WO2012066259A1

WO2012066259A1 - System for generating manufacturing orders for an item of sleeping or seating equipment, and method implemented by such an item of equipment

Info

Publication number: WO2012066259A1
Application number: PCT/FR2011/052700
Authority: WO
Inventors: Michel Vray; Vladimir Silberman
Original assignee: Cauval Industries
Priority date: 2010-11-19
Filing date: 2011-11-18
Publication date: 2012-05-24
Also published as: FR2967560B1; FR2967560A1

Abstract

The system (10) for generating manufacturing orders (O) for an item of sleeping or seating equipment for a user is characterized in that it comprises: - a test item of sleeping or seating equipment (12), provided with sensors (24) and intended to accommodate the user so as to obtain a morphological imprint (M) of this user; and - an information processing unit (14) comprising means (42) for automatically generating a manufacturing order (O) for a personalized item of sleeping or sitting equipment (Ep) specific to the morphological imprint (M) obtained.

Description

System for generating production orders for bedding or bedding equipment, and method implemented by such equipment

The present invention relates to a production order generation system of a bedding or seating equipment for a user.

Such a system is intended to generate orders of manufacture of seat cushions, mattresses and / or sommier designed to be optimized with respect to the morphology of their users.

There are known systems allowing a user to choose a bedding or seating equipment adapted to its morphology, from a predetermined range of equipment. For example, the system marketed by the company XSENSOR® proposes to a user to test different bedding equipment, so as to record a morphological imprint of the user on each bedding equipment and, after comparing the morphological imprints recorded between them, indicates to the user the tested bedding equipment best suited to its morphology.

It is then easy to generate a production order of the selected bedding equipment.

Such a system does not, however, offer a wide variety of bedding equipment that can be manufactured, the production orders can be generated being limited to the only manufacturing orders corresponding to the equipment of said predetermined range. The manufactured bedding equipment will therefore never be fully optimized to the morphology of the user.

An object of the invention is to provide a system for generating production orders for a bedding or seating equipment that allows the manufacture of equipment that is specific to the morphology of their users.

To this end, the subject of the invention is a system for generating a production order for bedding or bedding equipment of the aforementioned type, characterized in that it comprises:

- Bedding equipment or test seat, equipped with sensors and intended to receive the user to record a morphological imprint of this user; and

- An information processing unit, comprising means for automatically generating a production order of bedding equipment or custom seat specific to the morphological imprint noted.

The system according to the invention may comprise one or more of the following characteristics, taken separately or according to any combination (s) technically possible (s): the automatic generation means are adapted:

o to determine a grid of the test equipment, delimiting a plurality of regions of the test equipment,

o to determine, from the identified footprint, an average pressure exerted by the user on each region, and

o to determine, according to each average pressure, an instruction to manufacture a zone of the personalized equipment, the production order comprising each manufacturing instruction.

said system comprises means forming a human / machine interface, said means comprising means for selecting a category of equipment personalized by the user;

the automatic generation means are adapted to determine the grid of the test equipment according to a category of personalized equipment selected by the user by means of the selection means;

the information processing unit is connected to a pre-established database for storing at least one pre-established blank template of production order;

the automatic generation means are adapted to retrieve from the database a pre-established blank template, and to complete said blank template according to the fingerprint read, so as to generate a production order;

the automatic generation means are adapted to retrieve from the database a pre-established blank template specific to a category of personalized equipment selected by the user by means of the selection means;

the automatic generation means are adapted to complete the blank model with each production instruction;

- the personalized equipment consists of a seat cushion seat;

the personalized equipment consists of a bed base and / or a mattress;

the sensors are pressure sensors distributed in the form of a sheet in or on the test equipment;

the database is hosted on a server remote from the rest of the system and connected to it by means of information transmission;

the information processing unit is also adapted to select, from the morphological fingerprint recorded by the user, in a range of possible bedding and seating equipment, at least one bedding or bedding equipment; seat adapted to the morphology of the user, the system comprising man / machine interface means adapted to present to the user the or each selected bedding or seat equipment; The subject of the invention is also a method for automatic generation of bedding or bedding equipment intended to be implemented by a system as presented above, characterized in that it comprises the following steps:

- recovery of a morphological impression of the user,

- Automatic generation of a production order of bedding equipment or customized seating specific to the morphological imprint noted.

