Control, system and method of a closed space

Abstract

A method of control of an indoor space, in particular of parameters, preferably of well-being, of the indoor space; wherein the control method comprises the following steps of : determining, in particular calculating and / or measuring, at least three first parameters, preferably at least four or five first parameters, selected from the group of parameters : temperature; humidity; relative air speed; heat insulation of persons and / or current month; metabolic rate of persons; noise; carbon dioxide; carbon monoxide; volatile organic compounds (VOC); airborne particulate matter of the PM1 type; airborne particulate matter of the PM2. 5 type, airborne particulate matter of the PM10 type; - calculating an index, preferably related to well-being in said space, using the at least three parameters, preferably the at least four or five parameters; - comparing said index, preferably related to well-being in said space, to at least a threshold value range; if said index is outside the at least one threshold value range, defining how at least one second parameter must vary in order to bring said index within the at least one threshold range; wherein said second parameter is selected from the group of parameters : air speed, temperature, humidity, noise, carbon dioxide, carbon monoxide, volatile organic compounds (VOC); airborne particulate matter of the PM1 type, airborne particulate matter of the PM2. 5 type, airborne particulate matter of the PM10 type; and defining an action to be performed to achieve the defined change of said at least one second parameter.

Description

[0001] "CONTROL SYSTEM AND METHOD OF A CLOSED SPACE"

[0002] Cross-Reference to Related Patent Applications

[0003] This patent application claims priority of the Italian patent application No. 102024000014053 filed on June 19, 2024, the content of which is incorporated by reference herein.

[0004] Technical Sector

[0005] The present invention refers to a system and method of control of an indoor space.

[0006] In particular, the present invention refers to a system and a method of control of parameters of an indoor space in order to increase the performance, comfort, healthiness and more generally the level of well-being of the occupants, preferably persons, of said indoor space. Wherein indoor space means a space delimited by walls, for example a space inside a building, which preferably comprises fixtures or doors.

[0007] State of the Art

[0008] As is known, the systems of control of the parameters of an indoor space usually adjust the temperature or preferably the humidity so that it falls within certain ranges.

[0009] A drawback of the current systems is that they do not always manage to achieve a high degree of well-being. In many cases, the occupants present in said indoor spaces are not perfectly comfortable due to a series of factors that depend in part, but not exclusively, on the temperature and / or humidity. Due to this, the performance of the occupants is also reduced, for example the cognitive and / or work and / or study efficiency is decreased. In other cases, if the space is a bedroom, the possibility of having a high sleep quality decreases. In some other cases, however, the comfort and / or healthiness of said spaces is reduced.

[0010] Summary of the Invention

[0011] An aim of the present invention is to realise a method of control of an indoor space, in particular of parameters, preferably of well-being, of the indoor space, which reduces or solves at least one of the drawbacks highlighted above.

[0012] According to the present invention, there is provided a method of control of an indoor space according to one of claims 1 to 11.

[0013] Thanks to the present invention, it is possible to increase the degree of well-being of an indoor space significantly with respect to the known art. In particular, thanks to the present invention it is possible to increase different aspects concerning people's well-being such as environmental comfort, cognitive efficiency, air quality, sleep quality.

[0014] Another aim of the present invention is to provide a system of control of an indoor space that at least reduces at least one of the drawbacks of the prior art.

[0015] According to the present invention there is provided a system of control, in particular of parameters, preferably of well-being, of the indoor space; wherein the system of control comprises a control unit, at least one sensor and preferably a screen for implementing the method of any of claims 1 to 11.

[0016] Another aim of the present invention is to provide an indoor space that at least reduces at least one of the drawbacks of the prior art.

[0017] According to the present invention there is provided an indoor space comprising the control system of one of claims

[0018] 12 or 13.

[0019] Another aim of the present invention is to provide a building that at least reduces at least one of the drawbacks of the prior art.

[0020] According to the present invention there is provided a building comprising one or more indoor spaces and comprising one or more of the control systems of one of claims 12 to

[0021] 13.

[0022] Brief Description of the Drawings

[0023] Further characteristics and advantages of the present invention are defined in the appended dependent claims and will appear clear from the following description of a nonlimiting example of implementation, with reference to the attached figures, wherein:

[0024] - figure 1 is a schematic sectional view of a building comprising indoor spaces and a system of control of said indoor spaces; and

[0025] - figure 2 is a block diagram of the system of control of said indoor spaces.

