DE202021105933U1 - Room air assistance system - Google Patents

Abstract

Indoor air assistance system (1) for monitoring the air in at least one room, with- at least two sensors (2a, 2b) for measuring sensor data, the sensor data being suitable for characterizing the air in the at least one room;- a fusion unit (31) that is set up to merge the sensor data of the at least two sensors (2a, 2b); - a determination unit (32) that is set up to determine at least one scenario based on the merged sensor data that has a plausible cause for the merged represents sensor data; and - a selection unit (4) which is set up to select at least one measure from a list of measures on the basis of the at least one specific scenario.

Description

The invention relates to a room air assistance system according to the preamble of claim 1.

We spend a large part of the day indoors, especially at home. The quality of the room air in your own four walls therefore has a significant influence on our well-being and health. Especially children, allergy sufferers and people with a weak immune system suffer from air pollutants, and typical symptoms such as headaches, dizziness or fatigue can also occur in healthy people.

An important aspect of the quality of living is therefore the air in a room. Air can be characterized by temperature, oxygen content, air pressure, fine dust content, particle size, particle number, smoke content, moisture content, carbon monoxide content, carbon dioxide content, nitrogen dioxide content, fuel gas content, virus content and / or volatile, especially airborne, organic compounds, VOCs. For example, if the temperature of the air inside a room is too high, this can affect well-being. By opening a window, the quality of the air (and thus also the well-being) can be improved if the air outside the room is of a higher quality than the air inside the room. In addition, ventilation systems can supply air to rooms, preferably in combination with air conditioning systems, and / or periodically exchange the air in a room. Their operation can also improve the quality of the air.

It is known to collect sensor data to characterize the air and to display the sensor data directly or to send it to a smartphone. The sensor data are often measured by passive measurement sensors, which are often designed as an isolated solution for individual parameters.

The object of the present invention is to improve the quality of the air in a room.

This object is achieved by an object with the features of claim 1.

The invention is partly based on the consideration that the air in a room is contaminated by sources of contamination such as cooking areas, evaporating furniture, evaporating carpets, people present, open fireplaces such as chimneys, household waste treatment, for example organic waste separation and compost in the garden, as well as hygienic measures such as cleaning Can be affected with chemical cleaning products, food and pets. For example, if the humidity is too high, condensation can occur, which can lead to the formation of mold.

Another consideration is that increased carbon dioxide levels indoors can lead to poor concentration.

It is therefore desirable to monitor the air in at least one room with feedback with a recommendation of a measure to a person, for example to a resident of the at least one room, and / or a monitoring with the possibility of automatically initiating suitable measures to control the air if necessary improve, as it can be desirable, for example, for a storage room in which people are not constantly. The improvement of the air can be automated, authorized by the person or by an action of the person himself. If necessary, the measures can also be used to save energy, for example by regulating heating and ventilation.

Concrete measures for improving the indoor air quality can include one or more of a change in the air flow rate through a ventilation system for the at least one room, boost ventilation through window openings, regulation of an air temperature via the heating system, humidification of the room air via an air humidifier, replacement of filters of the ventilation system, cleaning of the ventilation system and / or the removal of objects from the at least one room which, for example, emit VOCs.

To monitor the air, a room air assistance system is provided with at least two sensors for measuring sensor data which are suitable for characterizing the air in the at least one room. By using two sensors, for example, cross-sensitivities can be reduced. Cross-sensitivity can be understood to mean that a certain property of the air can influence the measurement of another property of the air. For example, the presence of individual substances can influence the measurement of other substances. The sensors can be used in a ventilation system of the at least one room, in particular a first of the at least two sensors can be provided in a flow channel for supply air to the at least one room and a second of the at least two sensors can be provided in a flow channel for exhaust air from the at least one room.

In one embodiment, the supply air and the exhaust air can be characterized with the at least two sensors in order to characterize the air in the at least one room. To characterize the air, the at least two sensors can collect sensor data that reflect the physical and / or chemical properties of the air. The sensor data can include at least one of temperature, oxygen content, air pressure, fine dust content, particle size, number of particles (for example per unit volume of air), smoke content, moisture content, carbon monoxide content, carbon dioxide content, nitrogen dioxide content, fuel gas content, virus count and a content of (airborne) volatile organic compounds, VOCs include. A content can include a concentration of the named substances in the air. There are public guidelines for the content of at least some of the substances mentioned. For example, a carbon dioxide concentration in school rooms should not exceed 2000 ppm.

VOCs are volatile organic compounds. They often cause odors. Sources of VOCs in the air of at least one room can be, for example, plastics in particular with plasticizers, building materials, furniture, in particular furniture made of wood, carpets, cleaning agents, animal or body odor, kitchen fumes, painters or renovation work, concealed water damage and / or tobacco products, the people in the at least one room consume.

Plants can also emit VOCs. Typical VOCs are, for example, solvents in adhesives, paints and varnishes, or formaldehyde, which is often used as a binding agent in wood-based materials. The volatile organic compounds also include the SVOCs (semi volatile organic compounds), such as biocides, plasticizers or flame retardants.

