Method for controlling and / or controlling a heating device for heating at least one space, and heating device

Abstract

The invention relates to a method for controlling and / or regulating a heating system for heating at least one space, the invention relates to a heating system comprising a line network having a dynamically variable system resistance, at least one heat source for raising the temperature of a heating medium in the line network to a defined initial flow temperature, and at least one circulation pump for circulating the heating medium in the line network, the invention relates to a heating control device for controlling or regulating a target starting temperature in accordance with at least one parameter, characterized in that at least one feedback device is provided, by means of which a feedback signal relating to the reached room temperature can be transmitted to the heating control device, and the heating control device adapts the rated initial flow temperature according to the received feedback signal.

Description

Technical Field

[0001] The present invention relates to a method for controlling and / or regulating a heating device for heating at least one space, the heating device comprising a pipeline network with a dynamically variable device resistance, at least one heat source for heating a heating medium in the pipeline network to a defined starting flow temperature, and at least one circulation pump for circulating the heating medium in the pipeline network, wherein a heating control device is provided, which controls or regulates the set starting flow temperature according to at least one parameter. Background Art

[0002] Central heating is usually used to heat homes or other buildings. After the medium flowing through the pipeline network passes through the radiator that can be controlled by means of a thermostatic valve, it is returned to the heat source by return flow. The heat source, in particular the heating boiler, heats the medium to a specific initial flow temperature. The circulation pump is responsible for the discharge flow.

[0003] The setpoint flow or return temperature of a central heating system is set by a heating control, wherein in practice an ambient temperature-guided setting of the flow temperature has proven to be successful. The heating control typically receives the current ambient temperature via a sensor signal, which serves as an indicator of the expected heat demand for the area to be heated. The heating control receives the setpoint presetting for the flow or return temperature to be set via a stored heating curve, which specifies the corresponding setpoint temperature for the flow or return as a function of at least one operating parameter, here the current ambient temperature.

[0004] Such heating curves are usually building-specific and must be set by the heating system installer when the heating installation is first put into operation and, if necessary, subsequently modified in order to achieve the ideal ratio between energy input and energy efficiency. Usually, not only the steepness of the heating curve but also, optionally, a possible offset value can be adjusted. A heating curve that is set too flat leads to an insufficient heat supply to the building at low outside temperatures. In contrast, in the case of a curve that is set too steep, although sufficient heat supply to the building is ensured, the energy consumption is unnecessarily greatly increased due to boiler and line losses.

[0005] Setting the optimal heating curve requires a certain amount of experience on the part of the heating installer, since the specific characteristics of the installation are rarely known precisely. External conditions may also have an influence on whether the heating installation provides sufficient heating power at every ambient temperature, but does not generate unnecessarily high energy losses. This often requires subsequent adaptation of the heating curve during ongoing operation. Although the residents can carry out this adaptation themselves, this currently requires a certain amount of basic technical knowledge on the part of the residents. Summary of the invention

[0006] This problem obviously also occurs in other control strategies of the heating installation that require manual intervention in parameter settings for optimization. Since a certain basic knowledge of the occupants is not necessarily required and the occupants are not necessarily willing to perform manual adaptations at the heating control, a solution to the above problem is desirable.

[0007] This object is achieved by a method according to the features of claim 1. Advantageous embodiments of the method are the subject matter of the dependent claims. The solution to the problem is also achieved by a heating control device according to the features of claim 14 and a heating installation according to the features of claim 15.

[0008] According to the invention, it is proposed to extend the heating device by at least one feedback device. Such a feedback device can transmit a feedback signal about the room temperature reached in the space to be heated to the heating control device. The heating control device can evaluate the feedback signal and adapt the setpoint flow temperature currently used by the heating control device in coordination with the feedback signal.

[0009] The invention includes any adaptation of the control strategy for adjusting the heat source to a predetermined setpoint flow temperature. However, it is also conceivable to use a feedback device for the case where the heating control device also adjusts the return flow temperature instead of or in addition to the flow temperature. For such a case, the setpoint return flow temperature can also be adapted according to the feedback signal. For simplicity, the following embodiments relate to the adaptation of the setpoint flow temperature, but advantageous embodiments can also be used for adapting the setpoint return flow temperature.