[0026] Detailed Description of the Invention

[0027] With reference to figure 1, reference number 1 indicates a building in a schematic way which, in turn, comprises a plurality of indoor spaces 2.

[0028] In the following text, preferably but not limited to the present invention, indoor space is understood as a space delimited by walls, for example a space inside a building, and in which said space may preferably comprise fixtures and / or doors.

[0029] The building 1 is provided with at least one control system 10 for at least one of the indoor spaces 2, in particular for controlling parameters, preferably of wellbeing, of said at least indoor space 2.

[0030] In other words, the building 1 may for example comprise a control system 10 for each indoor space 2 or a control system 10 for all indoor spaces 2 or a control system 10 for a plurality of indoor spaces 2 and at least another control system 10 for at least one other plurality of indoor spaces 2.

[0031] In an alternative embodiment, the control system 10 is included by the indoor space 2 itself and not by the building 1.

[0032] The control system 10 comprises a control unit 11, wherein the control unit 11 comprises an electronic processing unit, for example a processor or a CPU or a GPU and on which software runs that is configured to implement the functions illustrated below.

[0033] In an optional and non-limiting embodiment of the present invention, the control system 10 comprises a screen 12.

[0034] The control system 10 further includes at least one of the following devices: air conditioner 20 to vary one or more of the following parameters: temperature, ventilation, humidity; a controlled mechanical ventilation system 21 that exchanges air with an external environment; active noise cancellation system 22; air purifier 23 for reducing one or more of the following parameters: volatile organic compounds (VOC), airborne particulate matter of the PM1 type, airborne particulate matter of the PM2.5 type, airborne particulate matter of the PM10 type, carbon monoxide CO.

[0035] In an alternative embodiment, one or more of the devices indicated with the reference numbers 20 to 23 mentioned above can be integrated into a single device performing the functions of one or more of said devices, as well as each of the devices indicated with the reference numbers 20 to 23 can be divided into several devices in which each of them performs a part of the functions of said each device.

[0036] The control system comprises at least one of the following sensors: temperature sensor 31; humidity sensor 32; relative air speed sensor 33; noise sensor 34; carbon dioxide sensor 35; carbon monoxide sensor 36; volatile organic compound sensor 37; airborne particulate matter sensor of the PM1 type 38; airborne particulate matter sensor 39 of the PM2.5 type; airborne particulate matter sensor of the PM10 type 40.

[0037] In one embodiment, one or more of the aforementioned sensors may be omitted.

[0038] In general, the control system 10, preferably the processing unit 11, is configured to determine, preferably calculate and / or measure, at least three first parameters, preferably at least four or five first parameters, selected from the group of parameters: temperature; humidity; relative air speed; heat insulation of persons and / or current month; metabolic rate of persons; noise; carbon dioxide CO2; carbon monoxide CO; volatile organic compounds VOC; airborne particulate matter of the PM1 type; airborne particulate matter of the PM2.5 type; airborne particulate matter of the PM10 type. In one embodiment, the parameter of the relative air speed is set to a constant value defined a priori.

[0039] In one embodiment, the parameter of heat insulation of persons is defined based on the current date and / or the current month and / or the current season.

[0040] In one embodiment, the parameter of the metabolic rate is selected from two values.

[0041] The control system 10, preferably the processing unit 11, is configured to calculate an index, preferably correlated to the well-being in said space, using the at least three parameters mentioned above, preferably the at least four or five parameters.

[0042] The control system 10, preferably the processing unit 11, is configured to compare said index, preferably correlated to the well-being in said space, to at least one threshold value range; and in case said index is outside the at least one threshold value range, define how at least one second parameter should vary to bring said index within the at least one threshold range.

[0043] Said second parameter is selected in the group of parameters: air speed, temperature, humidity, noise, carbon dioxide CO2, carbon monoxide CO, volatile organic compounds VOC, airborne particulate matter of the PM1 type, airborne particulate matter of the PM2.5 type, airborne particulate matter of the PM10 type; and defining an action to be performed to achieve the defined change of said at least one second parameter.

[0044] The action to be performed is chosen from the following actions: operating the air conditioner 20 to vary one or more of the following parameters: temperature, ventilation, humidity; operating the controlled mechanical ventilation system 21 that exchanges air with an external environment; activating active noise cancellation system 22; activating the air purifiers 23; preferably the action is performed by the control unit 11 that controls one or more of said devices .