With the at least two sensors, contamination of the room air can be determined on the basis of the sensor data. In addition, the room air assistance system can be used to determine the efficiency of devices for changing, in particular improving, the air, such as air filters, particle filters and air humidifiers.

In one embodiment, a control interface is provided via which instructions for controlling devices for changing the air in the at least one room can be transmitted to a control unit as part of the at least one measure. The at least one measure can therefore include the transmission of instructions to the control unit. For example, it is conceivable and possible to use the control unit to control a device for changing the air, which device can, for example, prevent the supply of supply air. In principle, the control interface can be linked to a smart home control system, so that it is possible to automate the improvement of the indoor air quality.

In principle, the room air assistance system can comprise an outside air unit for obtaining outside air data. The outside air outside the at least one room can, for example, by a fine dust content depending on the wind, a nitrogen content depending on motor vehicle traffic, a content of volatile organic compounds depending on an activity in agriculture, for example applying manure to fields, an activity of industrial plants in the Environment of the at least one room or a pollen count can be characterized as a function of the season or the weather. An environment can be understood here, for example, as an environment within a radius of 50 km around the at least one room. In principle, however, it is also possible to understand an environment around the at least one room as a radius of up to 5 km or up to 100 m.

In one embodiment, the room air assistance system can have a personal unit for obtaining personal data, the personal data being suitable for characterizing a number and / or properties of people who are in the at least one room. The person unit can, for example, have an interface to an access system to the at least one room. The access system can, for example, allow access to the at least one room to authorized persons using a fingerprint, so that it can be stored in the access system how many and which people are in the at least one room. This means that scenarios can be mapped that allow the presence and absence of residents through to personalization of the room climate settings.

In one embodiment, the room air assistance system can have a weather unit for obtaining weather data that are suitable for characterizing the weather. The weather unit can, for example, be connected to the Internet in order to obtain weather data. Weather data can include, for example, temperature, moisture content, air pressure, carbon dioxide content, carbon dioxide content, nitrogen dioxide content, particle number, particle size, probability of rain, wind strength, pollen count, fine dust pollution and VOC content of the outside air.

The room air assistance system comprises a fusion unit which is set up to merge the sensor data of the at least two sensors. In one embodiment, the room air assistance system includes, for example, the outside air unit. The fusion unit can then, for example, also be set up to merge the sensor data from the at least two sensors with the outside air data. The idea behind this is that the individual sensor data from possibly different sensors and sensor types should not be viewed separately and without context. Instead, the different sensor data should be logically linked, at least in part. For example, a significantly increased moisture content and at the same time a high VOC concentration can indicate an increased likelihood of mold.

The merging of data, in particular sensor data, can generally refer to the linking of output data from at least two sensors (and / or other data). This allows information of better quality to be obtained. A merger of data that brings added value can also be achieved in that the temporal progression of the sensor data flows into the data merger. The sensor data can be systematically stored over longer time intervals and evaluated if necessary. With regard to an air quality measurement or determination of the quality of the air, access to the time profile can be advantageous. The room air assistance system can therefore have a storage unit which is set up to store the sensor data of the at least two sensors. In contrast to a smoke detector, for example, the room air assistance system can recognize hazards faster and more efficiently.

According to one embodiment, the at least two sensors can wirelessly transmit the sensor data to the fusion unit through at least one transmission unit. A wireless transmission can consist, for example, in the sensor data being transmitted by radio, in particular via a bidirectional radio standard such as Zigbee, Z-Wave, Enocean, Bluetooth and WLAN. For example, a transmission unit can be assigned to each of the at least two sensors. The transmission unit can in particular transmit radio signals at a frequency of 868 MHz.

In one embodiment, the room air assistance system has an output interface via which the at least one measure can be output optically or via which the at least one measure can be transmitted to a mobile terminal. An optical output can include, for example, the output of a text on a display device or the lighting up of an indicator light. The mobile terminal can be a smartphone or tablet, for example. A software application that is set up to display the at least one measure can be installed on the mobile terminal device. It is of course also conceivable and possible to output at least parts of the sensor data via the output interface.

In one embodiment, the room air assistance system has an input interface via which the room air assistance system can be configured and / or controlled. The mobile terminal can be designed to access the room air assistance system via the input interface. For example, instructions for controlling devices for changing the air in the at least one room, such as ventilation and heating, can be transmitted remotely from the mobile terminal through the input interface via the control interface, so that the desired conditions can be set at a specific point in time .

The room air assistance system also includes a determination unit that is set up to determine at least one scenario based on the merged data (sensor data and optionally additional data such as outside air data) that has a plausible cause for the merged data (for example, the merged sensor and Outside air data). The fusion of as large a number of data as possible can significantly improve the precise quality determination of the indoor air and a comprehensive monitoring of the indoor air quality. In particular, because of the merging of the sensor data of the at least two sensors and possibly additional data, a plausible cause for the measured sensor data can be correctly specified with a higher probability.

