• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:
    The invention relates to a heating appliance, preferably of the towel-drying type, for heating a bathroom. Said apparatus comprises a heating body (3), a control module (6) of the heating body as a function of a set temperature. The apparatus also comprises a motion sensor (801), a brightness sensor (802), a humidity sensor (803), and a processing and calculation module (8) adapted to receive signals transmitted by said sensors . Said processing and calculation module (8) calculates (101, 102, 103) a movement datum, a luminosity datum, and a humidity datum, from the signals transmitted by said sensors, and defines (500) a temperature setpoint based on said calculated motion, brightness and humidity data.
    公开号:FR3045307A1
    申请号:FR1562582
    申请日:2015-12-17
    公开日:2017-06-23
    发明作者:Antoine Chagneau；Virgile Humbert；Maxime Bernard
    申请人:Atlantic Industrie SAS；
    IPC主号:
    专利说明:

    FIELD OF THE INVENTION
    The present invention generally relates to towel rail radiators.
    PRIOR ART The invention more particularly relates to a heater-type radiator-towel heater.
    It is known, in the field of heating, to adapt the operation of a heating body of an electric heater according to the presence of a specific user with the aid of a motion sensor.
    However, in the case where the heater is installed in a bathroom, it is found that the heating comfort needs of the user are different according to the use he makes of the bathroom. Indeed, when the user is only washing his hands, his need for heating comfort is less important than when taking a shower.
    However, the motion sensor is not sufficient to identify the use that the user makes of the bathroom and adapt the operation of the heater to said use.
    The object of the present invention is to propose a new electrical heating apparatus making it possible to overcome all or some of the problems set out above.
    In particular an object of the invention is to provide a new electric heater, preferably of the electric towel-drying type, to identify a shower or bath type of use for which the user needs heating comfort is more important than for a use of the type for which he is dressed.
    SUMMARY OF THE INVENTION To this end, the subject of the invention is a heating apparatus, preferably of the towel-drying type, for heating a bathroom, said apparatus comprising: a heating body, preferably electric, - a heater body control module configured to control the heater according to a set temperature; a motion sensor capable of acquiring a signal representative of a movement, and a brightness sensor able to acquire a signal representative of the brightness, characterized in that the apparatus further comprises: a suitable humidity sensor; to acquire a signal representative of the humidity in the bathroom; a processing and calculation module able to receive signals transmitted by said sensors, said processing and calculation module being configured to: calculate a data relating to the movement, called a movement datum, a datum relating to the luminosity, called brightness data, and humidity data, referred to as humidity data, from the signals transmitted from said sensors, and • setting a target temperature based on said calculated motion, brightness and humidity data. The use of a humidity sensor in combination with a motion sensor and a light sensor makes it possible to reliably and quickly detect a use of the shower or bath type. The heating body can then be controlled according to the use detected to bring the temperature in the bathroom to a value corresponding to the need for comfort desired for such use.
    According to an advantageous characteristic of the invention, the calculation and processing module is configured for, after the calculation of the motion, humidity and brightness data: • comparing each calculated data item with a threshold value and assigning to said computed data item : A value, called a low relevance value, preferably 0, when the value of said computed data value is lower than said threshold value, and a higher value, called a high relevance value value, preferably 1, when the value of said calculated data is greater than said threshold value; • determine a value, called the probability variation value, according to the relevance values assigned to the data and according to the type of these data; Determining a value, called the comfort requirement probability value, as a function of the determined probability variation value; and the calculation and processing module is configured to define said setpoint temperature according to said determined comfort requirement probability value.
    Thus, the signals acquired by the sensors are used to determine a probability variation that makes it possible to correct a probability of need of comfort determined for a subsequent schedule, for example for the same schedule but the following day or the following week. The need for heating can thus be reliably anticipated. Advantageously, the steps implemented by the processing and calculation module are repeated cyclically, for example every fifteen minutes.
    Advantageously, the probability variation attributed to the high relevance value of the humidity datum is greater than the probability variation value attributed to the high relevance values of the motion and brightness data.
    Applying greater weighting to the high relevance value associated with the moisture data compared to the other calculated data, further improves the reliability of the detection of a heating need adapted to a use of shower or bath type, since humidity is more characteristic of a shower or bath type use than a movement or a given brightness.
