SE540306C2 - Indoor air ventilation system with smart sensor network - Google Patents

Indoor air ventilation system with smart sensor network

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Publication number
SE540306C2
SE540306C2 SE1530039A SE1530039A SE540306C2 SE 540306 C2 SE540306 C2 SE 540306C2 SE 1530039 A SE1530039 A SE 1530039A SE 1530039 A SE1530039 A SE 1530039A SE 540306 C2 SE540306 C2 SE 540306C2
Authority
SE
Sweden
Prior art keywords
sensor
air ventilation
measurement data
ventilation system
interface
Prior art date
Application number
SE1530039A
Other languages
Swedish (sv)
Other versions
SE1530039A1 (en
Inventor
Henrik Floberg Carl
Minh Cuong Do Conny
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed filed Critical
Priority to SE1530039A priority Critical patent/SE540306C2/en
Publication of SE1530039A1 publication Critical patent/SE1530039A1/en
Publication of SE540306C2 publication Critical patent/SE540306C2/en

Links

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56—Remote control
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56—Remote control
    • F24F11/58—Remote control using Internet communication
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00—Sampling; Preparing specimens for investigation
    • G01N1/02—Devices for withdrawing samples
    • G01N1/22—Devices for withdrawing samples in the gaseous state
    • G01N1/2273—Atmospheric sampling
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004—Gaseous mixtures, e.g. polluted air
    • G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0073—Control unit therefor
    • G01N33/0075—Control unit therefor for multiple spatially distributed sensors, e.g. for environmental monitoring
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/10—Temperature
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/20—Humidity
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/50—Air quality properties
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/50—Air quality properties
    • F24F2110/65—Concentration of specific substances or contaminants
    • F24F2110/70—Carbon dioxide
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00—Control inputs relating to users or occupants
    • F24F2120/10—Occupancy
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
    • F24F2130/30—Artificial light
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2140/00—Control inputs relating to system states
    • F24F2140/60—Energy consumption

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Food Science & Technology (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Air Conditioning Control Device (AREA)
  • Ventilation (AREA)