The room air assistance system further comprises a selection unit which is set up to select at least one measure from a list of measures on the basis of the at least one specific scenario. Such measures can be, for example, “raise the ventilation”, “lower the heating” and / or “switch on the particle filter”. The measures can, for example, be output optically via the output interface of the room air assistance system or can be transmitted to a control unit via the control interface as instructions for controlling the devices for changing the air in the at least one room. One measure can be, for example, that the ventilation in the at least one room is automatically regulated.

At least the fusion unit and possibly also the determination unit and / or the selection unit can be part of a computer device. Such a computer device can be, for example, an “embedded hardware platform” or “KI box”. The at least two sensors can be arranged spatially spaced from the computer device. At least the selection unit can alternatively be formed by a mobile terminal. In general, in one embodiment, at least one of the functional unit, the determination unit and the selection unit can be arranged spatially separated from the at least two sensors. This also includes that, for example, the functional unit and the determination unit can be arranged spatially separate from the at least two sensors. In particular, the at least two sensors can be arranged spatially separated from one another. A spatial separation can mean that there can be a distance of at least 1 m.

In one embodiment, the room air assistance system comprises a sensor array. A sensor array can be understood to mean, for example, a modular arrangement of sensors next to one another. In this way, a large number of sensors can easily be expanded with additional sensors, and defective sensors can easily be replaced. In addition, a large number of sensors can be arranged in a space-saving manner in a sensor array. The sensor array can be formed, for example, by a sensor phalanx. This means that sensor data can be determined with a sufficient detection limit, selectivity and long-term stability. The dimensions of the sensor phalanx can be within 2000 cubic centimeters. For example, the dimensions of the sensor phalanx can be within or in the range of the following values: 20 x 5 x 10 cm. For example, sensors can be used that are optimized for different temperature ranges. In particular, temperature-modulated semiconductor sensors can be used. In principle, the temperature modulation can also be used to create a virtual sensor array.

In one embodiment, at least one of the at least two sensors has a hygrometer, a semiconductor detector, a metal oxide semiconductor sensor, a virtual semiconductor sensor array, a laser particle counter, an infrared sensor, an electrochemical sensor and / or a photoionization detector. Photoionization detectors are particularly suitable for the detection of VOCs. Electrochemical sensors have the advantage of low cross-sensitivity. Semiconductor detectors can have a longer service life than electrochemical sensors. Infrared sensors require little maintenance and are particularly suitable for selectively measuring the carbon dioxide content and fuel gas content (methane and LPG). Laser particle counters are particularly suitable for measuring fine dust and pollen content.

In one embodiment, the determination unit is set up to use a neural network method, in particular with backward propagation, to determine on the basis of the merged sensor data at least one scenario that can represent a plausible cause for the merged sensor data. The neural network can be a feed-forward network. Backward propagation is a special case of a general gradient method in optimization based on a mean square error. The neural backward propagation optimization can be continuously trained by looking back with a quality function, so that the error is reduced. A gas chromatograph can be suitable as an external teacher who knows the desired output, the target value, at any point in time. According to one embodiment, the determination unit can be set up to train the reverse propagation with default data from a gas chromatograph. The determination unit can also use other methods of artificial intelligence or deep learning.

The probability that the at least one scenario represents a cause for the merged sensor data (and possibly further data merged therewith) can be calculated using a Bayesian discriminator. The determination unit can be set up to view a cause as plausible if the probability that it is applicable is higher than a predefined probability value (for example 80%). The scenario can thus be determined using a neural network method and / or the probability of the occurrence of the scenario can be calculated using the Bayesian discriminator.

The backpropagation algorithm can run in the following phases: First, an input pattern (e.g. sensor data from the at least two sensors) is created and propagated forward through layers of a network from an input layer to an output layer in order to generate an output (feed-forward network). Then the output is compared with a desired output (for example the sensor data of the gas chromatograph). A difference between the two values is considered to be a fault in the network. The error is then propagated back through the layers of the network in the opposite direction from the output layer to the input layer. The weightings of the neuron connections are changed depending on their influence on the error. This can make it possible to approximate the desired output when the input pattern is created again. The network can thus learn to give the correct answer with the help of a training data set (desired output).

The quality function G can have the following form: $$\text{G}={\text{G}}_{\text{CO2}}{\text{C.}}_{\text{CO2}}+{\text{G}}_{\text{CO}}{\text{C.}}_{\text{CO}}+{\text{G}}_{\text{H2O}}{\text{C.}}_{\text{H2O}}+{\text{G}}_{\text{T}}\text{T}+{\text{G}}_{\text{VOC}}{\text{C.}}_{\text{VOC}}+{\text{G}}_{\text{Particles}}{\text{C.}}_{\text{Particles}}$$

The abbreviation g stands for a weighting factor with which the measured variable specified in the index of the weighting factor, for example g_CO2 for the weighting factor for the carbon dioxide content, is weighted. The abbreviation C stands for the measured variable specified in the index, for example the carbon dioxide content in C_CO2. T stands for the temperature. H20 stands for the moisture content of the air. C-particle stands for the number of particles. The weighting factor for VOCs, g_VOC, can be correlated with C_VOC, because a predefined value for the weighting factor can depend on the type of VOC concentration. The equation for the quality function can be understood to the effect that the quality function is a sum of the products between the weighting factor of a specified measured variable and the specified measured variable itself.

