DE102010020149A1 - System for automatic checking of defective components at motor car, has processor-supported data access unit for indicating guidance for virtual repair and/or change of defective components of machine or plant in short time interval - Google Patents

Abstract

The system (1) has an acquisition station (4) comprising a data base (2) with data. A data file is stored in the data base using expert knowledge gained through continuous algorithm, and indicates shed operation for recovery of damages at a machine or a plant, and comprises technical guidance for virtual repair and/or change of defective components of the machine or plant. A processor-supported data access unit (3) automatically indicates the technical guidance for the virtual repair and/or change of the defective components of the machine or the plant in a short time interval. An independent claim is also included for a method for automatic checking of defective components at a machine or plant.

Description

The present invention deals with a system for the automatic inspection of defective components on machines and equipment, e.g. As the review 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 carry out the proper and professional repair.

Such systems are from the DE 10 2005 019 434 A1 known in the art. This document is a computer-aided system, in which a computer program for the analysis and evaluation of document-based data is implemented to remove. The system according to the invention is able to solve a technical problem with the help of stored expert knowledge theoretically in the virtual space by these virtual repaired due to expert and actually detected defective components of a plant or machine, creating a file whose content is also the automatic selection of suitable specialist workshops.

A disadvantage of this system, it is felt that under certain circumstances manufacturer-related workshops that are able to appropriate technical measures, such. B. repairs, and in which the potential savings would be only slightly lower, but by their selection a high acceptance or legal certainty of the system is given would not be taken into account by the conventional procedure.

Furthermore, it is necessary due to recent case law or new manufacturer specifications so far to make a corresponding differentiation that brand-linked repair shops to give preference. Since other reasons might require special differentiation, it is necessary to make certain dependencies parameterizable.

On the other hand, in the production of expert opinions, printed versions are used which are prepared in paper or electronic text form. The further processing or evaluation of the data of the expert opinions takes place by means of subsequent analysis and calculation procedures. The documents are designed for purely visual perception. They have only a slight structure in terms of the general definition of data structuring in the IT area. Depending on the scope and content of the case assessed by an opinion, very different values and expressions may appear at different positions in the text. Also known classic text recognition programs (OCR programs) with fixed or limited learning field masks for form recognition are unsuitable due to the different structuring of the appraisals to recognize the data. For the reasons mentioned, the data of the expert reports are manually re-recorded for the purpose of costing and / or checking.

Furthermore, from the DE 101 28 244 A1 in the prior art, a telecommunication and data processing system for the claims processing a system known. This document discloses a database with geocoded partner data, a memory for their locations, a memory for distances, and a program for determining partners from the geocoded partner data of the database. With this invention, an improved telecommunications and data processing system has been provided with a computer program and method for claims handling. The invention enables the integration of the insurance in the value chain of the damage repair and the increase of the customer satisfaction. In this solution, after entering the customer site from the geocoded database, the computer program creates a list of partners within a given perimeter around the customer site from which the customer can select a partner. After the partner has been selected by the customer, a mediation order for the damage repair is 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 loss event or of a claim amount is performed manually by a call center agent. 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.

It is therefore an object of the present invention to provide a system which, according to a predetermined method, specifies at least one practical solution to a technical problem to be worked with by technical means.

This object is achieved with the characterizing features of the main claims.

According to the invention, the system is provided with processor-based means for the automatic determination and retrieval of a suitable specialist company 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 input the starting parameter via the data acquisition unit in a relatively short time interval (.DELTA.t) as a result creates a technical instruction manual that solves a given technical problem. The system also serves the automatic preparation, analysis and evaluation of the collected data, which are stored in a database and u. a. Provide expert knowledge by checking and comparing the data entered through the data entry station for plausibility, so that, on the basis of expert knowledge, defective components of a car are virtually repaired and, as a result, a file is created containing a selection of specialist plants with facilities to remedy the technical problem contains.

This processor-based system according to the invention operates according to a method which is characterized in that in the data access unit at least one algorithm (Alg1) is automatically run through with a multiplicity of predetermined individual positions of the components and related data, resulting in a relatively short time interval (Δt). At least one way is shown to solve a given problem with technical means.

It is advantageous that a cost specification is used as a directional parameter.

Furthermore, it is advantageous that the distance of the plant to the claimant does not exceed a predetermined size.

