of-use property indicated by the target end-of-use property data, chemical product data associated with a chemical product different to the chemical product associated with the chemical product data already received may be received and/or provided. The chemical product data may be indicative of production conditions other than the production conditions according to which the chemical product was produced. If the production conditions do not allow to produce the chemical product of desired quality, the production conditions have to be adjusted. Thereby, the production efficiency is increased, and the desired quality ensure a sustainable use of the end product based on the chemical product. If the production conditions allow to produce the chemical product with a quality higher than necessary for the application of the end product, resources and time are saved by adjusting the production conditions to arrive at desired and efficient end-of-use properties.
In an embodiment, mapping the end-of-use property data to the target end-of-use property data may comprise determining if the end-of-use property data corresponds to the target end-of-use property data. Determining if the end-of-use property data corresponds to the target end-of-use property data may comprise comparing the end-of- use property data with the target end-of-use property data.
BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS
In the following, the present disclosure is further described with reference to the enclosed figures. The same reference numbers in the drawings and this disclosure are intended to refer to the same or like elements, components, and/or parts.
FIG. 1 illustrates an example embodiment of a product life cycle associated with an end product
FIG. 2 illustrates an embodiment of a method for producing a chemical product and/or a method for determining production conditions of a chemical product. FIG. 3 illustrates an embodiment of a system for producing a chemical product and/or a system for determining production conditions of a chemical product.
FIG. 4 illustrates an embodiment of a system for producing a chemical product and/or a system for determining production conditions of a chemical product 406.
FIG. 5 illustrates an example embodiment of a decentral network environment.
DETAILED DESCRIPTION
The following embodiments are mere examples for implementing the method, the system or application device disclosed herein and shall not be considered limiting.
FIG. 1 illustrates an example embodiment of a product life cycle associated with an end product. The product life cycle may represent the temporal succession of events in the life of a product. The product life cycle may be initiated with the supplying of raw materials. From these raw materials a chemical production facility 106 may produce a chemical product 108. The production of the chemical product 108 may include one or more, preferably a multitude of processing steps, in particular chemical processing steps. A chemical processing step may include a chemical reaction. Hence, raw materials may be processed via one or more chemical processing steps into the chemical product 108. Processing raw materials via one or more chemical processing steps may result in changing the chemical structure associated with at least a part of the raw materials. In particular, by changing at least a part of the chemical structure of the raw materials, the chemical product 108 may be obtained. In other words, producing the chemical product 108 may include the changing of the chemical identity of the raw materials. The chemical product 108 may be suitable for being processed into an end product. The chemical product 108 may be adapted to be processed into a end product with target end-of-use properties. Followingly, the properties of the chemical product 108 may be adapted such that the end product based on the chemical product 108 has the target end-of-use properties. The target end-of-use property may refer to a target property of an end product at an end-of-use stage 118. Therefore, the end-of-use property may be referred back to the chemical product 108. Further, the production of the chemical product 108 may be adapted to provide a chemical product 108 from which an end product can be produced with end-of-use properties corresponding to the target end-of-use properties. Followingly, the end-of-use property of a end product at an end-of-use stage 118 is valuable information for the design of production facilities and production routes associated with the chemical product 108. Obtaining the end- of-use property of an end product at an end-of-use stage 118 enables an improved, less resource-intensive production of chemical products 108.
As supply chains including chemical products 108 are usually highly complex and involve a lot of processing steps to yield the chemical product 108 and from the chemical product 108 the end product, the relation between the chemical product 108 and the end product is easily lost. Usually, the end product can hardly be traced back to the up-stream raw materials and early-stage products of the supply chain such as chemical products 108. The information including the end-of-use properties of end product at an end-of-use stage 118 can be lost. Hence, there is a desire for traceability of a supply chain in relation to the chemical product 108. This can be achieved by introducing one or more chemical product identifier(s). These identifiers link the chemical product to the end product and allow for a backtracking from the end product to the early-stage chemical product 108.
The chemical product 108 may be supplied to a consumer good production facility 110. The consumer good production facility 110 may process the chemical product 108 via one or more processing steps to an end product as produced 114. Further chemical products and/or further raw materials may be used for producing the end product as produced 1 14. The end product as produced 114 may be supplied to an end consumer 1 16. The end consumer 1 16 may be a private person. The end consumers 116 may use the end product as produced 1 14. The end consumer 116 may desire the end product as produced 114 to have use properties. During the use of the end product, the use properties may degrade until the end-of-use stage is reached. The end consumer 1 16 may use the end product until the end-of-use stage is reached. The end-of-use stage may be reached at a predefined point in time, e.g. specified by a period of time. The end-of-use stage may be reached once the end-of-use property is reached. Ideally, the end product is associated with target end-of-use properties at the end-of-use stage. At the end-of-use stage, the end consumer 116 may provide the end product at an end-of-use stage 1 18 to waste processing 120. Waste processing 120 may include dismantling, waste sorting, recycling, combustion or the like. At the stage of waste processing 120 end-of-use property data may be gathered as described in the context of FIG. 2. The end product reaching an end-of-use stage and/or the end product at an end-of-use stage 118 being provided to waste processing 120 may trigger the flow described in the context of FIG. 2.
