KR101741630B1 - Device and method for deciding effectiveness of fine dust detection date - Google Patents

Device and method for deciding effectiveness of fine dust detection date Download PDF

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Publication number
KR101741630B1
KR101741630B1 KR1020160016603A KR20160016603A KR101741630B1 KR 101741630 B1 KR101741630 B1 KR 101741630B1 KR 1020160016603 A KR1020160016603 A KR 1020160016603A KR 20160016603 A KR20160016603 A KR 20160016603A KR 101741630 B1 KR101741630 B1 KR 101741630B1
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South Korea
Prior art keywords
fine dust
data
dust measurement
measurement data
validity
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KR1020160016603A
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Korean (ko)
Inventor
안종석
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동국대학교 산학협력단
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • 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
    • 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
    • G01N33/007—Arrangements to check the analyser
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G06Q50/205—Education administration or guidance

Abstract

The present invention relates to determination of effectiveness of sensor data and, more particularly, to a device and a method for determining the effectiveness of fine dust measurement data for verifying effectiveness of data input from a find dust measurement sensor. The device comprises: a data receiving unit for receiving fine dust measurement data sensed from the fine dust measurement sensor; a data effectiveness determination unit for determining the effectiveness of the received fine dust measurement data; and an error determination output unit for outputting an error determination result.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a device and method for determining fine dust measurement data,

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to determination of validity of sensor data, and more particularly, to a validity determination apparatus and method for verifying validity of data input from a fine dust measurement sensor.

Due to the development of industry and the increase in population by urbanization, various air pollutants are discharged to the atmosphere, and the environmental pollution in the area where we live has already worsened and our healthy life is threatened. Among them, fine dust means dust (PM-10) which is smaller than 10 micrometer (㎛, 210 thousandth of a meter) in particle size, and its importance is recognized in terms of risk to the human body. In the case of fine particle size of 2.5 μm (PM-2.5, ultrafine dust), it is more and more interested because it penetrates into the bronchial alveoli more effectively and induces lung cancer and pneumoconiosis. Recently, national and municipal governments have been measuring real-time fine dust and ultrafine dust, and when they have been concerned about harming the human body, they are warning or alarming to protect citizens' health from air pollution.

However, the fine dust measuring sensor may not be able to detect and transmit the fine dust measuring data due to the defect of the fine dust measuring device or the software, and may transmit the error data by erroneous measurement, thereby giving false prediction or alarm .

BACKGROUND OF THE INVENTION [0002] The background art of the present invention is disclosed in Korean Patent Laid-Open Publication No. 2014-0008602 (published on Apr. 21, 2014, Performance Improvement Apparatus for Fine Dust Tester).

The present invention provides an apparatus and method for determining the validity of fine dust measurement data based on a change in the fine dust measurement data.

The present invention also provides an apparatus for determining the validity of fine dust measurement data, which determines the validity of fine dust measurement data erroneously detected by a defect in hardware and software of the fine dust measurement sensor, in addition to an error detection technique based on data transmission period and channel characteristics. ≪ / RTI >

The objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood from the following description.

According to an aspect of the present invention, there is provided an apparatus for determining the validity of fine dust measurement data.

An apparatus for determining effectiveness of fine dust measurement data according to an embodiment of the present invention includes a data receiving unit for receiving fine dust measurement data sensed by a fine dust measurement sensor, a data validity determination unit for determining validity of received fine dust measurement data, And an error determination output section for outputting an error determination result when the received fine dust measurement data is determined to be an error.

According to an aspect of the present invention, there is provided a method of determining the validity of fine dust measurement data and a computer program for executing the method.

A method for determining effectiveness of fine dust measurement data according to an embodiment of the present invention and a computer program for executing the method include receiving fine dust measurement data sensed by a fine dust measurement sensor, determining validity of received fine dust measurement data And outputting an error determination result when it is determined that the received fine dust measurement data is an error.

The present invention can determine the validity of the fine dust measurement data based on the change of the fine dust measurement data.