[0045] In an optional and non-limiting embodiment of the present invention, the control system 10 is configured to display on the screen 12 to a user the action to be performed wherein the action to be performed is performed by the user.

[0046] In more detail, the control system 10 is configured to perform the defined action and / or to show on the screen 12 the action to be performed to a user who preferably then performs it.

[0047] In a preferred but non-limiting embodiment of the present invention, said index, defined by the control system 10, is correlated to environmental comfort and the first parameters are: temperature, humidity, relative air velocity, heat insulation of persons and / or current month, preferably relative air speed and metabolic rate of persons. Accordingly, in this embodiment, the control system 10 comprises: the temperature sensor 31 and the humidity sensor 32. In a non-limiting embodiment of the present invention, the control system 10 additionally comprises also the air speed sensor 33. In one embodiment, the minimum number of first parameters for calculating the index correlated to environmental comfort is three and any one or more of said first parameters and any related sensor may be omitted. In this embodiment, the second parameters on which the control system 10 is configured to act are preferably two: temperature and humidity based on which of the first parameters is outside the range of the threshold values. In one embodiment one of the second parameters may be omitted. In this embodiment, the control system 10 comprises as a device an air conditioner 20 to vary temperature and / or humidity. The control system 10 is configured to perform the action chosen from the following actions: operating the air conditioner 20 to vary temperature and / or humidity based on which of the second parameters it is wished to change. In this embodiment, as an optional and non-mandatory added feature for the implementation of the present invention, the control system 10 is configured to classify the calculated index value into one of at least three different classes, preferably five different classes, from a low grade to a high grade and select one or more actions to be performed to obtain an index value belonging to a higher class preferably up to the high grade class, preferably generating at most one action at a time for one and / or the other of the second parameters. In particular, as a further optional feature, the control system 10 is configured to minimize the number of actions to be performed to reach the high grade class and / or the deviation of the values from the current parameter values.

[0048] In a non-limiting embodiment of the present invention, said index correlated to environmental comfort is calculated by the following formula:

[0049] ACI = valuel if 20 < H < 8 pmv+ 3

[0050] 6 valuel= 100

[0051] 0.055 if instead (0 < H < 20)or(80 < H < 100) where-.

[0052] ACI= environmentalcomfortindex

[0053] H = relativehumidity (%) pmv = expectedaveragevalue(from themodelPMV — PPD)

[0054] Air temperature and relative humidity are two variables that influence each other. For this reason, the PMV-PPD model [Fanger 0. Thermal Comfort. Danish Technical Press. Copenhagen, 1970] has been chosen, which predicts the perceived thermal comfort on a scale of values, which are then normalized, ranging from -3 ("cold") to +3 ("warm") passing through 0 ("neutral") [ANSI / ASHRAE, Standards 55- 2023. Thermal Environmental Conditions for Human Occupancy, 2023 - Tartarini F. & Schiavon S. Pythermalcomfort: A Python package for thermal comfort research, 2020. SoftwareX, 12, 100578] . In the case of the ACI environmental comfort index, the model takes into account the following parameters and respective values: air temperature (°C); relative humidity (%); relative air speed (m / s) which, in one embodiment, is set at a fixed value equal to 0.1; metabolic rate of persons, which in one embodiment is set at a value equal to 1.2; heat insulation of persons (clo) depending on the month of the year as clothing changes.