    According to an advantageous characteristic of the invention, the calculated moisture data is the rate of change of humidity, denoted by humidity.
    Detecting a shower or bath type of use as a function of the speed of change of the humidity makes it possible to reduce the risk of detection error. Such a detection parameter makes it possible to ignore an increase in the humidity that would be due to a change in the meteorological conditions, whose speed of evolution is lower than that of the humidity in the case of a use of shower or bath type.
    According to an advantageous characteristic of the invention, the apparatus comprising a life-of-life training module configured to establish set-point temperature control laws to be executed later, preferably repeatedly, from the control data. operation of the apparatus, said learning module is also configured to establish a control law by associating said setpoint temperature defined by the calculation and processing module with a schedule, called the control schedule, and preferably one day week, defined according to the schedule, called the definition schedule, and preferably the weekday, at which said setpoint temperature has been defined by the calculation and processing module.
    According to an advantageous characteristic of the invention, the life-course learning module is configured to calculate the control time as being equal to the definition time-line corrects a predefined anticipation time.
    According to an advantageous characteristic of the invention, the anticipation time for triggering the stored target temperature is calculated as a function of the difference between the set temperature and the ambient temperature stored in the definition time.
    According to an advantageous characteristic of the invention, the computation of the movement data is carried out as a function of: a predefined time value, called a characteristic time, a predefined number of movements during said characteristic time, and motion signal transmitted by the motion sensor to the processing and calculation module.
    According to an advantageous characteristic of the invention, the calculation of the humidity data is carried out as a function of: a predefined time value, called the characteristic time, a humidity variation value, and the humidity signal; transmitted by the humidity sensor to the processing and calculation module.
    According to an advantageous characteristic of the invention, the calculation of the brightness data is performed as a function of: a predefined time value, called a characteristic time, a brightness variation value, a brightness threshold value, and the brightness signal transmitted by the brightness sensor to the processing and calculation module.
    BRIEF DESCRIPTION OF THE DRAWINGS Other features and advantages of the invention will become apparent from the description which follows, which is purely illustrative and nonlimiting and should be read with reference to the accompanying drawings, in which: FIG. 1 is a diagrammatic front view of FIG. a towel-drying apparatus according to an embodiment of the apparatus according to the invention; FIG. 2 is a block diagram showing the signal processing logic of the sensors and the steps for defining the set temperature in accordance with an embodiment of the apparatus according to the invention; FIG. 3 is a graph showing the number of movements detected as a function of time in accordance with an embodiment of the apparatus according to the invention; FIG. 4 is a graph showing the humidity detected as a function of time in accordance with one embodiment of the apparatus according to the invention; FIG. 5 is a graph showing the luminosity detected as a function of time according to an embodiment of the apparatus according to the invention; FIG. 6 is a graph showing the probability variation determined as a function of time according to an embodiment of the apparatus according to the invention; FIG. 7 is a graph showing the probability of comfort heating need determined as a function of time in accordance with an embodiment of the apparatus according to the invention.
    DETAILED DESCRIPTION
    The concept of the invention is described more fully hereinafter with reference to the accompanying drawings, in which embodiments of the concept of the invention are shown. In the drawings, the size and relative sizes of the elements of the apparatus may be exaggerated for the sake of clarity. Similar numbers refer to similar items on all drawings. However, this concept of the invention can be implemented in many different forms and should not be construed as limited to the embodiments set forth herein. Instead, these embodiments are provided so that this description is completed, and communicate the scope of the concept of the invention to those skilled in the art. The scope of the invention is therefore defined by the appended claims. The following embodiments are discussed, for the sake of simplicity, in connection with the terminology and structure of a towel radiator heater. However, the embodiments that will be discussed next are not limited to these devices, but can be applied to other heaters.
    A reference throughout the description to "an embodiment" means that a particular feature, structure, or feature described in connection with an embodiment is included in at least one embodiment of the present invention. Thus, the appearance of the phrase "in one embodiment" at various locations in the description does not necessarily refer to the same embodiment. In addition, the particular features, structures, or features may be combined in any suitable manner in one or more embodiments.
