Method for generating a list of components of a sunlight shielding system

Abstract

The present invention relates to a method for generating a list of the components of a sunlight shielding system, said list comprising the type of sunlight shield(s) and / or the relative components for the implementation and control of such shields. The method (1) comprises the steps of: a) providing a machine learning generative artificial intelligence algorithm based on a conversational model, said artificial intelligence algorithm being trained by means of public and / or non-public sources, said artificial intelligence algorithm being trained to generate a list of the final components necessary to make the system based on a project; b) providing by means of input on a user device (10) one or more initial statements related to the project for the installation of the sunlight shielding system; c) processing the statements provided input by means of said artificial intelligence algorithm so as to generate the final list of components representative of the correspondence between the statements provided and the training of the artificial intelligence algorithm, said artificial intelligence algorithm being resident in a processing unit (20) in signal communication with the user device (10), d) generating by means of said artificial intelligence algorithm the final list of components representative of the correspondence between the statements provided and the training of the artificial intelligence algorithm.

Description

[0001] Title: “Method for generating a list of components of a sunlight shielding system”

[0002] DESCRIPTION

[0003] Technical Field

[0004] This invention relates to a method for generating a list of the components necessary for the installation of a sunlight shielding system.

[0005] In particular, the present invention refers to the generation of a list of the components of a sunlight shielding system by means of an artificial intelligence algorithm which is able to recommend the type of sunlight shields and / or the relative electrical / electronic / mechanical devices for the implementation and control of such shields according to the specifications of a system project proposed by a user.

[0006] State of the art

[0007] Methods are known in the state of the art which provide for drawing up a list of the electrical, electronic and / or mechanical components as well as a list of the types of shields based on a project of an installation for the implementation of one or more sunlight shields.

[0008] These methods provide for a comparison by talking in person or over the phone or in writing between the user interested in installing and purchasing the sunlight shielding system and a sales manager of a company that sells, designs and installs such a sunlight shielding system.

[0009] In this way, on the basis of the knowledge the sales manager will acquire and on the project the user wishes, the decision is made on the type, quantity and configuration of the components necessary for the installation of the system itself.

[0010] Before being able to conclude the negotiations with the list of the components being drawn up, the known methods include the need for the sales manager to forward a request, directed to the technical office of the same company, for technical assistance in the design and configuration phase of the sunlight shielding system with the relative components.

[0011] Subsequently, the technical department is expected to process the request, providing a list of the components to be used in the precise request and how to connect them.

[0012] Once the order towards the distribution chain / supply chain has been processed, for any problems or updates regarding technical issues that might arise, the user, the electrician, the installer, the door- and windowmaker or the glassmaker must contact the technical assistance by phone or email.

[0013] The technical assistance, in turn, will forward the request to the technical department, which will dedicate the time it takes to provide a complete and exhaustive response in order to integrate or correct the list of components.

[0014] In addition, in case of unavailability of the qualified person to respond, or if the request for support is made in a language not supported by the internal staff of the technical department, the resolution may be delayed by days.

[0015] Problems of the prior art

[0016] The known methods for drawing up the aforementioned list of components require several subjects being involved comprising staff from the sales department, the technical department and technical assistance as well as the customer him- / herself or the person who represents him / her.

[0017] These people must interact with one another several times as well as with the end user also with the staff who takes care of mounting the sunlight shielding which comprises for example the electrician, the installer, the door- and windowmaker or the glassmaker.

[0018] For the aforementioned reasons, the known methods are time-consuming and labour-intensive, making the generation of the list of components for a project not very scalable with a view to increasing volumes, the frequency of use of motorised shields and the increasing complexity of the automation needs.

[0019] In addition, the known methods are based on the knowledge of the single individual of the company who proposes the sale, design and installation of sunlight shields. This knowledge is necessarily limited, as each employee in the various offices specialises in a portion of what the company can propose. Therefore, the limited knowledge of the staff causes an aggravation of the timescales by having to address several people within the company in order to respond to the requests.

[0020] Furthermore, the known methods are subject to possible errors when drawing up such a list due to the ineffective knowledge distribution. This lack of experience and knowledge can cause several iterations between the technical department, the sales representative, the end user and the other people, increasing the possibility of error and lengthening, as mentioned above, the timing.