It is also advantageous that 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.

It is also advantageous that the relatively short time interval (Δt), 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.

It is advantageous that the processor-based system is equipped with a rule that automatically checks, inter alia, the arrangement of components to be repaired and their need for repair.

Furthermore, it is advantageous that 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.

It is also advantageous that the evaluation and correction of the recorded data automatically carries out a plausibility check with regard to errors, inaccuracies, inaccuracies and check-relevant features by means of a stored expert knowledge.

• – Entstehende Kosten;
• – Entfernung zum Anspruchsteller; und
• – Qualitätsmerkmale wie Verbandszugehörigkeit und/oder Zertifizierung

erfolgt.A further advantage is the fact that the automatic selection of specialist companies for the correction of claims by means of a calculation method based on the stored real wage and material costs of the available workshops within a given radius of the claimant after the optimization of the criteria:

• - costs incurred;
• - distance to the claimant; and
• - Quality features such as association affiliation and / or certification

he follows.

It is also advantageous that the automatic verification of the plausibility of the calculated damage calculations, the tests: arrangement of components on the vehicle and the conclusive need for their repair, the completeness of spare parts or measures, the absence of necessary work, errors in scope or in the Execution of painting work, faulty equipment features, need for dismantling and assembly work or other work (eg wheel alignment, bench-top measures), assessment of repairability by comparing the vehicle value to the repair costs and assessing the repair time includes.

Another advantage is that after the evaluation and an error identification of the costing data from third party reports to insurance claims by the stored expert knowledge processing plausibility process automatically the programmatically predetermined correction of the costing data of the third party reports is performed.

Other features essential to the invention can be found in the dependent claims.

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 actually performing a virtual technical repair using stored expert knowledge. As a by-product of this technical virtual repair then a suitable specialist company is determined, which is within the scope of the applicant.

With the technical means used, ie the expert's stored specialist knowledge (expert knowledge), the necessary repair, which is recognized on the basis of the plausibility check, is carried out theoretically and virtually, according to the result of which a suitable specialized company is proposed that is capable of doing so Repairs should also be carried out professionally and properly.

In order to automatically detect which components are to be repaired at all, it is necessary to have stored solid expert knowledge in the memory of a computer and to be able to carry this out automatically during the theoretical repair without manual interventions with the mental activity of the person working on it.

With the use of such a processor-based system in which a method is implemented, the manual capture of the data from documents, in particular expert data, can be completely replaced by an automated procedure. The previous manual sample analyzes can thus be replaced with a simultaneous reduction in the cost of a much more extensive machine review of the reviewer volume. In order to automatically have a usable result without manual intervention, it is necessary to go through at least one given algorithm of technical content, where algorithm is to be understood here as a calculation rule for solving a problem, if a machine equivalent to this calculation rule exists for each input that has a solution stops.

• 1. Das Verfahren muss in einem endlichen Text eindeutig beschreibbar sein (Finitheit).
• 2. Jeder Schritt des Verfahrens muss tatsächlich technisch ausführbar sein.
• 3. Das Verfahren darf zu jedem Zeitpunkt nur endlich viel Speicherplatz benötigen (dynamische Finitheit).
• 4. Das Verfahren darf nur endlich viele Schritte benötigen.

From this definition, the following properties of an algorithm can be derived:

• 1. The procedure must be clearly describable in a finite text (finiteness).
• 2. Each step of the procedure must actually be technically feasible.
• 3. The procedure may only need a finite amount of memory at any given time (dynamic fineness).
• 4. The process may only take at last many steps.

Moreover, the term algorithm used herein can often be limited in practical terms to the characteristics that it must give the same result under the same conditions (determination).

In the following, the invention will be explained in more detail with reference to drawings. It shows

1 : a schematic block diagram of the system ( 1 );

2 a partial extract of the individual positions with associated numbering for an outer and an inner body portion of a motor vehicle;

3 : a section of a result of the data analysis as a guide to technical action.

The 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). To the data collection station 5 is at least one data input device, such. B. a scanner 7 , a keyboard 8 or a plurality of switching elements 9, via which data can be supplied to the system connected. In the at least one database 2, a plurality of non-volatile data is stored, including data that includes the entire expert knowledge regarding a machine or system. These data include in particular the repair properties of individual components, at least a portion of a specific machine or plant. The database is over a bus 6, 6 'with the processor-based data access unit 3 connected. In the data access unit are rules and at least one algorithm after which data is retrieved from the database and processed.