As it can be seen in FIG. 1 , the end product and the chemical product are associated with an identifier. The identifier herein may be represented in a scanner-readable format. The chemical product and the end product may be linked to a digital twin. The digital twin of the chemical product 102 may be uniquely connected or linked to the chemical product 108. The digital twin of the end product 104 may be uniquely connected or linked to the end product. Further, the digital twin of the chemical product 102 and the digital twin of the end product 104 may be connected or linked. The end product may be based on the chemical product 108 and the digital twin of the chemical product 102 and the digital twin of the end product 104 may reflect the product relationship by a connection. For example, the digital twins of end product 104 may comprise the one or more chemical product identifier(s). The one or more chemical product identifier(s) may be suitable for finding the digital twin of the chemical product 102. The digital twin of the chemical product 102 may comprise chemical product data. Followingly, the chemical product data may be gathered based on the one or more chemical product identifier(s) as described in the context of FIG. 2.
FIG. 2 illustrates an embodiment of a method for producing a target chemical product and/or a method for determining production conditions for producing a target chemical product. The target chemical product may be associated with target property data indicative of one or more target properties. As described in the context of FIG. 1 , the workflow may be triggered by the end product reaching an end-of-use stage and/or the end product being provided to waste processing. Followingly, gathering end-of-use property data indicative of an end-of-use property associated with an end product, wherein the end product may be based on the chemical product 202 may be initiated by or may be based on the end product being provided to waste processing. Gathering end-of-use property data 202 may comprise generating end-of-use property data, e.g. by a sensor, and/or receiving the end- of-use property data. In an example, the end-of-use property data may be gathered by a waste processing entity. In another example, the end product produced from the chemical product or at least a part of the end product associated with the chemical product may be provided to the producer of the chemical product. The producer of the chemical product may gather the end-of-use property data. For this purpose, the waste processing unit may identify at least part of the end product associated with the chemical product and may provide at least the part of the end product associated with the chemical product to the producer of the chemical product. The end-of-use property data may be gathered by a sensor and/or spectroscopic methods, e.g. infrared spectroscopy or UV Vis spectroscopy. This end-of-use property data may include one or more end-of-use properties. Gathering end-of- use property data indicative of an end-of-use property associated with an end product may be performed by the system as described in the context of FIG. 3.
One or more chemical product identifier(s) associated with the chemical product are gathered 204. As described in the context of FIG. 1 , the end product may be associated with a digital twin. The digital twin of the end product may be accessed via one or more end product identifier(s). The digital twin of the end product may comprise a linker to the digital twin of the chemical product and/or the one or more chemical product identifier(s) associated with the digital twin of the chemical product. Followingly, the one or more chemical product identifier(s) may be gathered based on one or more end product identifier(s). In particular, the one or more end product identifier(s) may be obtained based on the end product. Hence, the one or more chemical product identifier(s) may be gathered based on the end product. For example, the end product may comprise a scanner-readable representation of the one or more end product identifier(s). The one or more chemical product identifier(s) may be gathered by scanning the scanner-readable representation of the one or more end product identifier(s). Additionally or alternatively, the one or more chemical product identifier(s) may be gathered by receiving the one or more chemical product identifier(s) from the digital twin of the end product. In another embodiment, the end product may comprise a linker or a representation of the one or more chemical product identifier(s). Hence, the one or more chemical product identifier(s) may be gathered by scanning a scanner-readably representation of the one or more chemical product identifier(s) associated with the end product. Gathering one or more chemical product identifier(s) associated with the chemical product may be performed by the system as described in the context of FIG. 3. Target end-of-use property data indicating a range of the target end-of-use property associated with the end product is received based on the one or more chemical product identifier(s) 206. The digital twin of the chemical product may comprise target end-of-use property data. The target end-of-use property data may be received from the digital twin of the chemical product by providing a request for receiving the target end-of-use property data of the digital twin of the chemical product and receiving the target end-of-use property data of the digital twin of the chemical product. The request for receiving the target end-of-use property data of the digital twin of the chemical product may be associated with authentication information. Authentication information may be suitable for authenticating the request for receiving the target end-of-use property data of the digital twin of the chemical product. The target end-of-use property data of the digital twin of the chemical product may be received in response to providing a request for receiving the target end-of-use property data of the digital twin of the chemical product including authentication information suitable for authenticating the request. The target end-of-use property data may be stored in the form of one or more chemical product data set(s). An aspect model may be used to gather the target end-of-use property data from the one or more chemical product data set(s). For this purpose, the aspect model may be received at an operating system associated with the data providing service, wherein the data providing service may generate the target end-of-use property data based on the aspect model, e.g. by applying the aspect model to the one or more chemical product data set(s), and the request for receiving the target end-of-use property data of the digital twin of the chemical product.
