METHOD AND DEVICE FOR CONTROLLING AT LEAST ONE DARKING DEVICE

Description

TECHNICAL FIELD

[0001] The present invention relates to a method and device for controlling at least one blackout device for at least one opening of a room in a building.

[0002] More specifically, the invention lies in the field of temperature management of a room in a building by controlling a blackout device for at least one opening. STATE OF PRIOR ART

[0003] The energy provided by solar radiation is a significant factor in a room. It helps reduce the need for fossil fuels or electricity to heat the room in winter, but can increase the need for fossil fuels or electricity to cool the room in summer.

[0004] Document EP 3 339 988 A1 shows a method for controlling at least one motorized roller shutter of at least one opening of a room in a building, where the method includes the steps of: obtaining, from a server of a telecommunications network, weather forecasts including temperature forecasts and information representative of forecast values ​​of solar radiation power for at least one day, obtaining the indoor temperature of the building, comparing the indoor temperature of the building to a value representative of a second predetermined temperature threshold. DESCRIPTION OF THE INVENTION

[0005] The invention aims to optimize the energy input from solar radiation, which is a significant element in a room, in order to ensure that the needs for fossil or electrical energy required for heating or cooling the room are reduced.

[0006] According to a first aspect of the invention, the invention relates to a method for controlling at least one motorized roller shutter of at least one opening in a room of a building, characterized in that the method comprises the steps of: obtaining, from a telecommunications network server, weather forecasts including temperature forecasts and representative information on forecast values ​​of solar radiation power for at least one day, obtaining the indoor temperature of the building, comparing the maximum temperature forecast for the day to a representative value of a first predetermined temperature threshold, comparing the indoor temperature of the building to a representative value of a second predetermined temperature threshold, calculating a ratio of the value of energy supplied by solar radiation for the day to the difference between the representative value of the second predetermined temperature threshold and the value of the indoor temperature of the building, comparing the calculated ratio with a decision threshold,If the maximum forecast temperature for the day is greater than or equal to the representative value of the first predetermined temperature threshold, and if the building's internal temperature is greater than or equal to the representative value of the second predetermined temperature threshold, the shading device is activated. If the maximum forecast temperature for the day is greater than or equal to the representative value of the first predetermined temperature threshold, and if the building's internal temperature is less than the representative value of the second predetermined temperature threshold, and if the calculated ratio is greater than or equal to the decision threshold, the shading device is activated.

[0007] Correspondingly, the invention relates to a control system for at least one motorized roller shutter of at least one opening in a room of a building, characterized in that the system comprises: means of obtaining, from a server on a telecommunications network, weather forecasts including temperature forecasts and representative information on forecast values ​​of solar radiation power for at least one day; means of obtaining the indoor temperature of the building; means of comparing the maximum temperature forecast for the day to a representative value of a first predetermined temperature threshold; means of comparing the indoor temperature of the building to a representative value of a second predetermined temperature threshold; means of calculating a ratio of the value of energy supplied by solar radiation for the day to the difference between the representative value of the second predetermined temperature threshold and the value of the indoor temperature of the building; means of comparing the calculated ratio with a decision threshold.control means for the shading device if the maximum forecast temperature for the day is greater than or equal to the representative value of the first predetermined temperature threshold and if the building's internal temperature is greater than or equal to the representative value of the second predetermined temperature threshold; control means for the shading device if the maximum forecast temperature for the day is greater than or equal to the representative value of the first predetermined temperature threshold and if the building's internal temperature is less than the representative value of the second predetermined temperature threshold and if the calculated ratio is greater than or equal to the decision threshold.

[0008] Thus, the present invention makes it possible to determine the days for which the blackout device should be controlled in order to limit unnecessary movements of the blackout devices and improve the visual comfort of the occupant.

[0009] According to another aspect of the invention, the values ​​of the power of solar radiation are obtained from a transposition of cloud cover predictions obtained via the server.

[0010] According to another aspect of the invention, the process further comprises the steps of: The shading device will not be activated for the entire day if the maximum temperature forecast for the day is less than the representative value of the first predetermined temperature threshold, or if the maximum temperature forecast for the day is greater than or equal to the representative value of the first predetermined temperature threshold and the building's internal temperature is less than the representative value of the second predetermined temperature threshold and the calculated ratio is less than the decision threshold.