The weighting factors can be values that can be specified by a person who is in the at least one room, or desired storage conditions for goods in a warehouse. You can use it to reflect, for example, a person's preferences with regard to the indoor climate, requirements for the indoor climate of stored goods or legal requirements. In this sense, the quality function can be a measure of an individual well-being of a person with regard to the air in the at least one room.

In the following, specific examples are given for scenarios and sensor data that are at least required as a basis for determining the scenarios.

The “population” scenario can, for example, be determined via the carbon dioxide content of the air in the at least one room. The carbon dioxide content can therefore be included as a quality parameter in the quality function. A plausible cause for a measured carbon dioxide content can be that a certain number of people are in the at least one room. Every person consumes oxygen and produces carbon dioxide, so that the carbon dioxide level increases with the number of people (population) in the at least one room. For example, in an office with six employees, when the employees are present, the carbon dioxide level can increase from 500 ppm (value in absence) to 700 ppm (value in presence). The at least one scenario can therefore be a certain number of people in the at least one room.

The “stale air” scenario can be determined, for example, via the carbon dioxide content of the air in the at least one room. The carbon dioxide content can therefore be included as a quality parameter in the quality function. A plausible cause for a carbon dioxide content that is too low can be that there is insufficient air exchange in the at least one room. One possible measure can be that a message is issued when the carbon dioxide content is in the critical range, or that an air flow for supply air is increased, optionally depending on weather data, for example when the outside air is OK.

The “good / bad air quality” scenario can be determined, for example, via the carbon dioxide content, the temperature, the moisture content of the air in the at least one room and, optionally, via weather data. The mentioned sensor and weather data can flow into the quality function as weighted quality parameters. The air quality can depend on the specifications of at least one person or one Storage goods can be predetermined in the at least one room. The at least one scenario can therefore be an air quality that deviates from specifications for at least one person and / or at least one object in the at least one room. Several sensors can be used to measure the sensor data. Information from the Internet can be used to obtain the weather data by the weather unit.

The scenario “Combustion products in the air” or “Open flame” can, for example, be determined via the nitrogen dioxide content and optionally also via a VOC content. The nitrogen dioxide content can be determined by a sensor in an air flow of a ventilation system (for example a flow channel for supply air or exhaust air). The nitrogen dioxide content can be included in the calculation of an air quality parameter. A plausible cause for an excessively high nitrogen dioxide content can be that there is a source of fire in the at least one room, for example a gas stove is operated, candles are burned, or that the supply air to the at least one room is contaminated. The at least one scenario can therefore be the presence of a source of fire in the at least one room. Possible measures can be that the source of the fire is eliminated by switching off the gas stove or that the air flow for supply air is increased. If the supply air to the at least one room is contaminated, the air flow for supply air can be reduced or interrupted. This can be done, for example, by instructing a ventilation system for the at least one room to switch to recirculation mode.

The “fire hazard” scenario can be determined, for example, from the carbon monoxide content and smoke content in the air. This enables a fire hazard to be demonstrated. The carbon monoxide content can be determined by a carbon monoxide sensor. The carbon monoxide content can be included in a calculation of the air quality parameter. The at least one scenario can therefore be a fire hazard in the at least one room. In this scenario, for example, a measure such as an alarm can be transmitted to a mobile terminal via the output interface. Additionally or alternatively, a device for extinguishing fire (for example a sprinkler system) can be instructed to extinguish via the control interface. To differentiate the “fire risk” scenario from the “open flame” scenario, a VOC content can be merged with the carbon monoxide content, because the VOC content can also be used to measure combustion products in the air.

The “VOC” scenario can, for example, be determined using different levels of VOCs in the air. The content of VOCs in the air can be determined by several sensors. The determination unit can be set up to assign the sensor data to VOC classes and to carry out a pattern recognition in order to determine a plausible cause for the merged sensor data.

The “high / low humidity” scenario can be determined, for example, via the moisture content of the air. The moisture content can flow into the quality function as a quality parameter. In particular, the moisture content can be continuously stored in a storage unit in order to hold available sensor data which present a time profile of the moisture content. In this way, for example, water damage or similar events that lead to an excessively increasing moisture content can be determined as plausible causes. Should it be established (depending on the time course) that a plausible cause for a high level of humidity is that laundry is being dried in the at least one room, the measure can consist in increasing an air flow of the supply air, possibly depending on whether the outside air is okay. If, on the other hand, the humidity is permanently too high and a high VOC content is also found, a plausible cause for the merged data may be that mold is present in the at least one room. The measure can then consist of proposing to examine the building for mold, for example, and / or to initiate drying measures. The at least one scenario can therefore be the presence of mold and / or water damage in the at least one room.