[0010] The feedback device used is preferably a device separate from the heating control or the heat source, which device is communicatively connected to the heating control in order to convey the feedback signal to the heating control. A mobile embodiment of the feedback device is preferred, which is then connected to the heating control via a wireless communication connection.

[0011] Of course, fixed installation of the feedback device is also conceivable, preferably in the space to be heated. However, it is not excluded that the feedback device is integrated into the heat source or the heating control device.

[0012] An important aspect of the invention is that, by means of the feedback device, no adjustment parameters of the heating control device are adapted, but only a feedback signal can be input, in particular manually by a user, which evaluates the quality of the heating control performed in a certain way. The feedback signal is binary in a meaningful way, i.e., by means of the feedback signal, only the heating control device can be signaled whether the room temperature achieved in the space to be heated is currently warm enough or not warm enough. For example, such a feedback signal can reflect the subjective perception of the occupant. In this case, the occupant inputs via the feedback device whether the occupant is satisfied with the room temperature achieved or, alternatively, whether the occupant perceives the room temperature achieved as too cold. However, it is also sufficient and preferred if the feedback signal only contains and can only contain the information that the currently achieved room temperature is too cold. Therefore, such a feedback signal is transmitted to the heating control device only when the current room temperature has been perceived or evaluated as too cold. Instead, in the absence of a feedback signal, the heating control device will assume that the currently achieved room temperature is perceived or evaluated as being warm enough.

[0013] The manual input of the feedback signal at the feedback device is discussed above. Of course, it is also conceivable to generate the feedback signal in a sensory manner.

[0014] If the room temperature is assessed as being too cold, the heating control is configured such that it adapts the regulation / control as a function of the received feedback signal in order to cause an increase in the setpoint flow temperature, thereby ultimately increasing the heat input into the space to be heated. Overall, such a feedback device creates a simple possibility by which the occupants and operators of the heating installation can intervene in the heating control without basic technical knowledge and optimize it with regard to the possible heating output. It is thus now possible to initially set a regulation with a relatively low setpoint flow temperature when the heating installation is first put into operation, since the user can perform subsequent adaptation using simple means via the feedback device.

[0015] Instead of manually inputting the feedback signal, it is possible to work with the aid of a sensing auxiliary device, which measures the room temperature, for example, in a sensing manner and generates a corresponding feedback signal when necessary, and facilitates the automatic transmission of the feedback signal to the heating control device with the aid of the feedback device. If, for example, a definable temperature level is not reached in the space to be heated using the adjusted rated flow temperature, i.e., the sensor value does not exceed the corresponding threshold value, a feedback signal can be automatically generated and transmitted to the heating control device, which then performs an adaptation of the rated flow temperature. The feedback signal can also be generated by a statistical evaluation of the sensor value. It is also conceivable that the feedback signal is generated only within a certain minimum duration when the threshold value is not exceeded. The feedback device can have at least one integral sensor. However, the feedback device can also be in communication connection with an external measurement detection element and generate and transmit a feedback signal based on the received sensor value.

[0016] For example, existing systems for home automation can be used to generate the feedback signal in a sensory manner.

[0017] According to a particularly preferred embodiment, a commercially available mobile device with an installed application can be used as a feedback device. Thus, a dedicated application can be installed on a smartphone, tablet, wearable device or laptop or desktop PC in order to enable manual input or sensor-assisted generation of feedback signals to the heating control. Communication with the heating control can be achieved via known radio transmission standards, such as IEEE, Bluetooth, etc. In this regard, it is also conceivable to integrate possible assistance systems, such as Alexa, Google Assistant, Siri, etc.