[0055] In another embodiment, said index, defined by the control system 10, is correlated to cognitive efficiency. The control system 10 is configured to define the index related to cognitive efficiency based on the values of the following parameters: temperature; humidity; noise; carbon dioxide; heat insulation of persons and / or current month, preferably relative air speed and metabolic rate of persons. In this embodiment, the control system 10 comprises as sensors: temperature sensor, humidity sensor, noise sensor, carbon dioxide sensor. In a non-limiting embodiment of the present invention, the control system 10 additionally comprises also the air speed sensor 33. In one embodiment, the minimum number of first parameters for calculating the index related to cognitive efficiency is three or four and any of the first parameters indicated above and any relative sensor, if any, may be omitted. In this embodiment, the second parameters are: temperature, humidity, noise and carbon dioxide. The control system 10 comprises as devices: the air conditioner 20 to change temperature and / or humidity, a mechanical ventilation system 21 to lower the amount of carbon dioxide, an active noise cancellation system 22. In one embodiment, the minimum number of second parameters is one and one or more of the second parameters indicated above and the relative device may be omitted. In this embodiment, the control system 10 is configured to select the following actions to be performed: operating the air conditioner 20 to vary temperature and / or humidity, and / or operating the controlled mechanical ventilation system 21 that exchanges air with an external environment, and / or activating active noise cancellation system 22.As an optional and non-limiting feature of the present embodiment, the control system 10 is configured to classify the calculated value of the index related to cognitive efficiency, into one of at least three different classes, preferably five different classes, from a low grade to a high grade and select at least one action to be performed to obtain an index value belonging to a higher class preferably up to the high grade class, preferably minimizing the number of actions to be performed to reach the high grade class and / or the deviation of the values from the values of the current parameters, in particular at most one action at a time is defined related to the second parameters: temperature and / or humidity and / or noise and / or carbon dioxide.

[0056] In a non-limiting embodiment of the present invention, said index related to cognitive efficiency is calculated by the following formula: if 20< H < 80

[0057] P1= 100 if instead (0< H < 20)or(80< H < 100) regarding thevalueofP2if C02 < 600

[0058] P2= 100 if instead600 < C02< 5300 P2= (1.499697- 0.020533 100 otherwise

[0059] ^2 = 0 regarding thevalueofP3ifR< 35

[0060] P3= 100 if instead 35 < R < 97

[0061] P3= (-0.042628*R + 0.418010*R05)*100 otherwise

[0062] P3 = 0 where:

[0063] Air temperature and relative humidity are two variables that influence each other. For this reason, the PMV-PPD model [Fanger 0. Thermal Comfort. Danish Technical Press. Copenhagen, 1970] has been chosen, which predicts the perceived thermal comfort on a scale of values, which are then normalized, ranging from -3 ("cold") to +3 ("warm") passing through 0 ("neutral") [ANSI / ASHRAE, Standards 55- 2023. Thermal Environmental Conditions for Human Occupancy, 2023 - Tartarini F. & Schiavon S. Pythermalcomfort: A Python package for thermal comfort research, 2020. SoftwareX, 12, 100578]. In the case of the EIB, the model takes into account the following parameters and respective values: air temperature (°C); relative humidity (%); relative air velocity (m / s), which in one embodiment is set equal to a value of 0.1; metabolic rate of persons (met), which in one embodiment is set equal to a value of 1.2; heat insulation of persons (clo) depending on the month of the year as clothing changes.

[0064] In another embodiment, said index is related to air quality and / or healthiness and / or breathability. In this embodiment, the control system 10 is configured to determine the following first parameters: volatile organic compounds VOC, airborne particulate matter of the PM1 type, airborne particulate matter of the PM2.5 type, airborne particulate matter of the PM10 type, carbon dioxide CO2, carbon monoxide CO. In this embodiment, the control system 10 comprises as sensors the following sensors: volatile organic compound sensor 37, airborne particulate matter of the PM1 type 38, airborne particulate matter of the PM2.5 type 39, airborne particulate matter of the PM10 type 40, carbon dioxide sensor 35, carbon monoxide sensor 36. In such an embodiment, the minimum number of first parameters is three, preferably four or five, consequently any one or more of the first parameters and any related sensor may be omitted. In this embodiment, the control system 10 is configured to act on one or more of the second parameters: volatile organic compounds VOC, and / or airborne particulate matter of the PM1 type, and / or airborne particulate matter of the PM2.5 type, and / or airborne particulate matter of the PM10 type, and / or carbon dioxide CO2, and / or carbon monoxide CO. In this embodiment, the control system 10 comprises the following devices: mechanical ventilation system 21, and / or air purifiers 23. The control system 10 selects the action to be performed from the following: operating the controlled mechanical ventilation system 21 that exchanges air with an external environment, and / or operating the air purifier 23. As an optional feature of this embodiment, the control system 10 is configured to classify the calculated value of the index related to the quality and / or healthiness and / or breathability of air, into one of at least three, four or five different classes, from a low grade to a high grade and select at least one action to be taken to obtain an index class belonging to a higher class preferably up to the high grade class, preferably minimizing the number of actions to be performed to reach the high grade class and / or the deviation of the values from the values of the current parameters. Preferably the control system 10 defines at most one action at a time for the second parameters: volatile organic compounds VOC, and / or airborne particulate matter of the PM1 type, and / or airborne particulate matter of the PM2.5 type, and / or airborne particulate matter of the PM10 type, and / or carbon dioxide CO2, and / or carbon monoxide CO.