Other characteristics and advantages will appear on reading the description which follows, given solely by way of example and with reference to the appended drawings, in which:

FIG. 1 is a schematic representation of a system for generating a production order of bedding equipment according to the invention,

FIG. 2 is a matrix presenting a ranking of degrees of comfort of bedding equipment, according to the bedding equipment and reference morphological impressions with which they are associated,

FIG. 3 is a diagram illustrating the links between certain information processed by an information processing unit of the system of FIG. 1,

FIG. 4 is a diagrammatic view of a grid of a test element of the system of FIG. 1, a raised morphological imprint being superimposed on said grid,

FIG. 5 is a schematic view of a touch pad of the assistance system of FIG. 1, a tactile interface of the tablet displaying a first screen,

FIG. 6 is a view similar to FIG. 4, the touch interface displaying a second screen,

FIG. 7 is a block diagram illustrating a first method implemented by the system of FIG. 1, and

- Figure 8 is a block diagram illustrating a second method implemented by the system of Figure 1.

The system 10 for generating a production order of bedding equipment according to the invention, shown in FIG. 1, comprises test bedding equipment 12, an information processing unit 14, and a touch pad. 16 forming a human-machine interface. The assistance system 10 is particularly adapted to help a user to choose a bedding equipment E in a range G of bedding equipment E _k (with k between 1 and m, where m is the number of bedding equipment E _k in the range G) possible. The test bedding equipment 12 comprises a bed base 20 and a mattress 22. It is equipped with pressure sensors 24 distributed in the form of a sheet. Said sheet is disposed on the bedding equipment, for example above the mattress 22, or in the bedding equipment, for example between the bed base 20 and the mattress 22. The mattress 22 defines a sleeping surface or sitting 25 of test equipment 12.

The test bedding equipment 12 is intended to receive the user on his sleeping or sitting surface 25 to take a morphological impression M of this user, by means of the pressure sensors 24.

The range G preferably comprises bedding equipment E _k constituted by a set formed by a bed base and a mattress, such as test equipment 12. Alternatively, the range includes bedding equipment consisting of single mattresses. or by bedsprings alone.

In particular, the range G comprises several categories C, (with j between 1 and p, where p is the number of categories C, different from the range G) of bedding equipment E _k . Typically, a first category Ci of bedding equipment E _k consists of equipment E _k comprising a spring mattress, a second category C ₂ of bedding equipment E _k consists of equipment E _k comprising a foam mattress, and a third category C ₃ of bedding equipment E _k consists of equipment E _k comprising a mixed foam and latex mattress. The category C ₀ is the range G. As a variant, sub-categories of bedding equipment E _k are formed, depending on whether each equipment E _k comprises a bed base or not.

The information processing unit 14 is typically a computer. It is adapted to select, from the morphological imprint noted M, in the range G possible bedding equipment, bedding equipment E _k adapted to the morphology of the user.

For this purpose, the information processing unit 14 is connected to a pre-established database 30 for storing a plurality of reference morphological fingerprints M ₀ j (where i is between 1 and n, where n is the number of reference morphological impressions Μ _0, )) and, for each morphological reference fingerprint M ₀ j, optimal bedding or bedding equipment Eo, _j associated with the reference morphology M ₀ j and a category C _j .

Each morphological fingerprint of reference M ₀ j is constituted by a morphological fingerprint of a reference individual on the test bedding equipment 12. At least two morphological fingerprints of reference M ₀ j correspond to different reference individuals. Preferably, morphological imprints of M _oi reference correspond to different positions (for example on the stomach, on the back, or side) of the same reference individual on the test equipment.