[0018] The concept according to the invention of the feedback device can in principle be combined with any desired function for controlling and / or regulating a heating installation. However, as already indicated in the introduction, the combination with a heating installation which is controlled / regulated based on a heating curve is particularly advantageous. In this case, a corresponding heating curve is implemented which specifies an assigned setpoint flow temperature as a function of detected parameters, in particular environmental parameters such as the ambient temperature, to which the heating control then regulates the installation.

[0019] Taking into account the received feedback signal, the heating curve is adapted, for example, in the system control, wherein, for example, an adaptation by setting an offset value and / or adapting the steepness of the heating curve is conceivable. If, for example, the current room temperature is signaled as being too cold by means of the feedback signal, an adaptation of the offset value and / or also of the curve steepness can be performed, for example.

[0020] It is also conceivable to control the flow temperature according to different functions or according to other parameters. For example, it is conceivable that the current rated flow temperature is set by the heating control device according to the actual heat demand. Here, it is conceivable to determine the actual heat demand according to the current pipeline resistance and set the setting of the flow temperature in the heating control device according to the heat demand determined in this way. In order to set the rated flow temperature, the correlation value between the current flow temperature and the current equipment resistance determined can be used here. It is also conceivable to control or regulate methods based on known heating curves, but the heating curve is adaptively optimized during continuous operation by suitable learning methods. Such a learning method can also be performed based on the current heating demand, that is, it is also provided to take into account the equipment resistance or the aforementioned correlation value between the flow temperature and the equipment resistance.

[0021] It is also conceivable that the adaptation of the rated flow temperature or the optimization of the heating curve is performed according to the corresponding operating parameters, such as the equipment resistance and the aforementioned related values ​​and taking into account the dynamically predeterminable risk factors. The degree and scale of the adaptation of the rated flow temperature or the heating curve can be defined by means of the risk factor. Here, the lower risk factor stipulates that the rated flow temperature or the heating curve is only slightly modified in the adaptation step. In contrast, in the case of a high risk factor, a higher numerical change of the rated flow temperature or the heating curve is permitted. Accordingly, in the case of a high risk factor, the heating device can initially be configured with a lower flow temperature or heating curve so as to then achieve a rapid approach to the optimal heating curve in continuous operation. However, the disadvantage of this operating method is that due to the high change, too high a rated flow temperature or too strong adaptation of the heating curve may also occur, which can achieve sufficient heat input into the space building, but brings the risk of a non-energy optimal heating curve or a rated flow temperature.

[0022] In contrast, a lower risk factor requires multiple adaptations of the heating curve or the starting flow temperature, which takes more time. If this is undesirable, the system should initially be started with a higher setpoint starting flow temperature or heating curve when the system is put into operation.

[0023] As already mentioned above, the risk factor is advantageously changed as a function of the feedback signal, which ultimately has an indirect effect on the adaptation of the set flow temperature. For example, it is conceivable to adapt the risk factor as a function of the time interval between two received feedback signals. For example, it can be provided that if the time period between two successively received feedback signals is relatively short, the adaptation of the risk factor has a numerically greater result. In the case of a small time interval between the two feedback signals, a significantly too low thermal power is assumed, which should result in a numerically greater increase in the set flow temperature or the heating curve. If the time interval between the two feedback signals is relatively long in time, there is no high urgency, so that a marginal adaptation of the heating curve or the set flow temperature is considered sufficient in order to be able to accurately approach the optimal setting in small steps.

[0024] In addition to the time interval between the two feedback signals, the time interval between the start-up of the heating installation and the first feedback signal can also be taken into account.

[0025] It is advantageous if certain time periods are excluded for determining the time interval. For example, time periods during which the outside temperature exceeds a certain maximum temperature, for example above 16 degrees, should not be taken into account, since during such times heating power is often not required at all. Nighttime, in particular nighttime temperature drops, should likewise remain out of consideration.

[0026] A possible formula for calculating the risk factor is:

[0027] Risikofaktor neu =Risikofaktor alt * (1+k / Zeitraum).

[0028] In this case, the parameter Zeitraum represents the time period between two received feedback signals or between the device being put into operation and receiving a feedback signal. This parameter can be specified by the user. A small value selected for the parameter k signals a lower risk readiness, while a large value of the factor k brings a high risk factor.