[0021] Object of the invention

[0022] Object of the invention in question is to realize a method for the generation of a list of components for sunlight shielding systems including sunlight shields and / or relative components for the implementation of such sunlight shields that is able to overcome the drawbacks of the prior art mentioned above.

[0023] In particular, it is an object of the present invention to provide a method for the automated generation of a list of components of the type of the shields usable as well as the relative electrical / electronic / mechanical components necessary to implement the shielding so as to minimize the number of interactions and iterations with the user interested in installing the system and therefore the time necessary for the relative generation of the list.

[0024] The technical task mentioned and the objects specified are substantially achieved by a method for generating a list of the components necessary to implement a sunlight shielding system, said list comprising the different types of sunlight shields that can be used and / or the relative components, whether mechanical, electrical and / or electronic, functional to implement said shielding, the method comprising the technical characteristics set out in one or more of the appended claims.

[0025] Advantages of the invention

[0026] According to the present invention, the claimed method is based on a machine learning generative artificial intelligence algorithm based on a conversational model that allows to reduce the times necessary for the generation of lists of the components necessary for the implementation of the sunlight shielding system.

[0027] Thanks to the present invention, the claimed method allows to provide the user with updated and complete knowledge regardless of the subjects involved, minimizing the errors and the number of interactions that the user must have to obtain the requested list.

[0028] By virtue of the present invention, the claimed method guarantees a saving in terms of hours / person throughout the generation process of the list of components as it is scalable. Thanks to the present invention, the claimed method guarantees the confidentiality of the components listed in the list as it provides for associating a unique code to the list itself, said code preferably being unintelligible by the user except with the aid of appropriate devices (e.g. Qrcode readers, barcode readers, etc.). The list thus generated is reserved and non-disclosable to other subjects / competitors.

[0029] Finally, thanks to the present invention, the claimed method allows to manage a large number of different languages than the mother tongue or notes of the sales person or of the staff of the technical office.

[0030] BRIEF DESCRIPTION OF FIGURES

[0031] Further characteristics and advantages of the present invention will become more apparent from the description of a preferred but not exclusive embodiment of a method for generating a list of the components necessary to implement a sunlight shielding system including the type of sunlight shields and / or relative electrical / electronic / mechanical devices for the implementation of such shielding as illustrated in the appended drawings:

[0032] - Figure 1 shows a block diagram of the method for generating a list of components according to an embodiment of the present invention;

[0033] - Figure 2 schematically shows a system for implementing the method for generating a list of components according to an embodiment of the present invention.

[0034] DETAILED DESCRIPTION

[0035] Even if not explicitly highlighted, the individual features described with reference to the specific embodiments shall be understood as accessory to and / or interchangeable with other features described with reference to other embodiments. The present invention relates to a method for generating a list of the components necessary to implement a sunlight shielding system.

[0036] In particular, the list generated by the method comprises the type of shields and / or relative devices necessary for the implementation of such shields.

[0037] The sunlight shields are preferably, but not exclusively, fabric blinds, Venetian blinds, whether manually operated or motorized, arranged in double glazing and / or arranged on a facade of a building and / or arranged inside a building near a window to be shielded, as well as windows with dynamic behaviour, etc.

[0038] The devices necessary for the implementation are embodied by those electrical, electronic and / or mechanical components that one allows to move / control the shielding. For example, the electrical devices can be electric motors, switches, power cables, signal cables, the electronic devices can be command and control units, position sensors, twilight sensors, mechanical devices can be ropes, knobs, etc.

[0039] In addition, the list generated may also comprise the number of recommended shields, number of motors, number of sensors, length of cables, etc.

[0040] Specifically, the method of the present invention provides for the use of a machine learning generative artificial intelligence algorithm based on a conversational model trained by means of at least the technical data sheets of the products and the entire corporate know-how for the generation of the aforementioned list.

[0041] In particular, the technical data sheets and know-how are formalised in HTLM-type web pages, text files and images.

[0042] These technical data sheets and know-how therefore represent the training sources of the artificial intelligence algorithm and these sources can be public and / or non-public (i.e. private, i.e. with conditional access by means of, for example, passwords or similar tools).

[0043] As mentioned above, the artificial intelligence algorithm can be continuously trained by means of the experience that the company continues to develop and acquire in the use of other additional lists generated as well as by the actual sales and installation of sunlight shielding systems.