It should be noted that a reference individual is an individual with predetermined characteristics, particularly in terms of weight and height, representative of certain sections of the population. To obtain a set of reference morphological fingerprints M _oi relatively representative of the entire population, it will be preferable for the database to comprise morphological reference fingerprints M _0j corresponding to the morphological fingerprints, each time in two different positions. at least four male reference persons and at least four female reference persons, ie a total of at least sixteen morphological reference fingerprints M _0j .

Each optimal equipment Εο associated with a morphographic footprint of reference M _0j was determined upstream, during the constitution of the database 30, by tests carried out by the reference individuals on the equipment E _k of the range G d bedding equipment.

As illustrated in FIGS. 2 and 3, a reference comfort degree DC _0, i _{, k} of each equipment E _k of the range G, for each reference individual in each position, has been determined objectively by a reading of morphological imprint of the reference individual in said position on said equipment E _k . Each reference degree of comfort DC _0, i _{, k} of an equipment E _k is thus associated with the reference morphology M _oi corresponding to the same reference individual and to the same position. The determination of such a degree of comfort of bedding equipment by means of a morphological imprint of an individual on the equipment is known per se and will not be detailed here.

Each degree of reference comfort DC _0, i _{, k} is for example expressed in the form of a percentage of comfort.

In the example shown in FIG. 2, the reference comfort degrees DC _0, i _{, k} are classified in a matrix 100, each reference comfort degree DC _{0j, k} of a device E _k being stored in the k ^th column of the matrix 100, and each degree of comfort reference DC _{0j, k} associated with a morphological reference footprint M _0j being ranked in the ^ith row of the matrix 100.

As can be seen in FIG. 3, each optimal equipment Eo, _j associated with a reference footprint Μ ₀ ,, was then determined to be the equipment E _k of a predetermined category C _j having the degree of reference comfort DC _{0j , k} , associated with the reference footprint M _0, i, the highest. Returning to Figure 1, the database 30 is preferably hosted on a server 31 remote from the rest of the system 10, and connected thereto by information transmission means 32, for example the Internet. In a variant, the database 30 is housed in a memory of the information processing unit 14.

In addition, the information processing unit 14 comprises means 33 for communicating with the pressure sensors 24, means 34 for comparing the identified morphological imprint M of the user with each morphological reference fingerprint M ₀ j , means 36 for communication with the touch pad 16, and communication means 38 with remote servers.

The communication means 33 are for example formed by means of radio transmission, bluetooth or wireless internet, or by a serial port of the information processing unit 14, to which is connected a serial cable connected to the sensors 24.

The comparison means 34 are typically formed by the cooperation between an information processing computer program, stored in a memory of the information processing unit 14, and the processor of the information processing unit 14, which is adapted to execute said computer program.

The comparison means 34 are adapted to compare the marked morphological imprint M with each reference morphological fingerprint Μ ₀ , stored in the database 30, so as to define reference morphological imprints M _oi with which the morphological imprint noted M has similarities.

As illustrated in FIG. 3, the comparison means 34 are adapted to determine, for each morphological reference fingerprint M _oi , a degree of similarity DS, with the marked fingerprint M, representative of the number of similarities between the morphological print of reference Μ ₀ ,, and the fingerprint read M. Each degree of similarity DS, for example, is expressed as a percentage of similarity.

The comparison means 34 are also adapted to determine, for each optimal bedding equipment Εο of a predetermined category C _j , a degree of user comfort DCu of the equipment. As illustrated in FIG. 3, each degree of user comfort DCu of an optimal bedding equipment Eo, _j is a function of the degree of similarity DS, of the reference footprint M ₀ j associated with the optimal equipment EOi _j , and the degree of reference comfort DC _0, i _{, k} , associated with the reference footprint M ₀ j, of the optimal equipment Eo, _j .

Each degree of user comfort DCu of an optimal bedding equipment Eo, _j is for example a product of the degree of similarity DS, of the reference footprint M _oi associated with the optimal equipment Eoij, and the reference comfort degree DC ₀ , i, k, associated with the reference footprint M _oi , of the optimal equipment Eo, _j .

