DE102020126617A1 - Method and device for data processing for user-data-based control/regulation of the needs-adapted operation of at least one HVAC/PCS system for a time/location-resolved mode of operation, as well as a computer program product and use - Google Patents

Abstract

When setting climatic conditions, there are still discrepancies between the states perceived by users and the target states defined on the technical side in many situations, despite the very good control/regulation systems already available on many levels. In order to overcome these discrepancies, a method or a communication and control/regulation system (100) for user-data-based control/regulation of the needs-based operation of at least one HVAC/PCS system (1) based on a plurality of personal control/regulation parameters ( Pp; Hp, GPSp, Tp) provided; wherein the communication/control/regulation system (100) for the at least one person (I) has an input/communication mask (15) for maintaining person-specific climate preference data in the data room by storing at least one subjective comfort rating (Sp) and/or the provides at least one personal parameter (Pp) and performs a time and/or location resolution of the user-specific comfort ratings (Sp) and the personal parameters (Sp) and stores and makes it available in a user preference characteristic (4), in particular in real time. In this way, a control/regulation level can be coupled in an efficient manner with the subjective climate impressions of users.

Description

TECHNICAL AREA

The present invention relates to a communication and control/regulation system for user-data-based control/regulation of the needs-adapted operation of at least one HVAC/PCS system by dynamic control/regulation of a time/location-resolved functionality of the at least one HVAC/PCS system based on a plurality of personal and person-specific defined control/regulation parameters. Furthermore, the present invention relates to a corresponding method for user-data-based control/regulation of the needs-adapted operation of at least one HVAC/PCS system, in particular as a function of user preferences. Last but not least, the present invention also relates to a corresponding computer program product and corresponding uses, in particular both on the front-end side (user) and on the back-end side (host or data processing/processing entity and/or HVAC/ PCS system operator). In particular, the invention relates to a device and a method, each according to the preamble of the respective independent claim.

BACKGROUND OF THE INVENTION

When setting climatic conditions in climatically delimitable environments (e.g. residential building), there are still discrepancies between the users, which are perceived as very disadvantageous or unfavorable, in many situations, despite the very good and technically mature control/regulation systems already available on many levels experienced current climatic conditions and the target conditions defined on the technical side. The list of climatic parameters that affect these discrepancies begins with temperature and humidity, and can be continued, for example, with regard to convective influences, light intensity, acoustic influences or other parameters that can be perceived by human or animal sensory organs. In the prior art, many measures are described at the HVAC system level in order to be able to reduce these discrepancies, in particular with regard to temperature control that is as desirable as possible. Not least because of the many technical differences in the HVAC systems (e.g. reaction times, inertia, only unidirectional control options) and the extremely different user preferences, it has so far been difficult despite the fact that the control or regulation of HVAC has also been made easier, for example, by mobile communication aids systems, it has still been difficult to customize the respective HVAC system for the respective user in the simplest and most intuitive way possible, even independent of location. Further disadvantages arise when a user has to be involved in a time-consuming manner in order to be able to optimally tune the respective HVAC system and/or when the user can only carry out the tuning in certain situations or at certain locations (difficult accessibility). There is therefore interest in a system or method that uses today's technical possibilities as comprehensively as possible and consolidates them for user-demand-oriented control/regulation of HVAC systems in such a way that, on the one hand, the comfort level of the respective user can be maximized without great effort, that the On the other hand, in view of the current climatic challenges and the worldwide efforts to save energy, the respective users are not tempted to worsen their CO ₂ footprint or to increase their energy consumption unnecessarily. It would be very nice if it were possible to encourage the user to save energy even when/while maximizing the individual sense of comfort.

EP 1 806 543 B1 describes a climate control method in which a portable environmental control device having a sensor unit and an input unit and a setting unit and a determination unit and an output unit to be installed in a room enables climate adjustment according to the subjective comfort preferences input by a user by making the climate adjustment in terms of the user's defined comfort zone.

Based on the state of the art, there is an interest in and need for a system and method that can be implemented and scaled as flexibly as possible and that can be updated with regard to the very different current climatic needs of individual users without any disadvantages in terms of time and can be used easily by one or more users as well as by the system operator to be involved in the respective application.

SUMMARY OF THE INVENTION

The task is to provide a device or a system for acquiring and providing data for a user-specific control/regulation of air conditioning systems, with which the data on which the control/regulation is based can be prepared or processed and provided in a particularly advantageous manner and optionally also by a system operator can be used, be it with regard to the preparation and provision of the data by a data processing entity, be it with regard to the use or maintenance of the data tens users or on the part of system operators or energy managers, or be it even with regard to control and/or active regulation of the respective specific air-conditioning device (e.g. HVAC systems). Another object is to provide a corresponding method for providing data to enable user-data-based control/regulation of a needs-based operation of at least one HVAC/PCS system based on a plurality of control/regulation parameters that can be defined in a person-specific manner, in particular with regard to a resource-saving energetic yield , in particular with regard to a current and/or medium-term energy demand forecast. Last but not least, it is a task to enable user-specific data processing before the further aim of controlling/regulating the functioning of at least one HVAC/PCS system in such a way that a user-related comfort requirement is initially met at the data level, and optionally also with regard to climate-technical implementation, if possible is fully recorded and satisfied and at the same time the CO ₂ footprint (here in particular to be understood as a synonym for any emission caused by energy consumption) or the user-specific energy requirement can be minimized without any noticeable loss of comfort, without the respective user an unnecessarily large burden for the burdening the implementation of data maintenance.

At least one of these objects is achieved by a system according to claim 1 and by a method according to the independent method claim. Advantageous developments of the invention are explained in the respective dependent claims or in further independent claims. The features of the exemplary embodiments described below can be combined with one another unless this is explicitly denied.

• - wobei das Kommunikations-/Steuerungs-/Regelungssystem für die wenigstens eine Person (Nutzer, Individuum) eine Eingabe-/Kommunikationsmaske (insbesondere mit GUI), insbesondere in Ausgestaltung als Internetseite und/oder basierend auf wenigstens einem programmcodetechnisch eingebetteten Inlineframe (insbesondere HTML5), insbesondere durch Cross Domain Content Management, zum Hinterlegen oder Eingeben (oder wahlweise auch Nachjustieren) wenigstens eines mit einer Stellgröße korrelierbaren subjektiven Komfort-Ratings (stärker, schwächer, größer, kleiner, mehr, weniger, oder konkrete Level wie z.B. „sehr warm“ oder „leicht unterdurchschnittlich kühl“, Unwohlsein/Discomfort, Wohlbehangen/Befindlichkeit) und/oder des wenigstens einen personenbezogenen Parameters als individuelle Nutzervorgabe über einen der Kommunikationspfade (insbesondere über den ersten Kommunikationspfad) bereitstellt, insbesondere über eine SmartPhone-Kommunikationsverbindung, nämlich des wenigstens einen mit wenigstens einem der Steuerungs-/Regelungsparameter korrelierbaren/korrelierten Komfort-Ratings für ein momentanes Hinterlegen in Echtzeit (subjektiver Stellparameter zur Vorgabe eines Soll-Wertes für wenigstens einen der Parameter, beispielsweise „Raumtemperatur“ oder „Raumfeuchte“ oder „Umluftbewegung/- zug/-konvektion“) und/oder (unmittelbar) des wenigstens einen personenbezogenen Parameters, zum Hinterlegen oder Abrufen einer individuellen personenbezogenen oder personengruppenbezogenen Nutzerpräferenzcharakteristik durch Pflege von personenspezifischen Klimapräferenzdaten im Datenraum, zum Generieren/Vorgeben des Steuerungs-/Regelungsparameters;
• - wobei das Kommunikations-/Steuerungs-/Regelungssystem eingerichtet ist, die Klimapräferenzdaten zum Vorgeben des wenigstens einen Steuerungs-/Regelungsparameters basierend auf momentanen und/oder mit Zeit-/Ortsbezug vorgegebenen Komfort-Ratings bzw. (Erfahrungs-)Werten und/oder basierend auf den hinterlegten, eingegebenen und/oder automatisiert abgerufenen zeit-/ortsaufgelösten personenbezogenen Parametern gemäß der in den Klimapräferenzdaten hinterlegten Nutzerpräferenz aus dem Datenraum zu generieren und insbesondere für einen/den HLK-/PCS-System-Betreiber bereitzustellen, insbesondere in Echtzeit, wobei das Kommunikations-/Steuerungs-/Regelungssystem bevorzugt zudem auch eingerichtet ist, die Komfort-Ratings und/oder die personenbezogenen

According to the invention, the following is provided: A communication and control/regulation system for data preparation for user-data-based control/regulation of the needs-adapted operation of at least one HVAC (or HVAC) system by dynamic control/regulation of a time/location-resolved mode of operation of the at least one HVAC / PCS systems (or Building Management System BMS) based on a plurality of personal and person-specific defined control / regulation parameters, the communication / control / regulation system for providing climate preference data for generating / specifying at least one control / regulation parameter a personal parameter group comprising at least the following personal parameters (or parameter preferences) in relation to at least one point in time/time value and/or in relation to at least one current or future or predefined whereabouts of a/the respective user is (ie, as a function of time or in relation to a current or future point in time or time of day): individual temperature (Tp), individual humidity (Hp), individual temperature profile as a function of place and/or time (Tp(t,s) ), individual humidity fluctuation as a function of place and/or time (Hp(t,s)), whereabouts of the user; wherein the communication/control/regulation system uses or provides at least one unidirectional/or bidirectional communication path from the following group, in particular comprises or uses at least three preferably wireless communication paths, namely a first communication path between a respective person (user, individual) and a Host and/or a data room (cloud), a second communication path between a/the host (data processing entity) and the respective person (user, individual) and/or the data room (cloud), and a third communication path between a HVAC/PCS system operator (energy/climate management entity) and the host and/or the data room (in particular cloud);

• - wherein the communication/control/regulation system for the at least one person (user, individual) has an input/communication mask (in particular with a GUI), in particular in the form of a website and/or based on at least one inline frame embedded in program code (in particular HTML5) , in particular through cross-domain content management, for storing or entering (or optionally also readjusting) at least one subjective comfort rating that can be correlated with a control variable (stronger, weaker, larger, smaller, more, less, or specific level such as “very warm” or "slightly cool below average", feeling unwell/discomfort, well-being/state of mind) and/or the at least one personal parameter as an individual user specification via one of the communication paths (in particular via the first communication path), in particular via a smartphone communication connection, namely the at least one with least s one of the control/regulation parameters correlated/correlated comfort ratings for a momentary storage in real time (subjective control parameter for specifying a target value for at least one of the parameters, for example "room temperature" or "room humidity" or "circulating air movement/draft/ convection") and/or (directly) the at least one personal parameter for storing or retrieving an individual personal or group of people pen-related user preference characteristics through maintenance of person-specific climate preference data in the data room, for generating/specifying the control/regulation parameter;
• - wherein the communication/control/regulation system is set up, the climate preference data for specifying the at least one control/regulation parameter based on instantaneous and/or comfort ratings or (experience) values specified with reference to time and place and/or based on the stored, entered and/or automatically retrieved time/location-resolved personal parameters according to the user preference stored in the climate preference data from the data room and in particular to make them available to a/the HVAC/PCS system operator, in particular in real time, whereby the Communication / control / regulation system is also preferably set up, the comfort ratings and / or personal

to correlate parameters with the system-specific control/regulation parameters to be used in the respective application, to create a time-, location- and user-dependent energy/climate requirement forecast with minimal energy consumption; wherein the communication/control/regulation system is preferably also set up for the dynamic control/regulation of the HVAC/PCS system based on the at least one generated control/regulation parameter, in particular using the third communication path and with/in terms of demand-adapted energy -/climate control, especially in real time; arranged in particular with the communication and control system to carry out a method described further below. This enables user-specific control and regulation, in particular also based on the consolidation of a user-specific comfort profile over a freely selectable time (usage) curve. Subjective user ratings (ratings, comfort perception) can be used in data processing and when generating/providing person-specific climate preference data (user preference characteristics) to define a multivariate probability distribution such that, taking into account predictions about the parameters influencing subjective comfort, the controllable/controllable / controllable manipulated variables of a respective HVAC system for maximizing the subjective user-specific comfort while minimizing the energy requirement required for this or can be specified directly as control / regulation data. This enables, for example, temperature control in a house around the lower threshold of a minimum temperature that the user or user group just feels comfortable (lower threshold of the user-specific comfort rating), or optionally also control/regulation of convection, humidity or similar climate parameters . The set of parameters addressed in the context of the present disclosure also includes, for example, parameters in connection with the following climatic conditions: advective or convective heat transport phenomena, ventilation parameters.

The invention is primarily based on the concept of generating comfort ratings in a particularly simple and user-friendly manner and processing them by time and location resolution and optionally also by weighting in order to create a climatic user preference characteristic that is as up-to-date as possible and as individual as possible. At least one personal parameter, such as a desired temperature or a target/actual comparison between the desired and actual temperature, can also be taken into account (be it through input by the user or through at least partially automated retrieval). In this way, technical control/regulation difficulties can be overcome, because an individual feeling of comfort can also be insufficiently positive if the desired temperature is maintained exactly by the HVAC system, but other influences such as convection, humidity, light impact, current personal activity or state of health, leads to a discrepancy between theoretically optimal climatic conditions and actually perceived climatic conditions. The invention makes it possible to overcome or at least reduce this discrepancy in a very intuitive manner with very simple technical means and with a good compromise between effort and benefit, in particular thanks to the location/system-independent provision of input communication masks or GUIs for the user-specific comfort rating . This concept can also be applied to user groups (e.g. flat shares), so that the invention also contributes to a more tolerable coexistence.

Subjective user ratings (ratings, comfort level) can be used in data processing and when generating/providing person-specific climate preference data (user preference characteristics) to define a model, particularly in the form of a multivariate probability distribution, a look-up table, a decision tree, a regression model and/or other heuristic approaches, e.g. based on classification methods.

The interaction of the data host according to the invention at the interface between the user and HVAC system operators and/or energy hosts enables very simple access to comparatively complex control/regulation tasks. In the simplest case, a user simply authenticates himself to the data host, eg via an e-mail address, and then receives access to the maintenance of user-specific climate preferences. In the event that a user logs in to the data host or makes himself known, but discloses little or nothing about his own climate preferences, the user can, for example, use age, gender and/or other social media data of an already existing be assigned to a user group or a new user group to be defined. In this respect, this user initially receives a more standard climate/comfort preference profile - however, as soon as the user submits his or her own ratings and/or defines the desired parameter set (the latter can, for example, also be used by an HVAC system operator with regard to the HVAC used by the user, e.g. in their holiday home -System can be called up), the user preference characteristics can be specified. If necessary, the user should then be assigned to another user group, eg a rather inactive young person with a greater need for a warm indoor climate than, for example, an individual who is very active in sports or who is used to outdoor environments.

In the present disclosure, the terms person, user, individual or user-specific, individual, person-related are understood to be largely synonymous. A person is a human being, and an individual can also be a pet, for example, and a user is a person or an individual who has already decided to use the system according to the invention, i.e. who is identifiable and authenticable. This conceptual diversification is also based on the fact that climate preference data can also be generated, e.g. at least in part, from a group of people (especially known average age, gender, other preferences), without the respective people necessarily also having to be users of the present system.

The respective comfort rating can also be understood as a relative control variable that can be scaled by the user. A comfort rating shall be associated with a parameter set by default, in particular to facilitate correlation of the rating with the control parameters for the particular HVAC system. However, the parameter set does not necessarily have to relate to a climate zone that is actively measured, but can optionally be read by a user from any thermometer, for example, and recorded manually for data maintenance. It is also possible to only partially record a/the climate condition. This provides numerous variable application possibilities. A specific use of space can also be defined based on user input; Optionally, room use/occupancy is determined automatically with the help of interior localization methods (e.g. GPS tracking). Optionally, the (current) activity of the respective user can also be taken into account in connection with the recording and relativization of the comfort ratings, e.g. via a pulse/respiration rate and/or via a movement pattern. In this respect, the comfort rating can be understood as a manipulated variable that can be at least partially decoupled from the parameter set, e.g. by the control/regulation not being temperature-based but e.g but it is already very warm in the room.

The system/method according to the invention makes it possible to couple a control/regulation level in an efficient manner with the subjectively perceived climate impressions of users, in particular also with regard to minimizing the energy requirement. The system/method according to the invention does not necessarily also include the control/regulation level at the interface to the respective HVAC system, because technical features of a respective HVAC system may have to be known for this; Depending on the application, such information is primarily available to the respective HVAC system operator, so that the present invention can also be implemented simply by providing the corresponding data for the HVAC system operator, based on the respective data created by the host time- and/or location-resolved user preference characteristic, which takes past and current user ratings into account.