[0065] In a non-limiting embodiment of the present invention, said air quality index is calculated by the following formula: p4* 1.5 * (Ps+pf+p7)*P8*P9 regarding thevalueof P4if C02 < 600

[0066] P4= 100 if instead 600 < CO2 < 5300

[0067] P4= (1.499697- 0.020533 100 otherwise

[0068] P4= 0;

[0069] PM1

[0070] P5= 0.98 o.85*100

[0071] PM2.5

[0072] P6= 0.980.85 *100

[0073] PM10

[0074] P7= 0.981.85 *100 regarding thevalueof PQ if VOC < 40

[0075] P8= 0 otherwise

[0076] VOc

[0077] P8= 0.98o.i8*100 regarding thevalueof Pg if CO < 50

[0078] P9= -1.92427999*CO + 100 otherwise

[0079] P9= 0 where-.

[0080] AQI = airquality index

[0081] COZ = carbon dioxide(ppm) PM1 = airborneparticulatematterof thetypePM1(pg / m3)

[0082] PM2.S= airborneparticulatematterof thetypePM2.S(pg / m3)

[0083] PMW = airborneparticulatematterof thetypePMW (pg / m3)

[0084] CO = carbonmonoxide(ppm)

[0085] VOC = volatileorganiccompounds(ppm)

[0086] In one embodiment of the present invention, said index is related to sleep quality. In this embodiment, the control system 10 is configured to define the following first parameters: temperature; humidity; heat insulation of persons and / or current month; noise; carbon dioxide; preferably relative air speed and metabolic rate of persons. In this embodiment, the control system 10 comprises the following sensors: temperature sensor 31, humidity sensor 32, noise sensor 34, carbon dioxide sensor 35. In this embodiment, the minimum number of first parameters defined by the control system 10 is three or four or five, consequently one or more of the first parameters and any relative sensor may be omitted. In this embodiment, the control system 10 comprises as devices: the air conditioner 20 to vary temperature and / or humidity; and / or the controlled mechanical ventilation system 21 that exchanges air with an external environment to decrease carbon dioxide; and / or the active noise cancellation system 22. In this embodiment, the action to be performed is chosen from the following actions: operating the air conditioner 20 to vary temperature and / or humidity; and / or operating the controlled mechanical ventilation system 21 that exchanges air with an external environment; and / or the active noise cancellation system 22. In this embodiment, the control system 10 is configured to classify the calculated value of the index related to sleep quality, into one of at least three or four or five different classes, from a low grade to a high grade; and select at least one action to be taken to obtain an index value belonging to a higher class preferably up to the high grade class, preferably minimizing the number of actions to be performed to reach the high grade class and / or the deviation of the values from the values of the current parameters. As an optional feature, the control system 10 is configured to define at most one action at a time for each of the second parameters: carbon dioxide, and / or noise, and / or temperature, and / or humidity.

[0087] In a non-limiting embodiment of the present invention, said sleep quality index is calculated by the following formula:

[0088] P10*P±± *P±2

[0089] SQI = *

[0090] * 104regarding thevalueof P±Q if 20 <H <80 pmv + 3

[0091] P10= 100 . 6

[0092] 0.055 if instead (80 < H < 100)or(0 < H < 20) if C02 < 500

[0093] PH = 100 otherwise

[0094] PH = 100- 3.8*(CO2- 5OO)0366regarding thevalueofP±2 ifR< 35

[0095] P12= 100 otherwise p12= -0.07143*P2+ 4.957*R + 11 where-.