Description

INDOOR AIR VENTILATION SYSTEM WITH SMART SENSOR NETWORK TECHNICAL FIELD Embodiments herein relate to sensor modules. In particular, they relate to sensor modules for measuring indoor climate parameters and transferring measurement data to other units comprised in sensor networks.
BACKGROUND Poor ventilation negatively affects both buildings i.e. organic materials and their occupants. This is referred to as Sick Building Syndrome (SBS) or Tight Building Syndrome (TBS). Examples of symptoms linked to poor indoor air quality are headache, lack of concentration, fatigue, dizziness, nausea and allergies etc.
Poor ventilation i.e. insufficient outdoor air intake causes excessive Relative Humidity (RH) and elevated carbon dioxide (CO2) levels. Mould grows when RH>70%. Dust mites i.e. microscopic spiders that eat dead shed skin cells occur when RH>45%. Indoor levels of CO2should be less than 1000 ppm or no more than 700 ppm higher than the outside air concentration.
The combination of mould, dust mites and elevated levels of carbon dioxide is a very unpleasant mix for human beings.
A World Health Organization Committee report from 1984 suggested that up to 30 percent of new and remodelled buildings worldwide may be the subject of excessive complaints related to Indoor Air Quality (IAQ).
The number of people in the U.S. and Sweden who have either allergy or asthma symptoms is one in five.
A large number of buildings today receive inadequate amounts of fresh air, as a result of energy conservation measures. Assuming that the ventilation system of an office or a school is used at half capacity and only during office or school hours in order to preserve energy, the total air exchange is down to 12% of the available capacity, given by Image available on "Original document" For comfort and health being it is necessary to measure and monitor indoor air quality.
SUMMARY Therefore it is an object of embodiments herein to provide a Smart Comfort Sensor Module (SCSM) for measuring and monitoring indoor air quality.
According to a first aspect of embodiments herein, the object is achieved by a sensor module for measuring and monitoring indoor climate parameters. The sensor module comprises one or more sensors configured to measure the indoor climate parameters and generate measurement data. The sensor module further comprises a processing unit and an Input/Output (I/O) interface connected between the sensors and the processing unit. The I/O interface is configured to collect the measurement data from the sensors and transfer the collected measurement data to the processing unit. The processing unit comprises processor, memory configured to store the collected measurement data and program code and network interfaces comprising at least one of a wired communication interface or a wireless communication interface.
According to a second aspect of embodiments herein, the object is achieved by a sensor network comprising one or more sensor modules described above. The sensor network further comprises a sensor data server configured to receive and store the collected measurement data; one or more display and control units configured to receive control commands and display the collected measurement data in a desired format; and one or more internet gateways. Further, the sensor modules, the sensor data server and the display and control units are connected to each other through internet via the internet gateways.
According to embodiments herein, the sensor modules comprises one or more sensors such as a thermometer, a relative humidity meter, a carbon dioxide meter, a dust particles meter, a smoke sensor, a gas sensor, a light sensor, a presence detector etc. By monitoring a combination of a few parameters, e.g. temperature, humidity and carbon dioxide concentration, inadequate or malfunctioning ventilation may be detected by the sensor modules. The measurement data from the sensor modules may be uploaded to the data server to establish a data base and to other units such as a tablet, a phablet, a mobile phone, a smart watch, a laptop and/or a personal computer etc. for further processing and display of data.
Therefore the sensor module and sensor network in which it is implemented have several advantages, such as capability of sensing various parameters, uploading measurement data and establishing data base, internet connecting, data processing etc.
Thus, embodiments herein provide a smart comfort sensor module which is easy to use and implement for various users and applications.
BRIEF DESCRIPTION OF THE DRAWINGS Examples of embodiments herein are described in more detail with reference to attached drawings in which: Figure 1 is a schematic block diagram illustrating an example of a smart sensor network according to embodiments herein.
Figure 2 is a schematic block diagram illustrating an example of a smart sensor module according to embodiments herein.
Figure 3 is a schematic diagram illustrating one embodiment of a generic product where a smart sensor module may be integrated.
Figure 4 is a schematic diagram illustrating a smart sensor module embedded in a battery powered comfort sensor product according to one embodiment, Figure 5 is a schematic diagram illustrating a lamp as one example product in which a smart sensor module according to embodiments herein may be integrated, Figure 6 is a schematic diagram illustrating a lamp as one example product to which a smart sensor module according to embodiments herein may be externally attached.
Figure 7 is a schematic diagram illustrating a smart sensor module embedded in a wall outlet adapter according to one embodiment.
Figure 8 is a schematic diagram illustrating a smart sensor module embedded in a ceiling outlet adapter according to one embodiment, Figure 9 is a schematic block diagram illustrating an air ventilation system in which a smart sensor module according to embodiments herein may be applied.
DETAILED DESCRIPTION Figure 1 depicts an example of a smart sensor network 100 in which sensor modules according to embodiments herein may be implemented.
As shown in figure 1, the smart sensor network 100 comprises one or more sensor modules 110, 111, 112, one or more internet gateways 120, 121, 122, a sensor data server 130 and one or more display and control units 140. The sensor modules 110, 111, 112, the sensor data server 130 and the display and control units 140 are connected to each other through internet 150 via the internet gateways 120, 121, 122.