The communication/control/regulation system is set up for a time and/or location resolution of the user-specific comfort ratings (Sp) and the personal parameters (Sp). The term “communication and control/regulation system” is to be understood in such a way that in a first step the system is only set up to generate and provide the data provided for the control/regulation (data communication system or data collection and processing system). In a second step, a connection to the respective HVAC/PCS system can optionally also be carried out for the purpose of direct control/regulation by the system itself. However, data is preferably transferred at the interface to the respective host, whereby the method/system according to the invention can be used more widely and is more versatile. Accordingly, the term "communication and control/regulation system" is to be understood in such a way that the system is optionally designed as a pure (data) communication system without a direct control/regulation function, which can, however, be integrated into a control/regulation system or can be linked to it, i.e. in the sense of a communication and optionally also a control/regulation system. In other words: the conceptual reference to a control/regulation component does not necessarily imply the implementation of a control/regulation function. Last but not least, this aspect is important with regard to the broadest possible and most variable implementation options, especially against the background that the control/regulation side of HVAC systems is in many cases also ensured by an energy supplier, for example in connection with renewable energies. Accordingly, the term "communication and control/regulation system" is initially (only) to be understood in the sense of a data collection/processing system. Thus, the terms “communication or optionally also control/regulation system” and the terms “data acquisition/processing system” within the scope of the present disclosure are to be understood as synonymous at least for all those variants of the invention in which there is no control/regulation as such , but in which only the processing and provision of user preference characteristics or climate preference data takes place in such a way that, based on this, a user-specific and comfort-technically and energetically optimized control/regulation can be implemented.

The input/communication mask is set up to store the respective comfort rating (Sp), in particular scaled using a scale (intensity of a sensation) or by weighting, and/or the at least one personal parameter (Sp) by the user. The communication/control/regulation system is preferably also set up to correlate the comfort ratings and/or the personal parameters with the system-specific control/regulation parameters to be used in the respective application in order to create time-, location- and user-dependent energy -/climate demand forecast, especially with minimized energy consumption. This also enables improved control/regulation in the case of HVAC systems that are very sluggish or slow in terms of energy.

A data handling/processing entity is to be understood in particular as a database provider or information provider, which on the one hand deals with data collection, data maintenance and data preparation, and on the other hand ensures that data is made available to other hosts or third-party providers. The data handling/processing entity can also look after the back-end side and enable a user to access data maintenance (front-end). Within the framework of the method/system described here, the data processing entity can also use a data fit method, by means of which the subjective evaluation or the user-specific ratings and control variables (the control variables can also be user-specific, e.g. a user only wants a regulation the temperature, but not the humidity) by the user in a preference space (climate preference data) with correlation or taking into account relevant influencing factors and/or parameters and/or boundary conditions and can be made available and made available for other applications.

A respective manipulated variable can also be correlated with a user preference; e.g. for a user who cares primarily about temperature, the manipulated variable may be related to temperature control parameters, and for a user interested in high air exchange and clean air, the manipulated variable may be more strongly correlated to a convection control parameter, and a temperature control parameter may then like downstream or lower in the hierarchy. In this respect, too, a manipulated variable, which can optionally also be generated from the user preference characteristic, differs from the control/regulation parameters that may be specific to the HVAC system for technical-climatic adjustment processes.

The current location or location parameter of the respective user can also be correlated with a room code, in particular with a room code, which at least includes the type of room and the occupancy of the room. The other parameters can also be based on one or more characterizing key figures, depending on the application and the complexity of the control/regulation task.

An HVAC/PCS system is to be understood in particular as at least one system from the following group: heating and/or ventilation and/or air conditioning system (HVAC system) or heating and/or ventilation and/or air conditioning System, e.g. customizable space heating, ventilation or air conditioning in a house, Personalized Conditioning System (PCS system), e.g.

A smartphone communication link (or similar communication link such as tablet, SmartWatch, communication module communication link) is to be understood in particular as a communication link to a mobile communicating end device of a user, which can be established on the usual communication paths via telephone networks, the Internet or the like.

The term "in real time" is to be understood in particular as a reaction time that is necessary or advantageous for a momentary control of the HVAC/PCS system based on already stored or currently specified parameters, in which a control without noticeable time delays even over large distances between the user and HVAC/PCS system is made possible, i.e. around the world. A real-time control option does not necessarily have to be implemented for pure control without regulation. However, particularly in the case of very fast HVAC/PCS systems with little inertia and a fast response time, e.g. in ventilation systems, the minimum response time can also be advantageous for control aspects, e.g. if a user spontaneously changes or switches over the user preference characteristics.

A communication path is to be understood in particular as any communicative connection between the senders and recipients described in detail here, in particular taking into account technical requirements or wishes with regard to data transmission rate and transmission time (losses). The respective communication path can be wireless or wired.

The user preferably sends data to the host on the first communication path. Data maintenance or data editing/processing by the host preferably takes place via the second communication path (in particular for creating the user preference characteristic). The climate preference data for at least one other host or for an HVAC system operator or for an energy management entity is preferably provided via the third communication path.

• Bereitgestellt wird eine Kommunikations- und Steuerungs-/Regelungssystem zum nutzerdatenbasierten Steuern/Regeln des bedarfsangepassten Betreibens wenigstens eines HLK-/PCS-Systems durch dynamische Steuerung/Regelung einer zeit-/ortsaufgelösten Funktionsweise des wenigstens einen HLK-/PCS-Systems basierend auf einer Mehrzahl personenbezogener und personenspezifisch definierter Steuerungs-/Regelungsparameter (Pp; Hp, GPSp, Tp), wobei das Kommunikations-/Steuerungs-/Regelungssystem eingerichtet ist zum Generieren/Vorgeben des wenigstens einen Steuerungs-/Regelungsparameters basierend auf einer personenbezogenen Parametergruppe (GPp) zumindest umfassend die folgenden personenbezogenen zeit- und/oder ortsaufgelösten Parameter: individuelle Temperatur (Tp), individuelle Luftfeuchtigkeit (Hp), individueller Temperaturverlauf als Funktion von Ort und/oder Zeit (Tp(t,s)), individuelle Luftfeuchtigkeitsschwankung als Funktion von Ort und/oder Zeit (Hp(t,s)), Aufenthaltsort (GPSp) des Nutzers; wobei das Kommunikations-/Steuerungs-/Regelungssystem eingerichtet ist, über wenigstens drei Kommunikationspfade zu kommunizieren bzw. Daten auszutauschen, nämlich über eine Kommunikationspfad zwischen einer jeweiligen Person und einem Host und/oder über eine Kommunikationspfad zwischen dem Host und dem Datenraum und/oder über einen Kommunikationspfad zwischen einem HLK-/PCS-System-Betreiber und dem Host und/oder dem Datenraum; wobei das Kommunikations-/Steuerungs-/Regelungssystem eingerichtet ist, für die wenigstens eine Person eine Eingabe-/Kommunikationsmaske zur Pflege von personenspezifischen Klimapräferenzdaten im Datenraum bereitzustellen, insbesondere durch Cross Domain Content Management, zum Hinterlegen oder Eingeben wenigstens eines über die Eingabe-/Kommunikationsmaske skalierbaren subjektiven Komfort-Ratings (Sp) und/oder des wenigstens einen personenbezogenen Parameters (Pp), zum Erstellen einer personenbezogenen oder personengruppenbezogenen Nutzerpräferenzcharakteristik durch den Host und zum Generieren/Vorgeben des personenbezogenen Steuerungs-/Regelungsparameters (Pp) basierend auf der Nutzerpräferenzcharakteristik; wobei die Komfort-Ratings (Sp) zeit- und/oder ortsaufgelöst sind/werden; wobei das Kommunikations-/Steuerungs-/Regelungssystem eingerichtet ist zum Bereitstellen der zeit-/ortsaufgelösten Komfort-Ratings (Sp) und Steuerungs-/Regelungsparameters (Pp) für einen/den HLK-/PCS-System-Betreiber für die dynamische Steuerung/Regelung des jeweiligen HLK-/PCS-Systems, insbesondere in Echtzeit; insbesondere mit dem Kommunikations- und Steuerungs-/Regelungssystem eingerichtet zum Ausführen eines weiter unten im Einzelnen beschriebenen Verfahrens. Bevorzugt ist das Kommunikations-/Steuerungs-/Regelungssystem eingerichtet zum Erstellen einer zeit- und orts- und nutzerabhängigen Energie-/Klima-Bedarfsprognose basierend auf den Komfort-Ratings (Sp) und/oder personenbezogenen Parametern (Pp), insbesondere bei minimiertem Energieverbrauch.

In other words, the invention can also be described as follows:

• A communication and control/regulation system is provided for user-data-based control/regulation of the needs-adapted operation of at least one HVAC/PCS system by dynamic control/regulation of a time/location-resolved functionality of the at least one HVAC/PCS system based on a plurality personal and person-specific defined control/regulation parameters (Pp; Hp, GPSp, Tp), the communication/control/regulation system being set up to generate/specify the at least one control/regulation parameter based on a personal parameter group (GPp) at least extensively the following personal time- and/or location-resolved parameters: individual temperature (Tp), individual humidity (Hp), individual temperature profile as a function of location and/or time (Tp(t,s)), individual humidity fluctuation as a function of location and/or or time (Hp(t,s)), location (GPSp) of the user; wherein the communication/control/regulation system is set up to communicate or exchange data via at least three communication paths, namely via a communication path between a respective person and a host and/or via a communication path between the host and the data room and/or via a communication path between an HVAC/PCS system operator and the host and/or the data room; wherein the communication/control/regulation system is set up to provide the at least one person with an input/communication mask for maintaining personal climate preference data in the data room, in particular through cross-domain content management, for storing or entering at least one via the input/communication mask scalable subjective comfort ratings (Sp) and/or the at least one personal parameter (Pp), for creating a personal or group-related user preference characteristic by the host and for generating/specifying the personal control/regulation parameter (Pp) based on the user preference characteristic; wherein the comfort ratings (Sp) are time- and/or location-resolved; wherein the communication/control/regulation system is arranged to provide the time/location resolved comfort ratings (Sp) and control/regulation parameters (Pp) to a/the HVAC/PCS system operator for the dynamic control/regulation of the respective HVAC/PCS system, especially in real time; arranged in particular with the communication and control system to carry out a method described in more detail below. The communication/control/regulation system is preferably set up to create a time, location and user-dependent energy/climate requirement forecast based on the comfort Ra tings (Sp) and/or personal parameters (Pp), especially with minimized energy consumption.

Accordingly, the invention is also based on the concept of correlating the following processes with one another: controlling/regulating HVAC systems by providing user-specific climate preference data by a data processing entity; Definition of the usable parameter set; Acquisition of comfort ratings (in particular time/location resolved) and formation/storage of user-specific climate preference characteristics and creation of a user-specific energy/climate requirement forecast (in particular by data processing entity); providing the climate preference data; optional: active control/regulation of the HVAC system based on climate preference data; optionally: specification of different communication paths;

The invention also makes it possible, in particular, to take the following aspects into account together or to provide a system/method in order to enable synergetic effects when (simultaneously) realizing individual or all of these aspects: Definition of the parameter set that can be used (in particular temperature, humidity; time and/or spatial resolution, e.g. by the user pre-defining room usage/occupancy); Comfort rating as a user-scalable relative control variable, which can be controlled by the user independently of the parameter set available or selected in each individual case, and can also be at least partially decoupled from the parameter set (query of the relatively perceived heat perception instead of a specific technical desired temperature) , whereby the comfort rating can also be taken into account with a time-dependent weighting of the individual ratings of the same user among one another; Cross domain content management, in particular in the form of inline frames, to make the system functionality according to the invention easier to access; Correlation of user preference characteristics with current external parameters (e.g. weather, whereabouts, activity), in particular using or based on AI-based algorithms; Definition of user groups and (optional) weighting of the influence of a rating among the users within a group, whereby data on the climatic requirements of these user groups can optionally also be supplied from external databases; automatic approach to a lower tolerance limit for the purpose of determining a user-specific possible minimum energy consumption; Creating a user-specific energy/climate requirement forecast (looking into the future);

In particular for creating a user-specific energy/climate requirement forecast, the system/method according to the invention provides a database both in the short-term (minutes, hours) and in the medium-term (hours, days, weeks) to long-term (weeks, months, years) which facilitates user-specific and energy-optimized control/regulation of any type of HVAC/PCS system. The generation of a preference characteristic based on the collection of comfort ratings in any environment and its current user-specific state provides a data set that is portable to HVAC/PCS systems, particularly applicable to systems that use a comfort trajectory as a control/ Read or evaluate control variable. The climate preference characteristic is designed in such a way that it can be combined with that of other users. Last but not least, this also enables the provision of a system based on a very broad database, which, thanks in particular to cross-domain content management, enables the user to have the best possible individually adapted comfort experience in a largely arbitrarily conditioned environment (possibly also depending on occupancy by other users). to be able to do this with minimal energy use, e.g. to experience a very pleasant hotel stay without the hotel operator having to bear a particularly high energy consumption.

According to one embodiment, the at least one control/regulation parameter can be generated in an automated manner for the respective user for a user-specific energy consumption optimization based on the comfort ratings by a user-specific lower energy consumption level corresponding to a lower comfort threshold value being determined based on the comfort ratings, in particular by specifying a minimally small, user-specific ratio of an energy consumption index and a comfort index.

According to one exemplary embodiment, the parameter group also includes a user-specific activity parameter, in particular characterizing the type of activity and the user preference for the respective activity, with the user activity being optionally predicted according to the stored user behavior and/or location and/or by reference to a time of day/ Annual calendar and / or based on a current heart / breathing rate or a movement profile of the user is estimated / predefined. This also enables energy consumption-optimized control/regulation depending on the physiological organism-related and/or activity-related activity (type of activity, load on the organ nism). It has been shown that in many situations a sedentary individual has a greater need for a warm, comfortable indoor climate than a very active individual. By taking the activity into account, the system according to the invention also enables an even greater energy saving potential. The current heart rate/breathing rate and/or the movement profile of the user can be recorded, for example, using a SmartWatch and transmitted to the system described here as an additional personal parameter. Optionally, a blood pressure can also be taken into account, for example by creating a warmer environment for people with very low blood pressure.

According to one embodiment, the personal parameter group maintained by the user via the individual climate preference data is optionally also correlated with at least one of the following non-personal parameters to generate/specify the at least one control/regulation parameter: predicted location-based outdoor climate condition, time of day, calendar date. This also favors a situation-optimized energy saving.

According to one embodiment, the climate preference data can be optionally stored by the respective user in a time-specific and/or location-specific manner, in particular based on geofencing by correlating the climate preference data with GPS data of a current location of the respective user and/or with weather data available for the user's location (outdoor climate conditions, environmental parameters ). Based on geofencing, an implicit conclusion regarding the current location of the user can be realized. Optionally, in geofencing or in combination with geofencing (or alternatively), a/the current local distance of the user to his private rooms (private address, office, holiday home) can also be taken into account, for example via a distance/distance parameter. This also favors a more targeted, more resilient, less error-prone control/regulation of the corresponding HVAC/PCS system for specifying a switch-on/switch-off time and/or a lead time duration.

According to one exemplary embodiment, a/the time resolution relates to a current time of day, in particular with regard to a user preference stored in the climate preference data with a time-dependency over the course of the day. This can further specify the optimization of the energy requirement, in particular with regard to a stronger effect of the subjective feeling (e.g. greater feeling of need for comfort at the weekend, for example greater need for a warm, optimal room climate at the end of the day).

According to one exemplary embodiment, the input/communication mask is set up to define personal time windows or time periods of individual duration for the stay of the respective user at specific locations or in specific living rooms, in particular taking into account the current location of the user. This favors the optimization of the control/regulation also with regard to several locations of the respective user, in particular taking into account the inertia and reaction times of HVAC systems.

The sluggishness of HVAC systems, especially in larger buildings or in the case of strongly fluctuating external climatic influences, is a (side) effect that should not be underestimated, and which the HVAC system operators can only inadequately control in many cases. In this respect, the present invention also provides the technical means, this (side) effect based on the participation of the user or also (at least temporarily or at least with regard to specific individual control/regulation tasks) only based on sensory detectable data from e.g. openly accessible temperature sensors ( data interface on a sensory level) under control.

According to one exemplary embodiment, current location data can be transmitted by the respective user via the at least one communication path and/or can be retrieved from the host. This also favors a comparison of real, actual states with forecast or estimated states, in particular in terms of a plausibility check.

According to one embodiment, the parameter group includes at least one further parameter from the following group: user-specific activity parameter, in particular time- and/or location-resolved; predicted location-based and time-resolved outdoor climate condition (particularly temperature, wind chill factor or the like) correlated with at least one of the personal parameters. This also enables actual current energy demand scenarios to be taken into account, even if no installations are provided in the house or building where the user is staying to adapt HVAC systems to e.g. the current solar radiation or the current outside temperature. As a result, the system/method according to the invention also makes it possible to save a great deal of sensory and metrological installation effort.

