EP2591453A1 - Système de contrôle automatique des pièces défectueuses sur des machines et installations - Google Patents

Système de contrôle automatique des pièces défectueuses sur des machines et installations

Info

Publication number
EP2591453A1
EP2591453A1 EP10722294.5A EP10722294A EP2591453A1 EP 2591453 A1 EP2591453 A1 EP 2591453A1 EP 10722294 A EP10722294 A EP 10722294A EP 2591453 A1 EP2591453 A1 EP 2591453A1
Authority
EP
European Patent Office
Prior art keywords
data
repair
automatically
calculation
components
Prior art date
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.)
Withdrawn
Application number
EP10722294.5A
Other languages
German (de)
English (en)
Inventor
Frank Hoffmann
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of EP2591453A1 publication Critical patent/EP2591453A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR 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
    • G06Q10/10Office automation; Time management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR 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
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"

Definitions

  • the present invention deals with a system for automatic of defective components of machinery and equipment, eg the inspection of objectively determined damage to motor vehicles, in particular the determination and determination of a virtual repair of damaged components and the determination of a specialist company, which is able to perform the proper and professional repair.
  • the invention enables the integration of the insurance in the value chain of the damage repair and the increase of the customer satisfaction.
  • the computer program after entering the customer's location from the geocoded database, provides a list of partners in a given perimeter around the Customer site created from which the customer can select a partner. After the selection of the partner by the customer becomes a mediation order for the
  • Damage repair sent by the insurance company to the selected partner On the placement order the partner company prepares a cost estimate. This, preferably electronic quotation, is created by taking a digital photograph of the damage and forecasting the amount of damage with a cost forecasting program. The order will be executed after approval by the insurance company. According to the cost estimate, the billing takes place. Only a larger deviation from the cost estimate, a further check with a plausibility check is performed. Such a check of the plausibility of a damage event or of a claim amount is carried out manually by a call center employee. After recording the facts relating to the damage, the latter checks its plausibility by means of local databases or information services on the Internet.
  • the disadvantage here is the required manual, non-technical effort and the random verification of the plausibility in a deviation of the cost of the cost estimate over a predetermined tolerance limit addition.
  • Disadvantages are also the long processing times, the required examination by clerks and the associated costs and the low transparency by the damage assessment on fictitious costs, which does not determine which really necessary repairs to individual components of a vehicle must be performed in order not to technical function of the component or the whole of the technical operation of the motor vehicle to endanger.
  • the system is provided with processor-based devices for automatically determining and locating a suitable specialized plant or plant with special technical devices for exchanging and / or repairing defective parts with a data acquisition station, a database and at least one processor-based data access unit, characterized in that the process-based
  • Data access unit automatically after entering the start parameters via the
  • the system also serves the automatic preparation, analysis and
  • This inventive processor-based system operates according to a method, which is characterized in that in the data access unit automatically at least one algorithm (Alg 1) is traversed with a plurality of predetermined individual positions of the components and related data, as a result in a relatively short time interval (At ) at least one way to solve a given problem with technical means.
  • the distance of the plant to the claimant does not exceed a predetermined size.
  • the permissible search radius is variably adjustable.
  • a further advantage is that at least the costs for solving the technical problem are used as directional parameters for selecting the appropriate algorithm.
  • the relatively short time interval (At) in which a technical solution is pointed out, is in the range of a few seconds, depending on the time required for the required OCR process.
  • processor-based system is equipped with a rule that, inter alia, the arrangement of components to be repaired and their
  • the program stored in the memory of a computer automatically performs the detection and detection of the data contained in the documents on the basis of the defined formulations, terms and / or terms of the methods used.
  • Vehicle value to the repair costs and the assessment of the repair period includes.
  • the real technical problem is that it objectively recognizes or finds out what needs to be necessarily repaired, as in an accident-damaged vehicle. It is only possible to find this out by using
  • algorithm is here to be understood as a calculation rule for solving a problem, if a machine equivalent to this calculation rule exists, which stops for each input having a solution.
  • the procedure may only need a finite amount of memory at any given time (dynamic fineness).
  • Fig. 1 a schematic block diagram of the system (1)
  • Fig. 2 a partial extract of the individual positions with associated
  • FIG. 1 shows a schematic block diagram of the system 1 with at least one database 2, a processor-based data access unit 3 and at least one data acquisition station 5 (data processing).
  • data acquisition station 5 To the data acquisition station 5 is at least one data input device, such as e.g. a scanner 7, a keyboard 8 or a plurality of switching elements 9, via which data can be supplied to the system, connected.
  • a data input device such as e.g. a scanner 7, a keyboard 8 or a plurality of switching elements 9, via which data can be supplied to the system, connected.
  • a plurality of non-volatile data is stored, i.a. Data containing the entire expert knowledge regarding a machine or plant. These data include in particular the repair properties of individual components, at least a portion of a specific machine or plant.
  • the database is connected to the processor-based data access unit 3 via a bus 6, 6 '.
  • the data access unit stores rules and at least one algorithm for retrieving and processing data from the database.
  • an optimal savings volume is calculated. This is the difference between the originally stated repair costs and the most favorable workshop result. Thereafter, the algorithm seeks to find a variably determinable minimum number (eg 3 pieces) of alternative cost calculations, which meet predeterminable professional qualifications (high quality standard) and are under a further stored variable radius to the geo-coordinate of the claimant residence (reasonable distance, for example, 15 km) , For this to succeed, the algorithm is allowed to sacrifice a variably determinable percentage amount of the optimum savings volume.