Figure 2 depicts an example of the sensor module 110, 111, 112, denoted as sensor module 200, for measuring and monitoring indoor climate parameters. The sensor module 200 comprises one or more sensors 210, 211, 212 configured to measure the indoor climate parameters and generate measurement data. The sensor module 200 further comprises an Input/Output, I/O interface 220 and a processing unit 230. The I/O interface 220 is connected between the sensors 210, 211, 212 and the processing unit 230. The I/O interface is configured to collect the measurement data from the sensors 210, 211, 212 and transfer the collected measurement data to the processing unit 230.
According to some embodiments herein, the processing unit 230 may comprise a processor 234 and memory 231. The memory 231may be configured to store the collected measurement data and program codes and the processor 234 may be configured to do desired processing on the measurement data and running program codes . The processing unit 230 may further comprise network interfaces which comprising at least one of a wired communication interface 232 or a wireless communication interface 233.
According to some embodiments herein, the wired communication interface 232 may be, e.g. wired Ethernet and/or fibre. The wireless communication interface 233 may comprise communication modules configured with, e.g. Wi-Fi, Bluetooth, RF-ID, GSM, 3G, LTE standard etc.
According to some embodiments herein, the I/O interface 220 may comprise at least one of analogue to digital converter, inter-integrated circuit (I<2>C), universal asynchronous receiver and transmitter, serial peripheral interface or 1-wire serial.
According to embodiments herein, the one or more sensors may be, e.g. a thermometer, a relative humidity meter, a carbon dioxide meter, a dust particles meter, a smoke sensor, a gas sensor, a light sensor, a presence detector etc.
According to some embodiments, the sensor module 110 may comprise one or more actuators 240 and the processing unit 230 is configured to receive or generate control commands and send the control commands to the actuators. An actuator can be an arbitrary control signal interface to e.g. a relay or a servo.
The functions of each unit in the sensor module (110, 200) and in the sensor network 100 and relations between them will be described in the following.
The sensors 210, 211, 212 in the sensor modules 110, 111, 112 are configured to measure the indoor climate parameters and generate measurement data. The I/O interface in the sensor modules 110, 111, 112 is configured to collect the measurement data from the sensors 210, 211, 212 and transfer the collected measurement data to the processing unit 230. The processing unit 230 comprise network interfaces, e.g. wired Ethernet, fibre, Wi-Fi, Bluetooth, RF-ID, GSM, 3G, LTE standard, which connect the sensor modules 110, 111, 112 to internet 150 via internet gateway 120. The sensor data server 130 is connected to the internet 150 via gateway 121. The display and control units 140 are also connected to the internet 150 via gateway 122. In this way, all units in the sensor network 100 are connected to each other via internet. The processing unit 230 can then upload the collected measurement data to the sensor data server 130 through the internet 150. The sensor data server 130 is configured to receive and store the collected measurement data.
The display and control units 140 are configured to receive control commands and display the collected measurement data in a desired format. For example, in graphical format, in statistical format, in table format etc. Both present and recorded data can be viewed on the display and control units 140.
According to some embodiments, the display and control units 140 may be a smart device, such as a tablet or phablet 141, a mobile phone 142 with e.g. Android, iOS, Windows or Linux, a smart watch 143 with e.g. Android Wear, a laptop 144 or a personal computer 145, as shown in Figure 1. The measurement data may be presented with a graphical user interface (GUI) by an app, a widget or a browser on the smart device 140. The smart device can present the latest readings, i.e. the current measurement data, plot historical sensor data as a function of time, or plot comparison charts or tables with others measurement data.
According to some embodiments, the sensor modules 110,111, 112, the sensor data server 130, and the smart devices, i.e. the display and control units 140 may be located at geographically different locations.
According to some embodiments, the sensor module 110 is controlled through program code embedded in the processing unit 230, e.g. an embedded web server. Then control commands are received and sent to the processing unit 230 via the embedded web server.
As the sensor module 110, the sensor data server 130 and the display and control units are connected to each other and to the internet, the measurement data recorded on the data server 130 may allow one to compare one's readings or measurements with friends and others. A data base and data exchange network may be established.
According to some embodiments, for each sensor, measurement data is uploaded to the sensor data server 130 at a fixed or predetermined time interval, e.g. 5 minutes. The measurement data may also comprise e.g. time stamp, quantity, unity, value and identity.
The sensor module 110 may comprise a small fan to ensure sufficient air exchange within its enclosure for correct sensor data measuring.
The sensor module 110 may also comprise sensors for smoke, gas, light, presence detection, e.g. passive infra-red (PIR), etc. Therefore various applications may be developed by using measurement data from these sensors.
The sensor module 110 may be implemented in various products or apparatus. Figure 3 depicts a generic product 300 where the sensor module 110 may be integrated.
The apparatus 300 may be any product, such as a smart comfort sensor product where a sensor module 110, 200 comprising comfort sensors, e.g. a thermometer, a relative humidity meter, a carbon dioxide meter, a dust particles meter, may be integrated. The apparatus 300 may comprise one or more sensor modules 110, 200 according to embodiments herein.
The apparatus 300 may be, e.g. a loudspeaker, flower pot, smoke detector, web camera, router, digital calendar, digital photo frame, docking station for smart phones, tablets or notebooks.
The apparatus 300 may be used to identify the risk for SBS and TBS, and indoor climate conditions that could potentially lead to symptoms linked to poor IAQ, e.g. excessive RH and elevated CO2levels.