Reference to an embodiment of the invention will be explained in more detail, wherein at least one predetermined algorithm is run through. In the first algorithm (Alg1), the listed repair costs are divided into all individual items, eg. As in labor, transport costs, Lackierlohn, paint material, spare parts costs, spare parts surcharge and additional costs, in connection with the components to be repaired and stored in the database 2 expert knowledge. Based on this, all positions of the listed repair costs depending on the zip code or geo-coordinate of the claimant residence against all specialist companies with their billing parameters of the database, which are in a variable radius to the geo-ordinate of the claimant residence (eg 50 km), compared and calculated. This calculation now yields as many concrete alternative cost calculations as the number of workshops found in the variable radius.

Then 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 aims to find a variably determinable minimum number (eg 3 pieces) of alternative cost calculations, which meet predeterminable professional qualifications (high quality standard) and under a further stored variable radius to the geo-ordinate of the claimant residence (reasonable distance z. B. 15 km) are located. For this to succeed, the algorithm is allowed to sacrifice a variably determinable percentage amount of the optimum savings volume.

If it is not possible to achieve this minimum number of alternative cost calculations, the calculation is repeated and initially based on a larger reasonable range radius (eg 20 km), whereby the corresponding gradation can, of course, be determined variably.

If it is not possible again to achieve the desired minimum number of alternative cost calculations, the calculation is repeated with the increased radius and a higher percentage savings are accepted (eg 30%). Of course, the increase amount to be taken in is also variably predeterminable.

If it is again not possible to achieve the desired minimum number of alternative cost calculations, the increase in the range radius and the energy saving loss are repeated alternately until the desired minimum number of alternative cost calculations has been reached.

However, 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 repair shops are listed in the minimum number of selected cost calculations.

• 1. Der weitere Einsparverlust durch eine weitere Kostenberechnung darf einen voreingestellten variablen prozentualen Betrag (z. B. 2%) zum Höchstbetrag aller Kostenberechnungen der Mindestanzahl nicht überschreiten. Dieser Höchstbetrag erweitert sich durch jede weiter gefundene Kostenberechnung. Der Suchvorgang kann solange weiter geführt werden, bis der voreingestellte Erhöhungsbetrag (hier: 2%) zur entsprechenden Höchstgrenze überschritten wird oder der vorbelegte Einsparverlust des ersten Rechenschrittes ausgeschöpft ist.
• 2. Jede über die gewünschte Mindestanzahl weiter berücksichtigte Kostenberechnung erfüllt den Qualitätsstandart und weist eine geringere Entfernung zum Wohnort des Anspruchstellers auf, als die Entfernung der weitest entfernten Kostenberechnung der Mindestanzahl. (Z. B. Die gewünschte Mindestanzahl sind 3 Kostenberechnungen. Die entsprechenden Entfernungen sind 8 km, 9 km und 14 km. Es wird eine weitere Kostenberechnung mit einer Entfernung von 10 km gefunden. Diese tritt nunmehr an die dritte Stelle der gewünschten Mindestanzahl. Somit würden vier Reparaturbetriebe genannt. Die für eine weitere heranzuziehende Kostenberechnung gültige maximale Entfernung entspricht nun in diesem Beispiel 10 km, da diese Kostenberechnung an die dritte Stelle gerückt ist und die beispielhafte Mindestanzahl hier drei Kostenberechnungen waren.

As a special rule, if the desired minimum number of alternative cost calculations is achieved in the first billing step, ie without radius extension and increase in the pre-occupied savings, it will be searched for further cost calculations until the pre-occupied savings are fully used, if the following conditions are met.

• 1. The additional savings from further costing may not exceed a preset variable percentage amount (eg 2%) of the maximum amount of all cost calculations of 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 to the corresponding upper limit or the pre-occupied savings of the first calculation step is exhausted.
• 2. Any calculation of costs taken into account over the desired minimum number shall meet the quality standard and be closer to the place of residence of the claimant than the distance of the farthest cost calculation of the minimum number. (For example, the minimum required number is 3 cost calculations, the corresponding distances being 8 km, 9 km and 14 km, another cost calculation is found at a distance of 10 km, which now comes in third of the desired minimum number The maximum distance valid for a further cost calculation now corresponds to 10 km in this example, since this cost calculation has moved to the third place and the exemplary minimum number here were three cost calculations.