  • a variably determinable minimum number eg 3 pieces
  • alternative cost calculations which meet predeterminable professional qualifications (high quality standard) and are under a further stored variable radius to the geo-coordinate of the claimant residence (reasonable distance, for example, 15 km)
  • the calculation is repeated and initially based on a larger reasonable range radius (for example 20 km), whereby the corresponding gradation can, of course, be determined variably.
  • the calculation is repeated with the increased radius and a higher percentage savings are accepted (for example 30%).
  • a higher percentage savings for example 30%.
  • the increase amount to be taken in is also variably predeterminable.
  • the algorithm-based calculation ends unsuccessfully if the desired minimum number of alternative cost calculations is not present before the optimal savings volume is completely consumed. If at some point in the calculation cycle the desired minimum number of alternative cost calculations is reached, a billing letter is generated based on the most expensive alternative cost calculation. The names of all
  • the further savings by a further cost calculation may be a
  • preset variable percentage amount e.g., 2%) to the maximum of all cost calculations the minimum number. This maximum amount is extended by each further found cost calculation. The search process can be continued until the preset increase amount (here: 2%) is exceeded at the corresponding maximum limit or the pre-occupied savings of the first calculation step is exhausted.
  • Algl or Alg2 The choice of whether Algl or Alg2 is used, now depends on certain variable-definable rules. For example:
  • Rules 2 to 9 can be individually activated or deactivated.
  • Alg2 Algorithm 2
  • AlglA Algorithm 1 (with Aluminum Workstation and Approval)
  • Alg2A Algorithm 2 (with Aluminum Workstation and Approval)
  • Alg2R Algorithm 2 (with manufacturer's repair approval)
  • Alg3WB algorithm 3 (with workshop binding of the claimant)
  • Plant according to the invention for the processing of a claim due to a motor vehicle accident are automatically determined by the claimant the eligible repair shops after reporting the claim.
  • the automatic determination takes place based on the stored real wage and material cost rates of the repairers, which are within a predetermined radius of the claimant.
  • the selection process used will select repairers from the repair shops available to ensure the best balance between cost savings, distance from the claimant and quality of association affiliation and certification. This will determine a realistic determination of the amount to be refunded.
  • the insurer thus has an exact final costing of the underlying expert opinion.
  • the associated disclosure of all initial values and calculation steps a high degree of transparency of the method is achieved, which is based on repairing objectively detected defective components of a vehicle with technical means of a repair shop and to determine the costs necessary for the repair. Due to the automatic processing of the damage cases a cost reduction is achieved in equal measure, since with the manual determination of the hitherto notional settlement amounts a relatively high
  • the analysis procedure for the underlying opinion shall adopt fixed wording, terms or other fixed markings of the
  • the technical basis of the document analysis is based on commands for decomposition, search, length measurement and the comparison of strings.
  • basic program instructions for string processing string in the sense of strings or text
  • the necessary commands can be found in the respective programming language.
  • the information or data of all reports that can be generated by the software or otherwise can thus be automatically recognized by the system according to the invention for the preparation, analysis and evaluation of documents.
  • the information and / or the data of the reports are automatically examined for errors, inaccuracies, inaccuracies and test-relevant characteristics. This is done using a plausibility procedure, which processes program-related test rules and heuristics. They are based on the expertise and specialist knowledge in the field of vehicle evaluation, as well as on the reviewer. The procedure is used to develop information that virtually identifies the deficiencies identified and identifiable in the report and their repair.
  • Fig. 2 shows a partial extract of the individual positions with associated
  • the hood carries the marking 471 which, in the context of the stored expert knowledge in the database 2, serves for recognition for each machine, plant or vehicle brand.
  • the numerical identification is supplemented by the repair method that is provided for the respective component.
  • the marking E0471 means the renewal of the bonnet.
  • the preprogrammed expert knowledge becomes with the storage of the
  • BLS component schedule
  • BLS component schedule
  • a causality of damaged components is given if they are due to the construction side by side or in succession or with each other.
  • the reference numbers given are: 1781, 1981, 3481, 2583
  • the rear left door (1781) is below or behind the trim strip of the rear left door (1981)
  • the rear left fender (3481 ) is located adjacent to the rear left door (1781)
  • the rear bumper (2583) is again located adjacent the rear left fender (3481).
  • the algorithm goes through all components of the BLS and searches for their correspondence in the calculation on the basis of the guide numbers and, if applicable, the component designations. A hit is considered damage to the component.
  • a BLS can apply to one or more vehicles.
  • the majority of the BLS are valid for larger vehicle groups. As a result, the maintenance effort is of a manageable size.
  • the test process may be limited in processing to the BLS applicable to that vehicle on the basis of the type of vehicle known at all times.
  • FIG. 3 shows a section of a result of the data analysis as
  • the result includes the evaluation of the
  • a processor-based system 1 which performs an analysis and evaluation of document-based data automatically.
  • Inventive system 1 is able to solve a technical problem with the help of stored expert knowledge theoretically in virtual space by virtue of objectively detected defective components of a system they are virtually repaired and a resulting file is created, the content on the one hand a guide to technical Measures and, on the other hand, the automatic selection of suitable ones Specialized companies.
  • the invention will be explained with reference to a motor vehicle as an exemplary embodiment.
  • the present invention is not only applicable and limited to the embodiment set out above, but applicable to all technical equipment and facilities that must be subjected to a restoration.