The apparatus 300 may be conveniently used to measure and monitor indoor air quality in order to improve comfort and health being.
The apparatus 300 may be a battery powered standalone product, as shown in Figure 4, thus making it portable.
According to some embodiments, a lamp may comprise a sensor module 110. The sensor module 110 may be integrated inside the lamp, or is externally attached to the lamp. Figure 5 depicts a lamp where the sensor module 110 may be integrated inside the lamp. Figure 6 depicts a lamp where the sensor module 110 may be externally attached.
According to some embodiments, a sensor module adapter may be implemented which comprises one or more sensor modules 110, as shown in Figures 7 and 8.
Figure 7 depicts a smart comfort sensor adapter, where the smart comfort sensor adapter connects between a wall outlet and the power plug of any product that is to be made smart.
Figure 8 depicts a smart comfort sensor adapter, where the smart comfort sensor adapter is a standalone product which may be connected to a wall or celling outlet alone.
As an example, application of the sensor module 110, 200 for comfort and health being is described below.
Typical parameters that indicate good indoor climate are for example temperature, relative humidity, carbon dioxide, and dust particles. Relative humidity (RH) changes with temperature and should therefore always be measured in combination with temperature. Absolute humidity (AH) can be calculated from RH and temperature. Diffusion moves water vapour from high absolute humidity to lower absolute humidity. In cold climate zones AH is higher inside the buildings than outside.
Carbon dioxide (CO2) outdoor levels are typically less than 400 ppm. Carbon dioxide indoor levels should not exceed 1000 ppm on a regular basis. Relative humidity indoors during winter should be 20% < RH < 45%. Absolute humidity (AH) indoors during winter should not exceed AH outdoors by more than 3 g/m<3>on a regular basis. Temperature indoors during winter should be 20-24°C and during summer 20-26°C.
Indoor climate parameters, such as carbon dioxide concentration (CO2), temperature and relative humidity (RH) are measured in the sensor module 110 and recorded on the sensor data server 130.
Measurements of outdoor climate parameters may be fetched over internet, for example from nearby weather stations, to study the influence on indoor climate.
By comparing indoor and outdoor sensor data on climate parameters e.g. AH or CO2, it may be, for example determined that the indoor climate of a building needs to be improved by opening windows to exchange air or starting or increasing ventilation. The needs of improved air quality may be displayed on the smart device as described above, e.g. by an indicator or symbol.
According to some embodiments, calculating absolute humidity (AH) from RH and temperature may be performed in e.g. the processing unit 230 or in the I/O interface 220. Then the amount of fresh air exchange may be estimated by comparing indoor AH to outdoor AH.
Humans exhale approximately 20 l/h of CO2. The required air exchange per person for an equilibrium of n ppm is then obtained as Y from: (n - 400) x 10-<6>x Y x 60 x 60 = 20 l/h .
Carbon dioxide level as a function of air exchange per person is shown in Table 1.
Image available on "Original document" When the amount of fresh air exchange is estimated, a control command may be send to an actuator 240 which controls the ventilation system in a building.
The control command may be generated in the smart device by interaction of the users or be generated automatically in the processing unit 230.
The sensor module 200 may be used in combination with a power sensor in an air ventilation system to monitor indoor climate, control and fault diagnosis of air ventilation. Figure 9 shows such an air ventilation system 900. The air ventilation system 900 comprises a sensor module 200, a power sensor 910, and an actuator 920. The actuator 920 may comprise a control signal interface 921, to control e.g. a servo 922 which moves ventilation valves or a relay 923 which turns a fan 930 on or off. The processing unit 230 in the sensor module 200 may be configured to generate control commands based on indoor climate parameters measured by the sensor module 200. The control commands may comprise starting, stopping or speed controlling of a ventilation fan. The control signal interface 921 may be configured to receive the control commands from the processing unit 230 and generate control signals to the relay 923 for starting or stopping the fan 930. Further, the control signal interface 921 may be configured to receive the control commands from the processing unit 230 and generate control signals to the servo 922 for adjusting ventilation valves or controlling a speed of the fan 930. The power sensor 910 may be configured to measure voltage, current or power of a motor driving the fan 930.
The apparatus 900 may be used to reduce the risk for SBS and TBS, and prevent indoor climate conditions, e.g. excessive RH or elevated CO2levels, that could potentially lead to symptoms linked to poor IAQ.
According to embodiments herein, indoor climate measurement data from the sensor module 200 may be combined with measurement data from the power sensor 910 to do fault diagnosis, such as detecting inadequate or malfunctioning air ventilation caused e.g. by an incorrectly set fan speed or a faulty fan motor. These faults can be identified as an anomaly in power consumption for the fan motor. For example, too low power consumption, too low voltage or current may indicate that the fan motor is broken or that the fan is running too slow. Too high power consumption may indicate that the ventilation fan is running too fast or that the fan wheel requires to be cleaned from dust.
The sensor module 200 may be configured to measure the indoor climate parameters periodically, and controlling of indoor climate may be performed automatically in the air ventilation system 900.
The air ventilation system 900 may be used to reduce the risk for SBS and TBS, and prevent indoor climate conditions, e.g. excessive RH or elevated CO2levels, that could potentially lead to symptoms linked to poor IAQ.
When using the word "comprise" or “comprising” it shall be interpreted as nonlimiting, i.e. meaning "consist at least of".
The embodiments herein are not limited to the above described preferred embodiments. Various alternatives, modifications and equivalents may be used.
Therefore, the above embodiments should not be taken as limiting the scope of the invention, which is defined by the appending claims.