According to one exemplary embodiment, the climate preference data includes personal metadata that is generated from a subjectively experienced thermal/climatic experience of the respective user from climate preference data that has already been recorded/generated and/or from the user-specific comfort ratings, for the adaptation and future specification of the at least one control/ control parameters. On the one hand, based on metadata, user behavior can be evaluated, in particular the tendency of a user to repeatedly readjust preferences and/or to complain/criticize experienced climate conditions, and on the other hand, a personal tolerance parameter can be generated to specify threshold values for control/regulation of the HVAC/PCS system to avoid under/over air conditioning. In this way, energy expenditure can also be minimized for more tolerant users (e.g. a user accepts an upper limit of 26°C in a room in a very hot environment with outside temperatures above 35°C; more energy can be saved for this user than for a more sensitive or . more intolerant users whose upper threshold is already only 22°C).

According to one embodiment, the climate preference data includes personal metadata that is correlated with a personal rating history parameter that includes the time or age of a comfort rating or user preference characteristic in the data processing by the host. This also makes it possible to take into account a preference tendency or development of user habits (historically related evaluation of user preference tendencies), for example in a phase in which a newborn user in the first few months changes from a particularly warm environment during the day and a rather cool environment at night to a climatic one environment that more closely resembles the preferences of an adult user (warmer at night, cooler during the day). This can also be taken into account, for example, via a time-resolved change of location code, which can be included in the location parameter (GPSp). Or users who are getting older, weaker and less active over a longer period of time and therefore need more heat (energy).

Last but not least, an amount of a climatic deviation from the target conditions and also its time share can be taken into account, in particular to correlate this situation with a current comfort rating, which may turn out to be more extreme if a user was previously disappointed with the climate over a longer period of time . Such a key figure can, for example, be taken into account as a degree of satisfaction or "discomfort" key figure when weighting the individual ratings.

According to one exemplary embodiment, a user-specific setpoint trajectory can be generated from the climate preference data, taking into account a climatic inertia of a corresponding HVAC/PCS system, for specifying the at least one control/regulation parameter and, in terms of time, can be applied to the control/regulation of the HVAC/PCS system. Systems adaptable, in particular based on a HLK / PCS system inherent control logic, the latter in particular provided or can be made available by the HLK / PCS system operator, in particular for the purpose of saving energy. This control option can optionally be implemented by the (energy) host and/or by the respective HVAC/PCS system operator, in particular in order to be able to further reduce the actual energy consumption and/or to improve the accuracy when realizing the setpoint values. increase trajectory. The setpoint trajectory can be understood as a later stage of data processing, which is preceded by the creation of a probability distribution from the climate preference data.

According to one embodiment, a user-specific setpoint trajectory, taking into account a climatic inertia of a corresponding HVAC/PCS system, can be adapted to control the HVAC/PCS system in terms of time by using an HVAC/PCS system-specific inertia time value in the controller /Regulation of the corresponding HVAC/PCS system for specifying a switch-on/off time and/or a lead time (user-specific phase for anticipating energy supply or energy removal) for the HVAC/PCS system can be specified, in particular based on an HVAC/PCS - System-immanent control logic, in particular taking into account the thermal properties of the respective climate environment and by comparing target and actual climate time series. The consideration of a lead time enables an increase in the effectiveness of energy saving measures, especially in comparatively large buildings or rooms (e.g. large living room on the ground floor with a non-insulated or non-existent basement).

According to one embodiment, the at least one control/regulation parameter can be generated in an automated manner based on a weighting of the respective age of several comfort ratings of the same user by attributing the most recent comfort rating of the user with the currently highest weighting, in particular in this way that the user preference characteristic is characterized by time-weighted climate preference data, especially with the since exponentially decreasing dependency on the corresponding rating in the past time.

According to an embodiment, the control of the HVAC/PCS system can be performed in a dynamic manner based on the at least one control parameter, wherein the at least one control parameter is an average control parameter or a value relating to one or more users /Individual weighted user data processing parameter (e.g. comprising a user preference distribution index), which is formed from a plurality of individual control/regulation parameters of a number of people, in particular in real time depending on a current or predefined occupancy of a closed space by the number of individuals. The averaging or weighting among a large number of users also enables the energetic or comfort-oriented optimization of energy consumption, e.g. in communal households, in large families, in individuals with pets, in a couple with a newborn child, or similar differentiated user group composition.

Optionally, with a weighting among a plurality of users, certain or all other users can be excluded if a single user with certain predefined characteristics is present in the user group or is present in the room, e.g. if the single mother with two children in a household is present in the room, then the setpoint trajectory is established solely based on the mother's user preference characteristic. If the mother is not present, the target trajectory is established based on an averaging of the user preference characteristics of the two children. In this respect, the term "weighting" can also include the fading out of other people if a person defined as the most important/priority is present.

According to one exemplary embodiment, the communicative control/regulation can be implemented by the at least one user via the input/communication mask by integrating at least one GUI and/or at least one inline frame into another (particularly non-system) website via a website that is embedded in the program code , in particular HTML5, the information provided by the user with regard to subjective comfort ratings and/or the at least one personal parameter can be stored or adjusted. The acquisition or input of comfort ratings enables the system/method to be implemented in a simple manner, in particular by means of inline frames, both on the front-end side and on the back-end side. The system/method according to the invention can therefore also be implemented without predefined HVAC system conditions or without metrological requirements. In this respect, too, the system/method according to the invention can implement the comfort and energy-related optimization essentially in a user-controlled manner and implemented on the user side.

According to one embodiment, the communication/control/regulation system is set up to evaluate the time, location and user-dependent energy/climate requirement forecast by inversion by comparing current or future actual values of the control/regulation parameters with the climate preference data of the respective user can be correlated and in that an expected user preference can be determined deductively in conclusion from specified or actually measured climatic states, in particular for a load/energy consumption reduction depending on the foreseen or expected user behavior and current or future user location. This means that a user-specific history (evaluation of user data over time) can also be used for energy optimization, especially in connection with post-stay ratings, e.g. if the user only gives feedback after a hotel stay.

ITEM1 At least one of the aforementioned tasks is also solved by a communication and control/regulation system for data processing and data provision for user-data-based control/regulation of the needs-based operation of at least one HVAC/PCS system through dynamic control/regulation of a time/location-resolved function of the at least one HVAC/PCS system based on a plurality of personal and person-specific defined control/regulation parameters (Pp; Hp, GPSp, Tp), wherein the communication/control/regulation system is set up to provide climate preference data for specifying the at least a control/regulation parameter from a personal parameter group (GPp) at least comprising the following personal time- and/or location-resolved parameters: individual temperature (Tp), individual humidity (Hp), individual temperature profile as a function of location and/or time (Tp( t,s)), indi visual humidity variation as a function of place and/or time (Hp(t,s)), whereabouts (GPSp) of the user; wherein the communication/control/regulation system is set up to exchange data via at least three communication paths, namely via a communication path between a respective person and a host and/or via a communication path between the host and the data room and/or via a communication path between an HVAC/PCS system operator and the host and/or the data room; wherein the communication/control/regulation system is set up to provide the at least one person with an input/communication mask for maintaining person-specific climate preference data in the data room, in particular through cross-domain content management, for storing at least one subjective comfort rating (Sp) and / or the at least one personal parameter (Pp), the communication/control/regulation system (100) being set up to create a personal or group-related user preference characteristic (4) and to generate and provide the climate preference data for specifying the personal control/regulation parameter (Pp) based on the user preference characteristic; wherein the comfort ratings (Sp) are time- and/or location-resolved; wherein the communication/control/regulation system is configured to provide the time/location-resolved comfort ratings (Sp) in the form of user-specific climate preference data for determining the corresponding control/regulation parameter (Pp) for a/the HVAC/PCS system -Operators, especially in real time; arranged in particular with the communication and control system to carry out a method described in detail below; whereby the control/regulation can be implemented by the at least one user via the input/communication mask by using a website that is integrated into a further website by embedding at least one GUI and/or at least one inline frame in terms of program code, the information provided by the user with regard to subjective Comfort ratings and/or the at least one personal parameter can be stored or adjusted, with the communication and control/regulation system having at least one open programming interface for linking or programming embedding of elements written in machine-readable language, in particular HTML elements, on at least one of the communication paths , provides, in particular, a REST API.

ITEM2 At least one of the aforementioned tasks is also solved by a communication and control/regulation system for data processing and data provision for dynamic user-data-based control/regulation of a needs-adapted time/location-resolved functionality of at least one HVAC/PCS system based on a plurality of personal Control / regulation parameters (Pp; Hp, GPSp, Tp), wherein the communication / control / regulation system is set up to provide climate preference data based on user-specific comfort ratings, which are used to create a user preference characteristic, the climate preference data to be provided from the user preference characteristic, in particular with the inclusion of current states of the environment to be air-conditioned and/or the respective user, and in particular based on a model-based representation, in particular based on a multivariate anten probability distribution, are provided in the form of a daily/seasonal and/or location-dependent target value trajectory; wherein the communication and control/regulation system is set up for the user-specific detection, consideration or processing of at least one feature, one variable or at least one parameter from the following group or in connection with one of the following functionalities: definition of the usable parameter set, in particular temperature, Humidity, time and/or location resolution, in particular room usage/occupancy defined in a user-specific manner; Comfort ratings as a user-scaled relative control variable with regard to the perception of comfort, in particular with time-dependent weighting of the individual ratings of the same user among each other; Cross domain content management, in particular in the form of inline frames that can be embedded on non-system websites; Correlation of user preference characteristics with current external parameters, in particular weather data, current location of the user, activity of the user, in particular also using or based on AI-based algorithms; Definition of user groups and optional weighting of the influence of a rating among the users within a group, whereby data on the climatic preferences of the respective user group can optionally also be supplied from external databases; automatic approach to a lower climatic tolerance limit, e.g. a minimum temperature, in order to determine a user-specific possible minimum energy consumption; Creating a user-specific energy/climate requirement forecast, in particular for a period of several hours, days, weeks or months; in particular communication and control/regulation system according to the configurations described above.

As mentioned, at least one of the aforementioned objects is also achieved by a method according to the corresponding independent method claim, namely by a method for generating and providing climate preference data for user-data-based control/regulation of the needs-adapted operation of at least one HVAC/PCS system for dynamic control/ Regulation of a time/location-resolved mode of operation of the at least one HVAC/PCS systems based on a plurality of personal and person-specific (individually) defined/definable control/regulation parameters, with at least one control/regulation parameter used/to be used for the dynamic control from a personal parameter group comprising at least the following personal parameters in relation to at least one point in time/time value (i.e. as a function of time or in relation to a current or future point in time or time of day or time of the year) and/or in relation to at least one current or future or predefined whereabouts of the respective user (person, individual ) is generated/specified: individual temperature or temperature preference (Tp), individual air humidity or air humidity preference (Hp), individual temperature profile over the day/season or temperature fluctuation preference as a function of location and/or time (Tp (t,s)), individual humidity fluctuation preference as a function of location and/or time (Hp(t,s)), current and/or time-related whereabouts of the user; at least one unidirectional/or bidirectional communication path from the following group being used or provided for the method or by the method, in particular at least three preferably wireless communication paths being provided or used, namely a first communication path between a respective person (user, individual) and a host and/or a data room (cloud), a second communication path between a/the host (data processing entity) and the respective person (user, individual) and/or the data room (cloud), and a third communication path between an HVAC/PCS system operator (energy/climate management entity) and the host and/or the data room (in particular cloud); at least one individual (user) being provided with an input/communication mask (GUI), in particular in the form of a website and/or based on the program code embedding of at least one inline frame, in particular through cross-domain content management, for storing or entering (or optionally also readjusting) at least one subjective comfort rating that can be correlated with a control variable (stronger, weaker, larger, smaller, more, less, or specific level such as “very warm” or “slightly below average cool”; feeling unwell/discomfort, well-being/sensitivity) and/or of the at least one personal parameter is provided as an individual user specification via one of the communication paths (in particular via the first communication path), in particular via a smartphone communication link, namely the at least one subjective comfort rating correlated with at least one of the control/regulation parameters, e.g se for a momentary storage in real time (subjective control parameter for specifying or influencing a target value for at least one of the parameters, for example "room temperature" or "room humidity" or "circulating air movement/draft/convection") and/or the at least one personal parameters for defining an individual person-related or group-related user preference characteristic by maintaining person-specific climate preference data in the data room; the climate preference data for specifying the at least one control/regulation parameter based on current values and/or (experience) values specified with reference to time/location (for example also based on adjustment measures taken by the respective user in the past) or comfort ratings for the at least one manipulated variable and/or generated based on the stored, entered and/or automatically retrieved time/location-related personal parameters according to the user preference stored in the climate preference data from the data room, in particular in the form of a daily/seasonal and/or location-dependent target value -Trajectory, especially in real time; in particular with the method carried out by means of the communication and control system described above. This provides the advantages previously described above, in particular with regard to an efficient provision of data for determining an advantageous compromise between maximum good comfort perception and minimum energy consumption. Based on this method, the control/regulation of the HVAC/PCS system is dynamic (time-dependent or point-in-time) based on the at least one generated control/regulation parameter, in particular using the third communication path and with/in terms of needs-based energy/climate -Control feasible, especially in real time. Optionally, the comfort ratings and/or the personal parameters are also correlated with the system-specific control/regulation parameters to be used in the respective application for an individual user or a user group for a specific climate environment (room, house, room) in order to create a time- and location- and user-dependent energy/climate demand forecast. For the correlation, the respective HVAC system operator can provide system-specific control/regulation variables or they can be included by the HVAC system operator.

The control variable and/or the personal parameter can also be retrieved in an automated manner or in a manner that can be automated by the user (optionally also exclusively), in particular in that, for example, the actual temperatures in the respective room (climate environment) are recorded by a thermostat at predefinable time intervals, in particular wirelessly via one of the communication paths (automatically retrieved current personal parameters). An at least partially automated retrieval of personal parameters also enables, for example, a timely reaction to a thermal drift, for example in the event of a sudden change in the weather (environmental parameters) or in the event of a lack of ventilation or convection or the like.

• Bereitgestellt wird ein Verfahren zum nutzerdatenbasierten Steuern/Regeln des bedarfsangepassten Betreibens wenigstens eines HLK-/PCS-Systems (1) zur dynamischen Steuerung/Regelung einer zeit-/ortsaufgelösten Funktionsweise des wenigstens einen HLK-/PCS-Systems basierend auf einer Mehrzahl personenbezogener und personenspezifisch definierbarer Steuerungs-/Regelungsparameter, wobei wenigstens ein für die dynamische Regelung heranzuziehender Steuerungs-/Regelungsparameter aus einer personenbezogenen Parametergruppe umfassend zumindest die folgenden personenbezogenen Parameter in Bezug auf wenigstens einen Zeitpunkt und/oder in Bezug auf wenigstens einen momentanen oder zukünftigen oder vordefinierten Aufenthaltsort eines/des jeweiligen Nutzers vorgegeben wird: individuelle Temperatur (Tp), individuelle Luftfeuchtigkeit (Hp), individueller Temperaturverlauf als Funktion von Ort und/oder Zeit (Tp(t,s)), individuelle Luftfeuchtigkeitsschwankung als Funktion von Ort und/oder Zeit (Hp(t,s)), Aufenthaltsort des Nutzers; wobei für das Steuern/Regeln eine Datenübertragung über wenigstens drei Kommunikationspfade erfolgt: über einen Kommunikationspfad zwischen einer jeweiligen Person und einem Host, über einen zweiten Kommunikationspfad zwischen einem/dem Host und dem Datenraum, und über einen dritten Kommunikationspfad zwischen einem HLK-/PCS-System-Betreiber und dem Host und/oder dem Datenraum; wobei dem wenigstens einen Individuum eine Eingabe-/Kommunikationsmaske, insbesondere durch Cross Domain Content Management, zum Hinterlegen oder Eingeben wenigstens eines subjektiven Komfort-Ratings und/oder des wenigstens eines personenbezogenen Parameters bereitgestellt wird, zum Definieren einer individuellen personenbezogenen oder personengruppenbezogenen Nutzerpräferenzcharakteristik durch Pflegen von personenspezifischen Klimapräferenzdaten im Datenraum; wobei der wenigstens eine Steuerungs-/Regelungsparameter basierend auf zeit-/ortsaufgelösten Komfort-Ratings und/oder basierend auf zeit-/ortsaufgelösten personenbezogenen Parametern gemäß der in den Klimapräferenzdaten hinterlegten Nutzerpräferenz aus dem Datenraum generiert wird, zum Erstellen einer zeit- und orts- und nutzerabhängigen Energie-/Klima-Bedarfsprognose; derart dass die Steuerung/Regelung des HLK-/PCS-Systems auf dynamische Weise basierend auf den zeit-/ortsaufgelösten Komfort-Ratings und den Steuerungs-/Regelungsparametern zur bedarfsangepassten Energie-/Klima-Steuerung-/Regelung durchführbar ist, insbesondere in Echtzeit;
• insbesondere mit dem Verfahren ausgeführt mittels eines zuvor weiter oben beschriebenen Kommunikations- und Steuerungs-/Regelungssystems.