As a variant, the degree of user comfort DCu of an optimal equipment Eoi _j is a function of the single degree of DS similarity, of the morphological imprint M _oi .

The comparison means 34 are also adapted to select the optimal bedding equipment EO _Î J of the predetermined category C _j having the degrees of DCU highest user comfort. In the following, the bedding equipment selected will be designated by the reference Es.

Returning to Figure 1, the communication means 36 are preferably, as shown, wireless communication means, for example Wifi type. Alternatively, they include serial, USB, VGA and / or HDMI ports.

The communication means 38 are typically formed by an Ethernet port of the information processing unit 14. They are preferably connected to the information transmission means 32.

The information processing unit 14 is also adapted to generate O manufacturing orders of custom bedding equipment Ep not belonging to the G range.

To this end, the information processing unit 14 is connected to a pre-established database 40 storing predetermined blank templates Mv _j production orders, and comprises means 42 for automatic generation of production orders O from the blank templates Mv _j , and means 44 for transmitting production orders O to a manufacturing unit 46 of custom bedding equipment.

The database 40 is preferably hosted on a server 48 remote from the rest of the system 10, and connected thereto by the information transmission means 32. As a variant, the servers 31 and 48 are merged.

The automatic generation means 42 are typically formed by the cooperation between an information processing computer program, stored in a memory of the information processing unit 14, and the processor of the information processing unit 14 which is adapted to execute said computer program.

The automatic generation means 42 are adapted to retrieve, in the database 40, a virgin model Mv _j specific to a category C _j of bedding equipment selected, and to complete said blank model Mv _j according to the footprint raised M, so as to generate a production order O for a custom bedding equipment Ep. In more detail, the automatic generation means 42 are adapted to determine, according to the selected category C _j , a grid Q _j of the test equipment 12 delimiting a plurality of regions R _h of the test equipment 12 (with h equals 1 to I, where I is the number of regions R _h delimited by the grid Q _j ). As can be seen in FIG. 4, the grid Q _j covers the entire surface of the coating or seat 25 of the test equipment 12, that is to say that the R _h regions taken together cover the entire sleeping or sitting area 25.

In the example shown, each region R _h has a square shape. The term "grid", however, is broadly understood to delimit regions of various shapes and not necessarily limited to squares or lozenges.

The automatic generation means 42 are also adapted to determine, from the measured footprint M, an average pressure P _M , h exerted by the user on each region R _h of the test equipment 12, and to determine, according to each average pressure P _M , h, a manufacturing instruction l _h of a zone Z _h of the personalized equipment Ep.

Each zone Z _h of the personalized equipment Ep corresponds to a region R _h of the test equipment 12. The zones Z _h taken together constitute the personalized element Ep.

Preferably, the manufacturing instructions 1 _h depend on the category C _j selected. For example, each production instruction l _h is foam density information in the zone Z _h when the category C _j selected is the "foam mattress" category, or spring model information to be placed in the zone Z _h when the category C _j selected is the category "spring mattress".

In a variant, the manufacturing instructions l _h do not depend on the category C _j selected and each instruction is a hardness instruction of the zone Z _h of the personalized equipment Ep, the manufacturing unit 46 then being adapted to determine it. according to each hardness instruction l _h , the foam density or the spring pattern to be placed in the zone Z _h .

The automatic generation means 42 are thus adapted to complete the blank model Mv _j with the manufacturing instructions l _h and possibly with other information, such as the date and the coordinates of the user, to generate the production order. O, and to transmit the production order O to the manufacturing unit 46 via the transmission means 44.

The transmission means 44 are for example an Ethernet port of the information processing unit 14, connected for example to the Internet. The manufacturing unit 46 is adapted to manufacture the personalized element Ep according to the information included in the production order O, and in particular to manufacture each zone Z _h of the element Ep according to the information contained in an instruction manufacturing l _h .

Returning to FIG. 1, the touch pad 16 comprises means 50 for communication with the processing unit 14, typically wireless communication means, for example of the Wifi type, and a touch interface 52.