The “high / low temperature” scenario can, for example, be determined via a temperature of the air. The temperature can be included in the quality function.

The “particle pollution” scenario can be determined, for example, by measuring particles with a diameter of less than 2.5 µm and a diameter of less than 10 µm using a particle counter. The number of particles can flow into the quality function as a quality parameter.

The “pollen load” scenario can be determined, for example, by measuring pollen in the air with a particle counter. In addition, pollen exposure data from the Internet can be included in the data fusion via the weather unit.

The “presence” scenario can be determined, for example, by a degree of changes in the sensor data over time. If only minor changes are found, a plausible cause may be that there are no people in the at least one room. The at least one measure can consist in saving energy, for example by instructing a heater via the control unit to reduce the heating power.

The “product use” scenario can be determined, for example, by measuring a protective gas that is used in sealed packaging in combination with the spread of VOCs that represent the aromas of the product. A plausible cause can be that a package, for example a pack of coffee, has been opened. The at least one scenario can be a fingerprint of a product that the product leaves in the air of the at least one room (for example through the release of VOCs during use). The at least one measure can consist in supporting the use of the goods (for example enjoying the coffee); For example, an entertainment system can be controlled via the control interface in order to play lounge music.

The sensor data can be measured in the following measuring ranges. Particle number can be measured by laser scattered light measurement in a measuring range from 1 to 500 micrograms / cubic meter. The moisture content can be measured capacitively in a measuring range from 5 to 99% relative humidity. The carbon monoxide content can be measured electrochemically in a measuring range from 0.5 to 1000 ppm. The carbon dioxide content can be measured using an infrared sensor in a measuring range from 1 to 4000 ppm. The nitrogen dioxide content can be measured electrochemically in a measuring range from 10 ppb to 10 ppm. VOCs can be measured via metal oxide semiconductor sensors in a measuring range of 0.1 to 100 milligrams / cubic meter or 100 ppb to 10 ppm.

According to one aspect of the invention, the object is achieved by a method for monitoring the air in at least one room. The method comprises the following steps: measuring sensor data which are suitable for characterizing the air in the at least one room; Merging the sensor data of the at least two sensors; Determining at least one scenario on the basis of the merged sensor data that represents a plausible cause for the merged sensor data; and selecting at least one measure from a list of measures on the basis of the at least one specific scenario.

The at least one scenario can be determined using a neural network method. The plausibility of the cause can be calculated using the Bayesian discriminator. A probability of the occurrence of the at least one scenario can thus be determined. The at least one scenario with the highest probability of occurring can be the plausible cause.

• 1 eine schematische Ansicht eines Raumluftassistenzsystem;
• 2 eine Ansicht eines Raumluftassistenzsystems mit Strömungskanälen; und
• 3 ein Gebäude mit einem Raumluftassistenzsystem.

The idea on which the invention is based will be explained in more detail below with reference to the exemplary embodiments shown in the figures. Show it:

• 1 a schematic view of a room air assistance system;
• 2 a view of a room air assistance system with flow channels; and
• 3 a building with a room air assistance system.

1 shows a room air assistance system 1 with two sensors 2a , 2 B for measuring sensor data. Such sensor data can be, for example, temperature or carbon dioxide content. The sensors 2a , 2 B can both measure the same sensor data or measure different sensor data to complement each other. The sensor data can be used to characterize the air in a room in which the room air assistance system 1 is arranged. The air can for example be characterized by its temperature or its carbon dioxide content. For the measurement, the two sensors can be arranged at locations spaced apart from one another in the at least one room or at air-permeable accesses to the at least one room.

The room air assistance system 1 has a computing device 3 on that one fusion entity 31 and a determining unit 32 includes. The fusion unit 31 is set up to receive the sensor data of the two sensors 2a , 2 B to merge. The sensor data are sent to the fusion unit 31 preferably transmitted wirelessly. One advantage may be that the two sensors 2a , 2 B to the fusion unit 31 Can be arranged spatially separated, so that the room air assistance system 1 can be used flexibly. The unit of determination 32 is set up to determine on the basis of the merged sensor data at least one scenario that represents a plausible cause for the merged sensor data. In this sense, the determining unit 32 can be used to analyze the merged sensor data.

The fused sensor data can include, for example, a carbon monoxide content and a VOC content. On the basis of this merged sensor data, the determination unit 32 for example, using a neural network method, determine that the “open flame” scenario may be present. In addition, the determination unit 32 determine a probability for the presence of the “open flame” scenario, in particular using a Bayesian discriminator. If the probability exceeds a predetermined value, the determination unit can 32 determine the “open flame” scenario as the plausible cause for the merged sensor data. If necessary, several scenarios can represent a plausible cause for the merged sensor data. This can be due to the fact that at least two scenarios actually exist or because at least two scenarios are plausible. Therefore, the determining unit 32 be set up to also determine a large number of scenarios on the basis of the merged sensor data.