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  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Marketing (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

La présente invention concerne un système assisté par processeur (1) qui réalise automatiquement une analyse et une exploitation de données fondées sur des documents. Le système selon l'invention (1) est en mesure de résoudre théoriquement dans un espace virtuel un problème technique à l'aide de connaissances d'experts enregistrées. Sur la base de composants défectueux d'une installation, constatés objectivement, ceux-ci sont réparés virtuellement et sur cette base un fichier est produit dont le contenu est d'une part une indication de mesures techniques et d'autre part la sélection automatique d'entreprises spécialisées. Un mode de réalisation de l'invention donné à titre d'exemple concerne un véhicule automobile.
EP10722294.5A 2010-05-10 2010-05-10 Système de contrôle automatique des pièces défectueuses sur des machines et installations Withdrawn EP2591453A1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/DE2010/000519 WO2011141008A1 (fr) 2010-05-10 2010-05-10 Système de contrôle automatique des pièces défectueuses sur des machines et installations

Publications (1)

Publication Number Publication Date
EP2591453A1 true EP2591453A1 (fr) 2013-05-15

Family

ID=43413903

Family Applications (1)

Application Number Title Priority Date Filing Date
EP10722294.5A Withdrawn EP2591453A1 (fr) 2010-05-10 2010-05-10 Système de contrôle automatique des pièces défectueuses sur des machines et installations

Country Status (2)

Country Link
EP (1) EP2591453A1 (fr)
WO (1) WO2011141008A1 (fr)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109101753B (zh) * 2018-08-31 2023-06-27 周建全 一种改善机械设备检修系统复杂性的方法
DE102019201557A1 (de) * 2019-02-07 2020-08-13 Zf Friedrichshafen Ag Verfahren und Vorrichtung zum automatisierten Identifizieren eines Produktfehlers eines Produkts und/oder zum automatisierten Identifizieren einer Produktfehlerursache des Produktfehlers

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See references of WO2011141008A1 *

Also Published As

Publication number Publication date
WO2011141008A1 (fr) 2011-11-17

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