In addition, the present invention can determine the validity of misdetected fine dust measurement data due to a defect in the hardware and software of the fine dust measurement sensor, in addition to the error detection technique based on the data transmission period and channel characteristics.

BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 is a diagram of a fine dust measurement system in accordance with an embodiment of the present invention.
2 and 3 are views for explaining an apparatus for determining the validity of fine dust measurement data according to an embodiment of the present invention.
4 and 5 are views for explaining a method for determining the validity of fine dust measurement data according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Also, when a part is referred to as "including " an element, it is to be understood that it may include other elements as well, without departing from the other elements unless specifically stated otherwise.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings.

1 is a view illustrating a fine dust measuring system according to an embodiment of the present invention.

Referring to FIG. 1, the fine dust measuring system includes a fine dust measuring apparatus 100 and a fine dust measuring data validity determining apparatus 200.

The fine dust measuring apparatus 100 measures fine dust. The fine dust measuring apparatus 100 detects the fine dust density by using, for example, a light scattering method or a betaine absorption method. The fine dust measuring apparatus 100 may be fixedly installed in a predetermined place or may be moved in a predetermined path to measure fine dust.

The fine dust measurement data validity determination apparatus 200 determines the validity of the fine dust measurement data received by the fine dust measurement apparatus 100.

FIG. 2 and FIG. 3 are views for explaining an apparatus for determining the effectiveness of fine dust measurement data according to an embodiment of the present invention.

2, the apparatus for determining the validity of the fine dust measurement data includes a data receiving unit 210, a data validity determining unit 220, and an error determination output unit 230.

The data receiving unit 210 receives the fine dust measurement data sensed by the fine dust measurement sensor. The fine dust measuring sensor may be a sensor for measuring the mass concentration or the concentration of fine dust in real time in the fine dust measuring apparatus.

The data validity determination unit 220 determines the validity of the received fine dust measurement data. Due to the nature of the fine dust, the deviation of the fine dust measurement data measured according to the sensitivity of the sensor may be significant. In addition, the smaller the number of sensors, the more likely the malfunction of the sensor occurs. In the case where the physical characteristics of the sensor are changed, the received fine dust measurement data may represent an ideal value rather than a normal value. It is easy to check whether there is an error in the data whose value changes more than the average value or the continuous data. However, if there is a problem in the characteristics of the sensor device, it may be difficult to confirm whether or not the normal data is received. In this case, it is possible to first check whether the reliability is confirmed by using the deviation of the measured data in real time, and secondly, refer to the specification of the sensor to determine the abnormality. If the deviation of the value of the sensor standard is large, it is possible to confirm whether the data is abnormal by comparing the learning data judging the past data in the third place.

3, the data validity determining unit 220 includes a previous data average value calculating unit 221, a received data comparing unit 223, a previous data range setting unit 225, a duration checking unit 227, And a determination section 229.

 The previous data average value calculating section 221 calculates the average value of the data received before the currently received fine dust measurement data. Here, the number of data previously input is set in advance at first, and can be adaptively changed according to a change in input fine dust measurement data.

The received data comparison unit 223 compares the currently received fine dust measurement data with the average value of the calculated previous data. The received data comparison unit 223 determines normal data when the currently input fine dust measurement data is within a predetermined allowable range alpha from the average value of previous data. The received data comparison unit 223 determines the abnormal data when the currently input fine dust measurement data is outside the predetermined allowable range? From the average value of the previous data. Here, the margin range [alpha] is initially set by the physical characteristics of the sensor, and thereafter can be adjusted by learning according to the characteristics of the fine dust measurement data.

If the currently received fine dust measurement data continues to be within the predetermined allowance range alpha from the average value of the previous data, that is, if the input fine dust measurement data is small Narrow the range of previous data that yields the average value. The previous data range setting unit 225 calculates the average value when the currently input fine dust measurement data continues to be outside the predetermined allowable range? From the average value of the previous data, that is, when there are many abnormal data Extend the range of previous data. Therefore, the previous data range setting unit 225 adaptively changes the data setting range in accordance with the change of the fine dust measurement data.