In an embodiment, the target end-of-use property data may be gathered, in particular according to the aspect model while generating the digital twin or after having generated the digital twin. Preferably, the generating of the digital twin may initiate the gathering of the target end-of-use property data.
In another embodiment, the target end-of-use property data may be received based on the digital twin of the end product. For this purpose, one or more chemical product identifier(s) may be used. In particular, receiving the target end-of-use property data may be based on providing a request for receiving the target end-of-use property data from the digital twin of the end product. The request may be associated with one or more chemical product identifier(s). As described above, the request for receiving the target end-of-use property data from the digital twin of the end product may be associated with authentication information.
Receiving target end-of-use property data indicating a range of the target end-of-use property associated with the end product may be performed by the system as described in the context of FIG. 3.
It is determined if the end-of-use property data corresponds to the target end-of-use property data 210. Determining if target end-of-use property data indicating a range of the target end-of-use property associated with the end product corresponds to the end-of-use property data may include comparing the end-of-use property data with the target end-of-use property data. Determining if target end-of-use property data indicating a range of the target end-of-use property associated with the end product corresponds to the end-of-use property data may include determining if a value associated with the end-of-use property falls within the range of the target end-of- use property. Determining if target end-of-use property data indicating a range of the target end-of-use property associated with the end product corresponds to the end-of-use property data may include determining if the target end-of-use property indicated by the target end-of-use property data corresponds to the end-of-use property indicated by the end-of-use property data. In particular, determining if target end-of-use property data indicating a range of the target end-of-use property associated with the end product corresponds to the end-of-use property data may include determining if a value associated with the end-of-use property falls within the range of the target end-of-use property. Determining if the end-of-use property data corresponds to the target end-of-use property data may be performed by the system as described in the context of FIG. 3.
Chemical product data indicative of production conditions for producing the target chemical product is received based on the one or more chemical product identifier(s) in response to determining that the target end-of-use property data corresponds to the end-of-use property data 210. Chemical product data indicative of production conditions for producing the target chemical product may be received together with the target end-of-use property data. Hence, a request for receiving the target end-of-use property data and the chemical product data indicative of production conditions may be provided. Further, one or more chemical product data set(s) associated with the target end-of-use property data and the chemical product data indicative of production conditions may be received. In particular, two or more chemical product data set(s) may be received, in particular based on two or more aspect models. For example, the one or more aspect models may be suitable or used for generating one or more chemical product data set(s) associated with the target end-of-use property data and the second one or more aspect models may be suitable or used for generating one or more chemical product data set(s) associated with the chemical product data indicative of production conditions of the chemical product. The receiving of the chemical product data indicative of production conditions may be based on providing a request for receiving the chemical product data indicative of production conditions. The request for receiving the chemical product data indicative of production conditions may comprise authentication information, e.g. suitable for authenticating the request for receiving the chemical product data indicative of production conditions and/or authenticating the receiving of the chemical product data indicative of production conditions. Chemical product data may be received by a Processor as described in the context of FIG. 3.
In response to determining that the target end-of-use property data corresponds to the end-of-use property data, the chemical product data indicative of production conditions of the chemical product is provided 208. The chemical product data may be used for controlling the production of the chemical product in a chemical production facility. For this purpose, the chemical product data may be provided to a chemical production facility. In another embodiment, the chemical product data may be received and/or provided by a processor being part of a chemical production facility. Hence, the processor configured for receiving and/or providing the chemical product data may be a part of the chemical production facility. The chemical production facility may be a chemical plant and/or may include a chemical reactor. The chemical production facility may be controlled by adjusting physical parameters and/or chemical parameters associated with the chemical production facility. Physical parameter may specify a value of a physical property and/or may be suitable to adjust a physical parameter associated with the chemical production facility. Chemical parameter may specify a value of a chemical property and/or may be suitable to adjust a chemical parameter associated with the chemical production facility. The chemical production facility may correspond to the chemical production facility of FIG. 3. The determining if the end-of-use property data corresponds to the target end-of-use property data may be performed by the system as described in the context of FIG. 3.