[0011] Thus, the present invention makes it possible to determine the days for which the blackout device should be controlled in order to limit unnecessary movements of the blackout devices and improve the visual comfort of the occupant.

[0012] According to another aspect of the invention, the representative value of the first predetermined threshold is equal to a predetermined temperature threshold plus a value defined by the occupant of the building.

[0013] Thus, the present invention takes into account the needs and feelings of the occupant.

[0014] According to another aspect of the invention, the value defined by the building occupant is added to the difference between the representative value of the second predetermined temperature threshold and the value of the building's internal temperature.

[0015] Thus, the present invention takes into account the needs and feelings of the occupant.

[0016] According to another aspect of the invention, the control of the occultation device is carried out by determining a value of a variable called season determined by comparing the temperature forecast to a fourth and a fifth predetermined thresholds, the value of the variable called season being used to determine the value of a variable representative of a minimum temperature and the value of a variable representative of a maximum temperature.

[0017] Thus, the present invention promotes the supply of solar energy during part of the year, avoids solar inputs during periods when temperatures are high and is particularly adapted to periods when temperatures and sunshine are very fluctuating.

[0018] According to another aspect of the invention, the value of a criticality threshold is determined by comparing the internal temperature of the building to the value of the variable representing a minimum temperature and to the value of the variable representing the maximum temperature.

[0019] According to another aspect of the invention, the value of the criticality threshold and the value of the variable called season are used to determine the value of a first and a second threshold of energy supplied by solar radiation.

[0020] According to another aspect of the invention, the control of the shading device is carried out so that the shading device allows solar radiation to pass through a part of the surface of the opening, the part of the surface of the opening being determined by comparing the value of the energy supplied by the solar radiation during a predetermined period of less than 4 hours.

[0021] Thus, the present invention anticipates the amount of energy that will arrive through an opening surface and only controls the shading devices in strictly necessary scenarios, which makes it possible to improve visual and thermal comfort.

[0022] According to another aspect of the invention, the predetermined duration is equal to 3 hours. The invention also relates to computer programs stored on an information medium, said programs comprising instructions enabling the implementation of the processes described above, when loaded and executed by at least one computer system. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The features of the invention mentioned above, as well as others, will become clearer upon reading the following description of an exemplary embodiment, said description being made in relation to the accompanying drawings, among which: [ Fig. 1 ] represents a building in which the present invention is implemented; [ Fig. 2 ] represents a block diagram of a control device for at least one shading device for at least one opening according to the present invention; [ Fig. 3 ] represents a block diagram of an internet gateway used in the present invention; [ Fig. 4 ] represents an example of an algorithm executed by the gateway according to the present invention; [ Fig. 5 ] represents an example of an algorithm executed by the controller according to the present invention; [ Fig. 6 ] illustrates an example of a table of obtained weather forecasts; [ Fig. 7 ] illustrates the example of a table interpolated from the weather forecasts obtained; [ Fig. 8 ] illustrates an example of a table of solar radiation power predictions obtained according to the present invention. DETAILED DESCRIPTION OF IMPLEMENTATION METHODS

[0024] There Fig. 1 represents a building in which the present invention is implemented.

[0025] The building includes at least one room 10 having at least one opening 103 oriented in such a direction that solar radiation contributes to the heating of room 10.

[0026] The opening 103 can be covered by a covering device 101 such as, for example, a motorized roller shutter or a motorized blind.

[0027] Opening 103 is in a gable end of the building, for example and without limitation facing south, east or west.

[0028] Opening 103 can also be an opening in the roof of the building, for example and without limitation oriented to the south, east or west.

[0029] According to the present invention, a control device 100, or controller, drives at least one occultation device 101.

[0030] The controller 100 is connected to an internet gateway, a temperature sensor 106 of the room 10 or of the building, a clock 107, a parameter setting device 150, and at least one shading device 101.

[0031] Clock 107 is a clock capable of providing timestamp information to determine the time and day and can be integrated into controller 100.

[0032] Gateway 110 is a home gateway connected to an Internet-type network.

[0033] Via the internet, gateway 110 obtains weather forecasts to estimate the impact of weather conditions on the thermal comfort of building 10. More specifically, gateway 110 estimates the energy input from solar radiation, not the energy output. The results of the calculations and queries performed by gateway 110 are transferred to controller 100, for example, every hour.