    With reference to the figures and as recalled above, the invention relates to a heater 1 of the towel-towel radiator type. In the embodiment of FIG. 1, said heating apparatus 1 comprises a tubular structure 10 containing a coolant. The coolant can be water or oil. The towel rail is intended to be installed in a bathroom for heating said bathroom. Said towel dryer can of course also be used for drying towels. By bathroom is meant a room in a house equipped with a shower or a bath.
    Said tubular structure 10 has at least two bars 11, 12 containing a coolant. Said bars 11,12 delimit between them a space for resting on one of the 11 bars, a towel.
    Said tubular structure 10 also comprises a connecting structure of the bars 11, 12 between them, called frame. Said frame comprises two tubular connecting elements 13, called poles, interconnecting said bars 11, 12 so as to form a fluid communication passage between the bars. Said posts 13 extend substantially transversely to said bars 11, 12.
    The towel radiator comprises a heating body 3, preferably electric. In the example illustrated in FIG. 1, the heating element 3 comprises an electric heating element, such as an electrical resistance, able to heat said heat transfer fluid, and electrical supply means 5 of the element 3 of Electric heating. Said electric heating element 3 is housed at least partially in one of the tubular connecting elements 13 and thus plunges into the coolant. In the example illustrated in the figures, the apparatus is fluid technology. According to other embodiments, the apparatus may be dry technology. In other words, the apparatus may comprise one or more heating bodies that are not in contact with a liquid but with air inside the radiator.
    In the embodiment of FIG. 1, said apparatus 1 also comprises a fluid temperature probe 2 situated inside the tubular structure 10. Said fluid temperature probe 2 is able to measure a value representative of the temperature heat transfer fluid at which it is located. The apparatus also comprises a control module 6 of the heating body configured to control the heating body 3 as a function of a set temperature. Said setpoint temperature corresponds to a desired ambient temperature. The control of the heating body to reach the set temperature can be regulated according to the ambient temperature measured using a probe 7 located outside the heat transfer fluid to measure the ambient air temperature and / or can be regulated according to the temperature measured by the probe 2 located inside the coolant circuit.
    In the example illustrated in the figures, said control module 6 controls the heating body 3 by controlling the power supply module 5. For this purpose, said control module 6 controls the power supply of the electric heating element 3 in order to reach a set temperature whose definition is detailed below.
    Said control module 6 can be made in the form of an electronic control unit and / or computer, for example in the form of a thermostat. Said unit can thus comprise an electronic circuit provided with a controller or a processor, such as a microcontroller or a microprocessor associated with a memory. Thus, when in the following description, it is specified that means are configured to perform a given operation, it means that the control unit which forms said means, comprises computer instructions and / or dedicated electronic components allowing perform said operation. The power supply module 5 can also be implemented in the form of an electronic module. The apparatus includes a memory which makes it possible to store set temperature laws. Each law corresponds to a definition of temperature setpoint time intervals or cycles, repeatable over time. One of the predefined temperature laws corresponds to a mode of operation of the apparatus called comfort mode for which the set temperature is adapted to a use of shower or bath type. It can be provided that the apparatus comprises a memory in which are stored several modes of operation of the apparatus.
    The cycle on which a law is defined is divided into time intervals, called "programming steps", which are preferably all equal. On each of these programming steps, the law is associated with a set value. In the following, we consider programming steps of a duration of 15 minutes, as an illustrative and non-limiting example. For example, the same law can be implemented for all days of the week, from Monday to Sunday. The same law may also, according to another variant, be implemented for each day of the week from Monday to Friday, and the same law or two separate laws for the two days of the weekend. It is also conceivable that a separate law be implemented for each day of the week, between Monday and Friday. The same law or two separate laws can then be implemented for the weekend. In addition, the programming laws may be defined over longer periods of time, such as the week, the month or the year. Other configurations of numbers of programming laws and repetition schemes are obviously possible.
    Preferably, the apparatus also comprises a user interface which makes it possible in particular to: - give a setpoint temperature to the control module for direct control of the control module, - choose a mode of operation to be implemented; - modify parameters of the learning module presented below.