As can be seen in FIG. 4, the touch interface 52 is adapted to display a classification 54 of bedding equipment Es selected by the information processing unit 14. Preferably, the touch interface 52 is also adapted to display, for each selected bedding equipment Es, a data item 56 representative of the degree of user comfort DCu of each equipment Es. In the example shown, the touch interface 52 is further adapted to display the morphological fingerprint read M.

Preferably, the selected bedding equipments Es are classified according to their respective degrees of user comfort DCu.

The degree of user comfort DCu is for example expressed as a percentage, or in the form of a histogram.

The tablet 16 is also provided with means 58 for selecting a category C _j of bedding equipment, to restrict the selection of bedding equipment by the information processing unit 14 to only equipment E _k of the category C _j selected, and / or to select the category C _j of the custom bedding element Ep to be manufactured. The selection of a category C _j is for example by tapping an icon 58a, 58b, 58c displayed by the touch interface 52 and representing the category C _j .

The tablet 16 is also provided with means 60 for selecting a selected bedding equipment E from the selected bedding equipment Es, for example by tapping an icon 60a, 60b representing one of the selected bedding elements Es, and means 62 initiating a control order of the selected bedding equipment E, for example by tapping a command order launch button displayed on the interface 52.

The tablet 16 also comprises means 64 for launching the generation by the information processing unit 14 of a production order O of a custom bedding equipment Ep of the category C _j selected, for example by tapping a production order start button displayed on interface 52.

As can be seen in FIG. 5, the tablet 16 is also provided with means 66 for launching a survey of the user's morphological fingerprint M, for example by tapping a button to launch a record of the morphology imprint displayed on the interface 52.

Alternatively, other means than the touch pad 16 form the human-machine interface, such as a set of a screen and a keyboard connected to the information processing unit 14.

A method 200 for assisting in the selection of a bedding equipment E _k of the range G, implemented by the system 10, will now be described, with reference to FIG. 7.

In an initial step S00 of the method 200, the system 10 is waiting for the user. The touch interface 52 then displays a screen similar to that shown in Figure 5 and the rest of the system 10 is at rest.

When the means 66 for launching a statement of the morphological fingerprint M of the user are actuated, a first step S10 of the method 200 is activated. In the first step S10, the system 10 performs a survey of the morphological fingerprint M of the user. For this purpose, each pressure detected by each sensor 24 is transmitted to the information processing unit 14, which processes these data so as to establish the identified morphological fingerprint M of the user.

Then, the method 200 proceeds to a second step S20 for comparing the raised fingerprint M with each reference fingerprint M _oi stored in the database 32.

This second step S20 comprises a first substep S21 of defining the degree of similarity DS, of each reference imprint M _0, i with the marked imprint M, followed by a second substep S22 of determination of the degree of comfort DCu user of the optimal equipment Eoi _j , associated with each reference footprint Mo ,, of a category C, predetermined. Preferably, said category C, predetermined is the category C ₀ by default.

Then the method 200 proceeds to a third step S30 of selection and presentation of bedding equipment Es adapted to the morphology of the user

This third stage S30 S31 includes a first sub-step of selecting optimal bedding equipment _Eo, presenting the highest levels of user comfort DCU. The information processing unit 14 selects a predetermined number of bedding equipment Εθ for example three pieces of equipment, and preferably less than ten pieces of equipment.

This first substep S31 is followed by a second substep S32 showing the selected bedding equipment Es. Preferably, the degree of user comfort DCu of each selected bedding equipment Es is also presented. Then the method 200 proceeds to a step S40 waiting for a choice of the user.

In a first case A, the user chooses to control the E of the selected bedding equipment Es by actuating the means 60 and 62. The method 200 then proceeds to a fifth step S50 of generating a control order of the chosen equipment E, then returns to the initial step S00.

In a second case B, the user chooses to limit himself to equipment E _k of a category C _j . After activating a means 58 for selecting the category Cj, the method 200 returns to the second substep S22 of the second step S20.