[0034] The parameter setting 150 allows a building occupant to adjust a sensitivity parameter of the management algorithm of at least one shading device in order to choose a compromise between thermal comfort and visual comfort.

[0035] For example, 5 selection levels are offered to the occupant. A first level called "Very Low" sets a variable noted as Strength equal to the value 2, a second level called "Low" sets the variable noted as Strength equal to the value 1, a third level called "Moderate" sets the variable noted as Strength equal to the value 0, a fourth level called "High" sets the variable noted as Strength equal to the value -1 and a fifth level called "Very High" sets the variable noted as Strength equal to the value -2.

[0036] The Force variable allows, as will be described later, to adjust the maximum temperature threshold noted T_ext_threshold of the room during the day, to adjust the desired comfort threshold and to adjust two criticality thresholds noted MaxT and MinT.

[0037] The default setting is moderate, which corresponds to a "Strength" of 0. The "Moderate" mode represents a compromise between thermal and visual comfort. The solar optimization algorithm will attempt to avoid exceeding the desired thermal comfort threshold, which is, for example, 27°C.

[0038] If the occupant wants more light in the room, at the expense of thermal comfort, they can choose a heat protection sensitivity level of "low" or "very low". In this case, the thermal comfort threshold is set at 28°C for the "low" setting and 29°C for the "very low" setting (+2°C).

[0039] Conversely, if the occupant wants to keep the interior cool, they can choose the "very high" sensitivity setting, for example. Consequently, the algorithm is much more responsive and protective, keeping the temperature below 25°C whenever possible.

[0040] There Fig. 2 represents a block diagram of a control device for at least one occlusion device for at least one opening according to the present invention.

[0041] The controller 100 is adapted to perform, from one or more software modules, the steps of the algorithm as described with reference to the Fig. 5 .

[0042] The controller 100 includes a communication bus 201 to which are connected a processor 200, a non-volatile memory 202, a random access memory 203, optionally a radio interface 204 allowing communication with the parameter setting device 150 and the gateway 110, a control interface 206 allowing control of the occulting device 101, and a sensor interface 208 to which are connected the sensor 106 and the clock 107.

[0043] The non-volatile memory 202 stores the software module(s) implementing the invention, as well as the data enabling the implementation of the algorithm as described with reference to the Fig. 5 .

[0044] More generally, the programs according to the present invention are stored in a storage medium. This storage medium is readable by the microprocessor 200. This storage medium may or may not be integrated into the controller 100, and may be removable.

[0045] When the controller 100 is powered on, the software module(s) according to the present invention is or are transferred into the RAM 203 which then contains the executable code according to the present invention as well as the data necessary for the implementation of the invention.

[0046] Thus, all or part of the algorithm and steps described here can be implemented in software by executing a set of instructions using a programmable machine, such as a DSP (Digital Signal Processor), a microcontroller, or a processor. All or part of the algorithm and steps described here can also be implemented in hardware by a machine or component (a "chip"), such as an FPGA (Field-Programmable Gate Array) or an ASIC (Application-Specific Integrated Circuit). Therefore, the 100 controller includes electronic circuitry adapted and configured to implement the behaviors, algorithm, and steps described here.

[0047] There Fig. 3 represents a block diagram of an internet gateway used in the present invention.

[0048] Gateway 110 is adapted to perform, from one or more software modules, the steps of the algorithm as described with reference to the Fig. 4 .

[0049] Gateway 110 includes a communication bus 301 to which are connected a processor 300, a non-volatile memory 302, a random access memory 303, a radio interface 304 allowing communication with the controller 100 and a network interface 306 allowing access to an Internet-type network.

[0050] The non-volatile memory 302 stores the software module(s) implementing the invention, as well as the data enabling the implementation of the algorithm as described with reference to the Fig. 4 .

[0051] More generally, the programs according to the present invention are stored in a storage medium. This storage medium is readable by the microprocessor 200. This storage medium may or may not be integrated into the gateway 110, and may be removable.

[0052] When the gateway 110 is powered on, the software module(s) according to the present invention is or are transferred into the RAM 303 which then contains the executable code according to the present invention as well as the data necessary for the implementation of the invention.