The previous data range setting unit 225 may also narrow the range of the previous data when the average value of the previous data is out of the predetermined allowable range? Due to another cause.

The duration checking unit 227 checks whether the duration of the abnormal data is equal to or greater than a predetermined duration. If the duration of the abnormal data is within the preset duration, the duration checking unit 227 determines that the fine dust measurement data is not an error and keeps inputting the data continuously.

The error determination section 229 determines that the received fine dust measurement data is an error if the duration of the abnormality data is equal to or greater than a predetermined duration time.

The error determination output unit 230 outputs an error determination result when it is determined that the received fine dust measurement data is an error. Here, the output method communicates with a predetermined terminal to notify the user of the occurrence of the error data, or can issue a warning or an alarm through the display device or the speaker.

FIGS. 4 and 5 are diagrams for explaining a method for determining the validity of fine dust measurement data according to an embodiment of the present invention.

Referring to FIG. 4, in step S410, the fine dust measurement data validity determination device 230 receives fine dust measurement data from the fine dust measurement sensor.

In step S420, the validity determination device 230 of fine dust measurement data determines the validity of the received fine dust measurement data.

Hereinafter, step S520 will be described in more detail with reference to FIG.

In step S510, the validity determination device 230 of fine dust measurement data receives the fine dust measurement data measured in real time.

In step S520, the validity determination device 230 of fine dust measurement data calculates the average value of the previously received fine dust measurement data.

In step S530, the fine dust measurement data validity determination device 230 determines whether the received fine dust measurement data is within a range of a predetermined margin value from the calculated average value. Here, the predetermined margin value can be determined based on at least one of the error range of the fine dust measurement sensor and the variation range of the previously calculated average value.

In step S540, when the fine dust measurement data validity determination device 230 determines that the input fine dust measurement data is out of the range of the predefined margin value from the calculated average value, it determines that the fine dust measurement data is abnormal data, Is added once to add the number of abnormal data duration times.

If it is determined in step S550 that the input fine dust measurement data is within the range of the predetermined margin value from the calculated average value, the device 230 for determining the validity of the fine dust measurement data sets the range (k) β.

In step S560, the validity determination device 230 of the fine dust measurement data broadens the range k of the previous data by +?.

In step S570, the validity determination device 230 of the fine dust measurement data determines whether the abnormal data continues for a predetermined time (Ct) or longer.

In step S580, the validity determination device 230 for fine dust measurement data performs error processing on the received data when the abnormal data exceeds a predetermined time (Ct <= Ltime).

Referring again to FIG. 4, in step S430, the validity determination device 230 for fine dust measurement data outputs a result of determining the validity of the fine dust measurement data.

The method of determining the validity of the fine dust measurement data according to various embodiments of the present invention may be implemented in the form of a program command that can be executed through various means such as servers. Further, a program and an application for executing the method for determining the validity of the fine dust measurement data according to the present invention may be installed in a computer means and recorded in a computer-readable medium. The computer readable medium may include program instructions, data files, data structures, and the like, alone or in combination. Program instructions to be recorded on a computer-readable medium may be those specially designed and constructed for the present invention or may be available to those skilled in the computer software arts. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Includes hardware devices specifically configured to store and execute program instructions such as magneto-optical media and ROM, RAM, flash memory, and the like.

The embodiments of the present invention have been described above. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is defined by the appended claims rather than by the foregoing description, and all differences within the scope of equivalents thereof should be construed as being included in the present invention.