Any further permissible cost calculation would now be less than 10 km. In order to finally have useful results available for decision, is then or parallel to a go through the second algorithm (Alg2) for the calculation. This has basically the same basic function as the first algorithm (Alg1). However, this second algorithm (Alg2) does not try to find a minimum number of repair shops, but its search ends when a specialist garage of the brand of the vehicle to be assessed has been found. The permissible search radius is variably adjustable. (Both by general manual specification or different radii on postal codes / if necessary, also different radii for brand-linked and non-branded workshops, the radius of the brand-linked workshop may not be set lower). All non-branded specialist workshops, which are below the price level of the brand-linked, can optionally be listed in the result.

• a) Alg1
• b) Alg2

There are now two cost results.

• a) Alg1
• b) Alg2

• 1. Liegen die Kosten von Alg2 nicht über Alg1, so erfolgt eine Ermittlung gemäß → Alg2.
• 2. Überschreitet der Einsparverlust zum Ergebnis von Alg1 durch Einsatz von Alg2 nicht einen variabel einstellbaren prozentualen Wert, so erfolgt eine Ermittlung gemäß → Alg2.
• 3. Liegt ein ggf. hinterlegter kritischer Fahrzeugtyp vor, so erfolgt eine Ermittlung gemäß → Alg2.
• 4. Liegt das Fahrzeugalter unter einer variabel einstellbaren Grenze (Angabe in Monaten im Vergleich zur Erstzulassung), so erfolgt eine Ermittlung gemäß → Alg2.
• 5. Wohnt der Anspruchsteller im Bereich eines vordefinierten Postleitzahlenkreises, so erfolgt eine Ermittlung gemäß → Alg2
• 6. Ist ein Rechtsanwalt eingeschaltet, so erfolgt eine Ermittlung gemäß → Alg2
• 7. Gehört der Anspruchsteller zu einem streitbaren Personenkreis, so erfolgt eine Ermittlung gemäß → Alg2
• 8. Werden Aluminiumteile gerichtet oder gewechselt, welche einer besonderen fachlichen Voraussetzung des Herstellers bedürfen, so erfolgt eine Ermittlung gemäß → Alg1A/Alg2A.
• 9. Liegen besondere Reparaturvorgaben des Herstellers vor, welche von nicht markengebundenen Werkstätten nicht erfüllt werden können, z. B. Spezialwerkzeuge oder Spezialgeräte erforderlich, so erfolgt eine Ermittlung gemäß → Alg2R.
• 10. Liegen herstellerbezogene Reparatur- bzw. Fügetechniken vor, welche sich auf bestimmte Bauteile am Fahrzeug beziehen, erfolgt eine Ermittlung gemäß Alg2R, insofern vom System über eine Bauteilerkennung ein entsprechender Bedarf besteht. Erfüllen freie Karosseriebetriebe die entsprechenden herstellerbezogenen Reparaturvorgaben, werden diese in einer Datenbank speziell gekennzeichnet und somit ebenfalls in den Alg2R übernommen.

The selection of whether Alg1 or Alg2 is used, now depends on certain variable-definable rules. For example:

• 1. If the costs of Alg2 are not higher than Alg1, a determination is made according to → Alg2.
• 2. If the saving loss to the result of Alg1 does not exceed a variably adjustable percentage value by using Alg2, a determination is made according to → Alg2.
• 3. If there is a possibly stored critical vehicle type, a determination is made according to → Alg2.
• 4. If the vehicle age is below a variably adjustable limit (stated in months compared to the first registration), a determination is made according to → Alg2.
• 5. If the claimant lives in the area of a predefined postal code area, a determination is made according to → Alg2
• 6. If a lawyer is involved, a determination is made according to → Alg2
• 7. If the claimant belongs to a litigious group of persons, a determination is made in accordance with → Alg2
• 8. If aluminum parts are to be straightened or changed, which require a special technical requirement of the manufacturer, a determination is made according to → Alg1A / Alg2A.
• 9. If there are special repair instructions from the manufacturer, which can not be met by non-branded garages, eg. For example, if special tools or special equipment are required, a determination is made according to → Alg2R.
• 10. If there are manufacturer-specific repair or joining techniques that relate to specific components on the vehicle, a determination in accordance with Alg2R will be made insofar as the system has a corresponding need for component identification. If free bodyshops meet the relevant manufacturer-specific repair specifications, they are specially marked in a database and thus also transferred to the Alg2R.