[0044] It should be noted that the method of the present invention, through the use of the artificial intelligence algorithm, allows to automate the generation of the list of components as it is trained to extrapolate as necessary from the information provided on the project of the shielding system provided thanks to the relative technical training received and continuously updated.

[0045] This use of the trained artificial intelligence algorithm reduces the time required to obtain a list, automates the relative generation of the list by reducing the number of personnel required, exploits the entire constantly updated business knowledge and reduces or eliminates errors on the list.

[0046] It should be noted that the method of the present invention allows the interested user to interact with only the user device, described below, to achieve what is required, improving relative comfort and reducing response times.

[0047] The method of the present invention, also with reference to figure 2, is realized by means of a computer system 100.

[0048] Such a computer system 100 comprises a user device 10 with access to the web network, i.e. to the Internet.

[0049] Such a user device 10 may be a mobile device (tablet, smart phone, or the like), a personal computer, or a terminal. Such a user device 10 is known to the person skilled in the art and not further described.

[0050] The computer system 100 comprises a processing unit 20 configured to process the received data which is in signal communication with the user device 10.

[0051] Preferably, the artificial intelligence algorithm is resident in the data processing unit 20.

[0052] To this end, the processing unit 20 may comprise one or more processors 21 and relative servers 22 suitable for executing the artificial intelligence algorithm and configured to store the information related to the training of the algorithm as well as the algorithm itself.

[0053] It is noted that the processing unit 20 may be connected to the Internet and thus to the relative public web pages.

[0054] The computer system 100 may also comprise a training device / program 30 in signal communication with the data processing unit 20 and configured to train the algorithm by loading HTML pages, text files and images such as floor plans, photographs, etc.

[0055] This training device 30 is an information and instruction input device for training the artificial intelligence algorithm.

[0056] Preferably, the computer system 100 comprises a database 40 in signal communication with the processing unit 20 through a link suitable for supporting an Internet communication protocol. The computer system 100 further comprises a machine learning generative artificial intelligence algorithm based on a conversational model 1 resident in said processing unit 20.

[0057] It should be noted that this artificial intelligence algorithm can be queried through the user device 10.

[0058] The system 100 may also comprise a terminal 50 in signal communication with the database 40 for access to information stored therein such as final lists and related unique codes.

[0059] The method that is the subject-matter of the present invention comprises the following steps, carried out according to a preferred embodiment and shown in Figure 1.

[0060] The method comprises a preliminary step of access to a web page by the user by means of the user device 10 in order to enter statements relating to a design of a system (or installation) of a sunlight shielding.

[0061] According to one aspect, this project as clarified below envisages providing information relating to the shielding to be selected and / or to the electrical / electronic and / or mechanical devices necessary for the implementation and control of the shielding itself.

[0062] Preferably, the project can also specify the type of environment in which the shielding is to be installed in order to identify the method of use (for example, children's room, bedroom, living room, offices, etc.) and therefore the relative attendance during the day.

[0063] It should be noted that it is precisely from the project specifications provided by the user to the artificial intelligence algorithm 1 that this artificial intelligence algorithm is able to understand the type of project to be carried out and, based on the training carried out (through the aforementioned public and / or non-public sources), it is always this algorithm that is able to generate the list of components necessary for the realization (i.e. the implementation) of the project itself.

[0064] The method comprises a step a) of providing a machine learning generative artificial intelligence algorithm based on a conversational model 1. For example, the machine learning generative artificial intelligence algorithm based on a conversational model 1 is based on AIs known as ChatGPT®, Gemini® or Copilot® or similar artificial intelligence programs.

[0065] This artificial intelligence algorithm 1 is trained by means of public and / or nonpublic sources that can be of the written and / or photographic type found in at least HTML- type pages, and / or text and image files.

[0066] Preferably, such public and / or non-public sources are provided to the processing unit 20 by the training device 30.

[0067] In accordance with a preferred embodiment, step a) of the method comprises a step al) of preliminarily training the artificial intelligence algorithm by providing non-public sources (or information) such as HTML pages, text files and images concerning technical information related to the design of a sunlight shielding system.

[0068] Specifically, said technical information provided comprises technical sheets and notions relating to technical assistance for the design and implementation of a sunlight shielding system including an electrical, electronic and / or mechanical system for the power supply, for the control, for the handling of the sunlight shielding. These non-public sources are therefore information that is part of the company's know-how and that is provided to train the algorithm 1 by the company itself through the training device / software 30.