The computing device 3 is with a selector 4th connected, which is set up to select at least one measure from a list of measures based on the at least one specific scenario. In principle, the selection unit 4th Part of the computer device 3 being. The selection unit 4th is in the present case a mobile terminal that connects wirelessly to the computer device 3 communicates.

Suitable measures in the case of the “open flame” scenario given by way of example can be, for example, to induce a user to check whether a fire is present or to automatically extinguish the flame.

As part of the at least one measure, for example, instructions can be provided by a control interface 51 be transmitted. The control interface 51 is with the selection unit 4th connected. Alternatively, the selection unit 4th the control interface 51 include. For example, the selection unit 4th be a mobile device that can be accessed via the control interface 51 with a device for changing the air L. in which at least one room can be connected. The instructions can use the device to change the air L. cause the air to change. For example, the device for changing the air L. have a ventilation system which is caused by the instructions to ventilate the at least one room.

The room air assistance system 1 has an output interface 52 via which the at least one measure can be output optically or via which the at least one measure can be transmitted to a mobile terminal. The output interface 52 can be used, for example, to connect an optical display to the room air assistance system 1 serve. The visual display can be set up to output the at least one measure in the form of a recommendation for action, for example in text form as “Please open window!”. The output interface 52 can be set up to establish a radio connection to a mobile terminal. For example, a software application can be set up on the mobile terminal device with which the at least one measure can be displayed. The at least one measure can serve to improve the quality of the air in the at least one room and / or at least the conditions for people or objects that are arranged in the at least one room.

The room air assistance system 1 also has an input interface 50 on which the room air assistance system 1 can be configured and / or controlled. The input interface 50 can be set up to establish a radio connection to a mobile terminal. A user of the mobile terminal can use the mobile terminal to use the room air assistance system 1 configure and / or control. For example, the user of the mobile terminal can also use his mobile terminal with the room air assistance system when he is absent from the at least one room 1 monitor the air in at least one room.

The room air assistance system 1 furthermore has a weather unit 53 to obtain weather data. The weather data are suitable for characterizing the weather.

Weather data can be temperature, probability of rain, humidity, wind speed, pollen forecast, particulate matter pollution, toxin pollution and / or time of year. The weather partly determines the quality of the outside air and thus of the supply air Z to the at least one room that is used to improve the air in the at least one room. The weather data can therefore be used to select measures that are suitable for improving the quality of the air in the at least one room. The weather unit 53 can for example be an interface to the internet 7th include, about the weather data from the internet 7th provided weather services can be obtained. Additionally or alternatively the weather unit 53 be suitable to be connected to a weather station operated in close proximity to the at least one room in order to obtain the weather data.

The room air assistance system 1 still has a traffic unit 54 to obtain traffic data that are suitable for characterizing the traffic. In particular, the traffic data can be suitable for characterizing the traffic in a radius of less than 50 km from the at least one room. In particular, the traffic data can be suitable for characterizing the traffic within a radius of less than 10 km. This is based on the consideration that traffic, for example the presence of motor vehicles on public roads, partly determines the quality of the outside air and thus possibly also an influence on the supply air Z to the at least one room that is used to improve the air in the at least one room. The traffic unit 54 can for example be an interface to the internet 7th include, on the traffic data from the Internet 7th provided transport services can be obtained. Additionally or alternatively, the traffic unit 54 be suitable to be connected to a traffic monitoring station operated in close proximity to the at least one room in order to obtain the traffic data.

The room air assistance system 1 furthermore has an outside air unit 55 to obtain outside air data. The outside air data are suitable for characterizing outside air outside the at least one room. The outside air can therefore be air that is arranged outside of the at least one room. The air outside the at least one room can be characterized using the same techniques as the air in the at least one room. In this sense, sensor data of the same type can be collected about the outside air as about the air in the at least one room. The sensor data can include at least one of temperature, oxygen content, air pressure, fine dust content, particle size, number of particles (for example per unit volume of air), smoke content, moisture content, carbon monoxide content, carbon dioxide content, nitrogen dioxide content, fuel gas content, virus count and a content of (airborne) volatile organic compounds, VOCs include.

The room air assistance system 1 furthermore has a person unit 56 to obtain personal data. The personal data are suitable for characterizing a number and / or properties of people who are in the at least one room. A characteristic of a person can be, for example, their name or the person’s demands on the quality of the indoor air. The room air assistance system 1 can via the person unit 56 So be informed about who is present in the at least one room. The idea behind this is that the presence of people can affect the quality of the air. In addition, the quality of the air can be changed depending on the preferences of the person, so that the personal data can be merged together with the sensor data in order to provide the selection unit 4th to enable suitable measures to be selected depending on the personal data. The person unit 56 can for example comprise an interface to an access system to the at least one room in order to obtain the personal data.