In response to determining that the target end-of-use property data differs from the end-of-use property data, further chemical product data indicative of production conditions of a further chemical product may be gathered, wherein the end-of-use property data associated with the further chemical product corresponds to the target end- of-use property data. This allows to adapt chemical products and their properties based on end-of use property data. For example, it may turn out that a quality parameter of the chemical product prior to a purification step in the production process of the chemical product may already correspond to a target quality parameter associated with a target application. Hence, for producing the next batch of chemical product, the purification step may be eliminated from the production process to reduce resources such as electricity and solvents and save time to produce the chemical product suitable for the target application.
In an embodiment, the further chemical product was produced prior to the chemical product and/or the target chemical product. A further end product may be based on the further chemical product. The further chemical product may be different from the chemical product and/or the target chemical product. Hence, determining that the target end-of-use property data differs from the end-of-use property data may trigger receiving of the further chemical product data. Analogous to the gathering and processing of the chemical product data, the further chemical product data may be gathered and/or processed. The further chemical product data may be different from the chemical product data.
In another embodiment, the chemical product data may be provided to a data consuming service, e.g. a customer or a toller. For example, a customer may desire to produce the chemical product. Hence, the customer may desire to receive the production conditions associated with the chemical product. Followingly, the customer may request for receiving the production conditions associated with the chemical product. The request for receiving the production conditions associated with the chemical product may include authentication information. Further, the request for receiving the production conditions associated with the chemical product may initiate the workflow described in the context of FIG. 2. Hence, the request for receiving the production conditions associated with the chemical product by a customer may initiate the gathering end-of-use property data indicative of an end-of-use property associated with a end product. The providing of the chemical product data may be performed by the system as described in the context of FIG. 3. FIG. 3 illustrates an embodiment of a system for producing a chemical product and/or a system for determining production conditions of a chemical product 306. The system 306 comprises one or more processors 302 and one or more memories 304. The one or more processors 302 and the one or more memories 304 may be part of a computing node. The computing node may be configured to perform centralized computing, decentralized computing and/or distributed computing.
In centralized computing, the computing nodes, also referred to as peripheral computing node, may be connected to one central computing system (or server). In another example, the peripheral computing nodes may be attached to the central computing node via e.g. a terminal server (not shown). The majority of functions may be carried out by, or obtained from the central computing node (also called remote centralized location). One peripheral computing node has been expanded to provide an overview of the components present in the peripheral computing node. The central computing node may comprise the same components as described in relation to the peripheral computing node. Each computing node may include at least one hardware processor 302 and memory 304.
The computing nodes may include multiple structures often referred to as an executable component, executable instructions, computer-executable instructions or instructions. For instance, memory 304 of the computing nodes may be illustrated as including executable component. Executable component or any equivalent thereof may be the name for a structure that is well understood to one of ordinary skill in the art in the field of computing as being a structure that can be software, hardware, or a combination thereof or which can be implemented in software, hardware, or a combination. For instance, when implemented in software, one of ordinary skill in the art would understand that the structure of an executable component includes software objects, routines, methods, and so forth, that is executed on the computing nodes, whether such an executable component exists in the heap of a computing node, or whether the executable component exists on computer-readable storage media. In such a case, one of ordinary skill in the art will recognize that the structure of the executable component exists on a computer-readable medium such that, when interpreted by one or more processors 302 of a computing node (e.g., by a processor 302 thread), the computing node is caused to perform a function. Such a structure may be computer-readable directly by the processors 302 (as is the case if the executable component were binary). Alternatively, the structure may be structured to be interpretable and/or compiled (whether in a single stage or in multiple stages) so as to generate such binary that is directly interpretable by the processors 302. Such an understanding of example structures of an executable component is well within the understanding of one of ordinary skill in the art of computing. Examples of executable components implemented in hardware include hardcoded or hard-wired logic gates, that are implemented exclusively or near-exclusively in hardware, such as within a field- programmable gate array (FPGA), an application-specific integrated circuit (ASIC), or any other specialized circuit. In this description, the word component, agent, manager, service, engine, module, virtual machine or the like are used as synonymous with executable component. The processor 302 of each computing node may direct the operation of each computing node in response to having executed computer-executable instructions that constitute an executable component. For example, such computer-executable instructions may be embodied on one or more computer-readable media that form a computer program product. The computer-executable instructions may be stored in the memory 304 of each computing node. Computer-executable instructions comprise, for example, instructions and data which, when executed at a processor 302, cause a general-purpose computing node, special purpose computing node, or special purpose processing device to perform a certain function or group of functions. Alternatively, or in addition, the computer-executable instructions may configure the computing node to perform a certain function or group of functions. The computer executable instructions may be, for example, binaries or even instructions that undergo some translation (such as compilation) before direct execution by the processors 302, such as intermediate format instructions such as assembly language, or even source code.