[0096] Air temperature and relative humidity are two variables that influence each other. For this reason, the PMV-PPD model [Fanger 0. Thermal Comfort. Danish Technical Press. Copenhagen, 1970] has been chosen, which predicts the perceived thermal comfort on a scale of values, which are then normalized, ranging from -3 ("cold") to +3 ("warm") passing through 0 ("neutral") [ANSI / ASHRAE, Standards 55- 2023.Thermal Environmental Conditions for Human Occupancy, 2023 - Tartarini F. & Schiavon S. Pythermalcomfort: A Python package for thermal comfort research, 2020. SoftwareX, 12, 100578]. In the case of SQI, the model takes into account the following parameters and respective values: air temperature (°C); relative humidity (%); relative air speed (m / s), which in one embodiment is set equal to a value of 0.08; metabolic rate of persons (met), which in one embodiment is set equal to a value of 0.8; heat insulation of persons (clo) depending on the month of the year as the sum between the heat insulation of the pyjama garment (clo pajama) and the heat insulation of the bed cover (clo coverage).

Claims

CLAIMS1. A method of control of an indoor space, in particular of parameters, preferably of well-being, of the indoor space; wherein the control method comprises the following steps of: determining, and in particular calculating and / or measuring, at least three first parameters, preferably at least four or five first parameters, selected from the group of parameters comprising: temperature; humidity; air relative speed; thermal insulation of persons and / or current month; metabolic rate of persons; noise; carbon dioxide (CO2); carbon monoxide (CO); volatile organic compounds (VOC); airborne particulate matter less than 1 micron in size (PM1); airborne particulate matter less than 2.5 micron in size (PM2.5); airborne particulate matter less than 10 micron in size (PM10);- calculating an index, preferably related to well-being in said space, using the at least three parameters, preferably the at least four or five parameters;- comparing said index, preferably related to well-being in said space, to at least a threshold value range;- if said index is outside the at least one threshold value range, defining how at least a second parameter must vary in order to bring said index within the at least one threshold value range; wherein said second parameter is selected from the group of parameters: air relative speed, temperature, humidity, noise, carbon dioxide (CO2), carbon monoxide (CO), volatile organic compounds (VOC), airborne particulate matter less than 1 micron in size (PM1), airborne particulate matter less than 2.5 micron in size (PM2.5), airborneparticulate matter less than 10 micron in size (PM10); and defining an action to be performed to achieve the defined change of the said at least a second parameter.

2. The method of claim 1, wherein the action to be performed is chosen from among the following actions: operating an air conditioner (20) to vary one or more of the following parameters: temperature, ventilation, humidity; operating a controlled mechanical ventilation system (21) that exchanges air with an external environment; activating noise cancellation system (22); activating air purifiers (23); preferably, the action is performed by a control system (10) that controls one or more of said devices.

3. The method of any one of the preceding claims, further comprising the step of displaying on a screen (12) to a user the action to be performed wherein the action to be performed is performed by the user.

4. The method of any one of the preceding claims, wherein said index is preferably related to ambient comfort, wherein the at least three first parameters, in particular the at least four or five first parameters, are chosen from the group of parameters comprising: temperature, humidity, relative air velocity, heat insulation of persons and / or current month, metabolic rate of persons; wherein the at least second parameter is chosen from the group of parameters comprising: temperature and humidity; wherein the action to be performed is chosen from the following actions: operating an air conditioner (20) to change temperature and / or humidity; wherein preferably the action is performed by a control system (10) which receives the action to be performed as input or is shown on a screen (12) to a user who then performs it.

5. The method of claim 4, wherein the method comprises the step of classifying the calculated index value, preferably related to ambient comfort, into one of at least three different classes, preferably five different classes, from a low grade to a high grade; selecting at least one action to be performed to obtain an index value belonging to a higher class preferably up to the high degree class, preferably minimising the number of actions to be performed to arrive at the high degree class and / or the deviation of the values from the current parameter values, in particular a maximum of one action at a time is defined for one or the other of the second parameters between temperatures and humidity.

6. The method of any one of the preceding claims, wherein said index is preferably related to cognitive efficiency, wherein the at least three first parameters, preferably the at least four or five parameters, are chosen from the group of parameters comprising: temperature, humidity, noise, carbon dioxide, heat insulation of persons and / or current month; wherein the at least second parameter is chosen from the parameters comprising: temperature, humidity, noise and carbon dioxide; wherein the action to be performed is chosen from the following actions: operating an air conditioner (20) to vary temperature and / or humidity, operating a controlled mechanical ventilation system (21) that exchanges air with an external environment, activating noise cancellation system (22); wherein preferably the action is performed by a control system (10) that either receives as input the action to be performed or is shown on a screen to a user who then performs it.