[0069] Alternatively or in combination with the previous embodiment, step al) provides for training the artificial intelligence algorithm 1 by providing public sources (or information) such as written and photographic sources found in at least HTML pages, text files and images of type concerning technical information relating to the design and implementation of a sunlight shielding system.

[0070] For example, public HTML pages comprise all the information that is present in the so-called FAQ (Frequently Asked Questions) that can be found publicly.

[0071] These public sources are therefore freely obtainable information that is part of the common knowledge and that is provided to train the algorithm 1 by the company itself through the training device / software 30.

[0072] In other words, while non-public sources represent the company's know-how for the implementation of possible sunlight shielding projects, public sources represent the freely accessible documentation concerning the instructions, suggestions, and known experiences for the implementation of possible sunlight shielding projects.

[0073] In both cases of public / non-public sources it is preferably the company that instructs the algorithm 1 by means of the training device / software 30.

[0074] It should be noted that the step of entering the information for training by means of the training device 30 takes place directly, that is, by means of the manual uploading by a person in charge of said information and / or indirectly in which said device 30 is programmed to access the web and / or information from company databases to find up-to- date information on the subject.

[0075] In accordance with an embodiment combinable with the preceding one, step a) comprises a step a2) of training the artificial intelligence algorithm by providing additional implementation statements once the electrical system has been installed and technical support has been requested.

[0076] Specifically, step a2) provides for updating the training of the artificial intelligence algorithm based on new know-how acquired during the implementation of the project and / or other projects for the implementation of other shielding.

[0077] Such additional statements may still comprise text and image files and / or similar media.

[0078] The method comprises step b) of providing by means of input on the user device 10 one or more initial statements related to a project for the installation of the sunlight shielding system.

[0079] The method comprises step c) of processing the statements provided input by means of the artificial intelligence algorithm so as to generate the final list of components representative of the correspondence between the statements provided and the training of the artificial intelligence algorithm.

[0080] Preferably, step c) provides for receiving the statements provided, analysing them, understanding them and recognizing the peculiar characteristics of the project in order to frame it within an information complex associated with artificial intelligence training.

[0081] Specifically, as anticipated, the artificial intelligence algorithm is resident in a processing unit 20 in signal communication with the user device 10. In this way, the artificial intelligence algorithm directly receives the statements provided for the relative processing.

[0082] The method comprises step d) of generating, by means of the artificial intelligence algorithm, the final list of components representative of the correspondence between the statements provided and the training of the artificial intelligence algorithm.

[0083] Advantageously, the final list of components is generated as a function of the project and training information provided so that it is final and error- free being based on the entire technical knowledge available on the subject associated with the company and beyond.

[0084] This final list comprises the type of sunlight shielding and / or components of the electrical / electronic and / or mechanical devices necessary for the implementation of such shielding.

[0085] In particular, the final list comprises:

[0086] - the types of shields (fabric blinds, sheet blinds, Venetian blinds, glass with dynamic behaviour, etc.) that meet the specifications declared in the project entered by the user according to algorithm 1 and / or

[0087] - electrical, electronic and / or mechanical devices for the implementation and control of the shielding such as electric motors, mechanical mechanisms, power cables, signal cables, electronic control units, sensors, batteries, remote controls, etc. and / or

[0088] - length of the cables, quantity of the devices, etc.

[0089] Preferably, in step c) the artificial intelligence algorithm processes the statements provided on the system project by associating a list value to each component representative of the probability of use of said component in the system design. In addition, in step d) the artificial intelligence algorithm generates the final list of components comprising the components with higher list value as a function of the training provided by step c).

[0090] In accordance with a preferred embodiment, step c) comprises step cl) of processing the initial input statements so as to generate a first list of the components by using the trained artificial intelligence algorithm. This initial information can be representative of the overall project without the specifications required to generate the list of final components, but only a first list of components. Otherwise, if the artificial intelligence algorithm recognizes that the initial statements are sufficient, step c) provides for directly generating the final list.

