WO2018105871A1 - Dispositif de gestion d'informations météorologiques utilisant un capteur de poussière fine, procédé associé et support d'enregistrement sur lequel est enregistré un programme informatique - Google Patents

Dispositif de gestion d'informations météorologiques utilisant un capteur de poussière fine, procédé associé et support d'enregistrement sur lequel est enregistré un programme informatique Download PDF

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Publication number
WO2018105871A1
WO2018105871A1 PCT/KR2017/011289 KR2017011289W WO2018105871A1 WO 2018105871 A1 WO2018105871 A1 WO 2018105871A1 KR 2017011289 W KR2017011289 W KR 2017011289W WO 2018105871 A1 WO2018105871 A1 WO 2018105871A1
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WIPO (PCT)
Prior art keywords
fine dust
value
weather information
correction
fog
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PCT/KR2017/011289
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English (en)
Korean (ko)
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명광민
Original Assignee
에스케이테크엑스 주식회사
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Publication of WO2018105871A1 publication Critical patent/WO2018105871A1/fr

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/02Investigating particle size or size distribution
    • G01N15/0205Investigating particle size or size distribution by optical means
    • G01N15/0211Investigating a scatter or diffraction pattern
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/02Investigating particle size or size distribution
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/94Investigating contamination, e.g. dust
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/02Comparing digital values
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services

Definitions

  • the present invention relates to a meteorological information management apparatus using a fine dust sensor, a method, and a recording medium on which a computer program is recorded.
  • the fine dust sensor provided from a server measures a concentration of fine dust through a fine dust sensor. Receives weather information of the area where it is located, calculates fine dust correction deviation, which is a difference between a preset reference value and observation of fine dust, and corrects it through correlation analysis and / or regression analysis between the calculated fine dust correction deviation and weather information.
  • Fine dust correction value is calculated based on the measured fine dust observation value, weather information, calculated correction coefficient, etc., and fine dust observed by fog based on the calculated fine dust correction value Weather information using fine dust sensor to check the fog occurrence status of the management area related to the correction value Lee apparatus, to a method and a computer program recorded recording medium.
  • An object of the present invention is to measure the concentration of fine dust through the fine dust sensor, to receive weather information of the area where the corresponding fine dust sensor is provided from the server, fine dust which is the difference between the preset reference value and the observation of fine dust Compensation deviation is calculated, and the correction coefficient is calculated through correlation analysis and / or regression analysis between the calculated fine dust correction deviation and weather information, and based on the measured value of the measured fine dust, weather information, and calculated correction coefficient.
  • the fine dust sensor calculates the correction value of fine dust and checks the occurrence of fog in the management area related to the correction value of the fine dust when the fine dust value observed by the fog is generated based on the calculated fine dust correction value.
  • the present invention provides a recording medium on which a weather information management apparatus, a method, and a computer program are used.
  • Another object of the present invention is a weather information management apparatus using a fine dust sensor, a method and a computer that determine whether an error of a fine dust sensor measurement value by using the surrounding weather information in a service using a plurality of low-cost fine dust sensor installed
  • the present invention provides a recording medium on which a program is recorded.
  • Another object of the present invention is to determine the data error through the error pattern for the occurrence of the fog affecting the fine dust sensor, fine dust sensor for detecting the occurrence of the fog through a low-cost fine dust sensor using the data error determination result
  • An apparatus for managing weather information using the same, a method and a computer program are provided.
  • a method of managing weather information using a fine dust sensor includes measuring, by a fine dust sensor, an observation value of fine dust, which is a concentration of fine dust in a management area; Receiving, by a communication unit, weather information for the management area transmitted from a server; Calculating, by the control unit, a fine dust correction deviation that is a difference value between a reference value preset for the management area and the measured fine dust observation value; Calculating, by the controller, a correction coefficient by correlation analysis between the calculated fine dust correction deviation and the weather information; And calculating, by the controller, a correction value of the fine dust based on the measured observation value of the fine dust, the weather information, and the calculated correction coefficient.
  • the calculating of the fine dust correction value as an example related to the present invention may include: multiplying a measured value of the observed fine dust observation value and a correction coefficient for the fine dust observation value included in the correction coefficient, and the weather Compute the fine dust correction value by multiplying a multiplied value by a component included in the information and a correction coefficient for the component included in the correction coefficient and a constant value for the component included in the correction coefficient.
  • the component may include at least one of air temperature, air pressure, wind speed, relative humidity, sunshine, precipitation, rainfall probability, UV index, visibility, and atmospheric stability included in the weather information.
  • the method may further include determining, by the controller, whether fog is generated based on the calculated fine dust correction value.
  • the determining of the occurrence of the fog may include: when the correction value of the fine dust is increased by a preset fog generation threshold value or more than a previous value, the correction value of the fine dust is generated according to the fog generation. By confirming the observation value, it may be determined that the fog has occurred in the management area where the fine dust sensor is measured by measuring the correction value of the fine dust.
  • the step of determining whether the fog occurs when the occurrence of the number of occurrences of the fine dust correction value occurring within a preset period increases more than the threshold value of the fog occurs more than a predetermined number of times, Judging by the occurrence of fog; And when the number of occurrences in which the correction value of the fine dust generated within the preset period increases by more than the predetermined number of fog generation thresholds is less than the predetermined number of times, determining that the fog is generated.
  • the determining of the occurrence of the fog may include: in a state in which the relative humidity is equal to or greater than a preset relative humidity reference value based on the calculated fine dust correction value and the relative humidity included in the weather information.
  • the fine dust correction value is confirmed as an observation value according to the fog generation, and the fine dust measuring the correction value of the fine dust It can be determined that the fog occurs in the management area where the sensor is located.
  • the determining of the occurrence of the fog may include: in the state in which the relative humidity is less than a predetermined relative humidity reference value based on the calculated fine dust correction value and the relative humidity included in the weather information.
  • the correction value of the fine dust is increased more than a preset fog generation threshold value from the previous value, the correction value of the fine dust is confirmed as an observation value according to an error of the fine dust sensor, and corresponds to the correction value of the fine dust. It may be determined that there is an error in the fine dust sensor which measured the observed value of fine dust.
  • the determining of the occurrence of the fog may be performed based on the calculated fine dust correction value, the relative humidity included in the weather information, the atmospheric stability and the visible distance prediction value analyzed in the numerical model.
