Classifications

• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06Q—INFORMATION 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
  • G06Q10/00—Administration; Management
  • G06Q10/30—Administration of product recycling or disposal
• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06Q—INFORMATION 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
  • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
  • G06Q50/04—Manufacturing
• • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
  • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
  • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
  • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
  • Y02P90/30—Computing systems specially adapted for manufacturing
• • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
  • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
  • Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
  • Y02W90/00—Enabling technologies or technologies with a potential or indirect contribution to greenhouse gas [GHG] emissions mitigation

Definitions

• the subject of this invention is a method of segregation of industrial articles.
• the invention applies to identification and segregation in pipelined inflow of products, including such in which successively inflowing products can be normally subordinated to the same or different categories of industrial articles.
• the invention also applies to segregation of products previously gathered in a group by means of another previously applied criterion.
• the invention combines technological operations on a set of industrial articles with technological operations performed by computer-assisted equipment.
• US5979240 demonstrated a method and equipment to detect the type of materials of objects constituting waste, and these concern recycling.
• This method generates a sound wave of certain energy, which directs itself to an object under examination, and then analyses a resonant wave against a model sound wave emitted through resonance that was provoked as a model by a known waste material. Obtained results were compared in a sound wave analysis unit, and on that basis the object under examination was subordinated to a proper material group.
• a specific data value for a selected attribute has only one representation. This individual representation is associated with another one concerning a different attribute by means of unique assignment.
• a set of assignments identifies all data values for all attributes, which means that identical information is not reproduced, and only the distance among individual data values is indicated. In fact, such a solution may accelerate mathematical processing of a set of data, however, nothing beyond that.
• Another objective is through an applied method to improve its results also owing to the use of self-learning mode based on the main assumptions of the method according to the invention, It also aims at acquiring a possibility of automatic occurrence of an anticipatory step for the previously selected rules in the method according to the invention, as well as even a possibility of automatic determination of rules based on previous assignments.
• the method of identification and segregation of industrial articles according to the invention consists in analysing them as a set of objects one by one, directly as a whole, and at the same time or sequentially by means of their digital representation formed thanks to a converter, preferably digital one, which combines the attributes of a given object with that object, and saves as a set of events in the memory unit.
• the set of events of other objects from the set of objects is saved in the memory unit, and the sets of events are compared using computer-assisted methods, and then the objects under examination are grouped as a result of the comparison.
• the invention is characterised by that at least one attribute of at least the first examined object is adopted as a representative attribute for a given group of objects that will be examined following the first object for conformity and appearance of the attribute in all objects of a given group. Then, the percentage of conformity with the adopted representative attribute is determined for every new examined object, and the examined object is located in the hierarchy of the set of objects the more farther on, the lesser its conformity with the representative attribute.
• All sets of events of individual objects, and at the same time or sequentially all grouped objects in sets of objects, and at the same time or sequentially all rules of belonging to individual sets of objects, are preferably saved in the memory unit, ideally in the mass memory unit.
• Representative attributes, and at the same time or sequentially, representative objects are preferably saved in the memory unit, ideally in the mass memory unit, ideally by combining them with sets of events of individual objects, and at the same time or sequentially with all grouped objects in sets of objects, and at the same time or sequentially with all rules of belonging to individual sets of objects.
• Consecutive object that's subject to conformity assessment is selected or rejected automatically from the memory unit, preferably from a mass memory unit, in which sets of events for this consecutive object were previously saved, and as the closest ones to representative attributes, and at the same time or sequentially representative objects, they are preferably called up based on the principles of probability.
• Set of events is preferably defined, and at the same time or sequentially preferably introduced for the first object from the set of objects.
• Attributes are preferably variable, and preferably change depending on objects in the set of objects.
• Attribute value can be a binary expression or an alphanumeric expression or a numeric expression, including a flat-point one.
• Attribute value can be a complex expression, preferably as an alphanumeric or numeric vector of partial values. Attribute can be the colour, and at the same time or sequentially the size, and at the same time or sequentially the shape, and at the same time or sequentially the material property, and at the same time or sequentially the object name - customary or professional one, and at the same time or sequentially the product category of object name - customary or professional one.
• Attributes are preferably assigned weights in the form of multiplier, and only after taking it into account a comparative assessment of object convergence is performed.
• Set of events can be formed automatically thanks to an analogue-to-digital converter connected with an analyser of spectrum, preferably visible light, and at the same time or sequentially set of objects can be formed by a pipelined inflow of products performed automatically or semi-automatically, also on operator's suggestion.
• An advantage of the solution according to the invention is high measure of reliability of acquired division of articles into groups of objects based not only on frequency of co- appearance of objects in an given set (cluster), but also on the strength of this co- appearance expressed in probability, i.e. conformity with the attributes of the majority of objects.
• Exemplary method of identification and segregation of industrial articles consists in analysing them as a set of objects one by one by means of their digital representation formed thanks to a digital converter, which combines the attributes of a given object with that object, and saves as a set of events in the memory unit.
• the set of events of other objects from the set of objects is saved in the memory unit, and the sets of events are compared using computer-assisted methods by means of a software comparator, and then the objects under examination are grouped as a result of the comparison.
• Set of objects is the following: silver watch with rectangular dial and brown strap, set of four off-road winter car tyres, grey SUV car with bike carrier, silver aluminium wheel rims 18", oval wooden bead necklace.
• the first item from the set of objects to be examined is the silver watch with rectangular dial.