[0053] Thus, all or part of the algorithms and steps described here can be implemented in software by executing a set of instructions using a programmable machine, such as a DSP (Digital Signal Processor), a microcontroller, or a processor. All or part of the algorithms and steps described here can also be implemented in hardware by a machine or component (a "chip"), such as an FPGA (Field-Programmable Gate Array) or an ASIC (Application-Specific Integrated Circuit). Therefore, Gateway 110 incorporates electronic circuitry adapted and configured to implement the behaviors, algorithms, and steps described here.

[0054] There Fig. 4 represents an example of an algorithm executed by the gateway according to the present invention.

[0055] The present algorithm is described in an example in which it is executed by the processor 300.

[0056] At step E400, processor 300 obtains weather forecasts via network interface 306. Several weather services are available that provide forecasts and current weather conditions, as well as cloud cover for a given location. Examples of weather forecast services include Openweather, Meteoblue, Green Forecast, and Steadysun. The present invention is described hereafter in the context of using the Openweather service. This service provides the outside air temperature (current value and forecast) and cloud cover (current value and forecast).

[0057] There Fig. 6 illustrates an example of a table of obtained weather forecasts.

[0058] In the Fig. 6 The 300 processor performs a query to obtain cloud cover and outside temperature forecasts for the next 5 days, with, for example, a 3-hour time step. This data is stored in the table of the Fig. 6 .

[0059] In the next step, E401, the 300 processor interpolates the weather forecast to obtain, for example, temperature and cloud cover values ​​at an hourly time step (e.g., for each hour), for example, by performing linear approximations / interpolations between two values. An example of the resulting table is given with reference to the Fig. 7 .

[0060] There Fig. 7 illustrates the example of a table interpolated from the weather forecasts obtained.

[0061] In the next step E402, the processor 300 calculates a value of the power of the solar radiation under clear skies, that is to say a value of the power of the theoretical solar radiation without cloud cover.

[0062] The value of the power of solar radiation under a clear sky is obtained for example by executing the algorithm as described in the publication by Christelle Rigollier, Olivier Bauer, Lucien Wald, On the clear sky model of the ESRA - European Solar Radiation Atlas - with respect to the heliosat method, Solar Energy, Volume 68, Issue 1, 2000, Pages 33-48, ISSN 0038-092X, .

[0063] This model provides the horizontal irradiance vectors as a function of time and building location obtained by gateway 110. It also uses the binding turbidity factor for the air mass disclosed in the aforementioned publication.

[0064] From a universal time vector, the longitude of the building (in radians and positive to the East), the latitude of the building (in radians and positive to the North), the altitude of the building, (in meters relative to the sea), the processor 300 obtains the direct horizontal irradiance, in W / m 2< Bh_ ClearSky, the diffuse horizontal irradiance, in W / m 2< Dh_ ClearSky and the global horizontal irradiance, in W / m 2< , Gh_ ClearSky.

[0065] At step E403, the processor 300 takes into account the different cloud cover values ​​included in the table interpolated at step E401. Thus, for each hour, the processor 300 evaluates a value for the horizontal solar radiation power Gh from the cloud cover C according to the following formulas: If C=100%, Gh = Dh _ CielClair ; If C=0%, Gh = Dh Ciel_Clair + Bh Ciel _ Clair If C=X%, Gh=DhClear_Sky+100−X / 100xBhClear_Sky

[0066] In a second step, the 300 processor uses, for each hour, the evaluation of the horizontal solar radiation power Gh to refine the estimation of the diffuse component. Indeed, for the transposition of solar radiation power onto surfaces other than horizontal, it is particularly useful to know the value of the total horizontal solar radiation power and the proportion of direct and diffuse solar radiation power.

[0067] To achieve this, the 300 processor uses a model called Erbs as described in the publication by FJ Batlles, MA Rubio, J. Tovar, FJ Olmo, L. Alados-Arboledas, Empirical modeling of hourly direct irradiance by means of hourly global irradiance, Energy, Volume 25, Issue 7, 2000, Pages 675-688, ISSN 0360-5442, which estimates the value of the power of diffuse horizontal solar radiation from a sky clarity index denoted Kt as described in the publication by Duffie, JA and Beckman, WA (2013) Solar Engineering of Thermal Process. 4th Edition, John Wiley & Sons, Inc., Hoboken.