Rules 2 to 9 can be individually activated or deactivated.

In the case of damage caused by a hull, a separate algorithm Alg3WB can be used in a workshop binding contract of the claimant.

This has in principle priority over the Alg1 and Alg2.

This automatically calculates the settlement parameters negotiated between workshop and insurance, which are stored in a separate database.

The mentioned repair costs are of course the upper limit. If the results of Alg1, Alg2, Alg1A, Alg2A or Alg2R are higher, they will not be used.
Alg1 = Algorithm 1
Alg2 = Algorithm 2
Alg1A = 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)

In addition to the algorithm calculations, a recognition of the originally mentioned repair operation and a check of the listed billing parameters in comparison to the stored data in the database 2. Furthermore, it is checked whether this operation ever performs bodywork and painting independently or may perform or in this usually commissioned a non-brand qualified specialist company as a subcontractor. The gained knowledge or deviations between recognized and stored data are added to the final result.

The automated plausibility check of the recorded data integrates the expert knowledge of a highly qualified assessor into the virtual repair of the damaged components. For example, reviews that include the expertise of an experienced, highly-qualified surveyor can be carried out by users who do not have their own experts. For users with their own Experts can use the automatic pre-examination to concentrate the cost-intensive work of an assessor on the reports identified as defective by the procedure, which must be subject to further review. In the example application of the method in a system according to the invention for the processing of a claim due to a motor vehicle accident, the eligible repairers are automatically determined after reporting the claim by the claimant. The automatic determination is made on the basis of the stored real wage and material costing rates of the repair shops, 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 the manual determination of the hitherto notional settlement amounts required a relatively high expenditure of time.

In the analysis procedure for the underlying report, fixed phrases, terms or other fixed markings of the appraiser created by the calculation software are used and thus the required information is identified by comparison with the stored data. The technical basis of the document analysis is based on commands for decomposition, search, length measurement and the comparison of strings. For this, basic program instructions for string processing (string in the sense of strings or text) are used. The necessary commands can be found in the respective programming language. For example:
Left (): Returns the left part of a text;
Right (): Returns the right part of a text;
Mid (): Returns a middle part of a text;
Instr (): checks a text for the presence of a specific string from the left;
Instr Rev (): checks a text for the presence of a specific string from the right;
LEN (): Returns the length of a text; etc., just to name a few commands.

For the comparison of strings, so-called "regular expressions" (regular / valid expressions) are used to improve fault tolerance. Within the framework of a defined language pattern, these are freely definable rules for a text comparison process. Depending on the nature of these rules, the text comparison leads to a success or failure and thus to a specific analysis result. The "Regular Expressions" are in the NET framework, z. For example, directly supported by Microsoft, as well as documented by the manufacturer's manufacturer's guide and other publications, for example: "Regular Expressions", Author: Toni Stubblebine, Publisher O'Reilly Media ,

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.

After the analysis, 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.

The 2 shows a partial extract of the individual positions with associated numbering for an outer and an inner body portion of a motor vehicle. Every single part of the body area has a numeric designation. For example, 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 abbreviations are letters (eg E = renewal, I = repair, P = testing, N = removal / installation, L = surface painting, LI = refinish, LE = re-painting, V = measuring, etc.). For example, the marking E0471 means the renewal of the bonnet.

The preprogrammed expert knowledge is included with the storage of the vehicle components, along with their spatial allocation. The aim of the review is to determine the location of the damaged components on the vehicle and thus to obtain an assessment of the plausibility of the specified damage pattern. These are the Data on the position and the relationship of the components to each other in a component schedule (hereinafter called BLS) filed. This scheme is a two-dimensional matrix. On the horizontal axis (revolving axis), the components are shown around the body (starting from the front left corner, rotating in a clockwise direction). In the vertical axis (depth axis), the components are arranged corresponding to the installation depth (above the outer, below the more internally installed parts).