210: Data receiving unit
220: Data validity determination unit
230: Error determination output section

Claims (9)

An apparatus for determining the validity of fine dust measurement data,
A data receiving unit for receiving the fine dust measurement data sensed by the fine dust measurement sensor;
A data validity determination unit for determining the validity of the received fine dust measurement data; And
And an error determination output unit for outputting an error determination result when the received fine dust measurement data is determined to be an error,
The data validity determination unit
A previous data average value calculation unit for calculating an average value of data received before the currently received fine dust measurement data;
A received data comparison unit for comparing the currently received fine dust measurement data with an average value of the calculated previous data;
A previous data range setting unit adapted to adaptively change a data setting range according to a change in the received fine dust measurement data;
A duration time verifying unit for comparing the currently received fine dust measurement data with an average value of the calculated previous data to determine whether the duration of the abnormal data is equal to or greater than a predetermined duration if it is determined to be abnormal data; And
And an error judging section for judging that the received fine dust measurement data is an error if the duration of the abnormal data is equal to or greater than a predetermined duration time.
delete The method according to claim 1,
The previous data range setting unit
If the currently received fine dust measurement data continues to be within a predetermined allowable range from the average value of previous data, the range of previous data may be narrowed, or the currently received fine dust measurement data may be preset And determining the validity of the fine dust measurement data that widen the range of the previous data when the case beyond the allowable range continues.
The method according to claim 1,
The error determination output section
When the received fine dust measurement data is judged to be an error, communicating to a preset terminal and notifying the fact that error data has been generated, or judging the validity of fine dust measurement data for outputting a warning or alarm through a display device or a speaker Device.
A method for determining the validity of fine dust measurement data,
Receiving fine dust measurement data sensed by a fine dust measurement sensor;
Determining validity of the received fine dust measurement data; And
And outputting an error determination result when it is determined that the received fine dust measurement data is an error,
The step of determining the validity of the received fine dust measurement data
Receiving fine dust measurement data measured in real time;
Calculating an average value of the previously received fine dust measurement data;
Determining whether the received fine dust measurement data is within a range of a predetermined margin value from the calculated average value;
Determining that the input fine dust measurement data is abnormal data and adding the abnormal data duration time number once to add the abnormal data duration time number if the inputted fine dust measurement data is out of the range of the predetermined margin value from the calculated average value;
Determining whether the abnormal data continues for a predetermined time or longer; And
And error processing the received data if the abnormal data continues for a predetermined time or longer.
delete 6. The method of claim 5,
Further comprising the step of widening the range of the previous data when determining that the abnormal data is abnormal data.
6. The method of claim 5,
Further comprising the step of narrowing the range of the previous data when the inputted fine dust measurement data does not deviate from the calculated average value in the range of the preset margin value as a result of the determination.
A computer program recorded on a computer-readable recording medium for executing the method for determining the validity of the fine dust measurement data according to any one of claims 5, 7, and 8.
KR1020160016603A 2016-02-12 2016-02-12 Device and method for deciding effectiveness of fine dust detection date KR101741630B1 (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20190075482A (en) * 2017-12-21 2019-07-01 주식회사 스마트시티그리드 Method for detecting failure of sensor of atmosphere environment
KR20200071796A (en) * 2018-11-29 2020-06-22 주식회사 아림사이언스 Apparatus for measuring air quality and system therefor
KR200492103Y1 (en) * 2020-04-27 2020-08-07 주식회사 노아엘이디 Display device for weather information using sensor data and public data
KR20210136655A (en) * 2020-05-08 2021-11-17 (주)에스이랩 System for evaluating performance of environmental sensor module

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20190075482A (en) * 2017-12-21 2019-07-01 주식회사 스마트시티그리드 Method for detecting failure of sensor of atmosphere environment
KR102015712B1 (en) 2017-12-21 2019-08-28 주식회사 스마트시티그리드 Method for detecting failure of sensor of atmosphere environment
KR20200071796A (en) * 2018-11-29 2020-06-22 주식회사 아림사이언스 Apparatus for measuring air quality and system therefor
KR102148812B1 (en) 2018-11-29 2020-08-28 주식회사 아림사이언스 Apparatus for measuring air quality and system therefor
KR200492103Y1 (en) * 2020-04-27 2020-08-07 주식회사 노아엘이디 Display device for weather information using sensor data and public data
KR20210136655A (en) * 2020-05-08 2021-11-17 (주)에스이랩 System for evaluating performance of environmental sensor module
KR102424191B1 (en) * 2020-05-08 2022-07-25 (주)에스이랩 System for evaluating performance of environmental sensor module

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