The room air assistance system 1 furthermore has a storage unit 57 which is set up to store the sensor data, the weather data, the traffic data, the outside air data and / or the personal data. This is what the storage unit is for 57 with the at least two sensors 2a , 2 B , the weather unit 53 , the traffic unit 54 , the outside air unit 55 and the person unit 56 connected for the (possibly wireless) transmission of data. Using the storage unit 57 a chronological sequence of the data described can therefore be kept available. The fusion unit 31 can be set up for this purpose, the sensor data of the at least two sensors 2a , 2 B with those in the storage unit 57 to merge stored sensor data, weather data, traffic data, outside air data and / or personal data. The time course can be merged with the sensor data and the further data in order to determine the at least one scenario. Basically the storage unit is 57 optional, whereby it is also conceivable and possible that the fusion unit 31 only the current sensor data, weather data, traffic data, outside air data and / or personal data are merged and their chronological sequence is not taken into account.

2 shows a room air assistance system 1 which is arranged in a room. The room itself is not shown. With the supply air Z it is air that has a supply air system 6a is fed into the room from outside. With exhaust air A. it is air that has an exhaust air system 6b is derived from the room.

The room air assistance system 1 has a first flow channel 61a on that of the supply air system 6a is arranged. The first flow channel 61a is with a sensor 2a , 2 B for measuring sensor data that are suitable for the supply air Z to characterize the space. The second flow channel 61b is with a sensor 2a , 2 B for measuring sensor data that are suitable for the exhaust air A. characterize in the space. In this way a room air assistance system is created 1 created that is able to provide sensor data that can characterize the air in the room. The flow channels 61a , 61b can have any flow bodies, for example flow tubes.

The two sensors 2a , 2 B are each with a transmission unit 62a , 62b for transmitting the sensor data to a computer device 3 connected. The transmission unit 62a , 62b wirelessly transmits the sensor data to the computing device 3 . The computing device 3 is an example of the fusion unit 31 and the determining unit 32 . In principle, the sensor data can be sent directly to the fusion unit 31 be transmitted. The sensor data are sent to the computer device as raw data, that is to say as physical quantities such as temperature or concentration 3 be transmitted. The computing device 3 assigns a weather unit 53 on having an interface to the internet 7th includes. The weather unit 53 serves as an example of units for obtaining additional data with the sensor data of the two sensors 2a , 2 B can be merged.

After the computer device 3 via the determination unit 32 has determined at least one scenario that represents a plausible cause for the merged data, the at least one specific scenario is transmitted to a mobile terminal that the selection unit 4th having. The mobile terminal selects at least one measure from a list of measures on the basis of the at least one specific scenario. The at least one measure is then displayed to a user of the mobile terminal. For this purpose, a software application can be provided on the mobile terminal.

The arrows that are not labeled serve to clarify the directions of a communication flow between the described elements of the room air assistance system 1 and the communication flow of the room air assistance system 1 through its interfaces with external elements such as the Internet 7th .

The embodiments of 1 and 2 were made with two sensors for simplicity 2a , 2 B shown, but are not limited to. It is also conceivable and possible to use a large number of sensors 2a , 2 B to be provided. The solid connecting lines between the elements of the room air assistance system shown 1 , especially in 1 , are only schematic and do not necessarily represent wired connections. The elements shown can be connected within a device, connected by cables or connected wirelessly.

3 shows a building G with access T . Access T includes a door or gate on the building G . About access T people can use the building G enter and leave. The building G For example, it can be a warehouse or a residential building or a public building such as a school with at least one room. To ensure that only authorized persons enter the building G enter, includes access T an access system that can be used by people in the building G want to enter, have to identify.

Air can be supplied to at least one room Z via a supply air system 6a can be supplied and exhaust air from the at least one room A. via an exhaust system 6b be discharged. The supply air system is used to change the air in the at least one room 6a and the exhaust system 6b each has a device for changing the air L. on. The device each comprises a closure device for the supply air system 6a and the exhaust system 6b . The device for changing the air L. is via a control unit S. controllable so that the supply air Z and the exhaust air A. via the control unit S. can be regulated.

The building G has a room air assistance system 1 to monitor the air in the room. The room air assistance system 1 assigns a person unit 56 that is connected to the access system in order to obtain personal data. The personal data are suitable for characterizing a number and / or properties of people who are in the at least one room. The room air assistance system 1 also has a control interface 51 on, via the instructions for controlling the devices for changing the air in the at least one room to the control unit as part of the at least one measure S. can be transmitted.

In this way, the air in the at least one room is monitored as a function of the sensor data and the personal data. The monitoring of the air as a function of the sensor data and the personal data can in particular include: merging the sensor data and the personal data to form merged data, determining at least one scenario on the basis of the merged data and selecting the at least one measure based on the at least one particular scenario and, if necessary, additionally in Dependency of personal data.

List of reference symbols

1

Room air assistance system

2a, 2b

sensor

3

Computer device

31

Fusion unit

32

Determination unit

4th

Selection unit

50

Input interface

51

Control interface

52

Output interface

53

Weather unit

54

Traffic unit

55

Outdoor air unit

56

Person unit

57

Storage unit

6a

Supply air system

6b

Exhaust system

61a, 61b

Flow channel

62a, 62b

Transmission unit

7th

Internet

A.