• the first attribute determined for it is the dial shape. It was acknowledged that rectangle is representative as a feature of shape. Another attribute was recognised automatically, i.e. colour, and it was ascribed two values: silver (for the dial) and brown (for the strap).
• Second object from the pipelined stream of objects incoming for analysis was analysed, as previously using a digital image converter, which object appeared as the second in the sequence. It is a set of four off-road winter car tyres. Attributes were recognised in the form of shape: round, colour: black, and a category of object expressed by a group of features: spare part, rubber, set in motion. Attributes by type are successively identical, like for the first object, therefore after analysing the second object it can be assumed that the objects are located in one set of objects, however the value ascribed to individual attributes is totally different. Hence, the convergence of values for the attributes expressed in percentage terms equals zero, except convergence of black colour of the tyres against the brown watch strap, where this value is slightly higher and equals 20%.
• attributes were recognised and assigned in the form of shape composed of its body and independent external elements in the form of four wheels and carrier, attribute of colour: grey, and attribute of category of object: means of transport.
• convergence of colour was acquired at 70% with the colour of the watch dial, convergence of the colour of external elements at 100% with the colour of the set of winter tyres, and convergence of the shape of external elements (installed tyres) at 100% with the shape of the set of four off-road winter car tyres, and convergence of category of object in the form of a SUV car as a means of transport was assessed at 80% against component attribute in the form of the set of four tyres as the "set in motion" object.
• the SUV car would be closer to the set of four winter tyres, and because of that it would make up with them a two-element set of objects different from the one-element set of object in the form of the watch with strap.
• the representative object for the indicated two-element set will be the set of four tyres as consistent with both the SUV car and the watch, and the representative object for the one-element set will still be the watch with strap. All the objects in all the sets have their attributes and their values entered in the set of events, in which are also located elements in the form of percentage convergences of attributes and their values with one another.
• the wheel rims have become a representative object for the three- element set, because their convergence level reached the highest values in cross comparisons with the three-element set objects, and because the wheel rims are the closest in their convergence with the watch which stays in the one-element set, and still is the representative object for the one-element set.
• oval wooden bead necklace In analysing the last, fifth object, oval wooden bead necklace, as previously were automatically recognised the following: shape: oval, colour: brown, and category of object: jewellery. Convergence with the watch was assessed at 100% for the attribute of category of object: jewellery, and at 90% for attribute "colour” by comparing the necklace's brown colour with partial brown colour of the watch taking into account its strap.
• the necklace is oval, which gives convergence at 75% with the elements of the three-element set, i.e. set of tyres, SUV car and wheel rims 18".
• the representative element was changed in the present two-element to which belongs the watch and the necklace.
• the necklace stayed the representative element as more convergent with the representative element of the three-element set, i.e. wheel rims, and its distance (convergence) in respect of the set of tyres is also very high, but much lesser is the convergence with the car.
• the sequence in the sets of objects is the following:
• Second set wheel rims, set of tyres, SUV car. It must be assumed that the first element of each set of objects is the representative element for a given set of objects, however, the last one is the least convergent with it. The representative elements of all sets of objects are the most convergent, with one another, elements of various sets of objects, despite differences related to the general character of sets and differences of attributes saved in the sets of events.
• At least one attribute of at least the first examined object is selected as the representative attribute for a given group of objects which as consecutive after the first object will be examined for conformity and appearance of attribute in all the objects of a given group. Then, the percentage of conformity with the adopted representative attribute is determined for every new examined object, and the examined object is located in the hierarchy of the set of objects the more farther on, the lesser its conformity with the representative attribute, and the set of events also has a value assigned to attribute, which value becomes a fundamental element of comparisons.
• the sets of events of representative objects are considered as rules of belonging to individual sets of objects. All sets of events of individual objects, and at the same time all grouped objects in sets of objects, and at the same time all rules of belonging to individual sets of objects, are saved in the memory unit, ideally in the mass memory unit, in this case a computer unit. Taking this into account, it should be noted that objects can be displayed on monitor screen according to the order of their appearance in the stream of objects incoming for analysis.
• Representative attributes, and at the same time representative objects, are saved in the mass memory unit by combining them with sets of events of individual objects, and at the same time with all grouped objects in sets of objects, and at the same time with all rules of belonging to individual sets of objects.
• Consecutive object that's subject to conformity assessment is selected automatically from the mass memory unit, in which sets of events for this consecutive object were previously saved, and as the closest ones to representative attributes, and at the same time representative objects, they are called up based on the principles of probability.
• the first set of objects is a set of round brown earrings
• the second set of objects will be assigned a two-wheeled bicycle with silver wheel rims and black tyres as a transport vehicle which can be mounted on the roof of the SUV car. Then, both the bicycle and the set of earrings will become representative objects, thus dynamically changing the records in the mass memory.
• Set of events is defined, and at the same time introduced, at least for the first object from the set of objects, and in the example of performance operations were carried out for all analysed objects.
• Attributes are variable, and their value changes depending on objects in the set of objects. Attribute value is saved in the set of events and becomes a fundamental element of comparisons. Attribute value is an alphanumeric expression.
• Attribute value is a complex expression as an alphanumeric or numeric vector of partial values.
• Attributes in this example of performance were assigned each time a weight equalling one, in the form of multiplier, and only after talcing them into account a comparative assessment of object convergence is performed. Attribute can be the colour, and at the same time the size, and at the same time the shape, and at the same time the material property, and at the same time the product category of object name, customaiy one. Set of events is formed automatically thanks to a digital converter connected with a spectrum analyser of visible light, and at the same time it can be formed by a pipelined inflow of products performed automatically

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Citations (5)

• 2015
  • 2015-12-21 PL PL415405A patent/PL415405A1/pl unknown
  • 2015-12-29 WO PCT/PL2015/000212 patent/WO2017111631A1/en active Application Filing

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