[0091] In the event of insufficient information, step c) comprises step c2) of generating, by means of the trained artificial intelligence algorithm, one or more additional requests on the user device 10 in signal communication with the processing unit 20. Specifically, if the artificial intelligence algorithm detects that the initial statements are approximate and have information deficiencies / ambiguities, the artificial intelligence algorithm, thanks to the training, realizes that the first list of components may not be correct. In fact, the additional requests require the input of one or more additional statements on the user device to resolve informational deficiencies and / or ambiguities necessary to determine a list of the final components. It follows that step c) comprises step c3) of inputting the additional statements requested by means of the user device 10.

[0092] Thereafter, step c) comprises step c4) of processing the initial statements and the additional statements by means of the trained artificial intelligence algorithm to generate a second list of the components which is more specific than the first list.

[0093] Finally, step c) comprises step c5) of repeating steps c2) -c4) until a final list of components representative of the correspondence between the statements provided and the training of the artificial intelligence algorithm is generated. In this way, the artificial intelligence algorithm, thanks to the training, analyses and iteratively processes the initial and additional statements to converge in an optimized and rapid manner to the information necessary for the generation of the list of final components for the relative project.

[0094] According to one aspect, the initial and additional statements provided may comprise textual statements, text files, and images such as floor plans, diagrams, and photographs. In addition, these statements provided are also related to the sunlight shielding needs of one or more rooms, where needs refer to the type of room and the type of occupants. For example, in a children's room, the shielding system will have to take into account the fact that it will be occupied for a large number of hours, thus necessitating the passage of more light than the bedroom of their parents who are not at home for almost the entire day.

[0095] In accordance with an embodiment, the method 1 comprises step e) of generating a unique code, preferably of the non-intelligible type, associated with each final list generated and representative of the relative final list. It should be noted that this unique code can be a numeric, alphanumeric code and / or a QRcode.

[0096] Thanks to the generation of the unique code, the method makes it possible to maintain the security and confidentiality of the final list generated. Specifically, step e) generally provides for a unique code for each final list generated and to save said code together with the relative list in a database 40 in signal communication with the data processing unit 20.

[0097] Preferably, step e) comprises step el) of storing in a database 40 each unique code together with its associated final list. Step el) may also include associating a tag relating to the user who requested the list with each unique code.

[0098] Simultaneously or subsequently or even as an alternative to step el), step e) comprises a step e2) which provides for displaying the unique code to the user through the user device 10. Specifically, step e2) provides for sharing the unique code to the user interested in the project of the sunlight shielding system.

[0099] It should be noted that the final list and its unique code can be displayed on request by a terminal 50, for example the terminal in possession of the installer, in signal communication with the database 40.

[0100] APPLICATION EXAMPLE

[0101] User: I have a bedroom with a 1000x1000 window, a kitchen with a 2000x1000mm window, and a living room with three 2000x2000 window doors

[0102] Al: I would recommend an external roller shutter that can create darkness in the bedroom, while in the kitchen and living room it would be preferable to use a sunlight shielding integrated into the glass that can filter and modulate the amount of light, do you agree on that?

[0103] User: yes, I do

[0104] Al: Do you have any aesthetic preferences or can I suggest blind colours that optimize thermal and optical comfort?

[0105] User: In the kitchen it must be white, in the bedroom and living room I leave it to you.

[0106] Al: Okay, for the kitchen I suggest a RAL 9010 Venetian blind, for the bedroom I suggest the RAL9010 colour, whilst for the living room I suggest a ZZZ colour metallic filter fabric. Do you agree on that?

[0107] User: yes, I do.

[0108] Al: Do you prefer manually operated blinds or do you have any special needs for them to be motorized, bear in mind that in the case of the living room, always having to act on 3 manual blinds could be uncomfortable and making motorization and group control option more suitable.

[0109] User: in the bedroom I would like it to be motorized with button-to-wall control. A manual blind is fine in the kitchen. I'd like a remote control in the living room.

[0110] Al: Do you want the remote control to control them in groups only or individually, as well?

[0111] User: Individually, as well.

[0112] Al: Okay, does the electrical system include installing the accessories in the same electrical panel or distributed among the rooms?

[0113] User: Distributed in each room.