[0029] The feedback of the feedback signal can be either mandatory or voluntary. For this purpose, the selected scheme can be adjusted in the control device so that this can be taken into account for the selection of the risk factor. If the feedback signal is to be issued manually by the resident only on a voluntary basis, the heating control device does not compulsorily expect the feedback signal and only sets the adaptation of the setpoint flow temperature after receiving the feedback signal. In this case, no active request of the user or resident is provided, but the user only has the opportunity to issue a corresponding feedback signal via an external mobile device or directly via the heating control device.

[0030] Alternatively, provision can be made to actively request the occupants to send a feedback signal, in particular at certain time intervals. If this is the case, a lower setpoint flow temperature or heating curve can initially be set, since a rapid adaptation can be expected in view of the expected feedback signal.

[0031] In addition to the method according to the invention, the invention also relates to a heating control device which is configured to carry out the method according to the invention. Such a heating control device can be a component of a heat source and / or a heating circulation pump. It is also conceivable to implement the heating control device as an external control device which is communicably connected to the heat source or to the circulation pump.

[0032] In addition to the heating control device, the present invention also relates to a heating device, which comprises a heat source and at least one circulating pump and a heating control device, which is configured to perform the method according to the present invention. Accordingly, the same advantages and characteristics as explained above apply to the heating control device or the heating device. For this reason, repeated descriptions are abandoned. Other advantages and characteristics should be explained in more detail below based on specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Other advantages and features of the present invention shall be explained in more detail below.

[0034] Figure 1 A diagram showing the time course of the starting flow temperature and the system resistance in a heating system,

[0035] Figure 2 a graph showing the time course of the calculated correlation values, and

[0036] Figure 3 A schematic diagram of a flow chart of a method for adapting a setpoint flow temperature based on a heat requirement determined by a system resistance is shown. DETAILED DESCRIPTION

[0037] The method according to the invention will be explained by way of example using a heating system which comprises, for example, a combustion boiler as a heat source and which sets the starting flow temperature according to a heating curve. The heating medium is circulated in the pipeline network by means of a heating circulation pump which conveys the medium in a circuit in such a way that the operating point depends on the discharge flow and a certain head. The system resistance is influenced by the valve position of the individual thermostatic valves of the radiator.

[0038] The core idea of ​​the present invention can be seen that a feedback signal can be transmitted to a heating control device with the help of a feedback device. The feedback signal is used to evaluate the quality of the current heating regulation / control and can be evaluated by the heating control device in order to ultimately achieve the adaptation of the rated flow temperature. In principle, the solution according to the present invention can be combined with any regulation or control method that adjusts the flow temperature or return temperature to a dynamic rated value. The following embodiments consider the combination of a feedback device and a method for controlling a heating device, in which in particular a circulating pump can be controlled according to the current device resistance determined by it (device resistance = head / discharge flow 2 ) to estimate the current heat demand of the building. Based on this determined demand, the heating control sets the setpoint flow temperature, i.e. as high as necessary to supply the building, but not higher in order to keep energy consumption as low as possible.

[0039] The ratio of the plant resistance determined by the pump to the initial flow temperature to be set by the heating control is specific to the building and can be calculated by the planner of the heating system. The area of ​​the room and the pipelines can be taken into account here. This information is already known to the planner, because it is required for the hydraulic balance. However, in addition to his calculations, the planner will also bring up (aufschlagen) a risk factor. The risk factor is necessary in order to ensure a sufficient heat supply to the building in all cases. However, the energy consumption is increased by the risk factor. In the past, the risk factor therefore also had to be selected relatively high, because the risk factor was only set once and there was usually no correction. Most heating operators do not want to make the settings themselves at the heating control, and the heating system fitter will not want to come to the building again.