7. The method of claim 6, wherein the method comprisesthe step of classifying the calculated index value, preferably related to cognitive efficiency, into one of at least three different classes, preferably five different classes, from a low grade to a high grade; selecting at least one action to be performed to obtain an index value belonging to a higher class preferably up to the high grade class, preferably minimising the number of actions to be performed to arrive at the high grade class and / or the deviation of the values from the current parameter values, in particular a maximum of one action is defined for each of the second parameters temperature, humidity, noise and carbon dioxide.

8. The method of any one of the preceding claims, wherein said index is preferably related to air quality and / or wholesomeness and / or breathability, wherein said at least three first parameters, preferably said at least four or five first parameters are selected from the group of parameters: volatile organic compounds (VOC), airborne particulate matter less than 1 micron in size (PM1), airborne particulate matter less than 2.5 micron in size (PM2.5), airborne particulate matter less than 10 micron in size (PM10), carbon dioxide (CO2), carbon monoxide (CO); wherein the said second parameter is selected from the group of parameters: volatile organic compounds (VOC), airborne particulate matter less than 1 micron in size (PM1), airborne particulate matter less than 2.5 micron in size (PM2.5), airborne particulate matter less than 10 micron in size (PM10), carbon dioxide (CO2), carbon monoxide (CO); wherein the action to be performed is selected from among the following actions: operating a controlled mechanical ventilation system (21) that exchanges air with an external environment, operating an air purifier (24); whereinpreferably the action is performed by a control system (10) that either receives the action to be performed as input or is shown on a screen (12) to a user who then performs it.

9. Method of claim 8, wherein the method comprises the step of classifying the calculated index value, preferably related to air quality and / or healthiness and / or breathability, into one of at least three different classes, preferably five different classes, from a low grade to a high grade; selecting at least one action to be performed to obtain an index value belonging to a higher class preferably up to the high grade class, preferably minimising the number of actions to be performed to arrive at the high grade class and / or the deviation of the values from the current parameter values, in particular a maximum of one action is defined at a time for each of the second parameters volatile organic compounds (VOC), airborne particulate matter less than 1 micron in size (PM1), airborne particulate matter less than 2.5 micron in size (PM2.5), airborne particulate matter less than 10 micron in size (PM10), carbon dioxide (CO2), carbon monoxide (CO).

10. Method of any one of the preceding claims, wherein said index is preferably related to the sleep quality, wherein the at least three first parameters, preferably the at least four or five parameters, are chosen from the group of parameters: temperature, humidity, heat insulation of persons and / or current month, noise, carbon dioxide; wherein the action to be performed is chosen from the following actions: operating an air conditioner (20) to vary temperature and / or humidity, operating a controlled mechanical ventilation system (21) that exchanges air with an external environment, activating noise cancellationsystem (22); wherein preferably the action is performed by a control system (10) that either receives as input the action to be performed or is shown on a screen (12) to a user who then performs it.

11. Method of claim 10, wherein the method comprises the step of classifying the calculated index value, preferably related to the sleep quality, into one of at least three different classes, preferably five different classes, from a low grade to a high grade; selecting at least one action to be performed to obtain an index value belonging to a higher class preferably up to the high grade class, preferably minimising the number of actions to be performed to arrive at the high grade class and / or the deviation of the values from the current parameter values, in particular a maximum of one action is defined at a time for each of the second parameters: carbon dioxide, noise, temperature, humidity.

12. A control system of an indoor space, in particular of parameters, preferably of well-being, of the indoor space; wherein the control system (10) comprises a control unit, at least one sensor (31; 32; 33; 34; 35; 36; 37; 38; 39; 40) and preferably a screen (12) for implementing the method of any one of the preceding claims.

13. The control system of claim 12, comprising at least one of the following devices: an air conditioner (20) for varying one or more of the following parameters: temperature, ventilation, humidity; a controlled mechanical ventilation system (21) that exchanges air with an external environment; an active noise cancellation system (22); an air purifier (23) for reducing one or more of the following parameters: volatile organic compounds (VOC), airborneparticulate matter less than 1 micron in size (PM1), airborne particulate matter less than 2.5 micron in size (PM2.5), airborne particulate matter less than 10 micron in size (PM10), carbon monoxide (CO).

14. Indoor space comprising the control system of one of claims 12 or 13.

15. A building comprising one or more indoor spaces and including one or more of the control systems of any of claims 12 to 13.

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