    In the example detailed below with reference to FIGS. 3 to 7, the example of a set temperature law implemented on a Sunday from 3 pm to 4 pm and intended to be repeated on the Sunday of the following week is taken. but with modified target temperature values resulting from a learning function implemented by a learning module 80.
    As illustrated in FIGS. 1 and 2, the apparatus 1 also comprises a motion sensor 801, for example an infrared sensor, capable of acquiring a signal representative of a movement, and a brightness sensor 802 capable of acquiring a signal representative of the brightness. The apparatus also comprises a humidity sensor 803 adapted to acquire a signal representative of the humidity in the bathroom.
    A processing and calculation module 8 is wired or wirelessly connected to said sensors 801, 802, 803 for receiving signals transmitted by said sensors. The processing and calculation module 8 operates cyclically with a given time step of 10 seconds for example.
    Said processing and calculation module 8 can be produced within the same electronic and / or computer unit as that making it possible to produce said control module 6. In particular, said modules can be made in the form of computer components and / or e. Thus, the functions operated by these modules can be performed by sets of computer instructions implemented in a processor or be performed by dedicated electronic components or components of the FPGA or ASIC type. It is also possible to combine computer parts and electronic parts.
    As illustrated in FIG. 2, said processing and calculation module 8 comprises instruction set blocks 101, 102, 103 for calculating, a piece of data relating to the movement, called a movement datum, a piece of data relating to the luminosity, called the luminosity datum, and a humidity data item, referred to as humidity data, from the signals transmitted from said sensors.
    After calculating the motion, humidity and brightness data, the calculation and processing module 8 executes instruction set blocks 201, 202, 203 for comparing each calculated data with a threshold value.
    A value, called low relevance value, preferably 0, is then assigned to said calculated data when the value of said computed data value is lower than said threshold value. Otherwise, a higher relevance value, called a high relevance value, preferably 1, is assigned to said calculated data when the value of said calculated data is greater than said threshold value.
    Then, the processing and calculation module 8 executes a block of instructions 300 for determining a value, called the probability variation value, as a function of the relevance values attributed to the data and according to the type of these data.
    The determination of the probability variation value makes it possible to put the signal processing results of the sensors in a form that can be used for the construction of a law of temperature adapted to the intended use of the bathroom at a later time, by example for the next day or the following week.
    When all the calculated data has a low relevance value, the instruction block 300 determines that the probability variation value is equal to a negative value. When a plurality of calculated data has a high relevance value, the probability variation value is determined to be equal to the highest value of high relevance among said calculated data. By way of example, it can be provided that the processing and calculation module proceeds as follows: if the evolution of the humidity signal is significant, then the variation of the probability is +3; if the evolution of the motion signal is significant, then the probability variation is +2; if the evolution of the brightness signal is significant, then the probability variation is +2; if no signal shows a significant change, then the probability variation of -1.
    Motion and brightness signals are less reliable than moisture to characterize moments of presence requiring comfort. They detect bathroom uses other than showers or baths, but are sensitive to the positioning of the towel warmer in the room and to optical obstacles in the environment of the room. This is why the device is configured so that a significant change in humidity generates a greater variation in the probability.
    The processing and calculation module 8 then determines, using a determination block 400, a comfort requirement probability value, as a function of the determined probability variation value.
    In particular, the comfort requirement probability value is calculated by adding the largest probability variation value to a probability value that has been defined or calculated previously, for example the previous week, for the current schedule, and which is associated with the schedule during which said calculation is made.
    The calculation and processing module 8 comprises a definition block 500 which then makes it possible to define a setpoint temperature according to said determined comfort requirement probability value. In other words, the definition block 500 converts the comfort requirement probability value into a set temperature.
    As detailed below, this setpoint temperature is stored by the learning module 80 which associates it with a subsequent schedule defined according to the current time at which said setpoint temperature has been defined.
    The set temperature thus defined is intended to be used to build the subsequent control signal of the heating body to meet the associated comfort need corresponding to said defined set temperature.