Each computing node may contain communication channels that allow each computing node to communicate with the central computing node, for example, a network enabling the transport of electronic data between computing nodes and/or modules and/or other electronic devices. When information is transferred or provided over a network or another communications connection (either hardwired, wireless, or a combination of hardwired or wireless) to a computing node, the computing node properly views the connection as a transmission medium. Transmission media can include a network and/or data links which can be used to carry desired program code means in the form of computer-executable instructions or data structures and which can be accessed by a general-purpose or special-purpose computing nodes. Combinations of the above may also be included within the scope of computer- readable media.
The computing node(s) may further comprise a user Interface system for use in interfacing with a user. The user interface system may include output mechanisms as well as input mechanisms. The principles described herein are not limited to the precise output mechanisms or input mechanisms as such will depend on the nature of the device. However, output mechanisms might include, for instance, displays, speakers, tactile output, holograms and so forth. Examples of input mechanisms might include, for instance, microphones, touchscreens, holograms, cameras, keyboards, mouse or other pointer input, sensors of any type, and so forth.
In contrast to the centralized computing environment, the computing nodes of the decentralized computing environment are not connected to a central computing node and are thus not under control of a central computing node. Instead, resources, both hardware and software, may be allocated to each individual computing node (local or remote computing system) and data may be distributed among various computing nodes to perform the tasks. Thus, in a decentral system environment, program modules may be located in both local and remote Memory storage devices. One computing node has been expanded to provide an overview of the components present in the computing node. In this example, the computing node comprises the same components as described in relation to centralized computing. In this example, the distributed cloud computing environment may contain the following computing resources: mobile device(s), applications, databases, data storage and server(s). The cloud computing environment may be deployed as public cloud, private cloud or hybrid cloud. A private cloud may be owned by an organization and only the members of the organization with proper access can use the private cloud, rendering the data in the private cloud at least confidential. In contrast, data stored in a public cloud 126 may be open to anyone over the internet. The hybrid cloud may be a combination of both private and public clouds, and may allow to keep some of the data confidential while other data may be publicly available.
The system 306 may be implemented in a chemical production facility 308 and/or in a control system of a chemical production facility 308. The control system of the chemical production facility 308 may be suitable for providing control signals to working devices within the chemical production facility 308.
In another embodiment, the system may be communicatively connected with the chemical production facility 308. In particular, the system and/or components of the system including the memory 304 and the processor 302 may be connected to the chemical production facility 308 via a wired and/or wireless connection such as one of ethernet, USB, LAN, WLAN and the like, wireless communication using, for example, WLAN, Wi-Fi, cellular, and/or Bluetooth.
FIG. 4 illustrates an embodiment of a system for producing a chemical product and/or a system for determining production conditions of a chemical product 406. The system may be included into in an operating system of a chemical production comprising one or more Chemical production facilities 308. The system may comprise a data source layer 420 comprising one or more data sources 422, 424, 426. The one or more data sources may be databases. The data source may be a data lake comprising target end-of-use property data or chemical product data from a plurality of data sources. In this example, the system contains three data sources. However, system may also comprise less or more data sources.
The system may further comprise a service layer 418, this layer generally being optional. The service layer 418 may be configured to gather data associated with chemical products from the data source layer 420. The service layer 418 may be configured to gather data according to predefined selection criteria. The service layer 418 may be configured to apply one or more semantic models on the gathered data to generate a uniform data collection. The service layer 418 may be configured to provide the uniform data collection to a data streaming platform included in the service layer. The streaming platform may include a platform that is deployed across a number of hosts, clusters, data centers, and/or other collections of computing resources. The streaming platform may include one or more client processes that generate records of activity and publish the record to one or more event streams. For instance, when a certain type of activity occurs in the data source layer 420, for example provision of a new uniform data collection, production of a new batch of chemical product, collection of new data associated with produced chemical product, etc., the one or more client processes generate a record of the activity and publish said record to one or more event streams. The data streaming platform then propagates the record to one or more components subscribing to the same event streams(s). The data propagated to one or more components may be stored in a database present within the service layer. The data streaming platform thus allows activity occurring in multiple data sources of the data source layer 420 to be captured and transmitted in a unified, scalable manner.