  • the relative humidity is above a predetermined relative humidity reference value
  • the atmospheric stability analyzed in the preset numerical model is stable
  • the visible distance prediction value analyzed in the numerical model is less than or equal to the preset visible distance reference value
  • the fine dust correction value is a previous value.
  • the fog is increased more than a preset fog generation threshold value, the correction value of the fine dust is confirmed as an observation value according to the generation of the fog, and the fog is located in the management area where the fine dust sensor in which the fine dust correction value is measured is located. It can be judged that it has occurred.
  • a computer program for performing the method according to the above-described embodiments may be stored in a recording medium on which a computer program according to an embodiment of the present invention is recorded.
  • Weather information management apparatus using a fine dust sensor includes a fine dust sensor for measuring the observation value of the fine dust concentration of the fine dust for the management area; Communication unit for receiving weather information for the management area transmitted from the server; And calculating a fine dust correction deviation, which is a difference between the reference value preset for the management area and the measured fine dust observation value, and correcting the correction coefficient by correlation analysis between the calculated fine dust correction deviation and the weather information.
  • the control unit may include a controller configured to calculate a correction value of the fine dust based on the measured value of the measured fine dust, the weather information, and the calculated correction coefficient.
  • the controller may determine whether fog occurs based on the calculated fine dust correction value.
  • control unit may include a management area in which the fine dust sensor is configured to measure the fine dust correction value when the fine dust correction value is increased by more than a preset fog generation threshold value from a previous value. It can be judged that the fog has occurred.
  • control unit may further include correcting the fine dust in a state in which the relative humidity is equal to or greater than a predetermined relative humidity reference value based on the calculated fine dust correction value and the relative humidity included in the weather information.
  • a predetermined relative humidity reference value based on the calculated fine dust correction value and the relative humidity included in the weather information.
  • the controller may include a relative relative humidity set in advance based on the calculated fine dust correction value, relative humidity included in the weather information, atmospheric stability analyzed by a numerical model, and a visible distance prediction value.
  • the fog generation threshold is higher than the humidity reference value and the atmospheric stability analyzed in the preset numerical model is stable and the visible distance prediction value analyzed in the numerical model is equal to or less than the preset visible distance reference value.
  • the value is increased by more than the value, it may be determined that the fog has occurred in the management area where the fine dust sensor is measured by measuring the correction value of the fine dust.
  • the present invention measures the concentration of fine dust through the fine dust sensor, receives weather information of the area where the corresponding fine dust sensor is provided from the server, fine dust correction deviation that is the difference between the preset reference value and the observation of the fine dust To calculate the correction coefficient through the correlation analysis and / or regression analysis between the calculated fine dust correction deviation and weather information, and based on the observed value of the measured fine dust, weather information, and calculated correction coefficient
  • the fine dust sensor is measured by calculating the correction value of the dust, and checking the occurrence of the fog in the management area related to the correction value of the fine dust when the fine dust value observed by the fog is generated based on the calculated fine dust correction value.
  • the present invention utilizes the surrounding weather information in the service using a number of low-cost fine dust sensor installed to determine whether the fine dust sensor measurement error, there is an effect that can be collected economically and precise weather information.
  • the present invention by determining the data error through the error pattern for the generation of fog affecting the fine dust sensor, there is an effect that can detect the occurrence of fog through a low-cost fine dust sensor by utilizing the data error determination results. .
  • FIG. 1 is a block diagram showing the configuration of a weather information management apparatus using a fine dust sensor according to an embodiment of the present invention.
  • Figure 2 is a block diagram showing the configuration of a fine dust sensor according to an embodiment of the present invention.
  • FIG. 3 is a flowchart illustrating a weather information management method using a fine dust sensor according to an exemplary embodiment of the present invention.
  • FIG. 4 is a diagram illustrating a correlation analysis chart between fine dust correction deviation and temperature according to an exemplary embodiment of the present invention.
  • FIG. 5 is a diagram illustrating a correlation analysis chart between fine dust correction deviation and relative humidity according to an embodiment of the present invention.
  • FIG. 6 is a diagram illustrating a result of multiple regression analysis when only relative humidity is used as a meteorological element in addition to an observation value of fine dust according to an exemplary embodiment of the present invention.
  • FIG. 7 is a diagram illustrating a result of multiple regression analysis in the case of using relative humidity and temperature as meteorological elements in addition to observation values of fine dust according to an exemplary embodiment of the present invention.
  • FIG. 8 is a diagram illustrating a time series chart of reference values, observation values, and correction values of fine dust according to an exemplary embodiment of the present invention.
  • first and second used in the present invention may be used to describe components, but the components should not be limited by the terms. The terms are used only to distinguish one component from another.
  • first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component.
  • FIG. 1 is a block diagram showing the configuration of a weather information management device 10 using a fine dust sensor according to an embodiment of the present invention.
  • the weather information management apparatus 10 using the fine dust sensor includes a fine dust sensor 100, a communication unit 200, a storage unit 300, a display unit 400, and a voice output unit 500. And a control unit 600. Not all components of the weather information management apparatus 10 illustrated in FIG. 1 are essential components, and the weather information management apparatus 10 may be implemented by more components than the components illustrated in FIG. 1. The weather information management device 10 may also be implemented by fewer components.
  • the concentration of fine dust in the area where each fine dust sensor 100 is located is respectively measured.
  • the communication unit 200 receives weather information of an area (or a management area) in which the plurality of fine dust sensors 100 transmitted from a server (not shown) are installed.
  • the controller 600 calculates a fine dust correction deviation, which is a difference between the preset reference value and the observed value of the fine dust.
  • the controller 600 calculates a correction coefficient through correlation analysis and / or regression analysis between the calculated fine dust correction deviation and weather information.
  • the control unit 600 calculates the fine dust correction value based on the measured value of the fine dust, weather information, the calculated correction factor, and the like.
  • the controller 600 controls the control area (or the management area in which the concentration of the fine dust is measured) related to the correction value of the fine dust when the fine dust value observed by the fog is generated based on the calculated fine dust correction value.
  • the weather information management apparatus 10 may be a smart phone, a portable terminal, a mobile terminal, a personal digital assistant (PDA), a portable multimedia player (PMP) terminal, or a telematics ( Telematics terminals, navigation terminals, personal computers, notebook computers, slate PCs, tablet PCs, ultrabooks, wearable devices, e.g. Watch type terminal (Smartwatch), glass type terminal (Smart Glass), HMD (Head Mounted Display), etc.), Wibro terminal, IPTV (Internet Protocol Television) terminal, Smart TV, Digital broadcasting terminal, Television It can be applied to various terminals such as 3D television, home theater system, audio video navigation (AVN) terminal, audio / video (A / V) system, flexible terminal, and the like.