    In the example illustrated in the figures, the calculated humidity data is the rate of change in humidity, denoted by humidity, calculated according to the formula: moisture = (moisture (t_0 + t_humidity) - humidity (t_0)) / Humidity with humidity (t_0) being the value of the humidity measured at a given time t_0; humidity being a predefined duration, for example 15 minutes; humidity (t_0 + t_ humidity) being the value of the humidity measured at time t_0 + t_ humidity;
    In order to eliminate "false start" cases, the processing and calculation module is configured so that, after detection of an increase in humidity, it falls below the value it initially had, the processing and calculation module resets the calculation of the humidity data.
    The calculation of the movement data is performed as a function of: a predefined time value, called characteristic time, for example 15 minutes; a predefined number of movements during said characteristic time, and the motion signal transmitted by the motion sensor to the processing and calculation module 8.
    Said predetermined number of movements during said characteristic time corresponds to a number of detected movements reflecting a heating requirement in COMFORT mode, for example 10 detected movements.
    Said characteristic time value corresponds to the characteristic time of a set of events impacting the movement, and reflecting a heating requirement in COMFORT mode. The calculated movement data thus corresponds to the number of movements during the characteristic time
    The combination of the two parameters of number of movement and characteristic time can be seen as a density of detections of movements over a fixed duration.
    The humidity data is calculated according to: a predefined time value, called the characteristic time, for example 15 minutes, a humidity variation value, and the humidity signal transmitted by the humidity sensor; humidity in the processing and calculation module 8.
    The calculated humidity data corresponds to the humidity variation during the characteristic time. The characteristic time value corresponds to the characteristic time of an event impacting humidity, and reflecting a heating need in COMFORT mode.
    The humidity variation value corresponds to the humidity variation of an event reflecting a heating requirement in COMFORT mode.
    The calculation of the brightness data is performed as a function of: a predefined time value, called a characteristic time, a brightness variation value, a brightness threshold value, and the brightness signal transmitted by the brightness sensor; brightness to the processing and calculation module.
    The high brightness limit is used to filter unwanted natural events. The calculated brightness data thus corresponds to the variation of brightness during the characteristic time. Said characteristic time corresponds to the characteristic time of an event affecting the brightness, and reflecting a heating need mode COMFORT.
    The combination of the three characteristic time parameters, luminosity threshold brightness variation, can be seen as a speed of evolution of the average brightness over a fixed duration, with a brightness level limit.
    As recalled above, the apparatus includes a life cycle training module 80 configured to set target temperature control laws to be performed later, preferably repeatedly, from the operating data of the device.
    Said learning module 80 can be produced in the same way as the other modules in the form of an electronic and / or computer unit.
    Said life-training module 80 is configured to establish a control law by associating said setpoint temperature defined by the calculation and processing module 8 with a schedule called the control schedule. Said control time is defined according to the schedule, called the definition schedule, at which said setpoint temperature has been defined by the calculation and processing module 8. Using a block of instructions 81, the learning module 80 associates the set temperature thus defined in the corresponding time step. A time step corresponds to a quarter of an hour in the example illustrated in the figures.
    According to a preferred embodiment and illustrated in FIG. 2, the life-training module 80 also comprises a correction block 82 configured to calculate the control time of said setpoint temperature as being equal to the time schedule of corrected definition of predefined Danticip prediction time. The Danticip anticipation time for controlling the stored setpoint temperature is calculated as a function of the difference between the set setpoint temperature Tcons and the ambient temperature Tamb memorized at the definition time.
    Thus, the learning module 8 defines a set temperature law corrected by the anticipation time Danticip, which makes it possible to reach the setpoint temperature from the beginning of the corresponding time step.
    FIGS. 3 to 7 detailed below illustrate an example of a setpoint temperature definition as a function of the signals transmitted by the sensors and an example of learning a corresponding control law for a day of the following week with respect to the law implemented for the corresponding day of the current week.
    The occupancy time of the bathroom for use requiring heating of the set temperature level corresponding to the COMFORT mode is approximately fifteen minutes. Thus, in the example illustrated in FIGS. 3 to 7, the learning module 80 is configured to memorize the rhythm of life in quarter-hour increments for each day of the week.
    As mentioned above, the processing and calculation module 8 operates cyclically with a time step of 10 seconds. Thus, in practice, the passage of the time step of 10 seconds of the processing and calculation module, at the time step of 15 minutes of the programming logic of the learning module 80 and therefore of the control module 6, is realized by shifting the 15-minute time step by 10 seconds from the corresponding full quarter-hour.