The system may further comprise a consumer layer 408. The consumer layer 408 may be configured to gather data from the data source layer 420. The consumer layer 408 may be configured to consume data from the service layer 418, for example from the database of the service layer 418 comprising the data stored by consumer components of the data streaming platform of service layer 418. The consumer layer 408 may include computing system 406, aspect model database 412, decentral ID generator 414 and digital twin storage 416. The consumer layer 408 may be configured to generate the digital twins of chemical products from the data gathered from data source layer 420 or data gathered from service layer 418. The computing system 406 may be or may refer to the system as described within the context of FIG. 3. The aspect model database 412 may store one or more aspect models. The decentral ID generator 414 may be configured for generating one or more decentral identifier(s). The digital twin storage 416 may store one or more digital twins.
The system may further comprise a connector layer 410. The connector layer 410 may be configured to provide the digital twin or to gather the end-of-use property data. For example, the end-of-use property data may be collected by a waste processing unit. The connector layer 410 may receive the end-of-use property data via the connector layer 410. Hence, the connector layer 410 may be configured for connecting to a connector layer of a different entity such as the waste processing unit.
FIG. 5 illustrates an example embodiment of a decentral network environment. The decentral network environment may include a decentral participant network 530. The decentral participant network 530 may include one or more decentral network participants 502 to 514. The decentral network participants 502 to 514 may be part of a product ecosystem including chemical products. The product ecosystem may include production chains to produce an end product. The product ecosystem may include recycling chains to recycle at least part of an end product, preferably at the end-of-use stage. The product ecosystem may include a raw input material supplier 502, a chemical product producer 504, a chemical product consumer 506, an OEM 508, an end-product user 510, an EOL product collector 512, wherein EOL is an abbreviation for end-of-life, and a recycler 514. The decentral participant network 530 may be a chemical supply chain. The product ecosystem may allow to use materials resulting from recycling of end products to produce new products, such as chemical products. The product ecosystem may be associated with the production and/or recycling of physical products. The product may be a chemical product, an intermediate chemical product, a component, a component assembly, an end product, an end-of-life product or a recycled product.
The participant(s) of the decentral participant network 530 may be associated with the production of the product and/or recycling of the product. The decentral network participant 502 to 514 may refer to a manufacturer of physical products, such as input material supplier 502, chemical product producer 504, chemical product consumer 506, OEM 508, a user of physical goods, such as end product user 510, and/or a participant of a recycling chain associated with the physical product, such as EOL product collector 512 and recycler 514. The decentral network participant may be associated with a decentral participant identifier. The decentral participant identifier may uniquely identify the decentral network participant within the decentral participant network 530. The participant(s) of the decentral participant network 530 may be connected via physical material flow 536. The material flow 536 may correspond to the flow of product from one participant of the decentral participant network 530 to the downstream participant of the decentral participant network 530. The material flow 536 may refer to a continuous or a discontinuous flow of product. The flow of product may include any means of transportation suitable to transport the product from a participant to the downstream participant. The means of transportation may include pipes, containers, barrels, packages. The material flow 536 may be associated with raw materials used to produce the chemical product, such as virgin raw materials. The raw materials may be provided to the chemical product manufacturer for producing chemical product(s) and/or intermediate chemical product(s) (not shown).
At least part of the participants of the decentral participant network 530 may be associated with decentral participant network nodes 516 to 528. The decentral participant nodes 516 to 528 may be under control of the respective decentral participant associated with the respective decentral participant node. The decentral participant nodes 516 to 528 may form decentral network 534. The decentral network 534 may be a peer-to-peer communication network. The decentral network 534 may be configured to perform data transactions. The data flows 532 may be based on a transaction protocol including authentication and/or authorization mechanism(s). Based on the authentication and/or authorization mechanism(s) a peer-to-peer communication between decentral network nodes 516 to 528 associated with decentral network participants 502 to 514 may be established. The one or more authentication mechanism(s) may be associated with or linked to a decentral identifier. The one or more authentication mechanism(s) associated with the decentral identifier may be accessible by a decentral data providing network node and/or a decentral data consuming network node. The decentral configuration allows for more efficient use of computing resources and strengthens control by the data owners of the decentral network.