In other words, the invention can also be described as follows:

• A method is provided for user-data-based control/regulation of the needs-adapted operation of at least one HVAC/PCS system (1) for dynamic control/regulation of a time/location-resolved functionality of the at least one HVAC/PCS system based on a plurality of personal and person-specific definable control/regulation parameter, wherein at least one control/regulation parameter to be used for the dynamic regulation from a person-related parameter group comprising at least the following person-related parameters in relation to at least one point in time and/or in relation to at least one current or future or predefined whereabouts of a/ of the respective user is specified: individual temperature (Tp), individual humidity (Hp), individual temperature profile as a function of location and/or time (Tp(t,s)), individual humidity fluctuation as a function of location and/or time (Hp( t,s)), location of the user; wherein for the control/regulation a data transmission takes place via at least three communication paths: via a communication path between a respective person and a host, via a second communication path between a/the host and the data room, and via a third communication path between an HVAC/PCS system operator and the host and/or the data room; wherein the at least one individual is provided with an input/communication mask, in particular through cross-domain content management, for storing or entering at least one subjective comfort rating and/or the at least one personal parameter, for defining an individual personal or group-related user preference characteristic by maintaining person-specific climate preference data in the data room; wherein the at least one control/regulation parameter is generated from the data space based on time/location resolved comfort ratings and/or based on time/location resolved personal parameters according to the user preference stored in the climate preference data, for creating a time and location and user-dependent energy/climate requirement forecast; in such a way that the control/regulation of the HVAC/PCS system can be carried out dynamically based on the time/location-resolved comfort ratings and the control/regulation parameters for demand-adapted energy/climate control/regulation, in particular in real time;
• in particular with the method carried out by means of a communication and control system previously described above.

According to one embodiment, the at least one control/regulation parameter is generated based on the comfort ratings in an automated manner for the respective user, in particular with the involvement of computer program code for user-specific energy consumption optimization, in that a user-specific lower energy consumption level corresponding to a lower comfort threshold is determined, in particular by specifying a minimally small or optimal user-specific ratio of an energy consumption index and a comfort index. Optionally, the respective user can also be provided with their energy consumption index, in particular in the sense of a suggestion to save energy. Last but not least, this simplifies the efforts to set the energy consumption so low that the comfort level of the respective user in the respective living situation is just not negatively affected. The comfort index can be specified in each case with spatial and time resolution, e.g. by the user requesting a higher comfort temperature (more heat energy) for the living room and the time in the evening from around 7:30 p.m. than for the time spent in the office or in the home office.

According to one embodiment, the parameter group also includes a user-specific activity parameter, in particular characterizing the type of activity (e.g. sports, games, strength training, cooking, music, yoga, gymnastics, meditation, showering, gardening, computer games, television, media consumption in general) and the user preference for the respective activity, whereby the user activity is optionally predicted according to the stored user behavior and/or whereabouts (in particular also depending on room occupancy) and/or by reference to a time of day/annual calendar and/or based on a current heart/respiratory rate or a movement profile of the user is estimated/predefined.
According to one embodiment, the personal parameter group maintained by the user via the individual climate preference data is also optionally correlated with at least one of the following non-personal parameters to generate/specify the at least one control/regulation parameter: predicted, location-based outdoor climate conditions (temperature, humidity, precipitation) , time of day, calendar date. According to one embodiment, the climate preference data is optionally stored by the respective user in a time-specific manner (currently, for the future, or also for empirical values from the past) and/or location-specifically, in particular based on geofencing (definition of spatial areas between which control/regulation technology should be differentiated , in particular with a grid/local resolution freely selectable by the user) by correlating the climate preference data with GPS data of a current location of the respective user and/or with weather data available for the user's location (outdoor climate conditions). According to an exemplary embodiment, the time reference is based on a current time of day, in particular with regard to a user preference stored in the climate preference data with a time dependency over the course of the day.
According to one exemplary embodiment, current location data is transmitted by the respective individual via the at least one communication path and/or is retrieved from the host.
This provides the advantages previously described above, in particular in connection with the corresponding aspects of the device.

According to one exemplary embodiment, metadata from the subjectively experienced thermal/climatic experiences of the respective user are generated from the climate preference data for the purpose of adapting and future specification of the at least one control/regulation parameter. According to one embodiment, personal metadata is generated and stored in the climate preference data in the user preference characteristic, which is correlated with a personal evaluation history parameter that depicts the point in time or the age of a comfort rating or a change in the user preference characteristic. According to one exemplary embodiment, a user-specific setpoint trajectory is generated from the climate preference data, taking into account a climatic inertia of a corresponding HVAC/PCS system, in order to specify the at least one control/regulation parameter, and in terms of time it is applied to the control/regulation of the HVAC/PCS system. Systems adapted, in particular based on a HLK / PCS system-immanent control logic, in particular provided or can be made available by the HLK / PCS system operator, in particular for the purpose of saving energy. According to one embodiment, a user-specific setpoint trajectory is adapted in terms of time, taking into account a climatic inertia of a corresponding HLK / PCS system on the control of the HLK / PCS system by a HLK / PCS system-specific inertia time value at the Control / regulation of the corresponding HVAC / PCS system for specifying a switching on / off time for the HVAC / PCS system is specified, in particular based on a HVAC / PCS system-immanent control logic, in particular taking into account the thermal properties of respective climate environment (house, apartment, room, room) and by comparing target and actual climate time series.
This provides the advantages previously described above, in particular in connection with the corresponding aspects of the device.

According to one embodiment, a feedback loop is carried out with the host, in particular via the second communication path, in particular for readjusting or correcting the respective user-specific climate preference data and/or for predefined specification of future personal parameters, in particular for specific time windows or specific future locations. In this way, the time and/or location resolution can also be made more specific, in particular with regard to an optional extension with regard to user interactions (for example also room occupancy).

According to one embodiment, the user preference characteristic or the climate preference data (in particular for further specifying the at least one control/regulation parameter at a control/regulation interface of the data host) is/are based on a weighting of the respective age of multiple comfort ratings of the same user in an automated manner generated in particular with the involvement of computer program code, in that the most recent comfort rating of the user is attributed the strongest weight (the largest impact factor), in particular in such a way that the user preference characteristic is characterized by time-weighted climate preference data, in particular with the past since the corresponding rating Time of exponentially falling dependency (decreasing impact) and/or taking into account a maximum age threshold value, from which age or time value the respective rating is no longer taken into account (neglecting excessively long time recent ratings). In other words, each comfort rating is associated with a time Date is provided and a current/instantaneous user preference characteristic is generated for the respective user at the instantaneous/current control/regulation time (dynamic evaluation of the comfort ratings for the purpose of updating/adjusting the instantaneous user preference characteristic); thus there is not necessarily a predefined static user preference characteristic, but rather the user preference characteristic is determined dynamically and as up-to-date as possible for the respective control/regulation task. For example, if the user enters a daily change in the comfort rating via the input mask, e.g. due to an accident and due to the need to recover from an illness more or less motionless at home, this comfort rating has an extremely strong effect on the one carried out on the same day /control task to be executed, especially if the same user had submitted the penultimate comfort rating many days or even weeks ago. The user preference characteristic can also be interpreted as one of several objects in the data space. The user preference characteristics can be updated either continuously, regularly or as required, for example also with regard to the current age of the user (eg a small child with a climate preference that changes after a short time).

The user can also weight the individual climate parameters (particularly temperature, humidity, convection, brightness) through intensity classification, e.g. by specifying that the brightness is more important than, for example, a rise in temperature (favouring the use of thermal light Energy input for heating the house or the climatic environment, for example on a very sunny winter day when the sun is low in the sky; possibly briefly too high temperature or too bright light in the house, but seen over the day significantly improved CO ₂ footprint, since the The increased temperature caused by incident light is accepted by the user and less heating is required).

Referring to a user group and its characteristics further facilitates the implementation of the control/regulation based on comfort ratings, especially since a measurement infrastructure becomes even less important or even completely dispensable. Example: For the actual control/regulation of the HVAC system, it is then largely irrelevant whether the room temperature is already only 19°C - if the user or the user group (e.g. Olympic team or extreme athletes for winter sports) tends to have a room temperature of only 18°C or 17°C or even less, the energy-demand-optimized control/regulation can be driven further towards the minimum threshold value, in particular until a new comfort rating is received that the temperature is now slowly becoming too low. In this respect, too, the present invention is based on the concept of control/regulation based on user interests as a function of relative values and feelings, that is to say largely decoupled from absolute actual measured values. A standard room temperature recommendation of e.g. 22°C in cold regions or 24°C in warm regions may then be largely irrelevant for hotel/catering operators or similar service providers if it turns out that most users with e.g. 19°C in cold regions or 27°C in warm regions are already very satisfied. Last but not least, this also shows the large (particularly also global) energy saving potential when using the method/system according to the invention.

A user can optionally submit a comfort rating largely without any measurement infrastructure; Optionally, the user can also read measured values from ubiquitous analog/digital thermometers or weather stations (manual data maintenance) and transmit them in connection with comfort ratings or manipulated variables and/or control/regulation parameters via the input/communication mask (in particular transmit them via the corresponding communication path). to let).

It has been shown that taking into account the age of a comfort rating, in particular a disproportionate weighting of the most recent ratings, enables a user's development over time (e.g. between the ages of 12 and 50) to be taken into account on the one hand and a very good response on the other with regard to unforeseeable events or sudden changes in preferences. The following principle can be used: the older the individual rating, the less weight it has in determining/forming the overall user preference characteristic. Preferably, this time dependence is modeled as an exponential decay: w = exp(-\lambda D) with w = weight, \lambda = parameter, D = duration.
The host-side processing of the comfort ratings, taking into account the weighting (impact, time factor), provides a representation based on a model to be used in the respective application (in particular based on or including a multivariate probability distribution), which can be used to determine the optimal To predict room air conditioning, especially taking into account the local weather forecast (or generally any environmental parameters) and including a lower threshold for lower room climate acceptance (lower user-specific comfort threshold).
The duration since the user moved into a corresponding climate zone can also be taken into account in the processing of comfort ratings via a weighting, which leads to a further improvement in the informative value of the user preference characteristic. Example: For a user who enters a comparatively warm room after exercising, their initial "too hot" rating is weighted less than a renewed "too hot" rating after a certain time (taking into account inertia in subjective perception and in climatic adaptation of organisms). In this respect, the user preference characteristic (user-specific comfort profile) can also be dynamically updated against the background of subjective current perception distortions and individualized for the respective person, in particular by means of a rating based on a scalable positive or negative feedback regarding the comfort perception.

The user preference characteristics or the comfort profile can optionally also be characterized by lower and/or upper threshold values for the individual parameters, e.g. Tolerance range for accepted or just acceptable climatic variations, in particular temperature and humidity fluctuations).

According to one embodiment, the HVAC/PCS system is controlled in a dynamic manner based on the at least one control parameter, this at least one control parameter being an averaged control parameter or a control parameter weighted with respect to one or more users/individuals , which is formed from a plurality of individual control/regulation parameters of a plurality of people (individuals or groups of people), in particular in real time as a function of a momentary occupancy of a closed space by the plurality of individuals. Last but not least, this also makes climate management easier in communal households and optimizes it in terms of energy.

According to one embodiment, the user preference characteristic is a group-related user preference characteristic, with a/the respective user being assigned to a specific group of people based on user parameters, such as age, weight, height, gender, and the user preference characteristic for this user being determined deductively from the user preference characteristic of this group of people. in particular based on the evaluation of metadata. Last but not least, this also facilitates the application and implementation, even if the respective users are less inclined to give their own comfort ratings (e.g. very old users over the age of 70 who have had little or no contact with modern Internet or communication applications or no longer want this). The preference characteristic is based, for example, on at least one comfort rating from at least one other user in this user group. For a group of e.g. 30 users with the same user characteristics (e.g. all female, aged 20 to 24), it may be sufficient if only a few users submit a few comfort ratings. When referring to a user group characteristic, the concept can also be implemented that ratings from the past are weighted less. Through this type of indirect assignment of a preference characteristic via a group of people, control/regulation can already take place based on data that the respective user does not necessarily have to generate himself; rather, the user only has to make slight corrections, if at all, with regard to very specific climatic preferences, e.g. with regard to the bathroom temperature in the holiday home between 10 p.m. and midnight in November.

According to one exemplary embodiment, the communicative control/regulation is carried out by the at least one user via the input/communication mask (in particular with a GUI) by using a website which, in terms of program code, embeds at least one GUI and/or at least one inline frame in another (in particular non-system ) website is integrated, in particular through cross-domain content management, in particular embedding at least one inline frame, in particular embedding an HTML element (e.g. HTML5), the information provided by the user with regard to subjective comfort ratings and/or the at least one personal parameter is stored or adjusted . Last but not least, this also facilitates a purely user-controlled or user-side implementation. In particular, a pre-definition of any HVAC system conditions or any measurement effort can become unnecessary. As a result, the range of applications for the method/system according to the invention can also be broadened.

"Cross domain content management" or cross-domain content management is to be understood as a kind of cross-reference or programmatic, programming-technical linking in connection with the structuring of websites. Embedding takes place in particular by displaying or running web content third-party sites or third-party providers as independent documents or elements in a defined area of the browser used. Embedding is preferably based on HTML elements, in particular HTML5 elements. So-called “object” elements and/or “embed” elements and/or “ajax” elements and/or other HTML/HTML5-based web components can optionally be provided (in addition or as an alternative) to the inline frames already mentioned (non-exhaustive list of examples). The person skilled in the art can optimize the respective target-oriented programming language and the selection of the type of elements depending on the situation for the respective application and, in particular, the resources available on the user side.

The input/communication mask can also include several GUIs, in particular a first GUI for data maintenance when creating or dynamically updating the user preference characteristic, and a second GUI for the user-side definition of e.g. room indicators or for the way of weighting, e.g. with several Users of a user group (Control Setup). The respective GUI element is preferably embedded on Internet pages by means of cross-domain content management, in particular by means of inline frames. The layout or structure that is most useful in the respective application and optionally the embedding of the GUI(s) can be defined application-specifically.

According to an exemplary embodiment, at least one programming interface (using resources or infrastructure of the WWW) (open or closed) for linking or programming embedding of elements written in machine-readable language, in particular HTML elements, is provided on at least one of the communication paths, in particular a REST API ( REST Representational State Transfer; machine-to-machine communication, especially http requests). Last but not least, this also facilitates the creation and maintenance of user preference characteristics in various situations and also via third parties, e.g. via climate hosts.

"Elements written in machine-readable language" are understood to mean, for example, HTML elements for structuring, formatting, structuring of text and image and video or similar website data. HTML elements have proven to be very useful; alternatively or in addition to HTML, other markup languages can be used.

According to one embodiment, the method includes an evaluation of the time- and location- and user-dependent energy / climate demand forecast by inversion by current or future actual values of the control / regulation parameters are correlated with the climate preference data of the respective user and by the conclusion of predetermined or actually measured climatic states on an expected user preference is concluded, in particular for a load / energy consumption reduction depending on the predicted or expected user behavior and current or future user whereabouts. Last but not least, this can also improve the prognosis reliability and resilience of the control/regulation parameters specified by the data processing/processing entity, particularly when only a few current comfort ratings are available.