    In addition, the signals transmitted by the motion sensor to the processing and calculation module are divided into periods of time of a duration corresponding to the characteristic time defined, here 15min. In practice, cutting begins 20 seconds before the first quarter of an hour after startup. This makes it possible to: synchronize the determinations of motion relevance values (significant or non-significant detections) and the quarter-hours of programming, and take into account any value of high relevance of movement determined during the fifteen-minute time period. course, for the determination of the variation of probability that is 10 seconds before the end of said quarter of an hour.
    Fig. 3 is a graph showing motion detected as a function of time. On the graph, it appears that a movement was detected between 15:00 and 15:15. This single movement related to the predefined characteristic time is not considered significant. Indeed, the number of predefined movement used to define the corresponding threshold value is, for example, 10, so that 20 seconds before 3:15 the relevance value associated with the movement data is the value 0.
    Conversely, between 15:30 and 15:45, it is found that a number of movement greater than the predefined number for the calculation of the corresponding threshold value has been detected. As a result, 20 seconds before 3:45 pm, the relevance value associated with the movement data is the value 1. At the end of the next fifteen minutes, 20 seconds before at 16:00, the relevance value associated with the movement data. is again 0 since no movement has been detected on the quarter of an hour.
    Figure 4 is a graph showing the detected moisture (as a percentage) as a function of time. On the graph, it appears that the humidity is stable at 66% between 15:00 and 15:15. The rate of change of the humidity is thus lower than the corresponding threshold value so that the relevance value associated with the detected moisture is equal to 0.
    Then the humidity increases until reaching a level at 73%, so that a little after 15:30, the speed of change of humidity over the quarter-hour "sliding" previous is greater than the predefined threshold value corresponding. The relevance value associated with the detected humidity is then equal to 1.
    Figure 5 is a graph showing the detected brightness (in lux) as a function of time. The limit value beyond which the measurement is cut off is 100 lux. On the graph, it thus appears that the detected brightness is zero until a little before 3:15 pm, and then passes essentially instantaneously to 70% and remains at this value until a little before 3:45 pm, after which the brightness detected is again zero . Thus, the relevance value associated with the brightness is equal to 1 shortly before 3:15 pm.
    The graph in Figure 5 gives the probability variation values determined as a function of time. Before 3:00 pm, the determined probability variation value was equal to -1 because the relevance values of all the calculated motion, humidity, and brightness data were equal to 0.
    The probability variation value determined on the slot 15:00 -15:15 is +2 because of the relevance value at the high of the detected brightness shortly before 3:15 pm. For the time slot 3:15 pm to 3:30 pm, the determined probability variation value becomes equal to -1, because of the absence of detected motion, the absence of an increase in the detected brightness and because of a speed of moisture evolution too low on this niche.
    But for the following slot 15: 30-15: 45, the determined probability variation value is +3 because, a little after 15:30, the speed of change of humidity, taken over a characteristic time of 15 minutes is considered significant (value of high relevance). It is also noted that in this slot the number of detected motion is significant so that a probability variation value of + 2 would be determined in the absence of a high relevance value of the humidity. But, the detection of these significant movements does not affect the determination of the variation of probability which is +3 because of the determination of a significant humidity.
    Figure 6 is a graph giving the values of the probability of need for comfort according to the slots, taking into account the associated variations in probability. The dashed curve gives the probability of comfort need determined previously, for example the previous week, for the current week, while the dashed curve gives the probability of need of comfort determined for the following week according to said values. of determined probability variation and according to said comfort requirement probability previously determined for the current week.
    Thus, before 15:00, the probability of need of comfort is equal to 1 for the current week, so that the probability of need of comfort passes to 0 because of the probability variation of -1. For the time slot from 15:00 to 15:15, the probability of need for comfort is equal to 2 for the current week, so that the probability of need for comfort increases to 4 for the following week because of the determined probability variation of 2 which is adds to the comfort need probability value of the current week. For the time of 3:15 pm to 3:30 pm, the probability of need for comfort is equal to 2 for the current week, so that the probability of need of comfort increases to 4 for the following week because of the determined probability variation of 2 which is added to the comfort requirement probability value of the current week. Similarly, the probability values for slots 15: 30-15: 45 and 15: 45-16: 00 respectively pass from 2 to 5 and then from 5 to 4.