  • PDA personal digital assistant
  • PMP portable multimedia player
  • Telematics terminals Telematics terminals, navigation terminals, personal computers, notebook computers, slate PCs, tablet PCs, ultrabooks, wearable devices, e.g. Watch type terminal (Smartwatch), glass type terminal (Smart Glass),
  • the fine dust sensor 100 is interspersed with a plurality of fine dust sensors 100 in an arbitrary management area.
  • the plurality of fine dust sensors 100 form a wireless sensor network (or ubiquitous sensor network (USN)) using a wireless personal area network (WPAN).
  • a wireless sensor network or ubiquitous sensor network (USN)
  • WPAN wireless personal area network
  • the plurality of fine dust sensors 100 includes a unique ID (or unique identification information) for each fine dust sensor.
  • the fine dust sensor 100 measures (or collects) the concentration of fine dust (or observation value / measurement value of fine dust) in the installed area.
  • the fine dust sensor 100 includes a light emitting unit 110, an air tunnel 120, a light receiving unit 130, an amplifier 140, and an MCU 150. Not all components of the fine dust sensor 100 shown in FIG. 2 are essential components, and the fine dust sensor 100 may be implemented by more components than those shown in FIG. Fine dust sensor 100 may also be implemented by a component.
  • the light emitter 110 emits a laser light at a predetermined cycle.
  • the air tunnel 120 is configured as a tunnel through which external air flows at a constant speed, and the laser emitted from the light emitting unit 110 is scattered while passing through the air tunnel 120.
  • the light receiver 130 receives (or measures) the scattered laser.
  • the amplifier 140 amplifies the received laser (or a digital signal corresponding to the received laser) by a predetermined value.
  • the microcontroller unit (MCU) 150 confirms (or calculates) the concentration of each particle suspended in air through laser diffraction analysis of the amplified digital signal.
  • the MCU 150 may determine the concentration (or observed value / measured value) of the fine dust, the fine dust sensor information (for example, the unique ID / unique identification information of the fine dust sensor 100), and the like. It provides to the control unit 600. At this time, the MCU 150 provides the fine dust sensor information, the measured concentration of the fine dust, etc. to the controller 600 at a predetermined cycle, or the fine dust sensor when receiving the concentration transmission request of the fine dust from the corresponding controller 600. Information, the measured concentration of fine dust, etc. are provided to the controller 600.
  • the fine dust sensor 100 may further include a weather sensor (not shown) for collecting weather information of an area (or a management area) in which the fine dust sensor 100 is located.
  • a weather sensor not shown for collecting weather information of an area (or a management area) in which the fine dust sensor 100 is located.
  • the weather sensor collects (or measures) weather information of an area (or a management area) where the fine dust sensor 100 is located.
  • the weather information includes temperature, air pressure, wind speed, relative humidity, sunshine, precipitation, rainfall probability, UV index, visibility, atmospheric stability, region (or management region) unique identification information, and location information of the management region. And the like.
  • the weather sensor provides the controller 600 with collected (or measured) weather information, location information of the weather sensor (or unique identification information of the fine dust sensor 100), and the like.
  • the communication unit 200 communicates with any component inside or any at least one terminal outside through a wired / wireless communication network.
  • any external terminal may include a server (not shown).
  • the wireless Internet technologies include Wireless LAN (WLAN), Wireless Personal Area Network (WPAN), Digital Living Network Alliance (DLNA), Wireless Broadband (Wibro), and WiMAX (World Interoperability for Microwave Access: Wimax, HSDPA (High Speed Downlink Packet Access), HSUPA (High Speed Uplink Packet Access), IEEE 802.16, Long Term Evolution (LTE), Long Term Evolution-Advanced (LTE-A), Broadband
  • WMBS wireless mobile broadband service
  • the communication unit 200 transmits and receives data according to at least one wireless Internet technology in a range including Internet technologies not listed above.
  • near field communication technologies include Bluetooth, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, and Near Field Communication (NFC).
  • RFID Radio Frequency Identification
  • IrDA Infrared Data Association
  • UWB Ultra Wideband
  • ZigBee ZigBee
  • NFC Near Field Communication
  • USB Ultrasound Communication
  • VLC Visible Light Communication
  • Wi-Fi Direct Wi-Fi Direct
  • the wired communication technology may include power line communication (PLC), USB communication, Ethernet, serial communication, serial communication, optical / coaxial cable, and the like.
  • the communication unit 200 may mutually transmit information with an arbitrary terminal through a universal serial bus (USB).
  • USB universal serial bus
  • the communication unit 200 may include technical standards or communication methods (for example, Global System for Mobile communication (GSM), Code Division Multi Access (CDMA), Code Division Multi Access 2000 (CDMA2000), and EV-) for mobile communication.
  • GSM Global System for Mobile communication
  • CDMA Code Division Multi Access
  • CDMA2000 Code Division Multi Access 2000
  • EV- Enhanced Voice-Data Optimized or Enhanced Voice-Data Only (DO), Wideband CDMA (WCDMA), High Speed Downlink Packet Access (HSDPA), High Speed Uplink Packet Access (HSUPA), Long Term Evolution (LTE), LTE-A ( Long Term Evolution-Advanced, etc.) transmits and receives a radio signal to a base station, a server and the like on a mobile communication network.
  • GSM Global System for Mobile communication
  • CDMA Code Division Multi Access
  • CDMA2000 Code Division Multi Access 2000
  • EV- Enhanced Voice-Data Optimized or Enhanced Voice-Data Only (DO)
  • WCDMA Wideband CDMA
  • HSDPA High
  • the communication unit 200 receives (or collects) weather information of an area (or management area) in which the plurality of fine dust sensors 100 installed in real time transmitted from a server (not shown) are installed.
  • the weather information may include unique identification information of the region (or management region), location information of the region, air temperature, air pressure, wind speed, relative humidity, sunshine, precipitation, rainfall probability, UV index, visibility, atmospheric stability, and the like. Includes observation information and weather forecast information.