• - wobei die Klimapräferenzdaten für das Vorgeben von die dynamische Regelung heranzuziehender Steuerungs-/Regelungsparameter aus einer personenbezogenen Parametergruppe umfassend zumindest die folgenden personenbezogenen Parameter in Bezug auf wenigstens einen Zeitpunkt und/oder in Bezug auf wenigstens einen momentanen oder zukünftigen oder vordefinierten Aufenthaltsort eines/des jeweiligen Nutzers generiert werden: individuelle Temperatur (Tp), individuelle Luftfeuchtigkeit (Hp), individueller Temperaturverlauf als Funktion von Ort und/oder Zeit (Tp(t,s)), individuelle Luftfeuchtigkeitsschwankung als Funktion von Ort und/oder Zeit (Hp(t,s)), Aufenthaltsort des Nutzers; wobei für das Steuern/Regeln eine Datenübertragung über wenigstens drei Kommunikationspfade erfolgt: über einen Kommunikationspfad zwischen einer jeweiligen Person und einem Host, über einen zweiten Kommunikationspfad zwischen einem/dem Host und dem Datenraum, und über einen dritten Kommunikationspfad zwischen einem HLK-/PCS-System-Betreiber und dem Host und/oder dem Datenraum; wobei dem wenigstens einen Individuum eine Eingabe-/Kommunikationsmaske, insbesondere durch Cross Domain Content Management, zum Hinterlegen oder Eingeben wenigstens eines subjektiven Komfort-Ratings und/oder des wenigstens eines personenbezogenen Parameters bereitgestellt wird, zum Definieren einer individuellen personenbezogenen oder personengruppenbezogenen Nutzerpräferenzcharakteristik durch Pflegen von personenspezifischen Klimapräferenzdaten im Datenraum; wobei der wenigstens eine Steuerungs-/Regelungsparameter basierend auf zeit-/ortsaufgelösten Komfort-Ratings und/oder basierend auf zeit-/ortsaufgelösten personenbezogenen Parametern gemäß der in den Klimapräferenzdaten hinterlegten Nutzerpräferenz aus dem Datenraum generiert wird, zum Erstellen einer zeit- und orts- und nutzerabhängigen Energie-/Klima-Bedarfsprognose; derart dass die Steuerung/Regelung des HLK-/PCS-Systems auf dynamische Weise basierend auf den zeit-/ortsaufgelösten Komfort-Ratings und den Steuerungs-/Regelungsparametern zur bedarfsangepassten Energie-/Klima-Steuerung-/Regelung durchführbar ist, insbesondere in Echtzeit; insbesondere mit dem Verfahren ausgeführt mittels eines zuvor weiter oben beschriebenen Kommunikations- und Steuerungs-/Regelungssystems; wobei die Klimapräferenzdaten zum Vorgeben des wenigstens einen Steuerungs-/Regelungsparameters basierend auf einer Gewichtung des jeweiligen Alters mehrerer Komfort-Ratings desselben Nutzers auf automatisierte Weise generiert werden, indem dem jüngsten Komfort-Rating des Nutzers die stärkste Gewichtung attributiert wird, insbesondere derart, dass die Nutzerpräferenzcharakteristik durch zeitlich gewichteten Klimapräferenzdaten gekennzeichnet ist, insbesondere bei mit der seit dem entsprechenden Rating vergangenen Zeit exponentiell fallender Abhängigkeit, wobei der wenigstens eine Steuerungs-/Regelungsparameter basierend auf den Komfort-Ratings auf automatisierte Weise für den jeweiligen Nutzer für eine nutzerspezifische Energieverbrauchsoptimierung generiert wird, indem ein nutzerspezifischer unterer Energieverbrauchslevel entsprechend einem unteren Komfort-Schwellwert ermittelt wird, insbesondere durch Vorgeben eines minimal kleinen nutzerspezifischen Verhältnisses aus einer Energieverbrauchskennzahl und einer Komfort-Kennzahl.

ITEM 11 At least one of the aforementioned tasks is also solved by a method for generating and providing climate preference data for user-data-based control/regulation of the needs-based operation of at least one HVAC/PCS system (1) for dynamic control/regulation of a time/location-resolved function the at least one HVAC/PCS system based on a plurality of personal and person-specific definable control/regulation parameters,

• - the climate preference data for specifying the control/regulation parameters to be used for the dynamic regulation from a personal parameter group comprising at least the following personal parameters in relation to at least one point in time and/or in relation to at least one current or future or predefined whereabouts of a/the respective generated by the user: individual temperature (Tp), individual humidity (Hp), individual temperature profile as a function of location and/or time (Tp(t,s)), individual humidity fluctuation as a function of location and/or time (Hp(t, s)), whereabouts of the user; wherein for the control/regulation a data transmission takes place via at least three communication paths: via a communication path between a respective person and a host, via a second communication path between a/the host and the data room, and via a third communication path between an HVAC/PCS system operator and the host and/or the data room; the at least one individual being provided with an input/communication mask, in particular through cross-domain content management, for storing or entering at least one subjective comfort rating and/or the at least one personal parameter is provided, for defining an individual person-related or group-related user preference characteristic by maintaining person-specific climate preference data in the data room; wherein the at least one control/regulation parameter is generated from the data space based on time/location resolved comfort ratings and/or based on time/location resolved personal parameters according to the user preference stored in the climate preference data, for creating a time and location and user-dependent energy/climate requirement forecast; in such a way that the control/regulation of the HVAC/PCS system can be carried out dynamically based on the time/location-resolved comfort ratings and the control/regulation parameters for demand-adapted energy/climate control/regulation, in particular in real time; in particular with the method carried out by means of a communication and control system previously described above; wherein the climate preference data for specifying the at least one control/regulation parameter are generated in an automated manner based on a weighting of the respective age of several comfort ratings of the same user, in that the most recent comfort rating of the user is attributed the strongest weighting, in particular in such a way that the User preference characteristic is characterized by time-weighted climate preference data, in particular in the case of a dependency that falls exponentially with the time that has elapsed since the corresponding rating, the at least one control/regulation parameter based on the comfort ratings being generated in an automated manner for the respective user for user-specific energy consumption optimization, by determining a user-specific lower energy consumption level corresponding to a lower comfort threshold value, in particular by specifying a minimally small user-specific ratio from an energy consumption consumption index and a comfort index.

At least one of the aforementioned tasks is also achieved, as mentioned, by a computer program product comprising instructions which, when the program is executed by a computer, cause the computer to carry out the steps of a method previously described above, in particular a computer program product in the form of a smart phone application or terminal device Application (for mobile and/or communicating end devices), in particular comprising front-end computer program code for an input/communication mask for defining personal time windows (time segments) or daily time segments of individual duration for the stay of the respective user at specific locations or in specific living spaces, in particular taking into account a current whereabouts of the user, the computer program product being set up to correlate the personal time window or time periods entered via the input/communication mask Comfort ratings of the respective user. This provides the aforementioned advantages, in particular also with regard to a time/location resolution of the comfort ratings.

As mentioned, at least one of the aforementioned objects is also achieved by a computer program product comprising instructions which, when the program is executed by a computer, cause the computer to carry out the steps of a method described above, in particular a computer program product comprising back-end computer program code and set up for a server-side Processing of personal climate preference data in an automated manner and/or in response to individual user input events, both user-specific comfort ratings and personal parameters being processed in a time- and location-resolved manner, to create a user preference characteristic based on the climate preference data. This provides the aforementioned advantages, in particular with regard to the most efficient possible processing and provision of climate preference data.

It has been shown that an energy consumption optimization based on the method / system according to the invention can be carried out particularly efficiently or effectively if a lower comfort threshold value is found automatically for the respective user, i.e. an energy consumption level at which the comfort sensation is at least average good, and at the same time the energy consumption for this feeling is minimized. In this respect, one can also speak of an automatism for finding/defining the smallest possible ratio of an energy consumption index and a comfort index; The method/system according to the invention makes it possible or easier to bring the energy consumption down to a lower threshold value for a person, at which the perception of comfort or the comfort rating of the respective user is just not deteriorating. Such an automatic mechanism for finding the lower acceptance threshold, for example with regard to room air conditioning, can be switched on/off, for example also by integrating a corresponding input field in the input/communication mask. This algorithm or loop between user feedback and data preparation for Facilitating control/regulation measures of the system (e.g. a permanent reduction of the temperature in the bedroom by 1-2 °C) makes it possible in a very user-specific and very simple way to optimize the data basis for setting the room air conditioning parameters to such an extent (especially in terms of energy ) until the user comments and gives a new or worse comfort rating, i.e. until the user tells the system that the feeling of comfort is now (noticeably) worsening in order to create the corresponding data basis to go back to the other To be able to control/regulate the direction, e.g. to go back from a room temperature of 16°C to a room temperature of 17 or 18°C.

"Server-side" data processing is to be understood in particular as data handling/processing by a (data) host for the purpose of providing prepared
User/climate preference data for service providers external to the system or linked to the system according to the invention (e.g. energy management entity).

At least one of the aforementioned tasks is therefore also achieved by a computer program set up to provide or implement the user data processing and data provision described here or the method steps described here.

At least one of the aforementioned tasks is also achieved, as mentioned, by a computer program product comprising instructions which, when the program is executed by a computer, cause it to carry out the steps of a method described above, the method exclusively for data acquisition and data provision at the interface between the respective user and the at least one HVAC/PCS system operator or a non-system host.

At least one of the aforementioned tasks is also achieved, as mentioned, by using a computer program product for a method for generating user data and for providing user-specific data (in particular time series) for user-data-based control/regulation of the needs-based operation of at least one HVAC/PCS system (1st ) for dynamic control/regulation of a time/location-resolved mode of operation of the at least one HVAC/PCS system based on a plurality of personal and person-specific control/regulation parameters defined based on time- and/or location-resolved climate preference data, in particular in the case of one previously described above Procedure; where several preferably wireless communication paths are used: a first communication path between a respective person and a host and/or a data room in which a respective user preference characteristic is stored in person-specific climate preference data, a second communication path between a/the host and the respective person and/or the data room, and a third communication path between an HVAC/PCS system operator and the host and/or the data room; for the maintenance of person-specific climate preference data in the data room and for defining the user preference characteristics via an input/communication mask, in particular in the form of a website and/or based on the program code embedding of at least one inline frame, at least one subjective comfort rating and/or the at least one personal Parameter is stored as an individual user specification; wherein the user preference characteristic for generating the at least one control/regulation parameter is provided such that the comfort ratings and/or the personal parameters are combined with the system-specific control/regulation parameters to be used in the respective application for an individual user or a user group for a specific climate environment can be correlated, to create a time-, location- and user-dependent energy/climate demand forecast and in such a way that the control/regulation of the HVAC/PCS system can be carried out dynamically for needs-based energy/climate control/regulation, especially in real time,
in particular with the parameter group comprising at least the following further parameter: user-specific activity parameter, in particular time- and/or location-resolved; wherein the computer program product preferably comprises back-end computer program code and is set up for server-side processing of personal climate preference data in an automatic manner and/or in response to individual user input events. This results in the advantages mentioned above, especially on the back-end side.

At least one of the aforementioned objects is also achieved, as mentioned, by using a computer program product for a/the method described above for generating user data and for providing user-specific data (in particular time series) for user-data-based control/regulation of the needs-adapted operation of at least one HVAC /PCS system for dynamic control/regulation of a time/location-resolved mode of operation of the at least one HVAC/PCS system based on a plurality of personal and person-specific control/regulation parameters defined based on time- and/or location-resolved climate preference data; where a user-spec The at least one HVAC/PCS system is controlled and optionally also regulated by a representation being created during data processing based on generated personal climate preference data, in which the comfort ratings, personal parameters and climate data are combined, in particular using algorithms based on artificial intelligence. Last but not least, the model-based generation of a representation, in particular a multivariate probability distribution, makes it easier to overcome complexity and data provision hurdles. When generating/correlating/providing person-specific climate preference data and/or control/regulation parameters, a calculation model-based representation (in particular multivariate probability distribution), in particular based on artificial intelligence algorithms (possibly self-learning), can combine the individual user ratings even more efficiently with current phenomena such as the number of the people in a room, or climatic (outside) conditions, so that the data basis and significance of the data determined can be improved. This type of representation also makes it possible to make predictions for at least one controllable/adjustable manipulated variable or for the at least one control/regulation parameter for the respective HVAC/PCS system, in particular to maximize the subjective user-specific comfort and to minimize the associated energy demand used. This results in the advantages mentioned above, in particular also with regard to a strong individualization of a plurality of HVAC systems through central data management and data processing and data provision, in particular with minimized sensory or measurement technology effort, in particular largely independent of technical characteristics of a respective HVAC system systems. The time series that can be generated can also be described as a/the result of the processing of predictions based on the respective user preference characteristics (return to the recorded or generated data basis).

As mentioned, at least one of the aforementioned objects is also achieved by using a computer program product for providing a communication and control/regulation system for user-data-based control/regulation of the needs-adapted operation of at least one HVAC/PCS system by dynamic control/regulation of a time/ spatially resolved functioning of the at least one HVAC/PCS system based on a plurality of personal and person-specific defined control/regulation parameters (Pp; Hp, GPSp, Tp), for specifying the at least one control/regulation parameter based on a personal or group-related parameter group ( GPp) in particular comprising temperature (Tp) and humidity parameters (Hp), and for providing an input/communication mask for maintaining person-specific climate preference data, in particular through cross-domain content management, and for detecting entered subjective comfort location ratings (Sp) and/or at least one personal parameter (Pp), and for creating a personal or group-related user preference characteristic (4) based on time- and/or location-resolved comfort ratings (Sp); and for providing the time/location resolved comfort ratings (Sp) and control/regulation parameters (Pp) for a/the HVAC/PCS system operator for the dynamic control/regulation of the respective HVAC/PCS system, in particular Real time. This results in the advantages mentioned above, in particular with regard to data processing at the interface between several users and several hosts or service providers of different types.

In the case of a parameter group related to a group of people, it can also be taken into account, for example, that certain people/users want control primarily based on control parameters that are to be weighted more heavily, e.g. less moisture-heavy, but more temperature-heavy, or with regard to predefinable threshold values (e.g. maximum temperature not exceeding 24°C , not even if this would theoretically be necessary for control purposes, e.g. with regard to system inertia or with regard to momentary radiation influences). As a result, the quality of the climate preference data provided (climatic user preference data) can be further improved.

At least one of the aforementioned tasks is also achieved, as mentioned, by using a computer program product for a method for processing user data for providing climate preference data for user-data-based control/regulation of the needs-adapted operation of at least one HVAC/PCS system (1) for dynamic control/regulation a time/location-resolved mode of operation of the at least one HVAC/PCS system based on a plurality of personal and person-specific control/regulation parameters defined based on time- and/or location-resolved climate preference data, in particular in a previously described method; wherein at least one preferably wireless communication path is used between an HVAC/PCS system operator and the host and/or a data room, in which a respective user preference characteristic in per sun-specific climate preference data is stored, wherein a further communication path between a respective person and the data room and a further communication path between a host and the respective person and/or the data room can be used; the maintenance of person-specific climate preference data in the data room and the definition of the user preference characteristics via an input/communication mask, in particular in the form of a website and/or based on the program code embedding of at least one inline frame, on the user side via at least one subjective comfort rating and/or via the at least one personal parameter can be implemented as an individual user specification; wherein the user data from the user preference characteristics are provided for generating the at least one control/regulation parameter, wherein the comfort ratings or manipulated variable(s) and/or the personal parameters with the in the respective application for an individual user or a user group for a specific Climate environment to be applied, system-specific control / regulation parameters are correlated for a time- and location- and user-dependent energy / climate demand forecast, the control / regulation of the HVAC / PCS system in a dynamic way for needs-based energy / climate control -/Regulation is carried out, in particular in real time, in particular with the parameter group comprising at least the following additional parameter: predicted location-based and time-resolved outdoor climate condition, correlated with at least one of the personal parameters. This results in the aforementioned advantages, in particular also on the part of an HVAC/PCS system operator and/or an energy management entity.