Claims (9)

1. An air ventilation system (900), for monitoring of indoor climate, control and fault diagnosis of air ventilation, comprising a sensor module (200), wherein the sensor module (200) comprises: one or more sensors (210, 211, 212) configured to measure the indoor climate parameters and generate measurement data; a processing unit (230); an Input/Output, I/O, interface (220) connected between the sensors and the processing unit, wherein the I/O interface is configured to collect the measurement data from the sensors and transfer the collected measurement data to the processing unit; and wherein the processing unit (230) comprises: processor (234); memory (231) configured to store the collected measurement data and program code; and network interfaces (232,233) comprising at least one of a wired communication interface or a wireless communication interface; wherein the air ventilation system (900) further comprises: a power sensor (910) configured to measure voltage, current or power of a motor driving a fan (930), and wherein indoor climate measurement data from the sensor module (200) is combined with measurement data from the power sensor (910) to detect inadequate air ventilation, malfunction or a faulty of the motor.
2. The air ventilation system (900) according to claim 1 comprising an actuator (920) and the fan (930), wherein the actuator (920) comprises a control signal interface (921), and a servo (922) or a relay (923), and wherein the control signal interface (921) is configured to receive commands from the processing unit (230) and generate control signals to the relay (922) to start or stop the fan, or generate control signals to the servo (922) for adjusting ventilation valves and/or control the speed of the fan.
3. The air ventilation system (900) according to any one of claims 1-2, wherein the wired communication interface comprises wired Ethernet and/or fibre.
4. The air ventilation system (900) according to any one of claims 1-2, wherein the wireless communication interface comprises communication modules configured with Wi-Fi, Bluetooth, RF-ID, GSM, 3G, LTE standard.
5. The air ventilation system (900) according to any one of claims 1-4, wherein the sensors (210, 211, 212) comprise one of or any combination of a thermometer, a relative humidity meter, a carbon dioxide meter, a dust particles meter, a smoke sensor, a gas sensor, a light sensor and a presence detector.
6. The air ventilation system (900) according to any one of claims 1-5, wherein the I/O interface (220) comprises at least one of analogue to digital converter, interintegrated circuit (I<2>C), universal asynchronous receiver and transmitter, serial peripheral interface or 1-wire serial.
7. The air ventilation system (900) according to any one of claims 1-6, wherein the sensor module (200) and the power sensor (910) are connected via the network interface (232,233) to a sensor data server (130) configured to receive and store the collected measurement data, wherein the sensor data server (130) is comprised in a sensor network, and wherein the sensor network comprises: one or more display and control units (140) configured to receive control commands and display the collected measurement data in a desired format; one or more internet gateways (120, 121, 122); and wherein the sensor modules, the sensor data server and the display and control units are connected to each other through internet (150) via the internet gateways.
8. The air ventilation system (900) according to claim 7, wherein the collected measurement data further comprises time stamp, quantity, unity, value, identity and is uploaded to the sensor data server (130) at a predetermined time interval.
9. The air ventilation system (900) according to any one of claims 7-8, wherein the display and control units (140) comprises at least one of a tablet, a phablet, a mobile phone, a smart watch, a laptop and/or a personal computer.
SE1530039A 2015-03-30 2015-03-30 Indoor air ventilation system with smart sensor network SE540306C2 (en)

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GB2574045B (en) * 2018-05-24 2022-03-09 Vortex Iot Ltd A system for detecting air pollution
CN109751735A (en) * 2019-02-28 2019-05-14 上海优墅智能科技有限责任公司 Xingfeng capsule system
US11300493B2 (en) 2019-12-31 2022-04-12 Industrial Intelligence, Inc. Continuous dust accumulation monitoring system
CN111322727A (en) * 2020-03-16 2020-06-23 无锡科希家室内环境科技有限公司 Control method and control device of radiation air-conditioning system
CN111947287B (en) * 2020-08-10 2021-12-07 海信（山东）空调有限公司 Air conditioner and carbon dioxide concentration detection method

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