  • the communication unit 200 controls, by the control unit 600, the concentration (or observation value / measured value) of the fine dust provided from (or transmitted to) the plurality of fine dust sensors 100, and the fine dust sensor information.
  • concentration or observation value / measured value
  • the fine dust sensor information For example, unique ID / unique identification information of the fine dust sensor 100), weather information, and the like.
  • the storage unit 300 stores various user interfaces (UIs), graphical user interfaces (GUIs), and the like.
  • UIs user interfaces
  • GUIs graphical user interfaces
  • the storage unit 300 stores data and programs required for the weather information management apparatus 10 to operate.
  • the storage unit 300 may store a plurality of application programs (application programs or applications) driven by the weather information management apparatus 10, data for operating the weather information management apparatus 10, and instructions. At least some of these applications may be downloaded from an external service providing apparatus through wireless communication. In addition, at least some of these applications exist on the weather information management device 10 from the time of shipment for the basic functions of the weather information management device 10 (for example, a call forwarding, an outgoing function, a message receiving, and a calling function). Can be.
  • the application program is stored in the storage unit 300, is installed in the weather information management device 10, it may be driven by the controller 600 to perform the operation (or function) of the weather information management device 10. have.
  • the storage unit 300 may include a flash memory type, a hard disk type, a multimedia card micro type, and a card type memory (eg, SD or XD memory). Etc.), magnetic memory, magnetic disk, optical disk, random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EPM), PROM It may include at least one storage medium of (Programmable Read-Only Memory).
  • the weather information management apparatus 10 may operate a web storage that performs a storage function of the storage 300 on the Internet, or may operate in connection with the web storage.
  • the storage unit 300 controls the concentration of fine dust for each fine dust sensor (or observation value / measured value) measured by the fine dust sensor 100 under the control of the controller 600, fine dust sensor information, and weather information. And so on.
  • the display unit 400 may display various contents such as various menu screens using a user interface and / or a graphic user interface stored in the storage unit 300 under the control of the controller 600.
  • the content displayed on the display unit 400 includes various text or image data (including various information data) and a menu screen including data such as icons, list menus, combo boxes, and the like.
  • the display unit 400 may be a touch screen.
  • the display unit 400 may include a liquid crystal display (LCD), a thin film transistor liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), and a flexible display (LCD).
  • the display device may include at least one of a flexible display, a 3D display, an e-ink display, and a light emitting diode (LED).
  • the display unit 400 may be configured as a stereoscopic display unit for displaying a stereoscopic image.
  • the stereoscopic display unit may be a three-dimensional display method such as a stereoscopic method (glasses method), an auto stereoscopic method (glasses-free method), a projection method (holographic method).
  • the display unit 400 is controlled by the control unit 600, the concentration (or observation value / measured value) of the fine dust for each fine dust sensor measured by the fine dust sensor 100, fine dust sensor information, weather information And so on.
  • the voice output unit 500 outputs voice information included in the signal processed by the controller 600 by a predetermined signal.
  • the voice output unit 500 may include a receiver, a speaker, a buzzer, and the like.
  • the voice output unit 500 outputs the guide voice generated by the controller 600.
  • the voice output unit 500 may be controlled by the control unit 600, the concentration (or observation value / measured value) of the fine dust for each fine dust sensor measured by the fine dust sensor 100, fine dust sensor information, Audio information corresponding to weather information or the like is output.
  • the controller 600 executes an overall control function of the weather information management apparatus 10.
  • the controller 600 executes an overall control function of the weather information management apparatus 10 by using the program and data stored in the storage 300.
  • the controller 600 may include a RAM, a ROM, a CPU, a GPU, a bus, and the RAM, a ROM, a CPU, a GPU, and the like may be connected to each other through a bus.
  • the CPU may access the storage unit 300 to perform booting using the O / S stored in the storage unit 300, and various operations using various programs, contents, data, etc. stored in the storage unit 300. Can be performed.
  • control unit 600 calculates a fine dust correction deviation between the reference value preset for the region (or management region) where the fine dust sensor 100 is located and the observed value of the fine dust measured by the corresponding fine dust sensor 100. do.
  • the reference value (or reference value of the fine dust) may be a value observed by an expensive fine dust sensor, or may be a value observed by removing moisture from the air.
  • the controller 600 calculates a fine dust correction deviation, which is a difference between the reference value preset for the area where the fine dust sensor 100 is located and the observed value of the fine dust measured by the fine dust sensor 100.
  • controller 600 analyzes a correlation between the calculated fine dust correction deviation and the weather information received by the communication unit 200.
  • the controller 600 analyzes (or correlation analysis / regression analysis) the correlation between the calculated fine dust correction deviation and the previously received weather information.
  • controller 600 calculates a correction coefficient through correlation analysis between the calculated fine dust correction deviation and the previously received weather information.
  • the controller 600 calculates a correction coefficient for each component included in the weather information through a correlation analysis between the calculated fine dust correction deviation and the previously received weather information.
  • the correction coefficients are correction coefficients for observations of fine dust, correction coefficients for air temperature, constant values for air temperature, correction coefficients for air pressure, constant values for air pressure, correction values for wind speed, and constant values for wind speed.
  • control unit 600 based on the observation value of the fine dust, weather information, correction coefficient for the observation of the fine dust, correction coefficient for the weather information, constant value (or constant value for weather information), etc.
  • the correction value of is calculated.
  • controller 600 calculates fine dust correction value (or fine dust concentration correction value) based on Equation 1 below.
  • y represents a correction value of the fine dust
  • a represents a correction coefficient for the fine dust observation value
  • b represents a correction coefficient for the component included in the weather information
  • c represents a component included in the weather information.
  • Constant for Represents an observation of fine dust Represents a value of a component included in weather information.
  • b represents a correction coefficient for temperature, air pressure, wind speed, relative humidity, sunshine, precipitation, rainfall probability, UV index, visibility, and atmospheric stability included in weather information.
  • controller 600 displays the calculated fine dust correction value, the measured fine dust observation value, the reference value, and the like on the display unit 400.
  • control unit 600 generates fog when the value of the concentration of fine dust observed by the fog is generated based on the calculated fine dust correction value (or the fine dust correction value is set in advance than the previous value (or the previous value)).
  • the threshold value is increased
  • the correction value of the fine dust is confirmed as an observation value according to the occurrence of fog, and the correction value of the fine dust (or the observation value of the fine dust corresponding to the correction value of the fine dust) is measured. It is determined that the fog occurs in the management area (or area) where the fine dust sensor 100 is located.