At least one of the aforementioned tasks is also achieved, as mentioned, by using a computer program product for processing user data to provide climate preference data for dynamic user-data-based control/regulation of a needs-adapted time/location-resolved mode of operation of at least one HVAC/PCS system (1), wherein the climate preference data is provided based on user-specific comfort ratings, which are used to create a user preference characteristic, the climate preference data to be provided from the user preference characteristic, in particular taking into account current states of the environment to be air-conditioned, in particular ambient temperature and ambient humidity (inside, outside), and/ or the respective user, in particular their activity, are generated and in particular based on a model-based representation, in particular based on a multivariate probability v grant, are provided in the form of a daily/seasonal and/or location-dependent target value trajectory; whereby a user-specific detection, consideration or processing of at least one feature, one variable or at least one parameter from the following group or in connection with one of the following functionalities is carried out by means of the computer program product: Definition of the parameter set that can be used, in particular temperature, humidity, time and/or Location resolution, in particular user-specific room usage/occupancy; Comfort ratings as a user-scaled relative control variable with regard to the perception of comfort, in particular with time-dependent weighting of the individual ratings of the same user among each other; Cross domain content management, in particular in the form of inline frames that can be embedded on non-system websites; Correlation of user preference characteristics with current external parameters, in particular weather data, current location of the user, activity of the user, in particular also using or based on AI-based algorithms; Definition of user groups and optional weighting of the influence of a rating among the users within a group, whereby data on the climatic preferences of the respective user group can optionally also be supplied from external databases; automatic approach to a lower climatic tolerance limit, e.g. a minimum temperature, in order to determine a user-specific possible minimum energy consumption; Creating a user-specific energy/climate requirement forecast, in particular for a period of several hours, days, weeks or months; in particular by means of a previously described communication and control/regulation system. This provides the aforementioned advantages.

character list

• 1 in schematischer Darstellung ein Kommunikations-/Steuerungs-/Regelungssystem gemäß einem Ausführungsbeispiel;
• 2 in schematischer Darstellung die Einbindung von Schnittstellen in ein Kommunikations-/Steuerungs-/Regelungssystem gemäß dem Ausführungsbeispiel der 1 oder gemäß einem weiteren Ausführungsbeispiel;
• 3 in schematischer Darstellung ein Kommunikations-/Steuerungs-/Regelungssystem gemäß einem weiteren Ausführungsbeispiel, insbesondere bei Variation der Kommunikationspfade;
• 4 eine schematische Darstellung von optionalen Kommunikationspfaden zu einem weiteren Host (Klima-Host) für eine Datenbereitstellung in einem Kommunikations-/Steuerungs-/Regelungssystem bzw. -verfahren gemäß einem der zuvor beschriebenen Ausführungsbeispiele oder einem weiteren Ausführungsbeispiel;
• 5 in schematischer Darstellung ein Kommunikations-/Steuerungs-/Regelungssystem gemäß einem weiteren Ausführungsbeispiel, wobei automatisiertes Abrufen von personenbezogenen Steuerungs-/Regelungsparametern durch einen oder mehrere Hosts erfolgt;
• 6 in schematischer Darstellung eine beispielhafte GUI zur Einbindung in eine Eingabe-/Kommunikationsmaske eines Kommunikations-/Steuerungs-/Regelungssystems gemäß Ausführungsbeispielen;
• 7 in schematischer Darstellung eine Übersicht zur Art und Weise der Nutzung eines Kommunikations-/Steuerungs-/Regelungssystems gemäß Ausführungsbeispielen durch mehrere Entities;
• 8 in schematischer Darstellung eine Systematik zum Generieren einer Nutzerpräferenzcharakteristik mittels eines Kommunikations-/Steuerungs-/Regelungssystems bzw. -verfahrens gemäß Ausführungsbeispielen;
• 9 in schematischer Darstellung eine Systematik zum Generieren einer Komfort-Trajektorie mittels eines Kommunikations-/Steuerungs-/Regelungssystems bzw. -verfahrens gemäß Ausführungsbeispielen;
• 10 in schematischer Darstellung eine Systematik zum Erfassen bzw. Bestimmen eines tatsächlichen subjektiv empfundenen Komforts des jeweiligen Nutzers (Komfort-Zufriedenheit) mittels eines Kommunikations-/Steuerungs-/Regelungssystems bzw. -verfahrens gemäß Ausführungsbeispielen;

The invention is described in more detail in the following drawing figures, reference being made to the other drawing figures for reference symbols which are not explicitly described in a respective drawing figure. Show it:

• 1 a schematic representation of a communication/control/regulation system according to an embodiment;
• 2 in a schematic representation of the integration of interfaces in a communication / control / regulation system according to the embodiment of 1 or according to another embodiment;
• 3 a schematic representation of a communication/control/regulation system according to a further exemplary embodiment, in particular when the communication paths are varied;
• 4 a schematic representation of optional communication paths to a further host (climate host) for data provision in a communication/control/regulation system or method according to one of the exemplary embodiments described above or a further exemplary embodiment;
• 5 a schematic representation of a communication/control/regulation system according to a further exemplary embodiment, with automated retrieval of personal control/regulation parameters being carried out by one or more hosts;
• 6 a schematic representation of an exemplary GUI for integration into an input/communication mask of a communication/control/regulation system according to exemplary embodiments;
• 7 in a schematic representation an overview of the manner in which a communication/control/regulation system is used according to exemplary embodiments by a plurality of entities;
• 8th a schematic representation of a system for generating a user preference characteristic by means of a communication/control/regulation system or method according to exemplary embodiments;
• 9 a schematic representation of a system for generating a comfort trajectory by means of a communication/control/regulation system or method according to exemplary embodiments;
• 10 a schematic representation of a system for detecting or determining an actual subjectively perceived comfort of the respective user (comfort satisfaction) by means of a communication/control/regulation system or method according to exemplary embodiments;

DETAILED DESCRIPTION OF THE FIGURES

The invention will first be explained with general reference to all reference numerals and figures. Special features and individual aspects of the present invention are discussed in connection with the respective figure, each of which relates to a communication/control/regulation system 100 according to exemplary embodiments of the invention.

In a data room 3, in particular in a cloud, a user preference characteristic 4 with individual climate preference data D is stored for a respective user I or at least for a user group GI, in particular as a data basis for generating user-specific climate/comfort time series, in particular time/location resolved . The climate/comfort time series can also be described as the result of the evaluation of the respective user preference characteristics. The user preference characteristic 4 is determined based on subjective, personal comfort ratings Sp of the respective user I (or from the user-related control variables that can be determined therefrom) and/or from at least partially automatically retrievable personal control/regulation parameters Pp (e.g. personal parameter group GPp comprising the user-specific humidity Hp, the user-specific location/time-resolved humidity profile Hp(t,s), a user-specific location and/or distance parameter GPSp (in particular also including a room code S _n ), an individual temperature Tp and/or an individual temperature profile Tp(t ,s)), in particular from a host 5 or from a data handling/processing entity 5. A temporal resolution can also be taken into account in the form of a personal evaluation history parameter Dp, in particular taking into account the topicality and the impact of a rating Sp ei nes individual user or a user group GI (e.g. married couple with two children, one of which is a newborn child with a large impact on its rating). Distortions can be prevented by taking into account the age of a respective rating or corresponding information, and an evolution or tendency in the user's perception of comfort can be taken into account with good resilience.

The user preference characteristic 4 or the user-specific control/regulation parameters Pp that can be generated from it can be provided for at least one other entity, in particular for another host (climate host) 6 or for climate service providers, e.g. hotel service providers, and/or for an HVAC -/HVAC system operator 7 or an energy management entity or a building management system BMS.

One or more HVAC/PCS systems or HVAC/PCS systems 1, which can each be controlled or regulated based on the determined user preference characteristic 4, in particular with regard to minimizing the user-specific energy consumption or user-specific energy requirement (perception), are, for example, in a closed or delimitable climatic environment 9 in the form of a single-family house or school or official building (e.g. municipal isches Rathaus) or hotel or restaurant.

Different communication paths 10 (preferably wireless) can be used or provided, in particular at least one first communication path 11, at least one second communication path 12, 12a, at least one third communication path 13, and/or at least one fourth communication path 14 (between HVAC/PCS system and system operator). A smart phone, tablet, smart watch, data glasses or similar mobile or stationary end devices (non-exhaustive list), for example, are suitable as an input/communication device 20, in particular for issuing comfort ratings Sp.

A computer program product 30 can provide or include one or more open and/or closed programming interfaces 31, 32, 33 (e.g. API, REST API, mobile application, web interface). At least the programming interfaces to other non-system hosts or energy management entities or HVAC/PCS system providers are preferably open programming interfaces.

The respective user I or the other communication partners can submit a rating Sp via an input/communication mask or GUI 15 . The user can optionally also directly set a humidity preference Hp, an individual location/time-resolved humidity profile preference Hp(t,s), an individual temperature preference Tp, and/or an individual location/time-resolved temperature fluctuation preference Tp(t,s) or other preferences or Store key figures (e.g. weighting of individual ratings in a group of individuals, e.g. higher weighting for the parents of a family) via the input/communication mask 15.

In the 1 a view of an overall system with different providers 5, 6, 7 or entities is shown. The users I are (currently) somewhere in the vicinity or in predefined climatic environments 9 . For a local resolution of the control/regulation, the climate preference data can optionally be formed automatically and/or with support from the user. For example, the users I can each assign a room code S _n individually or as a group GI for the individual rooms of a house 9, eg a first room code S ₁ for the bedroom and a second room code S ₂ for the kitchen. This also facilitates room climate control/regulation with regard to the type of room and use of the room. Optionally, for example, a room orientation and the number and size of window areas can also be taken into account, in particular for the consideration of heat/light radiation at certain times of the day. The latter can also be learned, in particular using artificial intelligence methods, for example taking into account the orientation and/or size of the respective window area and manufacturer-specific (heat) transfer coefficients and/or the current time of day/season (position of the sun), cloudiness or the like .

With reference to 1 it can also be clarified that the data host 5 is located at the interface between the respective user and their ratings on the one hand and other hosts that are external to the system and operate closer to the climate control/regulation side on the other hand, and serves these interfaces, in particular by using the climate preference data generated in the form of time series and made available for one or more non-system hosts in processed form. The data host 5 accordingly supplies the (data) basis for the further steps for the implementation of specific climatic measures. The latter can also be implemented by the data host 5, but this does not have to be the case. Depending on the definition of the control/regulation level, the data host 5 is therefore a pure data preparation entity or optionally also an entity involved in the respective climate control/regulation that is actually taking place. The invention can probably be implemented in a simpler way for the different applications if the data host 5 only acts on the data processing and data provision level.

In the 2 Interfaces 31, 32, 33 are indicated on individual communication paths, on which the users I and the hosts 5, 7 involved are given the opportunity for data maintenance or data provision or data acceptance/data transfer. At least one GUI 15 is provided at least at the interface 31 to the respective user.

In the 3 an alternative arrangement of communication paths is indicated. A computer program product 30 is provided in particular by the data handling/processing entity 5 and can include a number of programming interfaces or interfaces 31, 32, 33, in particular for one of the communication paths in each case.

In the embodiment according to 3 the host 5 corresponds to the HVAC/HVAC system operator or the energy management entity 7, so that a/the fourth communication path is dispensable.

In the 4 the interposition of the data handling/processing entity 5 between the user and another service provider 6 (in particular hotel operators or the like) is explained. By embedding (or by cross domain content management), the method or system according to the invention can be used, for example, by one or more other hosts 6 (climate host), which makes the application particularly user-friendly for the user, in particular regardless of how often or how many different hosts 6 are addressed by the respective user I. The communication path 12a leads to the climate host 6, which offers a service related to climate-controlled environments, such as hotel accommodation. The user I communicates either exclusively with the climate host 6, or optionally both with the data processing entity 5 and with the climate host 6. In this respect, the user is free to choose whether a comfort rating to the Climate host 6 and/or is delivered to the data processing/processing entity 5.

This in 4 The principle of the communication structure shown can each be implemented in the exemplary embodiments described above.

In 5 an automated retrieval of parameters or actual instantaneous measured values is illustrated. The respective user I communicates, for example, exclusively with the data processing entity 5, and one or more hosts or climate service providers 6 call up actual measured values (eg temperature, temperature profile) in a climate environment 9 and/or on individual devices 1. By networking the service providers 6 with the data processing entity 5, current or dynamically updated climate preference data can be taken into account more or less in real time.

In 6 a GUI 15 is illustrated, via which a scalable comfort rating Sp can be entered, for example on a SmartPhone 20, for example on a scale from 1 (not at all comfortable) to 5 (very comfortable) with regard to the overall comfort sensation or just with regard eg the perception of heat (control variables then eg only temperature and/or humidity), or eg with regard to fresh air, light impact and/or acoustic influences. The latter can be perceived as disadvantageous, for example, if the climatic environment to be air-conditioned (room, apartment, house, or the like) is on a street or near a large waterfall. Optionally, the same GUI 15 or another GUI can also be used to store user-specific parameters Pp, e.g. a desired temperature profile (T(t)), in particular based on time and/or location (e.g. per living space, e.g. cooler in the morning than in the evening).

In 7 exemplary possible uses are explained in more detail: The dashed line indicates a system boundary to the data host 5 . The generation of a comfort trajectory in response to a request from the HVAC/PCS system 1 and/or from another host 6, 7 is shown. Alternatively, automatic generation based on initial conditions and regular repetition can also be implemented. The letter "y" means in the respective flowchart (also 8th until 10 ) each have a yes/yes branch, and the letter “n” means a no/no branch.

• Schritt 201: Es wird ein Datenverarbeitungs-Vorgang beim Host 5 initiiert.
• Schritt 202: Diese Abfrage bzw. Entscheidung verifiziert, ob die aktuelle Zeit (Zeitpunkt) den Startzeitpunkt der angeforderten Komfort-Trajektorie abzüglich der notwendigen Vorlaufzeit zur Sicherstellung der klimatischen Konditionierung erreicht hat. Falls es noch zu früh ist, wird im Schritt 203 der Prozess angehalten bzw. noch „on hold“ gesetzt, bis dieser Zeitpunkt erreicht wird. Falls der Zeitpunkt erreicht wurde, wird mit dem Schritt 204 fortgefahren.
• Schritt 203: Der Prozess wird angehalten, bis die Fortsetzungsbedingungen erfüllt sind. Schritt bzw. Feld 204: Für den ersten (oder einzigen) Nutzer I in der Personengruppe GI wird der momentane und vorhersagbare Zustand ermittelt.
• Schritt 205: Eine Komfort-Trajektorie wird basierend auf dem momentanen und vorhersehbaren Zustand des Nutzers I und der vorausgesagten klimatischen Bedingungen und seiner Nutzerpräferenzcharakteristik insbesondere unter Berücksichtigung seines minimalen Komfort-Schwellwertes generiert.
• Schritt 206: Falls noch weitere Nutzer I in der Personengruppe GI vorhanden sind, werden die Schritte 204 und 205 wiederholt.
• Schritt 207: Sind mehrere Nutzer im zu klimatisierenden Raum anwesend, werden alle Komfort-Trajektorien der Nutzer der Gruppe GI zu einer einzigen Komfort-Trajektorie verarbeitet bzw. konsolidiert (Datenzusammenführung). Daher überprüft diese Entscheidung nach der Generierung aller in der entsprechenden Situation relevanten Komfortprofile, ob es auch mehrere Nutzer in der Personengruppe GI gibt. Alternativ könnte sequentiell die finale Komfort-Trajektorie mit jeder neuen individuellen Komfort-Trajektorie vor der entsprechenden Daten-Übermittlung aktualisiert werden.
• Schritt 209: Wenigstens eine Entity 1, 6, 7 wendet die vom Daten-Host 5 übermittelte Komfort-Trajektorie an, um demnach den Raum bzw. die Klimaumgebung nach deren Vorgaben zu konditionieren. Hier wird eine Steuerung dargestellt, welche ohne Einflussnahme des Nutzers vorgenommen wird, was einem bevorzugten anwendungs-/nutzerfreundlichen Szenario entspricht. Dies schließt jedoch keinesfalls Eingriffe auf die Konditionierung des Raumes durch den Nutzer während des Aufenthalts aus.

Step or field 200: An HVAC/PCS system operator 1 or another host 6, 7 can request processed climate preference data D, in particular a request for a comfort trajectory for users n in a specific group GI at a specific location (GPS data ) for a specific point in time t and/or for a specific (usage) period for a specific room in a predefined building.

• Step 201: A data processing operation at the host 5 is initiated.
• Step 202: This query or decision verifies whether the current time (time) has reached the start time of the requested comfort trajectory minus the necessary lead time to ensure the climatic conditioning. If it is still too early, in step 203 the process is halted or set “on hold” until this point in time is reached. If the point in time has been reached, step 204 is continued.
• Step 203: The process is halted until the continuation conditions are met. Step or field 204: The current and predictable state is determined for the first (or only) user I in the group of persons GI.
• Step 205: A comfort trajectory is generated based on the current and foreseeable state of the user I and the predicted climatic conditions and his user preference characteristics, in particular taking into account his minimum comfort threshold value.
• Step 206: If there are other users I in the person group GI, steps 204 and 205 are repeated.
• Step 207: If several users are present in the room to be air-conditioned, all the comfort trajectories of the users in group GI are processed into a single comfort trajectory or consolidated (data merging). Therefore, after the generation of all comfort profiles relevant in the corresponding situation, this decision checks whether there are also several users in the group of people GI. Alternatively, the final comfort trajectory could be sequentially updated with each new individual comfort trajectory before the corresponding data transmission.
• Step 209: At least one entity 1, 6, 7 uses the comfort trajectory transmitted by the data host 5 in order to condition the room or the climatic environment according to their specifications. A control is shown here that is carried out without the user having any influence, which corresponds to a preferred application/user-friendly scenario. However, this in no way excludes interventions in the conditioning of the room by the user during their stay.