Exhaust air

L.

Device for changing the air

G

building

S.

Control unit

T

Access

Z

Supply air

Claims (16)

Room air assistance system (1) for monitoring the air in at least one room, with - At least two sensors (2a, 2b) for measuring sensor data, the sensor data being suitable for characterizing the air in the at least one room; - A fusion unit (31) which is set up to merge the sensor data of the at least two sensors (2a, 2b); - A determination unit (32) which is set up to determine on the basis of the merged sensor data at least one scenario that represents a plausible cause for the merged sensor data; and - A selection unit (4) which is set up to select at least one measure from a list of measures on the basis of the at least one specific scenario. Room air assistance system (1) Claim 1 , characterized in that the room air assistance system (1) is suitable for monitoring the air in a warehouse (G) or at least one room of a residential building (G) or public building (G). Room air assistance system (1) according to one of the Claims 1 or 2 , characterized in that at least one of the fusion unit (31), determination unit (32) and the selection unit (4) is arranged spatially separated from the at least two sensors (2a, 2b). Room air assistance system (1) according to one of the Claims 1 until 3 , characterized in that the room air assistance system (1) has a flow channel (61a, 61b) for supply air (Z) to the at least one room for the arrangement of a first of the at least two sensors (2a, 2b) and a flow channel (61a, 61b) for Exhaust air (A) from the at least one room for the arrangement of a second of the at least two sensors (2a, 2b). Room air assistance system (1) according to one of the preceding claims, characterized by at least one transmission unit (62a, 62b) which is provided to wirelessly transmit the sensor data from the at least two sensors (2a, 2b) to the fusion unit (31). Room air assistance system (1) according to one of the preceding claims, characterized in that the room air assistance system (1) has at least one of the following: - a weather unit (53) for obtaining weather data which are suitable for characterizing the weather; - A traffic unit (54) for obtaining traffic data which are suitable for characterizing the traffic; - An outside air unit (55) for obtaining outside air data which are suitable for characterizing outside air outside the at least one room; - A personal unit (56) for obtaining personal data which are suitable for characterizing a number and / or properties of people who are in the at least one room; and / or - a storage unit (57) which is set up to store the sensor data of the at least two sensors (2a, 2b), the weather data, the traffic data, the outside air data and / or the personal data. Room air assistance system (1) Claim 6 , characterized in that the fusion unit (31) is set up to combine the sensor data of the at least two sensors (2a, 2b) with the sensor data and / or the weather data and / or the traffic data and / or the outside air data stored in the memory unit (57) and / or merge the personal data. Room air assistance system (1) according to one of the preceding claims, characterized by a control interface (51) via which, as part of the at least one measure, instructions for controlling devices for changing the air (L) in the at least one room are transmitted to a control unit (S) can be. Room air assistance system (1) according to one of the preceding claims, characterized in that the room air assistance system (1) has an input interface (50) via which the room air assistance system (1) can be configured and / or controlled. Room air assistance system (1) according to one of the preceding claims, characterized in that the room air assistance system (1) has an output interface (52) via which the at least one measure can be output optically or via which the at least one measure can be transmitted to a mobile terminal . Room air assistance system (1) according to one of the preceding claims, characterized in that the sensor data include at least one of temperature, oxygen content, air pressure, fine dust content, particle size, particle number, moisture content, carbon monoxide content, carbon dioxide content, nitrogen dioxide content, fuel gas content, virus content and a content of volatile organic compounds, VOCs. Room air assistance system (1) according to one of the preceding claims, characterized in that at least one of the at least two sensors (2a, 2b) is a hygrometer, a semiconductor detector, a metal oxide semiconductor sensor, a virtual semiconductor sensor array, a laser particle counter, an infrared sensor, an electrochemical sensor and / or has a photoionization detector. Room air assistance system (1) according to one of the preceding claims, characterized in that the determination unit (32) is set up to determine at least one scenario that has a plausible cause using a neural network method, in particular with backward propagation, on the basis of the merged sensor data represents for the merged sensor data. Room air assistance system (1) Claim 13 , characterized in that the determination unit (32) is set up to train the reverse propagation with default data from a gas chromatograph. Room air assistance system (1) according to one of the preceding claims, characterized in that the determination unit (32) is set up to calculate a probability that the at least one scenario represents a cause for the merged sensor data using a Bayesian discriminator and if there are several possible scenarios to determine the scenario with the highest probability as the plausible cause. Room air assistance system (1) according to one of the preceding claims, characterized in that the at least one scenario is one of: - a certain number of people in the at least one room; - one of the specifications for at least one person and / or at least one object in the at least one room deviating air quality; - A presence of a fire source in the at least one room; - a fire hazard in the at least one room; - a presence of mold and / or water damage in the at least one room; and a fingerprint of a commodity, which the commodity leaves in the air of the at least one room.

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