  • controller 600 may check (or determine) whether the observed value of the fine dust related to the correction value of the corresponding fine dust is related to the generation of the fog by using the magnitude and the frequency of occurrence of the w value.
  • control unit 600 on the basis of the calculated fine dust correction value is generated when the value of the concentration of fine dust observed by the fog (or when the value of the fine value of the correction value / fine dust correction value is the previous value)
  • the preset fog occurrence threshold increases
  • the number of occurrences of the shock value or the number of times the fine dust correction value increases by more than the previous fog threshold value
  • the number of occurrences of the w-value occurring within a preset period is less than a preset number, it may be determined as a light fog.
  • the controller 600 is configured to at least one component included in the weather information based on the calculated fine dust correction value and the weather information (or at least one component among the plurality of components included in the weather information).
  • the value of fine dust concentration is generated (or when the value of fine particle compensation value is increased / the fine dust correction value is increased by more than the preset fog occurrence threshold value compared with the previous value) when the value of fine dust concentration is higher than the preset reference value.
  • the location of the fine dust sensor 100 that checks the correction value of the dust as an observation value according to the occurrence of the fog and measures the correction value of the fine dust (or the observation value of the fine dust corresponding to the correction value of the fine dust). It is determined that a fog occurs in an area (or area).
  • the control unit 600 Based on the calculated fine dust correction value and relative humidity, the control unit 600 generates a fine value of the concentration of fine dust in a state where the relative humidity is equal to or greater than a preset relative humidity reference value (for example, 90%) ( Or when the fine value of fine dust correction value / fine dust correction value is increased more than the preset mist generation threshold value compared to the previous value), the fine dust correction value is confirmed as the observed value according to the fog occurrence. It is determined that the fog has occurred in the management area (or area) in which the fine dust sensor 100 in which the fine dust correction value (or the observed value of the fine dust corresponding to the fine dust correction value) is measured.
  • a preset relative humidity reference value for example, 90%
  • the controller 600 is configured to at least one component included in the weather information based on the calculated fine dust correction value and the weather information (or at least one component among the plurality of components included in the weather information).
  • the fine dust sensor which checks the correction value of the fine dust sensor 100 as an observation value according to an error of the fine dust sensor 100 and measures the correction value of the fine dust (or the observed value of the fine dust corresponding to the correction value of the fine dust) It is determined that there is an error (or an error) in 100).
  • the controller 600 Based on the calculated fine dust correction value and relative humidity, the controller 600 generates a fine value of the concentration of fine dust in a state in which the relative humidity is less than a predetermined relative humidity reference value (for example, 90%) ( Or when the value of the fine dust correction value is generated / the fine dust correction value is increased by more than a preset mist generation threshold value than the previous value), and the correction value of the fine dust is an observation value according to an error of the fine dust sensor 100. As a result, it is determined that there is an error (or error) in the fine dust sensor 100 which measures the correction value of the fine dust (or the observed value of the fine dust corresponding to the correction value of the fine dust).
  • a predetermined relative humidity reference value for example, 90%
  • control unit 600 is a relative humidity reference value (for example 90%) or more, based on the calculated fine dust correction value, relative humidity, the atmospheric stability and the visible distance predicted value analyzed in the numerical model.
  • the atmospheric stability analyzed by the preset numerical model is stable and the visible value predicted by the numerical model is less than or equal to the preset visible distance reference value (for example, 5 km), the value of fine dust concentration (or fine dust correction) is generated.
  • the correction value of the corresponding fine dust is confirmed as the observed value according to the fog occurrence, and the correction value of the corresponding fine dust ( Or in the state where fog occurs in the management area (or area) in which the fine dust sensor 100, which measures the fine dust corresponding to the correction value of the fine dust, is located.
  • control unit 600 is based on the calculated fine dust correction value, relative humidity, the atmospheric stability and the visible distance predicted value analyzed in the numerical model, the relative humidity is less than the predetermined relative humidity reference value or the atmospheric stability is unstable ( Or when the value of the concentration of fine dust occurs (or when the value of the fine value of fine dust is generated / fine dust) in a state other than a stable state, or when the visible distance prediction value exceeds a preset visibility standard value (for example, 5 km).
  • the correction value of the fine dust is confirmed as an observation value according to the error of the fine dust sensor 100, and the correction value (or corresponding) of the fine dust It is determined that there is an error (or an error) in the fine dust sensor 100 which measured the fine dust observation value corresponding to the fine dust correction value).
  • controller 600 may check (or grasp) the air quality of the management area in which the concentration of the fine dust is measured based on the correction value of the fine dust and / or the concentration of the fine dust.
  • the controller 600 is corrected through data analysis on the measured scattered laser.
  • the coefficient may be calculated, and based on the calculated correction coefficient, the fine dust concentration error due to weather factors may be improved, and weather information such as fog may be confirmed.
  • the fog observation equipment currently used is expensive, so it is not possible to closely observe a large local fog. Improve measurement accuracy and local weather performance.
  • the currently used fine dust measurement standards are used based on the fine dust measurement value in the dry air, it does not take into account the fine dust concentration of the wet air.
  • the present invention can provide both the fine dust concentration of the wet air and the fine dust concentration of dry air by correcting the observation value of the fine dust by using the low-cost fine dust sensor 100, so that the actual smog, fog
  • the concentration of fine dust observed when there is a back light can be corrected by the concentration of fine dust in dry air.
  • the weather information management apparatus 10 may further include an interface unit (not shown) that serves as an interface with all external devices connected to the weather information management apparatus 10.
  • the interface unit may include a wired / wireless headset port, an external charger port, a wired / wireless data port, a memory card port, a port for connecting a device equipped with an identification module, an audio I / O ( Input / Output) port, video I / O (Input / Output) port, earphone port, and the like.
  • the identification module is a chip that stores various types of information for authenticating the authority to use the weather information management apparatus 10, and includes a user identity module (UIM), a subscriber identity module (SIM), and general purpose.
  • the device equipped with the identification module may be manufactured in the form of a smart card. Therefore, the identification module may be connected to the weather information management apparatus 10 through the port.
  • the interface unit may receive data from an external device or receive power to transfer the data to each component in the weather information management device 10 or to transmit the data inside the weather information management device 10 to an external device.
  • the interface unit may be a passage for supplying power from the cradle to the weather information management device 10, or various command signals input from the cradle by a user. May be a passage that is delivered to the meteorological information management apparatus 10.