Data transactions between decentral network participant nodes may be based on a decentral identifier associated with respective product data to be accessed. The decentral identifier may be uniquely associated with the physical entity of the product and associated product data. The decentral identifier may uniquely identify the respective product within the decentral network. The decentral identifier may be associated with further decentral identifier(s), such as decentral identifier(s) of product(s) used to produce the product. This may allow to track the product(s) used to produce a product, such as a end product. The decentral identifier may be included in a digital access element associated with the product. The data flow 532 (e.g. transactions) between decentral network participant nodes may be directly or indirectly associated with the physical material flow 536 between the decentral network participants. For instance, data flow 532 may be directly associated with material flow 536 if data associated with an input material provided from the input material supplier 502 to the chemical product producer 504 is accessed by a decentral data consuming network node associated with said chemical product producer 504. For instance, data flow 532 may be indirectly associated with material flow 536 if data associated with a chemical product produced by chemical product producer 504 is accessed by a decentral data consuming network node associated with recycler 514.
The decentral participant nodes 516 to 528 may be decentral computing nodes. The decentral computing node may be any device or system that includes at least one physical and tangible processor, and a physical and tangible memory capable of having thereon computer-executable instructions that are executed by a processor. The memory may take any form and depends on the nature and form of the computing node.
At least part of the decentral participant nodes 516 to 528 may be decentral data providing network nodes. At least part of the participant nodes 516 to 528 may be decentral data consuming network nodes. A participant of the decentral participant network 530 may be associated with a decentral data providing network node and/or a decentral data consuming network node depending on whether data is provided to downstream participants and/or consumed from upstream participants. For instance, input material supplier 502 may be associated with a decentral data providing network node configured to provide input material data to a downstream participant (e.g. chemical product producer 504). In addition to or alternatively, chemical product producer 504 may be associated with a decentral data consuming network node configured to access data associated with a recycled input material produced by an upstream participant (e.g. recycler 514). The recycler, i.e., the end product processor, may identify the chemical product producer 504 from the end product, in particular one or more chemical product and/or decentral identifier(s). Consequently, the recycler may provide at least a part of the end product produced from the chemical product to the chemical product producer for gathering end-of-use property data. Alternatively, the recycler may collect the end-of-use property data and provide the data to the chemical product producer.
Hence, gathering the end-of-use property data may comprise retrieving the end-of-use property data, e.g. from the recycler and/or via a database e.g. owned by an end product processor.
The decentral network 534 may Ide further decentral network nodes. The further decentral network nodes may be decentral infrastructure service nodes (not shown in FIG. 5). The decentral infrastructure service nodes may not be associated with a participant of the product ecosystem. The decentral infrastructure service nodes may provide services for decentral participant nodes 516 to 528, such as verifying the identity of the decentral network participant nodes 516 to 528 prior to performing a data exchange. The decentral network participant nodes 516 to 528 may be associated with or include certificate(s), such as X.509 certificate(s).
The certificate(s) may be associated with decentral infrastructure service node(s) including e.g. a certificate issuing service and/or a dynamic provisioning service providing dynamic attribute tokens (e.g. OAuth Access Tokens). This way the decentral network participant nodes 516 to 528 possess a unique identifier embedded in a X.509 certificate that identifies the respective decentral network participant node 516 to 528. The information required to verify the certificate may be provided via an authentication registry associated with the certificate issuing service and/or a dynamic provisioning service. For instance, in the IDSA Reference Architecture Model, Version 3.0 of April 2019, a decentral data providing network node associated with a data owner, a Certification Authority (CA), a Dynamic Attribute Provisioning Service (DAPS) and a decentral data consuming network node associated with a data consumer are used to verify the identity prior to performing a data exchange (not shown).
The present disclosure has been described in conjunction with preferred embodiments and examples as well. However, other variations can be understood and effected by those persons skilled in the art and practicing the claimed invention, from the studies of the drawings, this disclosure and the claims. Notably, in particular, the any steps presented can be performed in any order, i.e. the present invention is not limited to a specific order of these steps. Moreover, it is also not required that the different steps are performed at a certain place or at one node of a distributed system, i.e. each of the steps may be performed at different nodes using different equipment/data processing.
As used herein ..determining" also includes ..initiating or causing to determine", “generating" also includes ..initiating and/or causing to generate" and “providing” also includes “initiating or causing to determine, generate, select, send and/or receive”. “Initiating or causing to perform an action” includes any processing signal that triggers a computing node or device to perform the respective action.
In the claims as well as in the description the word “comprising” does not exclude other elements or steps. The indefinite article “a” or “an” and the definite article “the” does not exclude a plurality. In particular, indefinite article “a” or “an” may be replaced with “one or more” and the definite article “the” may be replaced with “the one or more”. A single element or other unit may fulfill the functions of several entities or items recited in the claims. The mere fact that certain measures are recited in the mutual different dependent claims does not indicate that a combination of these measures cannot be used in an advantageous implementation.