The data on the position and the relationship of the components to each other are stored in a component schedule (hereafter referred to as BLS). A simplified scheme (excerpt) is shown in the "overview spatial allocation". The storage of the vehicle components via a stored for each component guide number and redundant via a respective associated component designation, which in turn confirms an exact number or assigns these. As a rule, the routing number always defines exactly one specific component regardless of the vehicle type. Depending on the vehicle manufacturer, the component designation may differ. For example, for a VW Golf IV, the code number 283 STOSSF V PRIMED = front bumper. The spatial assignment of the individual components is carried out according to their position on the vehicle and their corresponding design conditions by linking the corresponding guide numbers.

A causality of damaged components is given if they are due to the construction side by side or in succession or with each other.

For example, the reference numbers given are: 1781, 1981, 3481, 2583 Here is a causality given that 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) and the rear bumper (2583) is again located adjacent the rear left fender (3481).

From this it can be seen that there is probably a slight surface stripe damage in the rear left area starting from the rear left door on the rear left fender to the rear bumper, since here adjacent components are affected, but components are in turn behind or under the same are not listed.

Technically, the components with the guide number and a reference to the component designation, as well as with their position address and information on the immediately adjacent components are stored as schema data records in the relational database 2. During an examination, the algorithm traverses 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) Prüfung auf Bauteile größerer Einbautiefen, ohne die entsprechenden Bauteile geringerer Einbautiefen auf der gleichen oder unmittelbar benachbarten Umlaufachse.
• b) Das Hauptschadenbild wird ermittelt. Dazu werden die zusammenhängend beschädigten Bauteile gruppiert und geprüft, ob neben der zahlenmäßig größten Gruppe weitere Gruppen oder Einzelbeschädigungen enthalten sind, die keine Verbindung zur Hauptgruppe besitzen.

After the inventory is searched for problematic damage constellations.

• a) testing for components of greater installation depths, without the corresponding components of smaller installation depths on the same or immediately adjacent axis of rotation.
• b) The main damage image is determined. For this purpose, the coherently damaged components are grouped together and checked whether in addition to the largest group in number further groups or individual damages are included, which have no connection to the main group.

For each schema, additional criteria are defined that act as filters in the application and control the scope of the BLS. These include, for example, statements about the vehicles to which the BLS applies. The technical parameter for this is the type code (in this example 0652) that each of the supported calculation systems carries to specify a vehicle. By defining the allowable type code quantity in the criteria fields, 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.

The 3 shows a part of a result of the data analysis as a guide to technical action. Here, the individual technical measures to be carried out to remedy the damage incurred are listed in detail with the corresponding working position and number. In addition, it is prescribed which technical actions or measures are to be carried out.

The 3 shows by way of example the result of the automatic plausibility check as a guide to technical action. The result includes the evaluation of the calculation with regard to the calculation data, the hourly rates, the coating system, the type of coating, the coating material and other calculatory parameters. Furthermore, the primary information about the repair path is included and the positions deviating from the virtual repair path are marked. These can serve as recommendations for a wide-ranging technical examination.

With the invention, a processor-based system 1 is presented, which performs an analysis and evaluation of document-based data automatically. The inventive system 1 is able to solve a technical problem using 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 specialist 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.

QUOTES INCLUDE IN THE DESCRIPTION

This list of the documents listed by the applicant has been generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.

Cited patent literature

• DE 102005019434 A1 [0002]
• DE 10128244 A1 [0006]

Cited non-patent literature

• "Regular Expressions", Author: Toni Stubblebine, Publisher O'Reilly Media [0055]

Claims (19)