  • Various command signals or corresponding power input from the cradle may be operated as signals for recognizing that the weather information management device 10 is correctly mounted on the cradle.
  • the weather information management apparatus 10 may be configured to receive a command or control signal generated by an operation such as receiving a button according to a button operation or an arbitrary function selection by a user, or touching / scrolling a displayed screen. It may further include an input unit (not shown).
  • the input unit is a means for receiving at least one of a user's command, selection, data, and information, and may include a plurality of input keys and function keys for receiving numeric or text information and setting various functions.
  • the input unit includes a key pad, a dome switch, a touch pad (static pressure / capacitance), a touch screen, a jog wheel, a jog switch, a jog shuttle, and a mouse.
  • a touch pad static pressure / capacitance
  • a touch screen a touch screen
  • jog wheel a jog wheel
  • a jog switch a jog shuttle
  • mouse a mouse.
  • Various devices such as a stylus pen, a touch pen, and the like may be used.
  • the display unit 400 is formed in the form of a touch screen, some or all of the functions of the input may be performed through the display unit 400.
  • each component (or module) of the weather information management apparatus 10 may be software stored on the memory (or the storage 300) of the weather information management apparatus 10.
  • the memory may be an internal memory of the weather information management apparatus 10, and may be an external memory or another type of storage device.
  • the memory may also be a nonvolatile memory.
  • Software stored on the memory may include a set of instructions to cause the weather information management device 10 to perform a particular operation when executed.
  • the concentration of the fine dust is measured through the fine dust sensor, the weather information of the region where the corresponding fine dust sensor is provided from the server is received, and the fine dust correction deviation, which is a difference between the preset reference value and the observed value of the fine dust,
  • the correction coefficient may be calculated, and when the fine dust value observed by the fog occurs based on the calculated fine dust correction value, the occurrence of fog in the management area related to the correction value of the fine dust may be checked.
  • a data error may be determined through an error pattern for occurrence of fog affecting the fine dust sensor.
  • FIG. 3 is a flowchart illustrating a weather information management method according to an embodiment of the present invention.
  • the fine dust sensor 100 measures (or collects) the concentration of fine dust (or the observation value / measurement value of the fine dust) for the management area.
  • the plurality of fine dust sensors 100 interspersed in the management area measure the concentration of the fine dust in each of the installed areas.
  • the first to fifth fine dust sensors scattered in the first management region may include concentrations of first to fifth fine dusts (or first fine dusts) in areas where the respective fine dust sensors are located. Observations to observations of the fifth fine dust) are respectively measured (S310).
  • the communication unit 200 receives weather information on a management area associated with the corresponding fine dust sensor 100 provided from a server (not shown).
  • the weather information includes temperature, air pressure, wind speed, relative humidity, sunshine, precipitation, rainfall probability, UV index, visibility, atmospheric stability, region (or management region) unique identification information, and location information of the management region. And the like.
  • the communication unit 200 receives weather information for each management region provided from the server.
  • the communication unit 200 receives eleventh weather information including an eleventh temperature, an eleventh relative humidity, etc. for the first management area provided from the server (S320).
  • the controller 600 calculates a fine dust correction deviation between a preset reference value for the region where the fine dust sensor 100 is located and an observed value of the fine dust measured by the corresponding fine dust sensor 100.
  • the reference value (or reference value of the fine dust) may be a value observed by an expensive fine dust sensor, or may be a value observed by removing moisture from the air.
  • the controller 600 calculates a fine dust correction deviation, which is a difference between the reference value preset for the area where the fine dust sensor 100 is located and the observed value of the fine dust measured by the fine dust sensor 100.
  • the controller 600 calculates the first fine dust correction deviation to the fifth fine dust correction deviation, which are differences between the preset reference value and the observed value of the first fine dust to the observed value of the fifth fine dust, respectively (S330). ).
  • the controller 600 analyzes a correlation between the calculated fine dust correction deviation and the weather information received by the communication unit 200.
  • the controller 600 analyzes (or correlation analysis / regression analysis) the correlation between the calculated fine dust correction deviation and the previously received weather information.
  • controller 600 calculates a correction coefficient through correlation analysis between the calculated fine dust correction deviation and the previously received weather information.
  • the controller 600 calculates a correction coefficient for each component included in the weather information through a correlation analysis between the calculated fine dust correction deviation and the previously received weather information.
  • the correction coefficients are correction coefficients for observations of fine dust, correction coefficients for air temperature, constant values for air temperature, correction coefficients for air pressure, constant values for air pressure, correction values for wind speed, and constant values for wind speed.
  • the controller 600 analyzes a correlation between the first fine dust correction deviation and the fifth fine dust correction deviation and the eleventh temperature included in the eleventh weather information.
  • the controller 600 displays a correlation between the fine dust correction deviation and the eleventh temperature included in the eleventh weather information on the display unit 400.
  • the solid line shown in FIG. 4 represents the correlation between the fine dust correction deviation and the temperature
  • the dot represents the observation value of the fine dust
  • the checked region represents the 95% confidence interval.
  • the fine dust correction deviation and the temperature show a positive correlation, indicating that when the temperature increases, a larger value needs to be added to correct the fine dust observation value as a reference value.
  • the controller 600 analyzes a correlation between the first fine dust correction deviation to the fifth fine dust correction deviation and the eleventh relative humidity included in the eleventh weather information.
  • the controller 600 displays a correlation between the fine dust correction deviation and the eleventh relative humidity included in the eleventh weather information on the display unit 400.
  • the solid line shown in FIG. 5 represents the correlation between the fine dust correction deviation and the relative humidity
  • the dot represents the observation value of the fine dust
  • the checked region represents the 95% confidence interval.
  • the fine dust correction deviation and the relative humidity have a negative correlation, indicating that when the relative humidity is increased, a larger value needs to be subtracted to correct the fine dust observation value as a reference value.
  • control unit 600 controls the first observation value through correlation analysis (or multiple regression analysis) between the first fine dust correction deviation and the eleventh relative humidity included in the eleventh weather information.
  • the correction coefficient for example, 0.19393
  • the correction coefficient for example, -0.26680
  • the first constant value for example, 36.70170
  • control unit 600 may perform a correlation analysis (or multiple regression analysis) between the eleventh temperature and the eleventh relative humidity included in the first fine dust correction deviation and the eleventh weather information.