[0040] The invention starts precisely from this point. It is proposed that the heating system installer first arranges a very low risk factor, but that the risk factor is subsequently optimized independently and continuously by the heating system with the aid of a learning function. In this case, feedback is given to the heating control system whenever it is too cold in the building. The feedback only contains the information: "too cold", but not a quantitative indication of how cold it is.

[0041] The house occupant can, for example, inform this feedback via his smartphone by means of an installed application provided by the heating installation fitter. Alternatively, this task can also be performed automatically by sensors. Thus, a sensor connected to the home engineering (for example via an assistant such as Alexa) can give feedback whenever a minimum temperature is not exceeded. This minimum temperature is specified by the house occupant.

[0042] Every time the heating control now gets the feedback "too cold", it will adapt the risk factor. How strongly the heating control adapts the risk factor also depends on how much time has passed between two notifications or between commissioning and the first notification. Thus, the risk factor is increased according to the following criteria:

[0043] Risikofaktor_neu=Risikofaktor_alt * (1+k / Zeitraum)

[0044] Risikofaktor_alt corresponds to the risk factor used before the current feedback notification was received. Risikofaktor_neu is the risk factor to be newly set. The parameter Zeitraum corresponds to the time elapsed since the previous feedback notification was received or since the start of operation until the current feedback notification was received. When detecting the time period, only such times should be taken into account when the outside temperature does not exceed a certain maximum temperature (e.g. 16° C.). Furthermore, nighttime times should not be taken into account. At high outside temperatures or at night, a possible undersupply may not be noticed by the occupants.

[0045] The factor k can be specified by the heating installation fitter. The higher the factor is chosen, the more strongly the risk factor rises each time this indicates a feedback. If k is too small, the house occupant must report feedback somewhat more frequently. If k is too large, the risk factor may be raised too strongly and the heating will henceforth operate less efficiently than it could have been.

[0046] There is the possibility that the risk factor is reset in specific cases. For example, the reset can be performed at a specific time, after a feedback signal has not arrived within a specific time period, or by a manual request from the user. It is also conceivable that the described scenario is performed multiple times, for example when putting a heating device into operation, i.e. the risk factor is first set to be relatively small by the heating equipment installer. By transmitting one or more feedback signals, the risk factor is first increased until other feedback signals have not arrived or the room temperature is always warm enough. It is suitable to reset the risk factor in this case as well and to repeat the procedure at least once or even multiple times within a definable time interval, for example during the winter. If after a specific number of repetitions it can be determined that the same or almost the same risk factor is always reached, it is suitable to retain the risk factor for the future and only set the reset again after an explicit request by the user.

[0047] In the case of a learning function for setting the risk factor with the aid of an application, the house occupant can choose between two situations.

[0048] - Situation 1: Once it gets cold, the occupants of the house will definitely give feedback.

[0049] - Situation 2: Once it gets cold, the house occupants may give feedback.

[0050] If case 1 is chosen, the house occupants will certainly agree to give feedback if it gets cold. In this case, the risk factor or parameter k can be arranged to be very low when it is put into operation.

[0051] If the house occupant prefers to set his heating robustly from the outset, case 2 is selected. The risk factor or parameter k is then set high from the outset, for example as high as it would be selected without a learning function. However, if it is too cold for the customer, he has the possibility of informing the heating control device of this using the app, without having to delve into the settable parameters in the control device and without having to have the heating system installer come back here again.

[0052] In the following, the above-mentioned exemplary method for setting a setpoint flow temperature or for optimizing a setpoint flow temperature and / or optimizing a heating curve based on a heat demand determined by the system resistance shall be briefly explained in addition.

[0053] In the exemplary embodiment described here, most of the method steps are determined by the overall pump control of the heating circulation pump. The heating pump determines the actual heat demand in the heating system and, for example, provides this information to the heating control of the burner for adapting the flow temperature control. The heating control then either sets the flow temperature solely in accordance with the demand determined by the pump, or it combines the demand determined by the pump with a signal for the ambient temperature, for example with a stored heating curve which predetermines a setpoint value for the flow temperature in accordance with the ambient temperature.