    These probabilities reflect a more or less certain certainty of a need for heating according to the COMFORT mode. As a reminder, the comfort mode corresponds to a set temperature Tconf of, for example, 22 ° adapted to a use of the shower or bath type of the bathroom.
    In practice, the learning module comprises a matrix representing all quarter-hours of a week to each of which is associated with a set temperature. This setpoint temperature defined as above is updated 10 seconds before the end of the corresponding quarter of an hour.
    When the probability is very low, for example 0 or 1, the set temperature is defined as being equal to the setpoint temperature of the COMFORT mode, denoted Tconf, minus 3 °. When the probability is 2, the set temperature is defined as being equal to the temperature Tconf minus 2 °. When the probability is 3, the set temperature is defined as being equal to the temperature Tconf minus 1 °. When the probability is greater than or equal to 4, the set temperature is defined as being equal to the temperature Tconf. The invention is not limited to the embodiments illustrated in the drawings. Accordingly, it should be understood that when the features mentioned in the appended claims are followed by reference signs, these signs are included solely for the purpose of improving the intelligibility of the claims and are in no way limiting to the scope of the claims. claims.
    Moreover, the term "including" does not exclude other elements or steps. In addition, features or steps that have been described with reference to one of the embodiments set forth above may also be used in combination with other features or steps of other embodiments set forth above.
    权利要求:
    Claims (10)
    [1" id="c-fr-0001]
    1. Heating apparatus, preferably of the towel-drying type, for heating a bathroom, said apparatus comprising: - a heating body (3), preferably electric, - a control module (6) of the heating body configured to control the heater (3) according to a set temperature; - A motion sensor (801) capable of acquiring a signal representative of a movement, and - a brightness sensor (802) able to acquire a signal representative of the brightness, characterized in that the apparatus further comprises: a humidity sensor (803) adapted to acquire a signal representative of the humidity in the bathroom; a processing and calculation module (8) adapted to receive signals transmitted by said sensors, said processing and calculation module (8) being configured to: calculate (101, 102, 103) a data relating to the movement, called the motion datum, a brightness datum, called the brightness datum, and a humidity datum, called the humidity datum, from the signals transmitted by said sensors, and • set (500) a setpoint temperature (COMFORT-3; COMFORT) according to said calculated motion, brightness and humidity data.
    [2" id="c-fr-0002]
    2. Apparatus according to claim 1, characterized in that the calculation and processing module (8) is configured for, after the calculation (101, 102, 103) of the movement, humidity and brightness data: • compare (201, 202, 203) each data computed with a threshold value and assign to said computed data: a value, called a low relevance value, preferably 0, when the value of said computed data value is lower than said threshold value, and a higher value, called a high relevance value, preferably 1, when the value of said computed data value is greater than said threshold value; • determining (301, 302, 303) a value, called the probability variation value, according to the relevance values assigned to the data and according to the type of these data; Determining (400) a value, called the comfort need probability value, as a function of the determined probability variation value; and in that the calculation and processing module (8) is configured to define (500) said setpoint temperature according to said determined comfort requirement probability value.
    [3" id="c-fr-0003]
    Apparatus according to one of the preceding claims, characterized in that the probability variation attributed to the high relevance value of the humidity data is greater than the probability variation value attributed to the high relevance values of the data of movement and brightness.
    [4" id="c-fr-0004]
    4. Apparatus according to one of the preceding claims, characterized in that the calculated moisture data is the rate of change of humidity, noted v_humidity.
    [5" id="c-fr-0005]
    5. Apparatus according to one of the preceding claims, characterized in that, the apparatus comprising a life-training module (80) configured to establish set-point temperature control laws to be executed later, from Preferably, from the operating data of the apparatus, said learning module (80) is also configured to establish a control law by associating said setpoint temperature defined by the calculation and processing module (8). ) with a schedule, called the control schedule, and preferably a weekday, defined according to the schedule, called the definition schedule, and preferably the weekday, at which said setpoint temperature has been defined by the calculation and processing module (8).