Any disclosure and embodiments described herein relate to the methods, the systems, devices, the computer program element lined out above and vice versa. Advantageously, the benefits provided by any of the embodiments and examples equally apply to all other embodiments and examples and vice versa.

Claims

CLAIMS What is claimed is:
1 . A computer-implemented method for retrieving chemical product production data indicative of production conditions for producing a target chemical product, the method comprising: gathering end-of-use property data indicative of an end-of-use property associated with an end product, wherein the end product is from a chemical product, gathering one or more chemical product identifier(s) associated with the chemical product, receiving target end-of-use property data indicating a range of a target end-of-use property associated with the end product based on the one or more chemical product identifier(s), matching the end-of-use property data to the target end-of-use property data, in particular by comparing the end-of-use property data with the target end-of-use property, in response to determining that the target end-of-use property data corresponds to the end-of-use property data, receiving chemical product production data indicative of production conditions for producing the chemical product based on the one or more chemical product identifier(s), and, providing the chemical product production data for producing the target chemical product.
2. The computer-implemented method of claim 1 , wherein gathering the end-of-use property data and/or the one or more chemical product identifier(s) is based on an end-of-use trigger.
3. The computer-implemented method of claim 2, wherein the end-of-use trigger is generated based on the end product reaching an end-of-use stage.
4. The computer-implemented method of any one of claims 1 to 3, wherein receiving the chemical product production data based on the one or more chemical product identifier(s) and/or receiving the target end-of- use property data based on the one or more chemical product identifier(s) is in response to providing a request for receiving the chemical product production data associated with the one or more chemical product identifier(s) and/or providing a request for receiving the target end-of-use property data associated with the one or more chemical product identifier(s).
5. The computer-implemented method of claim 4, wherein the request for receiving the chemical product production data and/or the request for receiving the target end-of-use property data is further associated with authentication information.
6. The computer-implemented method of any one of claims 1 to 5, wherein the chemical product is associated with a digital twin of the chemical product and the chemical product production data is associated with the digital twin of the chemical product.
7. The computer-implemented method of any one of claims 6, wherein the end product is associated with a digital twin of the end product and wherein the digital twin of the chemical product is associated with the digital twin of the end product.
8. The computer-implemented method of any one of claims 1 to 7, wherein the one or more chemical product identifier(s) are gathered based on one or more end product identifier(s) associated with the end product.
9. The computer-implemented method of any one of claims 1 to 8, wherein the one or more chemical product identifier(s) and/or the one or more end product identifier(s) comprise(s) one or more decentral identifier(s).
10. The computer-implemented method of any one of claims 1 to 9, wherein the one or more chemical product identifier(s) are uniquely associated with the chemical product and/or the one or more end product identifier(s) are uniquely associated with the end product.
1 1 . The computer-implemented method of any one of claims 1 to 10, wherein the end-of-use property data is gathered by a sensor and/or wherein the end-of-use property data is obtained from spectroscopic data.
12. The computer-implemented method of any one of claims 1 to 11 , wherein the one or more chemical product identifier(s) may be gathered by a sensor and/or an ID reader.
13. A system for retrieving chemical product production data indicative of production conditions for producing a target chemical product, the system comprising: a Processor; and a Memory storing instructions that, when executed by the Processor, configure the system to: gather end-of-use property data indicative of an end-of-use property associated with an end product, wherein the end product is based on the chemical product, gather one or more chemical product identifier(s) associated with the chemical product, receiving target end-of-use property data indicating a range of a target end-of-use property associated with the end product based on the one or more chemical product identifier(s), determining if the end-of-use property data corresponds to the target end-of-use property data by comparing the end-of-use property data with the target end-of-use property, in response to determining that the target end-of-use property data corresponds to the end-of- use property data, receiving chemical product production data indicative of production conditions for producing the chemical product based on the one or more chemical product identifier(s), in response to determining that the target end-of-use property data corresponds to the end-of- use property data, provide the chemical product production data for producing the target chemical product, in particular to a chemical production line.
14. A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a computer, cause the computer to perform the method according to any one of claims 1 to 12 or are configured to be carried out by any one of the systems according as claimed in claim 13.
15. Use of chemical product production data provided according to any one of claims 1 to 14 for producing a target chemical product.
EP24731359.6A 2023-06-19 2024-06-10 Feedbackloop Pending EP4728454A1 (en)

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US8799113B2 (en) * 2001-12-28 2014-08-05 Binforma Group Limited Liability Company Quality management by validating a bill of materials in event-based product manufacturing
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