[0054] To determine the instantaneous heat demand, the following parameters are available to the pump:

[0055] - Start flow temperature: The start flow temperature is determined by the pump either via an external sensor or by internal estimation.

[0056] - Equipment resistance ζ: The equipment resistance ζ describes the losses in the pipeline and the sum of the losses of all thermostatic valves. Since the losses in the pipeline are constant, the position of the thermostatic valve can be directly inferred from the equipment resistance ζ. The equipment resistance is calculated as follows:

[0057] ζ=H / Q 2 .

[0058] In this case, the delivery flow Q and the head H are typically determined by the pump control by means of internal estimation algorithms.

[0059] Crucial is the given correlation between the set flow temperature and the system resistance. If the heating curve is set optimally, all weather influences will be compensated by the flow temperature control and the flow temperature signal will be completely independent of the course of the system resistance. If, however, the heating curve is set too steeply, the thermostatic valve will throttle off the excess heat input, which is indicated by an increase in the system resistance.

[0060] Here, it was possible to determine from laboratory studies that, in the case of a heating curve that is only slightly too steep, the system resistance follows the initial flow temperature. Figure 1 The time evolution of the initial flow temperature and the equipment resistance is shown in FIG.

[0061] In the studied building, switching between day and night mode was performed, which could be seen by the sudden changes in the initial temperature. Switching to night mode was not set in the time period between 60 hours and 120 hours (e.g. at weekends). Figure 1It can be clearly seen that the signal of the system resistance follows the course of the starting flow temperature. The reason for this is that at high starting flow temperatures, the thermostatic valve must be closed in order to keep the room temperature constant. The closed valve leads to an increase in the system resistance. The influence of the starting flow temperature on the system resistance is dominant over other influences such as a window that is opened for a short time.

[0062] Due to the high correlation between the flow temperature and the system resistance, an approximately constant factor can be derived between the flow temperature and the system resistance, which factor can be calculated, for example, as follows:

[0063] Related value = initial flow temperature / equipment resistance

[0064] Figure 2 It is shown by way of example Figure 1 The resulting course of this correlation value of the determined measured value. The diagram shows, apart from tolerable fluctuations, an almost constant course of the correlation value. The correlation value is proportional to the value around which the heating curve is set too steeply. The heating control can therefore deduce from the signal of the correlation value whether the heating curve is set too steeply or too flat.

[0065] In this case, the following guidelines can be followed:

[0066] Case 1: Correlation value is not constant -> Heating curve is too flat:

[0067] If the relevant value should not be constant, the thermostatic valve does not follow the start flow temperature. This indicates a heating curve that is too flat. The heating curve must be steeper.

[0068] Case 2: The correlation value is constant, the correction value is large -> the heating curve is too steep:

[0069] If the correction value is constant, the heating curve is not too flat and the building is supplied with heat sufficiently. However, if the relevant value is large in value, this indicates that the building is oversupplied and energy consumption is unnecessarily increased. The heating curve must be set flatter.

[0070] Case 3: Correlation value is constant, correction value is small -> heating curve is perfect:

[0071] A constant correlation value means that there is no undersupply and the heating curve is not set too flat. If the value of the correlation value is small for this, the heating curve is not too steep. In this case, heating is performed optimally.

[0072] Figure 3The control process described previously is again schematically shown. In frame 10, the initial flow temperature and the system resistance are first determined. The course of the relevant values ​​is monitored over a specific period of time, in particular continuously. If the course of change is approximately constant, the method turns to frame 20, which determines the level of the relevant value. If the relevant value is above a specific limit value, the method is continued with frame 30. It is provided here that the heating curve must be adjusted steeper, and the pump communicates this to the heating control device via an interface. If, on the other hand, the determined relevant value is low and below the limit value, the currently used heating curve is evaluated as optimal and is not modified. The method returns to frame 10.

[0073] If, however, it is detected in block 10 that the relevant value is not constant, the method passes to block 40. In this case, a message is transmitted to the heating control device, according to which the heating curve must be adjusted steeper in order to be able to meet the heat demand in the building.