[0068] Thus, the 300 processor obtains a value of the energy supplied by diffuse horizontal solar radiation Dh_Erbs for each hour.

[0069] At step E404, processor 300 projects the value of the solar radiation power onto a facade of building 10.

[0070] In other words, the 300 processor determines a direct, diffuse and global incident irradiance on a plane as a function of time (UT) and for the location of the building defined by its longitude, latitude and altitude using a model such as described in the publication by Richard Perez, Robert Seals, Pierre Ineichen, Ronald Stewart, David Menicucci, A new simplified version of the perez diffuse irradiance model for tilted surfaces, Solar Energy, Volume 39, Issue 3, 1987, Pages 221-231, ISSN 0038-092X,

[0071] The 300 processor thus determines a direct irradiance BI on the front, a diffuse irradiance DI on the front and a global irradiance on the GI plane on the front.

[0072] The 300 processor thus obtains, for each hour, a forecast of the solar radiation power as shown in Fig. 8 .

[0073] There Fig. 8 illustrates an example of a table of predicted values ​​of the power of incident solar radiation obtained according to the present invention.

[0074] At step E405, the 300 processor determines the maximum temperature value for the next 24 hours from the interpolated table.

[0075] This algorithm is, for example, executed every hour and the data obtained is transferred to controller 100.

[0076] There Fig. 5 represents an example of an algorithm executed by the controller according to the present invention.

[0077] The present algorithm is described in an example in which it is executed by processor 200.

[0078] Steps E500 to E502 are decision steps regarding whether or not to activate at least one shading device for a given day. Steps E500 to E502 are preferentially executed at sunrise, the time of which is obtained from clock 107. Step E503 is preferentially executed at sunrise, and step E504 is preferentially executed at sunrise and whenever the occupant changes the value of a variable called Force. The remaining steps of the algorithm are executed hourly or upon receipt of an update to the indoor temperature when the activation of at least one shading device for the day is decided.

[0079] At step E500, processor 200 obtains an indoor temperature measurement Tint of building 10 from temperature sensor 106 and an outdoor temperature measurement from data obtained from gateway 110.

[0080] At step E501, processor 200 obtains the value of the Force variable defined by the occupant using parameterization device 150.

[0081] At step E502, processor 200 determines whether solar protection using shading devices should be implemented or not. To do this, processor 200 checks if the maximum temperature included in the table of the Fig. 6 is less than the sum of a first predetermined threshold T_ext_threshold and the value of the variable Force.

[0082] If so, processor 200 interrupts the execution of the present algorithm.

[0083] If not, processor 200 checks whether the internal temperature function Tint is greater than or equal to the sum of a second predetermined threshold T_int_threshold and the value of the variable Force. If so, processor 200 proceeds to step E503.

[0084] If not, processor 200 checks whether the ratio of the total sum of solar radiation power values ​​for each hour of the day, denoted E_solar_day, to the sum of the second predetermined threshold T_int_threshold and the value of the variable Force minus the measured indoor temperature Tint, is greater than or equal to a third decision threshold CT_threshold. If so, processor 200 proceeds to step E503. If not, processor 200 interrupts the execution of this algorithm.

[0085] The third decision threshold CT_threshold is for example equal to 850, the second predetermined threshold T_int_threshold is equal to 27 degrees Celsius and the third predetermined threshold T_ext_threshold is equal to 23.

[0086] At step E503, processor 200 determines the value of a variable called season from the value of the external temperature T_ext and a set of predetermined thresholds.

[0087] If the outside temperature (T_ext) is below a predetermined threshold (winter_threshold), the value of the season variable is set to 0. If the outside temperature (T_ext) is above a predetermined threshold (summer_threshold), the value of the season variable is set to 1. If the outside temperature (T_ext) is between the fourth and fifth predetermined thresholds, the value of the season variable is set to 0.5 (i.e., mid-season). For example, if winter_threshold is 10 degrees Celsius and summer_threshold is 16 degrees Celsius.

[0088] At step E504, processor 200 determines the value of a variable representing a minimum temperature MinT and the value of a variable representing a maximum temperature MaxT as a function of the value of the season variable.