System ( 1 ) with processor-based devices ( 2 . 3 . 4 ) for automatically processing, analyzing and evaluating recorded data with at least one data acquisition station ( 4 ) with at least one database ( 2 ) with data from expert knowledge and at least one processor-based data access unit ( 3 ), the recorded data being checked for plausibility with the data from expert knowledge, in order to automatically determine the determination and discovery of a suitable specialist company for the replacement and / or repair of defective components, characterized in that at least one algorithm ( Alg1 - Algn) and in the at least one database ( 2 ), a file containing at least one specialized company for repairing damage to machinery and equipment and containing at least one technical instruction for the virtual repair and / or replacement of defective components of a plant or machine and the processor-based data access unit ( 3 ) automatically after entering the straightening parameters via the data acquisition station ( 4 ) in a short time interval (Δt) the technical instructions for virtual repair and / or replacement of defective components of a plant or machine indicates to solve the given technical problem. System according to claim 1, characterized in that the system ( 1 ) at least one separate database ( 2 ' ) containing data containing expert knowledge for the automatic determination and discovery of a suitable specialist company for the replacement and / or repair of defective components of a machine or plant. A system according to claim 1, characterized by an implemented program which inter alia checks the arrangement of repaired components and their need for repair. System according to claim 1, characterized in that the program stored in the memory of a computer automatically recognizes and records the data contained in the documents on the basis of the defined formulations, terms and / or terms of the applied methods by comparing the data. System according to claim 1, characterized in that the evaluation and correction of the acquired data with regard to errors, inaccuracies, inaccuracies and test-relevant features by means of an automatically preprocessed, expert knowledge processing plausibility procedure is performed. A system according to claim 1, characterized by a program which automatically selects specialist dealers for repairing claims by means of a calculation method based on the stored real wage and material costs of the specialist companies available within a predetermined radius of the claimant after optimization of the criteria a. Costs incurred; b. Distance to the claimant; and c. Quality characteristics (association membership, certification) performs. System according to claim 1, characterized in that the system ( 1 ) performs, with at least one predetermined algorithm, an automatic check of the underlying opinion for plausibility according to the following criteria: - arrangement of components on the vehicle and the conclusive need to repair them; - completeness of spare parts or measures; - lack of necessary work; - errors in the scope or execution of painting work; - faulty features; - need for dismantling and assembly work or other work (eg wheel alignment, benchmark measures); - Assessment of the repairability by comparing the vehicle value to the repair costs; - Assessment of the repair time. Process with processor-based devices ( 2 . 3 . 4 ) for automatic preparation, analysis and evaluation of collected data in at least one database ( 2 ) with stored data containing expert knowledge for the automatic determination and discovery of a suitable specialist company for the replacement and / or repair of defective components of a machine or installation, characterized in that in the data access unit ( 3 ) at least one algorithm (Alg1) is traversed with a plurality of predetermined parameters (individual positions), as a result in a short time interval (At) at least one possibility is shown that solves a given problem with technical means in a given specialist. A method according to claim 8, characterized in that the removal of the plant to the claimant does not exceed a predetermined size. A method according to claim 8, characterized in that the allowable search radius is variable adjustable. A method according to claim 8, characterized in that at least the costs for solving the technical problem are used as directional parameters for selecting the appropriate algorithm. A method according to claim 8, characterized in that the relatively short time interval (Δt), in which a technical solution is shown, between 1 and 2 seconds. A method according to claim 8, characterized in that a savings volume is calculated. A method according to claim 8, characterized in that at least one cost calculation is performed, which sacrifices a predetermined percentage of the savings volume at a predetermined range radius. A method according to claim 8, characterized in that with adjustable parameters automatically at least one calculation is created, which does not exceed a predetermined difference to the savings volume as a result. A method according to claim 8, characterized in that at least one second algorithm (Alg2) for calculating a (value) is performed, wherein only a specialist company of a predetermined brand of the plant or machine concerned is visited. Method according to claim 8, characterized in that after the evaluation and an error identification of the calculation data of third-party reports on insurance claims by the preprogrammed, expert knowledge processing plausibility automatically the programmatically predetermined correction of the calculation data of the third-party reports is performed. Method according to one of the preceding claims characterized in that a) the recognition and collection of data contained in expert reports produced by the calculation software is automatically carried out on the basis of the defined wording, terms and / or terms of the methods used; b) the evaluation and correction of the data thus acquired with respect to errors, inaccuracies, inaccuracies and test-relevant characteristics is carried out by means of a preprogrammed expert knowledge processing plausibility process; and c) when selecting the specialist workshops the criteria - costs incurred - distance to the claimant and - quality characteristics (association membership, certification) be optimized. Method according to one of the preceding claims, characterized in that the automatic method for checking the plausibility of the expert reports the tests - Arrangement of components on the vehicle and the conclusive need for their repair - Completeness of spare parts or measures - lack of necessary work - Error in scope or execution of painting work - Faulty features - Need for dismantling and assembly work or other work (eg wheel alignment, benchmark measures) - Assessment of the repairability by comparing the vehicle value to the repair costs and - Assessment of the repair time includes.

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