[0074] In accordance with Figure 3 When modifying the heating curve, the set risk factor can then also be taken into account, which specifies the margin and the maximum increment for adapting the heating curve. This risk factor is to be influenced by the feedback function according to the invention, i.e., in the case of a high risk factor, a significantly stronger adaptation of the slope of the heating curve can be performed in blocks 30, 40 than would be applicable in the case of a risk factor of a smaller value.

Claims

1. A method for controlling and / or regulating a heating device for heating at least one space, the heating device comprising a pipeline network with a dynamically variable device resistance, at least one heat source for heating a heating medium in the pipeline network to a defined initial flow temperature, and at least one circulation pump for circulating the heating medium in the pipeline network, wherein a heating control device is provided, the heating control device controlling or regulating the set initial flow temperature according to at least one parameter, characterized in that At least one feedback device is provided, by means of which a feedback signal about the room temperature reached can be transmitted to the heating control device, and the heating control device adapts the setpoint flow temperature as a function of the received feedback signal.

2. The method according to claim 1, characterized in that The feedback contains only the information that the currently achieved room temperature is too cold, or the feedback signal is a binary signal in order to evaluate the currently achieved room temperature as being too cold or not too cold.

3. The method according to any one of the preceding claims, characterized in that The feedback device is configured to enable a feedback signal to be manually input by a user, and / or includes a measuring detection element for performing room temperature measurements, or is communicatively connected to such a measuring detection element, wherein when the room temperature detected by the measuring detection element does not exceed a rated value, the feedback signal is preferably conveyed to the heating control device.

4. The method according to any one of the preceding claims, characterized in that The feedback device is a smartphone, tablet or other external communication device having an application installed and executed thereon for inputting and transmitting feedback signals to the heating control device.

5. The method according to any one of the preceding claims, characterized in that The heating control controls the raw flow temperature taking into account a heating curve, wherein the heating curve defines a setpoint value for the raw flow temperature as a function of at least one parameter, in particular a current ambient temperature.

6. The method according to claim 5, characterized in that The heating curve is adapted taking into account the received feedback signal, in particular an offset value of the heating curve and / or a steepness of the heating curve.

7. The method according to any one of the preceding claims, characterized in that The heating control device takes into account an adjustable risk factor, wherein the risk factor characterizes the degree of adaptation of the setpoint flow temperature and / or the degree of adaptation of the heating curve, wherein in the case of a higher risk factor, a greater change in the setpoint flow temperature or a change in the slope and / or offset value of the heating curve is possible than in the case of a lower risk factor.

8. The method according to claim 7, characterized in that The risk factor takes into account a time interval between the receipt of two feedback signals and / or a time interval between the commissioning of the heating installation and a first feedback signal.

9. The method according to claim 8, characterized in that To determine the time interval, certain time periods are excluded, for example depending on the current daytime and / or outside temperature.

10. The method according to any one of the preceding claims 7 to 9, characterized in that The risk factor is calculated by: Risk factor neu Risk factor alt *(1+k / period), The parameter Zeitraum represents the time interval between two feedback signals, and the parameter k is a parameter to be manually set.

11. The method according to claim 10, characterized in that If the feedback signal is to be issued voluntarily, the parameter k is selected to be higher in value, whereas if the feedback signal is to be issued at a specific point in time, the parameter k is selected to be lower in value.

12. The method according to any one of the preceding claims, characterized in that The current device resistance is determined, and a correlation value between the current actual raw flow temperature and the actual device resistance is determined, wherein the correlation value is used for controlling and / or optimizing the heating curve.

13. The method according to claim 12, characterized in that The heating curve is adapted and / or optimized as a function of the risk factor, which is adapted taking into account the feedback signal.

14. A heating control device for controlling / regulating a heating device, comprising a processor, wherein the processor is adapted / configured such that the processor executes the method according to one of the above steps. 15 . A heating installation having a heating control device configured to carry out the method according to claim 1 , wherein the heating control device is implemented in a heat source and / or a circulation pump.

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