    [6" id="c-fr-0006]
    Apparatus according to claim 5, characterized in that the life-training module (80) is configured to calculate the control time as being equal to the corrected definition time of an anticipation time. (Danticip) predefined.
    [7" id="c-fr-0007]
    7. Apparatus according to claim 6, characterized in that the anticipation time (Danticip) for triggering the stored setpoint temperature is calculated as a function of the difference between the setpoint temperature and the ambient temperature (Tamb) stored in memory. definition time.
    [8" id="c-fr-0008]
    8. Apparatus according to one of the preceding claims, characterized in that the calculation of the motion data is performed as a function of: - a predefined time value, called characteristic time, - a predefined number of movement during said characteristic time, and - the motion signal transmitted by the motion sensor to the processing and calculation module (8).
    [9" id="c-fr-0009]
    9. Apparatus according to one of the preceding claims, characterized in that the calculation of the humidity data is performed as a function of: - a predefined time value, called characteristic time, - a humidity variation value, and the humidity signal transmitted by the humidity sensor to the processing and calculation module (8).
    [10" id="c-fr-0010]
    10. Apparatus according to one of the preceding claims, characterized in that the calculation of the brightness data is performed as a function of: - a predefined time value, called characteristic time, - a brightness variation value, - a value brightness threshold, and - the brightness signal transmitted by the brightness sensor to the processing and calculation module.
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    同族专利:
    公开号 | 公开日
    PL3181025T3|2019-11-29|
    ES2734385T3|2019-12-05|
    EP3181025A1|2017-06-21|
    EP3181025B1|2019-04-17|
    PT3181025T|2019-07-17|
    FR3045307B1|2017-12-29|
    引用文献:
    公开号 | 申请日 | 公开日 | 申请人 | 专利标题
    US4623969A|1983-01-07|1986-11-18|David Bensoussan|Electronic temperature controller for householding|
    EP2367087A1|2010-03-19|2011-09-21|Thermor Pacific|Method of controlling a device and device adapted to carry out said method|
    US8600561B1|2012-09-30|2013-12-03|Nest Labs, Inc.|Radiant heating controls and methods for an environmental control system|
    EP2742838A1|2012-12-17|2014-06-18|Atlantic Industrie|Heating apparatus such as a towel-drying radiator|CN105852716A|2016-06-03|2016-08-17|任振宇|Towel drying rod|
    FR3083299A1|2018-06-28|2020-01-03|Muller Et Cie|HEATER TYPE BLOWER RADIATOR|
    RU208713U1|2020-10-06|2022-01-10|Общество с ограниченной ответственностью "АРГО"|Module equipped with a digital touch screen thermostat with a timer to control the heating temperature and the operating time of an electric household cable-type heated towel rail.|
    法律状态:
    2016-12-22| PLFP| Fee payment|Year of fee payment: 2 |
    2017-06-23| PLSC| Publication of the preliminary search report|Effective date: 20170623 |
    2017-12-21| PLFP| Fee payment|Year of fee payment: 3 |
    2019-12-19| PLFP| Fee payment|Year of fee payment: 5 |
    2021-09-10| ST| Notification of lapse|Effective date: 20210806 |
    优先权:
    申请号 | 申请日 | 专利标题
    FR1562582A|FR3045307B1|2015-12-17|2015-12-17|HEATING APPARATUS, PREFERABLY OF TOWEL TYPE, FOR HEATING A BATHROOM|FR1562582A| FR3045307B1|2015-12-17|2015-12-17|HEATING APPARATUS, PREFERABLY OF TOWEL TYPE, FOR HEATING A BATHROOM|
    PL16203417T| PL3181025T3|2015-12-17|2016-12-12|Heating apparatus, preferably a towel dryer, for heating of a bathroom|
    ES16203417T| ES2734385T3|2015-12-17|2016-12-12|Heating device, preferably towel dryer type, for heating a bathroom|
    EP16203417.7A| EP3181025B1|2015-12-17|2016-12-12|Heating apparatus, preferably a towel dryer, for heating of a bathroom|
    PT16203417T| PT3181025T|2015-12-17|2016-12-12|Heating apparatus, preferably a towel dryer, for heating of a bathroom|
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