• Schritt 300: Der Prozess wird mit der Registrierung eines Nutzers gestartet.
• Schritt 301: Falls die Registrierung über eine Eingabeterminal 15, 20 erfolgt ist, so kann die Registrierung mit einem Komfort-Rating gekoppelt sein; falls kein Komfort-Rating vorliegt, kann mit Schritt 309 fortgefahren werden; falls Komfort-Rating vorliegen, wird mit Schritt 302 fortgefahren.
• Schritt 302: Anwendung von Komfort-Ratings und der damit korrelierten Zustände des Nutzers (insbesondere momentane Aktivität) sowie klimatischer (Außen-)Bedingungen und Meta-Daten, zur Aktualisierung der Nutzerpräferenzcharakteristik, insbesondere unter Berücksichtigung des Alters der neuen und der vorherigen (älteren, zurückliegenden) Komfort-Ratings des Nutzers.
• Schritt 303: Hier wird überprüft, ob der Nutzer einer Nutzergruppe zugeordnet ist. Falls dem so ist, wird mit Schritt 305 fortgefahren. Falls dem nicht so ist, wird mit Schritt 304 fortgefahren.
• Schritt 304: Da es nicht zwingend eine Nutzergruppe mit deren Nutzer(gruppen)präferenzcharakteristik zu den Komfort-Erwartungen des hier verarbeiteten Nutzers passen muss (kein Matching), wird in diesem Schritt überprüft, ob es eine Nutzergruppe gibt, die (besser) zum verarbeiteten Nutzer passt. Falls dem so ist, wird der Prozess mit Schritt 307 fortgesetzt. Falls der Nutzer nicht mit einer (bzw. mit keiner) Nutzergruppe matcht, wird mit Schritt 306 fortgesetzt.
• Schritt 305: In diesem Schritt wird überprüft, ob die aktualisierte Nutzerpräferenzcharakteristik mit derjenigen der Gruppe übereinstimmt, welcher der Nutzer zugeordnet ist. Falls eine Übereinstimmung gegeben ist, wird mit Schritt 308 fortgefahren. Im gegensätzlichen Fall wird der Prozess mit Schritt 304 fortgesetzt.
• Schritt 306: Falls es eine Zuordnung zwischen Nutzer und Nutzergruppe gibt, wird diese aufgehoben.
• Schritt 307: Ordne den Nutzer der angepassten neuen (besser passenden) Nutzergruppe zu.
• Schritt 308: Aktualisiere die Nutzergruppenpräferenzcharakteristik unter Einbezug mit der aktualisierten Nutzerpräferenzcharakteristik der Nutzers I. Der Schritt 308 kann dabei auch wenigstens einen selbstlernenden Algorithmus umfassen, insbesondere zum nachhaltigen Erstellen einer belastbaren Nutzergruppenpräferenzcharakteristik. Die Begriffe Nutzergruppenpräferenzcharakteristik und Nutzerpräferenzcharakteristik können hier synonym verstanden werden, also der Oberbegriff Nutzerpräferenzcharakteristik kann den Begriff Nutzergruppenpräferenzcharakteristik umfassen (implizieren).
• Schritt 309: In diesem Schritt wird überprüft, ob vom jeweiligen Nutzer oder im Zusammenhang mit dem jeweiligen Nutzer Meta-Daten erfasst worden sind. Diese können dazu herangezogen werden, den Nutzer I mit besserem Matching einer Gruppe zuzuordnen, wie es im Schritt 310 erläutert wird. Schritt 310: Wende Meta-Daten an, um den entsprechenden Nutzer einer (neuen, alternativen) Nutzergruppe zuzuordnen.

In 8th an example process related to data maintenance by a user is described; in particular, it is shown how, after a user has registered, their user preference characteristics can be generated or updated; insofar describes 8th also the data acquisition and processing aspects of the present invention, i.e. actions of the data host 5 at the user-side interface:

• Step 300: The process is started with the registration of a user.
• Step 301: If the registration took place via an input terminal 15, 20, then the registration can be linked to a comfort rating; if there is no comfort rating, proceed to step 309; if there are comfort ratings, step 302 is continued.
• Step 302: Application of comfort ratings and the states of the user correlated therewith (in particular current activity) as well as climatic (external) conditions and meta data, for updating the user preference characteristics, in particular taking into account the age of the new and the previous (older, past) comfort ratings of the user.
• Step 303: Here it is checked whether the user is assigned to a user group. If so, proceed to step 305. If not, step 304 is continued.
• Step 304: Since a user group with its user (group) preference characteristics does not necessarily have to match the comfort expectations of the user being processed here (no matching), it is checked in this step whether there is a user group that is (better) the processed user fits. If so, the process continues at step 307. If the user does not match any (or any) user group, step 306 is continued.
• Step 305: In this step, it is checked whether the updated user preference characteristic matches that of the group to which the user belongs. If there is a match, step 308 is entered. Otherwise the process continues with step 304 .
• Step 306: If there is an association between user and user group, this is canceled.
• Step 307: Assign the user to the adjusted new (better match) user group.
• Step 308: update the user group preference characteristic, including the updated user preference characteristic of user I. Step 308 can also include at least one self-learning algorithm, in particular for creating a resilient user group preference characteristic over the long term. The terms user group preference characteristic and user preference characteristic can be understood synonymously here, ie the generic term user preference characteristic can include (imply) the term user group preference characteristic.
• Step 309: In this step, it is checked whether metadata has been recorded by the respective user or in connection with the respective user. These can be used to assign the user I to a group with better matching, as explained in step 310. Step 310: Apply meta data to assign the corresponding user to a (new, alternative) user group.

With regard to a user group preference characteristic, it should be mentioned that the system/method according to the invention can distinguish between two types of users, in particular depending on their group assignment: Users be a merged or consolidated trajectory based on the multiple users, or the target value trajectory is only generated by the fact that the user (in particular also based on meta data) is assigned to a user group / was, for which user group the target value trajectory is generated based on the situation, in particular also depending on the current activity of the user. The term user includes both of these interpretations unless otherwise explained in the present disclosure.

• Schritt 400: Der Prozess wird mit einer Anfrage einer Komfort-Trajektorie für Nutzer I begonnen.
• Schritt 401: Nach dem Prozessstart wird verifiziert, ob der Nutzer I bereits eine Nutzerpräferenzcharakteristik 4 besitzt. Falls dem so ist, wird der Prozess mit Schritt 402 fortgesetzt. Im gegensätzlichen Fall wird mit Schritt 403 fortgesetzt.
• Schritt 402: In diesem Schritt wird die hinterlegte individuelle Nutzerpräferenzcharakteristik ermittelt bzw. herangezogen.
• Schritt 403: Es wird in diesem Schritt überprüft, ob der Nutzer I einer Personengruppe GI zugeordnet ist. Falls dem so ist, wird mit Schritt 404 fortgesetzt. Im gegensätzlichen Fall wird mit Schritt 405 fortgesetzt.
• Schritt 404: In diesem Schritt wird die hinterlegte Nutzergruppenpräferenzcharakteristik ermittelt bzw. herangezogen.
• Schritt 405: Da es für diesen (neuen) Nutzer weder eine individuelle Nutzerpräferenzcharakteristik noch eine Nutzergruppenpräferenzcharakteristik gibt, wird zunächst eine/die beim Daten-Host hinterlegte Standardpräferenzcharakteristik genutzt. Hierdurch kann sichergestellt werden, dass jeder Nutzer die im Allgemeinen als bestmöglich anerkannte Komfort-Erfahrung macht, insbesondere da die Standardpräferenzcharakteristik basierend auf allen Nutzern des Systems bzw. den Nutzern der entsprechenden Nutzergruppe regelmäßig aktualisiert werden kann.
• Schritt 406: In diesem Schritt wird die Komfort-Trajektorie mit der ermittelten Präferenzcharakteristik unter Berücksichtigung des Zustands des Nutzers und/oder einer Klima-/Wettervorhersage und/oder des Raumtyps (sowie gegebenenfalls einer Raumbelegung) und eingestellten oder automatisch ermittelten, minimalen Komfort-Schwellwerten ermittelt.

In 9 Figure 1 shows an exemplary process associated with requesting a comfort trajectory (request for service from a non-system host, eg, from an HVAC/PCS system operator); insofar describes 9 also the data provision side of the present invention, ie actions of the data host 5 at or for a control/regulation interface.
The generation of the comfort trajectory for an individual user is shown in this flowchart, in particular depending on whether the respective user already has a comfort profile or can be assigned to a user group with a predefined comfort profile. The condition that initiates this processing is not shown. It could optionally be automatic processing or on-demand processing.

• Step 400: The process is started with a request for a comfort trajectory for user I.
• Step 401: After the start of the process, it is verified whether the user I already has a user preference characteristic 4 . If so, the process continues at step 402. In the opposite case, step 403 is continued.
• Step 402: In this step, the stored individual user preference characteristic is determined or used.
• Step 403: In this step, it is checked whether the user I is assigned to a group of people GI. If so, step 404 continues. In the opposite case, step 405 is continued.
• Step 404: In this step, the stored user group preference characteristic is determined or used.
• Step 405: Since there is neither an individual user preference characteristic nor a user group preference characteristic for this (new) user, a/the standard preference characteristic stored at the data host is used first. In this way it can be ensured that each user has the comfort experience that is generally recognized as being the best possible, in particular since the standard preference characteristic can be regularly updated based on all users of the system or the users of the corresponding user group.
• Step 406: In this step, the comfort trajectory is compared with the determined preference characteristic, taking into account the state of the user and/or a climate/weather forecast and/or the room type (and, if applicable, a room occupancy) and set or automatically determined minimum comfort threshold values determined.

• Schritt 500: Der Verarbeitungsprozess beginnt durch die Erfassung eines neuen Komfort-Ratings des Nutzers, bzw. durch entsprechende Datenpflege durch den Nutzer I.
• Schritt 501: Grundsätzlich besteht die Möglichkeit, ein Komfort-Rating zu jeglichen Gebäuden und beliebigen Räumen vorzunehmen, in denen das Raumklima konditioniert wird. Daher wird in diesem Schritt überprüft, ob das Rating ein Gebäude betrifft, welches dem System (bzw. Daten-Host) bekannt ist. Im gegeben Fall wird der Prozess mit Schritt 502 fortgesetzt, im gegensätzlichen mit Schritt 507.
• Schritt 502: Es wird derjenige Raum ermittelt, mit welchem das Komfort-Rating assoziiert wird. Hier können zwei Fälle unterschieden werden. Im ersten Fall befindet sich der Nutzer momentan in demjenigen Raum (Klimaumgebung), zu welchem das Komfort-Rating abgegeben wird, oder aber der Nutzer bewertet sein Komfortempfindung im Nachhinein. In beiden Fällen ist es wünschenswert, den Raum zu ermitteln. Falls kein Raum ermittelt werden kann, so wird das Komfort-Rating mit einem Standardraum bzw. einer möglicherweise nutzerspezifizierten Standard-Klimaumgebung assoziiert. Schritt 503: Um den Eingabeaufwand für den Nutzer so gering wie möglich zu gestalten, wird ermittelt, ob es aktuelle Klimabedingungen zum momentan genutzten Raum gibt. Falls dem so ist, wird mit Schritt 504 fortgesetzt. Im gegensätzlichen Fall wird mit Schritt 505 fortgesetzt.
• Schritt 504: Das Komfort-Rating wird mit den erfassten Raumklimabedingungen assoziiert.
• Schritt 505: Auf Grund von Wärmeaustauschphänomene zwischen den Räumlichkeiten in einem Gebäude ist davon auszugehen, dass andere Räume ähnlich konditioniert sind wie derjenige Raum, für welchen das Komfort-Rating erfasst worden ist. Falls keine Raumklimabedingungen bekannt bzw. hinterlegt sind, können als Rückfalllösung die über das Gebäude gemittelten Raumklimabedingungen herangezogen werden. Falls diese jedoch nicht existieren, wird mit Schritt 507 fortgesetzt, andernfalls mit Schritt 506.
• Schritt 506: Das Komfort-Rating wird mit den erfassten Gebäudeklimabedingungen assoziiert.
• Schritt 507: Nur wenn es anders nicht möglich ist, wird der Nutzer aufgefordert, die zu assoziierenden Klimabedingungen zu erfassen. Dies kann der Nutzer beispielsweise auch manuell bzw. analog durch Ablesen von Wetterstationen oder Thermometern bewerkstelligen; wahlweise können auch offene Sensorschnittstellen ausgelesen bzw. über den Nutzer zugänglich gemacht werden.
• Schritt 508: Der letzte Verarbeitungsschritt ist die Speicherung der Klimabedingungen, des wenigstens einen Komfort-Ratings und des Nutzerzustands (falls vorhanden) im Datenraum 3.

In 10 a process of data maintenance and processing in connection with comfort ratings is explained, in particular taking into account specific climate environments and optionally also external (weather) data. The flowchart illustrates how a comfort rating can be recorded or processed.

• Step 500: The processing begins with the recording of a new comfort rating for the user, or with appropriate data maintenance by user I.
• Step 501: In principle, there is the possibility of carrying out a comfort rating for any building and any room in which the room climate is conditioned. Therefore, in this step, it is checked whether the rating relates to a building that is known to the system (or data host). If so, the process continues with step 502, otherwise with step 507.
• Step 502: The room with which the comfort rating is associated is determined. Two cases can be distinguished here. In the first case, the user is currently in the room (climate environment) for which the comfort rating is given, or the user evaluates his comfort sensation afterwards. In both cases it is desirable to determine the space. If no room can be determined, the comfort rating is associated with a standard room or a possibly user-specified standard climate environment. Step 503: In order to keep the input effort for the user as low as possible, it is determined whether there are current climatic conditions for the room currently being used. If so, step 504 continues. In the opposite case, step 505 is continued.
• Step 504: The comfort rating is associated with the sensed indoor environmental conditions.
• Step 505: Due to heat exchange phenomena between rooms in a building, other rooms are expected to be conditioned similarly to the room for which the comfort rating has been recorded. If no room climate conditions are known or stored, the room climate conditions averaged over the building can be used as a fallback solution. However, if these do not exist, continue with step 507, otherwise with step 506.
• Step 506: The comfort rating is associated with the sensed building environmental conditions.
• Step 507: Only if it is not otherwise possible is the user prompted to record the climate conditions to be associated. The user can also do this, for example, manually or analogously by reading weather stations or thermometers; Optionally, open sensor interfaces can also be read out or made accessible via the user.
• Step 508: The last processing step is the storage of the climate conditions, the at least one comfort rating and the user status (if any) in the data space 3.

From the flow charts 7 until 10 it becomes clear at which interfaces and with regard to which data technology challenges the present invention provides synergy effects in terms of data acquisition, data processing and data use or data provision by consolidating the available data and taking into account the current comfort sensations of a respective user, and optionally also can take into account a control/regulation aspect. As expected, the system according to the invention can be implemented particularly advantageously if the interface to the respective HVAC PCS control/regulation systems remains an interface to systems external to the system, ie if the specific control/regulation depending on the application is from the corresponding HVAC/PCS system -Operator is carried out, based on the user-specific current time / location-resolved climate preference data provided by the data host 5. The concrete composition of the parameter set and the desired weighting can be defined application-specifically and also specified with regard to the ideas of HVAC/PCS system operators and/or energy management entities. By aggregating and combining data based on user-specific ratings, the present invention provides added value in terms of the quality and amount of information included in the data processing and can thus provide a good compromise between maximum positive comfort and minimized energy consumption. In particular in comparison to previous SmartHome solutions, the present invention also enables added value in that the technical possibilities are used in a particularly sustainable manner in order to only increase energy consumption if this is also desired or necessary with regard to the well-being of the user. Last but not least, the present invention enables an improvement in energy management (be it in absolute terms, be it from the point of view of the service provider providing the energy) based on reliable energy demand forecasts.