In a third case C, the user chooses not to control one of the selected bedding equipment Es, and the method 200 returns directly to the initial step S00. This return to the initial step S00 is done after a predetermined time after the beginning of the step S40, or by operation of a device 68 (FIG. 5) for reinitializing the system 10.

Thanks to the invention, it is thus possible for a user to quickly and easily choose a bedding equipment adapted to its morphology, without having to resort to a long and lavish test session of different bedding equipment.

In addition, the user has access to a wide range of equipment, even if it is not possible to test them all directly. This point is particularly advantageous for the seller, who does not need to have a copy of each model of the range in his store, which allows him to make significant space savings.

In addition, choosing a category of equipment allows the user to direct the selection according to his personal taste.

A method 300 for generating a production order O for a custom bedding equipment Ep, implemented by the system 10, will now be described, with reference to FIG.

In an initial step S100 of the method 300, the system 10 is waiting for the user. The touch interface 52 then displays a screen similar to that shown in Figure 5 and the rest of the system 10 is at rest.

When the means 66 for initiating a reading of the morphological fingerprint M of the user are actuated, a first step S1 of the method 300 is activated. In the first step S1 10, the system 10 performs a survey of the user's morphological fingerprint M. For this purpose, each pressure detected by each sensor 24 is transmitted to the information processing unit 14, which processes these data so as to establish the identified morphological fingerprint M of the user.

Then the method 300 proceeds to a second step S120 waiting for the user. In a first case A ', the user selects a category C _j of equipment by activating a means 58 for selecting the category C _j . The method 300 then proceeds to a third step S130 waiting for the user.

In a second case B ', the user does not activate any means 58 for selecting a category C _j . The method 300 then returns to the initial step S100, either after a predetermined time after the start of the second step S120, or by actuating the system reset device 68 10.

During the third step 130 waiting for the user, the system 10 is waiting for the user to launch the generation of a production order of a personalized equipment.

In a first case A ", the user starts the generation of the production order O for a personalized equipment Ep of the category C _j selected by actuating the means 64 for launching the generation of a production order The process 300 then proceeds to a fourth step S140 of automatic generation of the production order O.

In a second case B ", the user does not activate the means 64 for starting the generation of a production order.The method 300 then returns to the initial step S100, ie after a predetermined time after the beginning of the third step S130, either by actuating the system reset device 68 10.

The step S140 of automatic generation of the production order O comprises a plurality of sub-steps S141, S142, S143, S144, S145.

In a first substep S141, the information processing unit 14 retrieves the blank template Mv _j associated with the category C _j selected in the database 40.

In a second substep S142, the information processing unit 14 determines, according to the selected category C _j , a grid Q _j of the test equipment 12.

Then, in a third substep S143, the information processing unit 14 determines, for each region R _h delimited by the grid Q _j , an average pressure P _M , h exerted by the user on said region R _h 12. For this, the information processing unit 14 determines, by means of the raised fingerprint M, a pressure measured by each sensor 24 included in said region R _h , and calculates the average pressure. P _M , h as the average of the pressures recorded.

In a fourth substep S144, the information processing unit 14 determines the manufacturing instructions l _h according to the average pressures P _M Finally, in a fourth substep S145, the information processing unit 14 completes the blank template Mv _j with the manufacturing instructions l _h , so as to obtain the production order O.

Once the fourth step S140 is complete, the process 300 proceeds to a fifth step S150 of transmission of the production order O to the manufacturing unit 46.

Then the process returns to the initial step S100.

It is conceivable that, thanks to the system according to the invention, it is possible to generate a production order to produce a custom bedding item that is particularly optimized for the morphology of the user. This allows demanding users to have tailor-made equipment.

In addition, thanks to the automation of the system, the manufacturing costs of the customized equipment are reduced.

Finally, the system is adapted to the generation of production orders for equipment of different categories, which makes it possible to adapt to the personal tastes of the user.