[0114] Al: Okay, I have generated a list of shields and electrical accessories that are right for you, you can find it at this link and described below:

[0115] 1 RAU9010 colour roller shielding for the 10000x1000 sized bedroom with 230V motor with 32RPM mechanical limit switch, Model XXX

[0116] 1 230V motor control unit model HHH to be installed in the bedroom

[0117] 1 Venetian window integrated into the RAL9010 coloured glass for the kitchen model YYY sized 2000x1000 and manual cord control. - 3 Integrated motorised blinds inside the glass made of ZZZ-coloured metallic filtering fabric for the living room, model KKK and sizes 2000x2000

[0118] 3 radio control units model FFF to be installed in the living room.

[0119] 1 power supply for FFF control units suitable and sized for KKK blinds to be installed in the living room. - 1 remote control compatible with FFF control units

[0120] It is clear that a person skilled in the art will be able to make numerous equivalent modifications to the variants set forth above, without thereby departing from the scope of protection as defined by the appended claims.

Claims

CLAIMS1. Method (1) for generating a list of the components of a sunlight shielding system, said list comprising one or more sunlight shields and / or the relative components for the implementation and control of such shields, said method being characterized in that it comprises the steps of: a) providing a machine learning generative artificial intelligence algorithm based on a conversational model, said artificial intelligence algorithm being trained by means of public and / or non-public sources, said sources being chosen from written and photographic sources found in HTML-type pages, text files and images, said artificial intelligence algorithm being trained to generate a list of the components necessary to make the system; b) providing by means of input on a user device (10) one or more initial statements related to a project for the installation of the sunlight shielding system; c) processing the statements provided by means of said artificial intelligence algorithm so as to generate said list of components, said list being representative of the correspondence between the statements provided and the training of the artificial intelligence algorithm, said artificial intelligence algorithm being resident in a processing unit (20) in signal communication with the user device (10), d) generating, by means of said artificial intelligence algorithm, the final list of components representative of the correspondence between the statements provided and the training of the artificial intelligence algorithm.

2. The method (1) according to claim 1, comprises the steps of: e) generating a unique code associated with each list generated and representative of therelative final list.

3. The method (1) according to claim 2, wherein said step e) comprises a step el) of storing in a database (40) each unique code in a memory unit in signal communication with the processing unit (20) and / or a step e2) of displaying the unique code to the user through the user device (10).

4. The method (1) according to claim 1, wherein said step a) comprises a step al) of preliminarily training the artificial intelligence algorithm by providing HTML- type pages, text files and images of public and / or non-public type having technical information related to the design of a sunlight shielding system, said provided technical information comprising technical data sheets and notions related to technical assistance for the design and implementation of a sunlight shielding system comprising shields.

5. The method (1) according to claim 4, wherein step a) comprises a step a2) of training the artificial intelligence algorithm by providing additional statements of commissioning by means of the input device once the electrical system has been installed and technical support has been requested.

6. The method (1) according to any one of claims 1 to 5, wherein in step c) the artificial intelligence algorithm processes the provided statements on the system design, associating a list value to each component representative of the probability of use of such a component in the system design and in step d) the artificial intelligence algorithm generates the final list of components comprising the components with a higher list value as a function of thetraining provided by step c).

7. The method (1) according to any one of claims 1 to 6, wherein step c) comprises the steps of: cl) processing the initial input statements so as to generate a first list of components by means of the trained artificial intelligence algorithm; c2) generating, by means of the trained artificial intelligence algorithm, one or more additional requests on the user device (10) in signal communication with the processing unit (20), said additional requests requiring the input of one or more additional statements on the user device (10) to resolve informational deficiencies and / or ambiguities necessary to determine a list of final components; c3) inputting the additional statements requested by means of the user device (10); c4) processing the initial statements and the additional statements by means of the trained artificial intelligence algorithm to generate a second list of components which is more specific than the first list; c5) repeating steps c2) -c4) until a final component list representative of the correspondence between the statements provided and the artificial intelligence algorithm training is generated.

8. Computer system for implementing a method for generating a list of components for the installation of sunlight shields, said list comprising the type of shields and / or the relative components of a system for the actuation of such shields, said system comprising a user device (10), a processing unit (20) in signal communication with the user device (10) through a link suitable to support an Internet communication protocol, a database (40)in signal communication with the processing unit (20) through a link suitable to support an Internet communication protocol, a machine learning generative artificial intelligence algorithm based on a conversational model resident in said processing unit (20), said artificial intelligence algorithm being interrogable through said user device (10), said system being characterized in that it is configured to carry out the steps of the method according to the preceding claims from 1 to 7.

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