Reference List

1

HVAC/PCS system or HVAC/PCS system (HVAC and/or PCS system)

3

Data room or cloud

4

User preference characteristics as a basis for individual climate preference data

5

Data host or data handling/processing entity

6

Another host (climate host) or climate service provider, e.g. hotel service provider

7

HVAC/HVAC system operator or BMS or energy management entity

9

Closed or delimitable climatic environment (especially house, apartment)

10

Communication path, preferably wireless

11

first communication path, preferably wireless

12, 12a

second communication path, preferably wireless

13

third communication path, preferably wireless

14

Fourth communication path (between HVAC/PCS system and system operator)

15

Input/communication mask or GUI

20

Input/Communication Device

30

computer program product

31

Programming interface, especially on the first communication path

32

Programming interface, especially on the second communication path

33

Programming interface, especially on the third communication path

100

communication/control/regulation system

D

climate preference data

dp

personal evaluation history parameter

GPp

personal or group-related parameter group

GI

group of individuals

hp

individual (personal) humidity or humidity preference

Hp(t,s)

individual humidity variation preference as a function of time/location

I

User, person, individual in general (optionally also living beings such as pets)

GPSp

personal whereabouts and/or distance parameters (with room code S _n )

pp

personal control/regulation parameters (general)

Sp

subjective personal comfort rating or subjective control variable/control parameters

Tp

individual temperature or temperature preference

Tp(t,s)

individual temperature variation as a function of time/place

QUOTES INCLUDED IN DESCRIPTION

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

Patent Literature Cited

• EP 1806543 [0003]

Claims (25)

Communication and control/regulation system (100) for data processing for user-data-based control/regulation of the needs-adapted operation of at least one HVAC/PCS system (1) by dynamic control/regulation of a time/location-resolved functioning of the at least one HVAC/PCS -System (1) based on a plurality of personal and person-specific defined control / regulation parameters (Pp; Hp, GPSp, Tp), wherein the communication / control / regulation system (100) for providing climate preference data for specifying the at least one control /regulation parameters from a personal parameter group (GPp) comprising at least the following time/location-resolved personal parameters: individual temperature (Tp), individual humidity (Hp), individual temperature profile as a function of location and/or time (Tp(t,s )), individual humidity variation as a function of place and/or time (Hp(t,s)), Auf location (GPSp) of the user; - wherein the communication/control/regulation system (100) uses or provides at least one unidirectional/or bidirectional communication path from the following group: communication path (11) between a respective person (I) and a data host (5) and/ or a data room (3), communication path (12) between a/the data host (5) and the respective person (I) and/or the data room (3), communication path (13) between an HVAC/PCS system operator (7) and the data host (5) and/or the data room (3); - wherein the communication/control/regulation system (100) for the at least one person (I) has an input/communication mask (15) for maintaining personal climate preference data in the data room by storing at least one subjective comfort rating (Sp) and/or provides the at least one personal parameter (Pp), in particular through cross-domain content management, the communication/control/regulation system (100) being set up for a time and/or location resolution of the user-specific comfort ratings (Sp) and the personal Parameter (Sp) and is set up to store a personal or group-related user preference characteristic (4); - Wherein the communication / control / regulation system (100) is set up, the climate preference data for specifying the at least one control / regulation parameter (Pp) based on the comfort ratings (Sp) and / or based on already stored, currently by the to generate time/location-resolved personal parameters (Pp) from the user preference characteristics (4) from the data room that are entered and/or automatically retrieved by the respective user and in particular to make them available to a/the HVAC/PCS system operator (7), in particular in real time ; set up in particular with the communication and control/regulation system (100) to carry out a method according to one of Claims 11 until 20 . communication and control/regulation system claim 1 , wherein the at least one control/regulation parameter based on the comfort ratings can be generated in an automated manner for the respective user for a user-specific energy consumption optimization, in that a user-specific lower energy consumption level corresponding to a lower comfort threshold value is determined, in particular, based on the comfort ratings by specifying an optimal user-specific ratio of an energy consumption index and a comfort index. Communication and control / regulation system according to one of the preceding claims, wherein the parameter group also includes a user-specific activity parameter, in particular characterizing the type of activity and the user preference for the respective activity, the user activity optionally according to the stored user behavior and / or location predicted and/or estimated/predefined by reference to a time of day/yearly calendar and/or based on a user's instantaneous heart/respiratory rate or movement profile; and/or wherein the personal parameter group maintained by the user via the individual climate preference data is optionally also correlated with at least one of the following non-personal parameters, for generating/specifying the at least one control/regulation parameter: predicted location-based outdoor climate condition, time of day, calendar date; and/or wherein the climate preference data can optionally be stored by the respective user in a time-specific and/or location-specific manner, in particular based on geofencing by correlating the climate preference data with GPS data of a current location of the respective user and/or with weather data available for the location of the user; and/or wherein a/the time resolution relates to an instantaneous time of day, in particular with regard to a user preference stored in the climate preference data with a time-dependency over the course of the day; and/or wherein the input/communication mask is set up to define personal time slots or time segments ten individual duration for the stay of the respective user at specific places or in specific living rooms, in particular taking into account a current whereabouts of the user; and/or wherein current location data can be transmitted by the respective user via the at least one communication path and/or can be retrieved from the data host; and/or wherein the parameter group comprises at least one further parameter from the following group: user-specific activity parameter, in particular time- and/or location-resolved; predicted location-based and time-resolved outdoor climate condition, correlated with at least one of the personal parameters. Communication and control/regulation system according to one of the preceding claims, wherein the climate preference data comprises personal metadata that is generated from a subjectively experienced thermal/climatic experience of the respective user from already recorded/generated climate preference data and/or from the user-specific comfort ratings, for adapting and future specification of the at least one control/regulation parameter; and/or wherein the climate preference data comprises personal metadata correlated to a personal rating history parameter that incorporates the time or age of a comfort rating or user preference characteristic into the data processing by the data host; and/or wherein a user-specific target value trajectory can be generated from the climate preference data, taking into account a climatic inertia of a corresponding HVAC/PCS system for specifying the at least one control/regulation parameter and in terms of time on the control/regulation of the HVAC/PCS -System is adaptable, in particular based on an HVAC / PCS system-immanent control logic, in particular provided or can be provided by the HVAC / PCS system operator, in particular for the purpose of saving energy; and/or wherein a user-specific setpoint trajectory can be adapted to the regulation of the HVAC/PCS system in terms of time, taking into account a climatic inertia of a corresponding HVAC/PCS system, by using an HVAC/PCS system-specific inertia Time value in the control / regulation of the corresponding HVAC / PCS system for specifying a switching on / off time and / or a lead time for the HVAC / PCS system can be specified, in particular based on an HLK / PCS system-inherent control logic, in particular taking into account the thermal properties of the respective climate environment and by comparing target and actual climate time series. Communication and control / regulation system according to one of the preceding claims, wherein the at least one control / regulation parameter based on a weighting of the respective age of multiple comfort ratings of the same user can be generated in an automated manner by the most recent comfort rating of the user is/is attributed to the currently strongest weighting, in particular in such a way that the user preference characteristic is characterized by time-weighted climate preference data, in particular in the case of a dependency that falls exponentially with the time that has elapsed since the corresponding rating. Communication and control / regulation system according to one of the preceding claims, wherein the control / regulation of the HVAC / PCS system in a dynamic manner based on the at least one control / regulation parameter is feasible, said at least one control / regulation parameter an averaged is a control/regulation parameter or a user data processing parameter weighted with regard to one or more users/individuals, which is formed from a plurality of individual control/regulation parameters for a number of people, in particular in real time as a function of a current or predefined occupancy of a closed space by the number of individuals; Communication and control / regulation system according to one of the preceding claims, wherein the user preference characteristic is a group-related user preference characteristic, wherein a / the respective user based on user parameters, such as age, weight, size, gender, a specific group of people can be assigned and the user preference characteristic for this user can be deductively determined from the user preference characteristics of this group of people, in particular based on the evaluation of metadata. Communication and control / regulation system according to one of the preceding claims, wherein the communicative control / regulation can be realized by the at least one user via the input / communication mask by using a website that is embedded in program code technology at least one GUI and / or at least one Inline frames are integrated into another website, in particular that is external to the system, in particular HTML5, which contains information from the user regarding subjective comfort ratings and/or the at least one personal parameter can be stored or adjusted. Communication and control / regulation system according to one of the preceding claims, wherein the communication and control / regulation system on at least one of the communication paths provides at least one programming interface for linking or programming embedding of elements written in machine-readable language, in particular HTML elements, in particular a REST API. Communication and control / regulation system according to one of the preceding claims, wherein the communication / control / regulation system is set up to evaluate the time and location and user-dependent energy / climate demand forecast by inversion by current or future actual values the control/regulation parameters can be correlated with the climate preference data of the respective user and in that an expected user preference can be determined deductively in conclusion from specified or actually measured climatic conditions, in particular for a load/energy consumption reduction depending on the predicted or expected user behavior and current or future user whereabouts. Method for generating and providing climate preference data for user-data-based control/regulation of the needs-adapted operation of at least one HVAC/PCS system (1) for dynamic control/regulation of a time/location-resolved functioning of the at least one HVAC/PCS system based on a plurality personal and person-specifically definable control/regulation parameters, - whereby at least one control/regulation parameter to be used for the dynamic control from a personal parameter group comprising at least the following personal parameters with regard to at least one point in time and/or with regard to at least one current or future or predefined whereabouts of a/the respective user is specified: individual temperature (Tp), individual humidity (Hp), individual temperature profile as a function of location and/or time (Tp(t,s)), individual humidity fluctuation as a function n of place and/or time (Hp(t,s)), whereabouts of the user; - wherein at least one unidirectional/or bidirectional communication path from the following group is used or provided, in particular at least three communication paths are provided or used: a first communication path between a respective person and a data host and/or a data room, a second communication path between a/the data host and the respective person and/or the data space, and a third communication path between an HVAC/PCS system operator and the data host and/or the data space; - the at least one individual being provided with an input/communication mask, in particular in the form of a website and/or based on the program code embedding of at least one inline frame, for storing or entering at least one subjective comfort rating and/or at least one personal parameter as an individual user specification is made available, namely the at least one subjective comfort rating correlated with at least one of the control/regulation parameters and/or the at least one person-related parameter, for defining an individual person-related or group-related user preference characteristic by maintaining person-specific climate preference data in the data space; - wherein the climate preference data for specifying the at least one control/regulation parameter based on current comfort ratings and/or comfort ratings specified with reference to time/location and/or based on the time/location-related stored, entered and/or automatically retrieved personal parameters according to user preferences stored in the climate preference data are generated from the data space, in particular in the form of a daily/seasonal and/or location-dependent setpoint trajectory, in particular in real time; in particular with the method carried out by means of a communication and control / regulation system according to one of Claims 1 until 10 . Method according to the preceding method claim, wherein the at least one control/regulation parameter is generated based on the comfort ratings in an automated manner for the respective user for a user-specific energy consumption optimization by a user-specific lower energy consumption level corresponding to a lower comfort threshold value being determined, in particular by Specifying an optimal, user-specific ratio of an energy consumption index and a comfort index. Method according to one of the preceding method claims, wherein the parameter group also includes a user-specific activity parameter, in particular characterizing the type of activity and the user preference for the respective activity, the user activity optionally according to the stored user behavior and / or location is predicted and/or estimated/predefined by reference to a time of day/yearly calendar and/or based on a user's instantaneous heart/respiratory rate or movement profile; and/or wherein the personal parameter group maintained by the user via the individual climate preference data is optionally also correlated with at least one of the following non-personal parameters, for generating/specifying the at least one control/regulation parameter: predicted location-based outdoor climate condition, time of day, calendar date; and/or wherein the climate preference data can optionally be stored by the respective user in a time-specific and/or location-specific manner, in particular based on geofencing by correlating the climate preference data with GPS data of a current location of the respective user and/or with weather data available for the location of the user; and/or wherein the time reference is based on a current time of day, in particular with regard to a user preference stored in the climate preference data with a daily time dependency; and/or current location data being transmitted by the respective individual via the at least one communication path and/or being retrieved from the data host. Method according to one of the preceding method claims, wherein metadata from the subjectively experienced thermal/climatic experiences of the respective user are generated from the climate preference data, for the adaptation and future specification of the at least one control/regulation parameter; and/or wherein personal metadata is generated and stored in the climate preference data in the user preference characteristic, which is correlated with a personal rating history parameter that depicts the point in time or the age of a comfort rating or a change in the user preference characteristic; and/or wherein a user-specific setpoint trajectory is generated from the climate preference data, taking into account a climatic inertia of a corresponding HVAC/PCS system to specify the at least one control/regulation parameter, and in terms of time to the control/regulation of the HVAC/PCS -System is adapted, in particular based on an HVAC / PCS system-immanent control logic, in particular provided or can be provided by the HVAC / PCS system operator, in particular for the purpose of saving energy; and/or wherein a user-specific setpoint trajectory is adapted to the control of the HVAC/PCS system in terms of time, taking into account a climatic inertia of a corresponding HVAC/PCS system, by using an HVAC/PCS system-specific inertia Time value is specified in the control / regulation of the corresponding HVAC / PCS system for specifying a switching on / off time for the HVAC / PCS system, in particular based on a HVAC / PCS system-immanent control logic, especially taking into account the thermal properties of the respective climate environment and by comparing target and actual climate time series. Method according to one of the preceding method claims, wherein the user preference characteristic or the climate preference data based on a weighting of the respective age of several comfort ratings of the same user is/are generated in an automated manner by the most recent comfort rating of the user being attributed the strongest weighting, in particular such that the user preference characteristic is characterized by time-weighted climate preference data, in particular in the case of a dependency that falls exponentially with the time that has elapsed since the corresponding rating and/or taking into account a maximum age threshold value, from which age the respective rating is no longer taken into account. Method according to one of the preceding method claims, wherein the regulation of the HVAC / PCS system takes place in a dynamic manner based on the at least one control / regulation parameter, wherein this at least one control / regulation parameter is an average or weighted with regard to one or more users / individuals Is a control/regulation parameter that is formed from a plurality of individual control/regulation parameters for a number of people, in particular in real time as a function of a momentary occupancy of a closed room by the number of individuals. Method according to one of the preceding method claims, wherein the user preference characteristic is a group-related user preference characteristic, wherein a / the respective user is assigned to a specific group of people based on user parameters, such as age, weight, height, gender, and the user preference characteristic for this user is deductively derived from the user preference characteristic this group of people is determined, in particular based on the evaluation of metadata. Method according to one of the preceding method claims, wherein the communicative Control/rules by the at least one user via the input/communication mask by using a website that is integrated into a further website, in particular a non-system website, in particular through cross-domain content management, by embedding at least one GUI and/or at least one inline frame in terms of program code, the information provided by the user with regard to subjective comfort ratings and/or the at least one personal parameter can be stored or adjusted. Method according to one of the preceding method claims, wherein at least one programming interface for linking or programming embedding of elements written in machine-readable language, in particular HTML elements, is provided on at least one of the communication paths, in particular a REST API. Method according to one of the preceding method claims, wherein the method comprises an evaluation of the time-, location- and user-dependent energy/climate requirement forecast by inversion by correlating current or future actual values of the control/regulation parameters with the climate preference data of the respective user and by inferring an expected user preference from predetermined or actually measured climatic states, in particular for a load/energy consumption reduction depending on the predicted or expected user behavior and the current or future user location. Computer program product comprising instructions which, when the program is executed by a computer, cause the computer to carry out the steps of a method according to one of the preceding method claims, in particular a computer program product in the form of a smartphone application or terminal application, in particular comprising front-end computer program code for providing a Input/communication mask for defining personal time windows or time periods of individual duration for the stay of the respective user at specific locations or in specific living spaces, in particular taking into account a current whereabouts of the user, the computer program product being set up to correlate the personal time windows or time periods with over the respective user's comfort ratings entered in the input/communication mask. Computer program product comprising instructions which, when the program is executed by a computer, cause the computer to carry out the steps of a method according to one of the preceding method claims, in particular a computer program product comprising back-end computer program code and set up for server-side processing of personal climate preference data in an automatic manner and/or in response to individual user input events, both user-specific comfort ratings and personal parameters being processed in a time- and location-resolved manner to create a user preference characteristic based on the climate preference data. Computer program product comprising instructions which, when the program is executed by a computer, cause it to carry out the steps of a method according to one of the preceding method claims, the method exclusively for data acquisition and data provision at the interface between the respective user and the at least one HLK/PCS system operator or a non-system host. Use of a computer program product for a method for generating user data and for providing user-specific data for user-data-based control/regulation of the needs-based operation of at least one HVAC/PCS system (1) for dynamic control/regulation of a time/location-resolved mode of operation of the at least one HVAC -/PCS systems based on a plurality of personal and person-specific control/regulation parameters defined based on time- and/or location-resolved climate preference data, in particular in a method according to one of the preceding method claims; wherein a user-specific control and optionally also regulation of the at least one HVAC/PCS system takes place, in that a representation is created during the data processing based on generated person-specific climate preference data, in which the comfort ratings, the personal parameters and climate data are combined, in particular under Application of algorithms based on artificial intelligence, in particular to maximize the subjective user-specific comfort and to minimize the energy requirements used for this. Use of a computer program product for processing user data to provide climate preference data for dynamic user data-based control/regulation of a needs-adapted time/location resolved radio tion by at least one HVAC/PCS system (1), the climate preference data being provided based on user-specific comfort ratings, which are used to create a user preference characteristic, the climate preference data to be provided being derived from the user preference characteristic, in particular taking into account current states of the to be air-conditioned Environment, in particular ambient temperature and ambient humidity (inside, outside), and/or the respective user, in particular their activity, are generated and in particular based on a model-based representation, in particular based on a multivariate probability distribution, in the form of a daily/seasonal and/or or location-dependent desired value trajectory are provided; whereby a user-specific detection, consideration or processing of at least one feature, one variable or at least one parameter from the following group or in connection with one of the following functionalities is carried out by means of the computer program product: Definition of the parameter set that can be used, in particular temperature, humidity, time and/or Location resolution, in particular user-specific room usage/occupancy; Comfort ratings as a user-scaled relative control variable with regard to the perception of comfort, in particular with time-dependent weighting of the individual ratings of the same user among each other; Cross domain content management, in particular in the form of inline frames that can be embedded on non-system websites; Correlation of user preference characteristics with current external parameters, in particular weather data, current location of the user, activity of the user, in particular also based on AI-based algorithms; Definition of user groups and optional weighting of the influence of a rating among the users within a group, whereby data on the climatic preferences of the respective user group can optionally also be supplied from external databases; automatic approach to a lower climatic tolerance limit, eg a minimum temperature, for the purpose of determining a user-specific possible minimum energy consumption; Creating a user-specific energy/climate requirement forecast, in particular for a period of several hours, days, weeks or months; in particular by means of a communication and control / regulation system (100) according to one of Claims 1 until 10 .

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