In the description given above, the system 10 is adapted to the selection of bedding equipment and the generation of bedding equipment manufacturing orders. However, the invention also covers systems similar to the system 10 and adapted to the selection of a seating equipment and to the generation of orders for the manufacture of seating equipment, such as seat cushions test bedding equipment 12 being replaced by test bedding equipment, and the data bass 30 being modified accordingly.

The invention also covers systems limited to the function of selecting a device from a range of equipment or generation of custom equipment manufacturing orders.

Finally, the system according to the invention does not necessarily include means for selecting a category of equipment.

Claims

1. - System (10) for generating a production order (O) of a bedding or seating equipment for a user, characterized in that it comprises:

- Bedding equipment or test seat (12), equipped with sensors (24) and intended to receive the user to record a morphological imprint (M) of this user; and

an information processing unit (14), comprising means (42) for automatic generation of a production order (O) of bedding equipment or personalized seating (Ep) specific to the morphological imprint raised (M).

2. - System (10) according to claim 1, characterized in that the automatic generation means (42) are adapted:

- to determine a grid (Q _j ) of the test equipment (12) delimiting a plurality of regions (R _h ) of the test equipment (12),

to determine, from the measured footprint (M), an average pressure

(P _{M, h} ) exerted by the user on each region (R _h ), and

- to determine, according to each average pressure (P _{M, h} ), a production instruction (l _h ) of a zone (Z _h ) of the personalized equipment (Ep), the production order (O) including each manufacturing instruction (l _h ).

3. - System (10) according to claim 1 or 2, characterized in that it comprises means (16) forming a man / machine interface, said means (16) comprising means (58) for selecting a category ( C _j ) Custom equipment (Ep) by the user.

4. System (10) according to claims 2 and 3 taken together, characterized in that the automatic generation means (42) are adapted to determine the grid (Q _j ) of the test equipment (12) as a function of a category (C _j ) of personalized equipment (Ep) selected by the user by means of selection means (58).

5. - System (10) according to any one of the preceding claims, characterized in that the information processing unit (14) is connected to a pre-established database (40) for storing at least one model pre-established blank (Mv) of production order.

6. - System (10) according to claim 5, characterized in that the automatic generation means (42) are adapted to recover in the database (40) a predetermined blank template (Mv _j ), and to complete said model virgin (Mv _j ) according to the raised fingerprint (M), so as to generate a production order (O).

7. - System (10) according to claims 3 and 6 taken together, characterized in that the automatic generation means (42) are adapted to recover in the database (40) a preset virgin model (Mv,) specific to a category (C _j ) of personalized equipment (Ep) selected by the user by means of selection means (58).

8. - System (10) according to claims 2 and 6 taken together, characterized in that the automatic generation means (42) are adapted to complete the blank model (Mv) recovered with each production instruction (l _h ).

9. - System (10) according to any one of the preceding claims, characterized in that the personalized equipment (Ep) is constituted by a seat cushion seat.

10. - System (10) according to any one of claims 1 to 8, characterized in that the personalized equipment (Ep) is constituted by a bed base and / or a mattress.

1 1. - System (10) according to any one of the preceding claims, characterized in that the sensors (24) are pressure sensors distributed in the form of a web in or on the test equipment (12).

12. - System (10) according to claim 5, characterized in that the database (40) is hosted on a server (48) remote from the rest of the system (10) and connected thereto by transmission means information (32).

13. System (10) according to any one of the preceding claims, characterized in that the information processing unit (14) is also adapted to select, from the identified morphological imprint (M) of the user, in a range (G) of bedding and seating equipment possible (E _k ), at least one equipment (Es) bedding or seat adapted to the user's morphology, the system (10) ) comprising means (16) forming a human / machine interface adapted to present to the user the or each selected bedding or seating equipment (Es).

14.- Method (300) for automatic generation of custom bedding or seating equipment production orders (Ep), intended to be implemented by a system (10) according to any one of the preceding claims, characterized in that it comprises the following steps:

- recovery of a morphological impression (M) of the user,

- automatic generation of a production order (O) of bedding equipment or customized seating (Ep) specific to the morphological imprint noted (M).