  • a correction coefficient according to the observed value for example 0.20028
  • a correction coefficient according to the eleventh temperature for example 1.61835)
  • a correction coefficient according to the eleventh relative humidity for example 0.08603
  • a second constant value for example, For example, -16.71632
  • the controller 600 considers both relative humidity and temperature together when considering only the relative humidity, and considering only the temperature, among various information included in the weather information.
  • the problem of multicollinearity occurs due to the influence of temperature, and the explanatory power value (for example, the adjusted R-squared value) is relatively higher than the relative humidity only.
  • the reliability is relatively lower than when the relative humidity is considered only (or when the relative humidity is the highest when considering only the relative humidity among the plurality of weather information), the information is included in the weather information.
  • the correlation analysis (or regression analysis) with the fine dust correction deviation can be performed by considering the relative humidity among the various factors. S340).
  • control unit 600 based on the observation value of the fine dust, weather information, the correction coefficient for the observation of the fine dust, the correction coefficient for the weather information, the constant value (or constant value for the weather information), etc.
  • the correction value of is calculated.
  • the controller 600 calculates the fine dust correction value (or the density correction value of the fine dust) based on the above [Equation 1].
  • controller 600 displays the calculated fine dust correction value, the measured fine dust observation value, the reference value, and the like on the display unit 400.
  • the controller 600 may include a correction coefficient (for example, 0.19393) according to the first observation value shown in FIG. 6, a correction coefficient (for example, ⁇ 0.26680) according to the eleventh relative humidity, and a first constant value (for example, For example, the correction value of the first fine dust is calculated based on the observed value of the first fine dust, the eleventh relative humidity, and the like.
  • a correction coefficient for example, 0.19393
  • a correction coefficient for example, ⁇ 0.26680
  • a first constant value for example,
  • the correction value of the first fine dust is calculated based on the observed value of the first fine dust, the eleventh relative humidity, and the like.
  • the controller 600 displays the reference value of the fine dust, the observed value of the fine dust (or the concentration of the fine dust), the correction value of the fine dust, and the like on the display unit 400 (S350). .
  • control unit 600 increases the concentration of the fine dust observed by the fog based on the calculated fine dust correction value (or the fine dust correction value increases by more than a preset fog generation threshold value compared to the previous value). ), The correction value of the fine dust (or the observed value of the fine dust corresponding to the correction value of the fine dust) is confirmed as the observed value according to the fog occurrence, and the correction value of the fine dust (or the correction of the fine dust) It is determined that the fog has occurred in the management area (or area) in which the fine dust sensor 100 having measured fine dust corresponding to the value) is measured.
  • the controller 600 may correct the first fine dust based on the reference value of the fine dust, the observed value of the fine dust (or the concentration of the fine dust), the correction value of the fine dust, etc. illustrated in FIG. 8.
  • the fog generation threshold value is increased by more than the preset value, the fog is generated in the first management area in which the concentration of the first fine dust related to the correction value of the first fine dust is measured. 1 fog information about the management area is output through the display unit 400 and / or the voice output unit 500.
  • the controller 600 checks a state in which the number of occurrences of the Y value occurring within a preset period including the corresponding correction value 810 occurs more than a preset number of times, and determines that a dense fog has occurred in the corresponding first management area. It may be.
  • controller 600 may check (or determine) whether the observed value of the fine dust related to the correction value of the corresponding fine dust is related to the generation of the fog by using the magnitude and the frequency of occurrence of the w value.
  • control unit 600 on the basis of the calculated fine dust correction value is generated when the value of the concentration of fine dust observed by the fog (or when the value of the fine value of the correction value / fine dust correction value is the previous value) If the number of occurrences of the peak value occurring within the preset period exceeds the preset number of times, it is determined to be dense fog, and the number of occurrences of the peak value occurring within the preset period occurs less than the preset number of times. If it is a light fog can be judged.
  • the controller 600 is configured to at least one component included in the weather information based on the calculated fine dust correction value and the weather information (or at least one component among the plurality of components included in the weather information).
  • the value of fine dust concentration is generated (or when the value of fine particle compensation value is increased / the fine dust correction value is increased by more than the preset fog occurrence threshold value compared with the previous value) when the value of fine dust concentration is higher than the preset reference value.
  • the location of the fine dust sensor 100 that checks the correction value of the dust as an observation value according to the occurrence of the fog and measures the correction value of the fine dust (or the observation value of the fine dust corresponding to the correction value of the fine dust). It is determined that a fog occurs in an area (or area).
  • the control unit 600 Based on the calculated fine dust correction value and relative humidity, the control unit 600 generates a fine value of the concentration of fine dust in a state where the relative humidity is equal to or greater than a preset relative humidity reference value (for example, 90%) ( Or when the fine value of fine dust correction value / fine dust correction value is increased more than the preset mist generation threshold value compared to the previous value), the fine dust correction value is confirmed as the observed value according to the fog occurrence. It is determined that the fog has occurred in the management area (or area) in which the fine dust sensor 100 in which the fine dust correction value (or the observed value of the fine dust corresponding to the fine dust correction value) is measured.
  • a preset relative humidity reference value for example, 90%
  • the controller 600 is configured to at least one component included in the weather information based on the calculated fine dust correction value and the weather information (or at least one component among the plurality of components included in the weather information).
  • the fine dust sensor which checks the correction value of the fine dust sensor 100 as an observation value according to an error of the fine dust sensor 100 and measures the correction value of the fine dust (or the observed value of the fine dust corresponding to the correction value of the fine dust) It is determined that there is an error (or an error) in 100).
  • the controller 600 Based on the calculated fine dust correction value and relative humidity, the controller 600 generates a fine value of the concentration of fine dust in a state in which the relative humidity is less than a predetermined relative humidity reference value (for example, 90%) ( Or when the value of the fine dust correction value is generated / the fine dust correction value is increased by more than a preset mist generation threshold value than the previous value), and the correction value of the fine dust is an observation value according to an error of the fine dust sensor 100. As a result, it is determined that there is an error (or error) in the fine dust sensor 100 which measures the correction value of the fine dust (or the observed value of the fine dust corresponding to the correction value of the fine dust).
  • a predetermined relative humidity reference value for example, 90%
  • control unit 600 is a relative humidity reference value (for example 90%) or more, based on the calculated fine dust correction value, relative humidity, the atmospheric stability and the visible distance predicted value analyzed in the numerical model.