[0089] If the season variable is equal to 0, processor 200 sets the MinT variable value to 22 degrees Celsius plus the value of the Force variable value, and sets the MaxT variable value to 24 degrees Celsius plus the value of the Force variable value. If the season variable is equal to 0.5 or 1, processor 200 sets the MinT variable value to 23 degrees Celsius plus the value of the Force variable value, and sets the MaxT variable value to 25 degrees Celsius plus the value of the Force variable value.

[0090] In the next step E506, processor 200 determines a criticality level value. If the indoor temperature Tint value of building 10 is lower than the value of the variable MinT, processor 200 sets the criticality level value to 1.

[0091] If the value of the indoor temperature Tint of building 10 is greater than or equal to the value of the variable MinT and less than the value of the variable MaxT, the processor sets the criticality level value to 2.

[0092] If the value of the indoor temperature Tint of building 10 is greater than or equal to the value of the variable MaxT, the processor sets the criticality level value to 3.

[0093] At this same stage, the processor 200 determines the value of a first threshold of energy provided by solar radiation SE1 and the value of a second threshold of energy provided by solar radiation SE2 as a function of the values ​​of the variables season and criticality.

[0094] If the season variable is equal to 0 and the criticality level is equal to 1, the processor sets the value of the first threshold of energy provided by solar radiation SE1 to the value 5000 and sets the value of the second threshold of energy provided by solar radiation SE2 to the value 5000.

[0095] If the season variable is equal to 0 and the criticality level is equal to 2, the processor sets the value of the first threshold of energy provided by solar radiation SE1 to the value 1200 and sets the value of the second threshold of energy provided by solar radiation SE2 to the value 1500.

[0096] If the season variable is equal to 0 and the criticality level is equal to 3, the processor sets the value of the first threshold of energy provided by solar radiation SE1 to the value 900 and sets the value of the second threshold of energy provided by solar radiation SE2 to the value 900.

[0097] If the season variable is equal to 0.5 or 1 and the criticality level is equal to 1, the processor sets the value of the first threshold of energy provided by solar radiation SE1 to the value 5000 and sets the value of the second threshold of energy provided by solar radiation SE2 to the value 5000.

[0098] If the season variable is equal to 0.5 or 1 and the criticality level is equal to 2, the processor sets the value of the first threshold of energy provided by solar radiation SE1 to the value 900 and sets the value of the second threshold of energy provided by solar radiation SE2 to the value 1200.

[0099] If the season variable is equal to 0.5 or 1 and the criticality level is equal to 3, the processor sets the value of the first threshold of energy provided by solar radiation SE1 to the value 750 and sets the value of the second threshold of energy provided by solar radiation SE2 to the value 750.

[0100] In the next step E507, the processor 200 determines the opening level of the occultation devices.

[0101] To do this, processor 200 checks if the sum of the power input from solar radiation over a predetermined period of less than 4 hours is less than the value of the variable SE1. If so, processor 200 sets the value of a variable labeled decision to 0.

[0102] Processor 200 checks if the sum of the power input from solar radiation over a predetermined period of less than 4 hours is greater than the value of the variable SE2. If so, processor 200 sets the value of the decision variable to 1.

[0103] The processor 200 sets the value of the decision variable to the value 0.5 if the sum of the power input from solar radiation during the predetermined duration of less than 4 hours is between SE1 and SE2.

[0104] The predetermined duration is, for example, equal to 3 hours.

[0105] For the decision value of 0, the processor 200 commands the occultation device 101 to allow solar radiation to pass through the entire surface of the opening.

[0106] For the decision value of 0.5, the processor 200 commands the occultation device 101 to allow solar radiation to pass through 60% of the surface of the opening.

[0107] For the decision value of 1, the processor 200 commands the occultation device 101 to allow solar radiation to pass through 25% of the surface of the opening.

[0108] Of course, the present invention is by no means limited to the embodiments described here, but on the contrary encompasses any variant within the reach of a person skilled in the art as long as it is covered by the scope of the claims.