  • the value of fine dust concentration or fine dust correction
  • the value of the fine dust is generated.
  • the correction value of the fine dust is confirmed as the observed value according to the fog occurrence, and the correction value of the fine dust is determined. (Or, the observed value of the fine dust corresponding to the correction value of the fine dust) A fog occurs in the management area (or area) where the fine dust sensor 100 is measured It is determined.
  • control unit 600 is based on the calculated fine dust correction value, relative humidity, the atmospheric stability and the visible distance predicted value analyzed in the numerical model, the relative humidity is less than the predetermined relative humidity reference value or the atmospheric stability is unstable ( Or when the value of the concentration of fine dust occurs (or when the value of the fine value of fine dust is generated / fine dust) in a state other than a stable state, or when the visible distance prediction value exceeds a preset visibility standard value (for example, 5 km).
  • the correction value of the fine dust is confirmed as an observation value according to the error of the fine dust sensor 100, and the correction value of the fine dust (or In operation S360, it is determined that there is an error (or an error) in the fine dust sensor 100, which measures the fine dust observation value corresponding to the fine dust correction value.
  • the meteorological information management apparatus using the fine dust sensor according to an embodiment of the present invention can be created by a computer program, and codes and code segments constituting the computer program can be easily inferred by a computer programmer in the art.
  • the computer program is stored in a computer readable media, and is read and executed by a computer or a meteorological information management apparatus, a server, or the like using a fine dust sensor according to an embodiment of the present invention. It is possible to implement a weather information management device using a dust sensor.
  • the information storage medium includes a magnetic recording medium, an optical recording medium and a carrier wave medium.
  • the computer program implementing the weather information management apparatus using the fine dust sensor according to an embodiment of the present invention may be stored and installed in an internal memory such as a weather information management apparatus or a server using the fine dust sensor.
  • an external memory such as a smart card that stores and installs a computer program for implementing a weather information management apparatus using a fine dust sensor according to an embodiment of the present invention may be installed in a weather information management apparatus using a fine dust sensor through an interface. It may be.
  • the embodiment of the present invention measures the concentration of the fine dust through the fine dust sensor, receives the weather information of the area where the corresponding fine dust sensor is provided from the server, the preset reference value and fine dust of the Compute the fine dust correction deviation, which is the difference between the observations, calculate the correction coefficient through correlation analysis and / or regression analysis between the calculated fine dust correction deviation and the weather information, and measure the observed values, weather information,
  • the fine dust correction value is calculated based on the calculated correction factor and the like.
  • the embodiment of the present invention by determining the error of the fine dust sensor measurement value by using the surrounding weather information in the service using a number of low-cost fine dust sensor, economical and accurate weather information Collection may be possible.
  • the embodiment of the present invention by determining the data error through the error pattern for the occurrence of the fog affecting the fine dust sensor, by utilizing the data error determination result of the fog through the low-cost fine dust sensor The occurrence can be detected.
  • the present invention measures the concentration of fine dust through the fine dust sensor, receives weather information of the area where the corresponding fine dust sensor is provided from the server, fine dust correction deviation that is the difference between the preset reference value and the observation of the fine dust To calculate the correction coefficient through the correlation analysis and / or regression analysis between the calculated fine dust correction deviation and weather information, and based on the observed value of the measured fine dust, weather information, and calculated correction coefficient
  • the fine dust sensor is measured by calculating the correction value of the dust, and checking the occurrence of the fog in the management area related to the correction value of the fine dust when the fine dust value observed by the fog is generated based on the calculated fine dust correction value. It is possible to provide reliable data by judging whether or not there is an error in the value, such as dust sensor field, fog field, weather information In the field, may be used extensively, etc. terminal areas.

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Abstract

L'invention concerne un dispositif de gestion d'informations météorologiques utilisant un capteur de poussière fine, un procédé associé et un support d'enregistrement sur lequel est enregistré un programme informatique. En d'autres termes, la présente invention permet de fournir des données fiables en déterminant si une erreur s'est produite dans une valeur de mesure d'un capteur de poussière fine au moyen de : la mesure d'un niveau de concentration de poussière fine au moyen d'un capteur de poussière fine ; la réception, depuis un serveur, d'informations météorologiques de la région dans laquelle se trouve le capteur de poussière fine correspondant ; le calcul d'un écart corrigé de poussière fine qui est la différence entre une valeur de référence prédéfinie et une valeur d'observation de poussière fine ; le calcul d'un facteur de correction au moyen d'une analyse de corrélation et/ou d'une analyse de régression de l'écart corrigé de poussière fine calculé et des informations météorologiques ; le calcul d'une valeur corrigée de poussière fine sur la base de la valeur d'observation de poussière fine mesurée, des informations météorologiques, du facteur de correction calculé, etc. ; et, sur la base de la valeur corrigée de poussière fine calculée, lorsqu'une valeur d'observation aberrante de poussière fine observée en raison d'une levée de brouillard, la vérification d'une situation de levée de brouillard d'une région gérée associée à la valeur corrigée de poussière fine correspondante.
PCT/KR2017/011289 2016-12-08 2017-10-13 Dispositif de gestion d'informations météorologiques utilisant un capteur de poussière fine, procédé associé et support d'enregistrement sur lequel est enregistré un programme informatique WO2018105871A1 (fr)

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KR1020160166668A KR101921125B1 (ko) 2016-12-08 2016-12-08 미세먼지 센서를 이용한 기상 정보 관리 장치, 그 방법 및 컴퓨터 프로그램이 기록된 기록매체
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KR102130506B1 (ko) * 2018-09-11 2020-07-06 주식회사 이쓰리 센서의 교체 시점을 결정하는 대기질 측정장치
KR102590536B1 (ko) * 2018-10-26 2023-10-17 주식회사 케이티 공기질 측정 센서의 배치 간격을 결정하기 위한 장치 및 방법
KR102202119B1 (ko) * 2018-11-27 2021-01-12 주식회사 에스프렉텀 기상데이터 활용을 위한 스마트 레시피 시스템
KR102148812B1 (ko) * 2018-11-29 2020-08-28 주식회사 아림사이언스 공기질 측정 장치 및 시스템
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KR102243617B1 (ko) * 2020-05-11 2021-04-22 배재대학교 산학협력단 본페로니 사후 검정 기반 대기오염 물질 모니터링 시스템 및 방법
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