Claims

1. Method for controlling at least one motorised roller blind (101) of at least one opening in a room (10) of a building, wherein the method comprises the steps of: - obtaining (E400, E401, E402, E403, E404), from a server of a telecommunication network, meteorological forecasts comprising temperature forecasts and information representing forecasts of values of the solar radiation power for at least one day, - obtaining (E500) the interior temperature of the building, - comparing (E502) the maximum temperature in the forecasts for the day with a value representing a first predetermined temperature threshold, - comparing (E502) the interior temperature of the building with a value representing a second predetermined temperature threshold, - calculating (E502) a ratio of the value of the energy provided by the solar radiation for the day to the difference between the value representing the second predetermined temperature threshold and the value of the interior temperature of the building, - comparing (E502) the calculated ratio with a decision threshold, - if (E507) the maximum temperature in the forecasts for the day is higher than or equal to the value representing the first predetermined temperature threshold and if the interior temperature of the building is higher than or equal to the value representing the second predetermined temperature threshold, controlling the shutting-off device, - if (E507) the maximum temperature in the forecasts for the day is higher than or equal to the value representing the first predetermined temperature threshold and if the interior temperature of the building is lower than the value representing the second predetermined temperature threshold and if the calculated ratio is higher than or equal to the decision threshold, operating the shutting-off device.

2. Method according to claim 1, characterised in that the values of the solar radiation power are obtained from a transposition of cloud-cover predictions obtained by means of the server.

3. Method according to claim 1 or 2, characterised in that the method furthermore comprises the steps of: - not controlling, for the entire day, the shutting-off device if the maximum temperature in the forecasts for the day is lower than the value representing the first predetermined pressure threshold, - not controlling, for the entire day, the shutting-off device if the maximum temperature in the forecasts for the day is higher than or equal to the value representing the first predetermined temperature threshold and if the interior temperature of the building is lower than the value representing the second predetermined temperature threshold and if the calculated ratio is lower than the decision threshold.

4. Method according to any one of claims 1 to 3, characterised in that the value representing the first predetermined threshold is equal to a predetermined temperature threshold with the addition of a value defined by the occupier of the building.

5. Method according to claim 4, characterised in that the value defined by the occupier of the building is added to the difference between the value represented the second predetermined temperature threshold and the value of the interior temperature of the building.

6. Method according to any one of claims 1 to 5, characterised in that shutting-off device is controlled by determining a value of a so-called seasonal variable determined by comparing the temperature forecast with predetermined fourth and fifth thresholds, the value of the so-called seasonal variable being used to determine the value of a variable representing a minimum temperature and the value of a variable representing a maximum temperature.

7. Method according to claim 6, characterised in that the value of a criticality threshold is determined by comparing the interior temperature of the building with the value of the variable representing a minimum temperature and with the value of the variable representing the maximum temperature.

8. Method according to claim 7, characterised in that the value of the criticality threshold and the value of the so-called seasonal variable are used to determine the value of first and second thresholds of energy provided by solar radiation.

9. Method according to claim 8, characterised in that the shutting-off device is controlled so that the shutting-off device allows solar radiation to pass through a proportion of the surface of the opening, the proportion of the surface of the opening being determined by comparing the value of the energy provided by solar radiation during a predetermined period of less than 4 hours.

10. Method according to claim 9, characterised in that the predetermined period is equal to 3 hours.

11. System for controlling at least one motorised roller shutter (101) of at least one opening in a room (10) of a building, wherein the system comprises: - means for obtaining, from a server of a telecommunication network, meteorological forecasts comprising temperature forecasts and information representing forecasts of values of the solar radiation power for at least one day, - means for obtaining the interior temperature of the building, - means for comparing the maximum temperature in the forecasts for the day with a value representing a first predetermined temperature threshold, - means for comparing the interior temperature of the building with a value representing a second predetermined temperature threshold, - means for calculating a ratio of the value of the energy provided by the solar radiation for the day to the difference between the value representing the second predetermined temperature threshold and the value of the interior temperature of the building, - means for comparing the calculated ratio with a decision threshold, - means for controlling the shutting-off device if the maximum temperature in the forecasts for the day is higher than or equal to the value representing the first predetermined temperature threshold and if the interior temperature of the building is higher than or equal to the value representing the second predetermined temperature threshold, - means for controlling the shutting-off device if the maximum temperature in the forecasts for the day is higher than or equal to the value representing the first predetermined temperature threshold and if the interior temperature of the building is lower than the value representing the second predetermined temperature threshold and if the calculated ratio is higher than or equal to the decision threshold.