KR20210096740A - Apparatus and method for designing the installation location of air quality meter - Google Patents

Abstract

Disclosed are an apparatus and a method for designing an installation location of an air quality measurement device to install air quality measurement devices around an area requiring concentrated monitoring due to the presence of a fine dust pollution source and an area crowded with vulnerable social groups greatly harmed by fine dust. According to one embodiment of the present invention, the apparatus for designing an installation location of an air quality measurement device comprises: a candidate area selection unit selecting a plurality of installation candidate areas of air quality measurement devices; a data collection unit collecting data of concentrated monitoring factors and harm effect factors for each installation candidate area; a score calculation unit calculating a harm influence score for each installation candidate area based on the data of the harm effect factors, calculating a concentrated monitoring need score for each installation candidate area based on the data of the concentrated monitoring factors, and calculating a comprehensive score by aggregating the farm influence score and the concentrated monitoring need score for each installation candidate area; and a determining unit finally determining an area in which an air quality measurement device is to be installed among the plurality of installation candidate areas based on the comprehensive score.

Description

Location design device and method for designing the installation location of an air quality meter

The present invention relates to a location design device and method for designing an installation location of an air quality meter, and more particularly, to a location design device and method for designing an installation location of an air quality meter according to priority.

Recently, the concentration of fine dust suspended in the air in Korea has been increasing significantly. When such fine dust is inhaled into the human body, it not only causes respiratory and cardiovascular diseases, but also exacerbates allergic diseases such as asthma and atopic dermatitis. Accordingly, in recent years, the government measures air quality such as fine dust and discloses it to the public.

The government measures air quality using expensive air quality meters. The government-operated meter is installed at the city or ward level and discloses air quality data per hour. However, in large cities with dense high-rise buildings and large fluctuations in floating population and traffic, air flow and diffusion patterns of fine dust are very complex, so the concentration of fine dust is large even between adjacent areas. Therefore, the air quality data provided by the government is inaccurate the farther from the location where the meter is installed. However, the cost is high if expensive air quality meters are tightly installed.

In this regard, KT is providing air quality measurement services by installing measuring instruments across the country through the Air map Korea project. As an installation location for the air quality measuring instrument, a location that is easy to install and maintain, such as a bus stop, is selected. there is. If an air quality meter is installed by selecting a location in this arbitrary way, the air quality meter is installed at a location far from the central management area such as the actual air quality emission source and the residential area for the vulnerable, so it is difficult to accurately determine the actual fine dust concentration. is difficult to promote.

The present invention has been proposed to solve the above-mentioned problems, so that the air quality meter can be installed centered on an area where there is a concentration of the vulnerable class having a large impact of fine dust and an area where there is a fine dust pollution source and there is a need for intensive monitoring. An object of the present invention is to provide a position design device and method for designing an installation position of a measuring instrument.

A location design apparatus for designing an installation location of an air quality meter according to an embodiment includes: a candidate area selection unit for selecting a plurality of installation candidate areas of the air quality meter; a data collection unit that collects data of damage impact factors and centralized monitoring factors for each installation candidate region; A damage impact score is calculated for each installation candidate region based on the data of the damage influence factors, and a intensive monitoring necessity score is calculated for each installation candidate region based on the data of the centralized monitoring factors, and the a score calculation unit for calculating a comprehensive score by synthesizing the damage impact score and the intensive monitoring necessity score; and a determination unit that finally determines an area in which an air quality meter is to be installed among the plurality of installation candidate areas based on the overall score.

The candidate area selection unit is a communication facility management system for managing facility construction information of a communication infrastructure by requesting and receiving facility construction information of a predetermined area, and based on the received facility construction information, the plurality of installation areas in which communication infrastructure is installed Candidate areas can be selected.

The damage impact factors include the total number of floating populations, the number of vulnerable class floating populations, the number of schools, and the number of hospitals, and the score calculator calculates a grade for each damage impact factor and assigns a score according to the grade. A damage impact score may be calculated by averaging the scores of the factors.

The data collection unit may receive age information of communication subscribers for each installation candidate region from a communication company server, and calculate the total floating population and the vulnerable class floating population based on the age information of the communication subscribers.

The intensive monitoring factors include the traffic volume and the number of harmful facilities in a specific time period, and the score calculation unit calculates a grade for each intensive monitoring factor and assigns a score according to the grade, and then weights averages the scores of the intensive monitoring factors for intensive monitoring A necessity score can be calculated.

The data collection unit receives the location information of communication subscribers in a specific time zone for each installation candidate region from the communication company server, and calculates the number of communication subscribers moving at a predetermined speed or more based on the location information as the traffic volume in the specific time zone. can

The determining unit may further apply a score according to a hospital grade in each installation candidate region and a score according to the hazardous facility grade to the ranking according to the overall score for each installation candidate region.

A method of designing an installation location of an air quality meter according to an embodiment includes: selecting a plurality of installation candidates for the air quality meter; collecting data of damage impact factors and centralized monitoring factors for each installation candidate region; A damage impact score is calculated for each installation candidate region based on the data of the damage influence factors, and a intensive monitoring necessity score is calculated for each installation candidate region based on the data of the centralized monitoring factors, and the calculating a comprehensive score by synthesizing the damage impact score and the intensive monitoring necessity score; and finally determining an area in which an air quality meter is to be installed among the plurality of installation candidate areas based on the overall score.

The selecting may include requesting and receiving facility construction information of a predetermined area with a communication facility management system that manages facility construction information of a communication infrastructure, and based on the received facility construction information, install the plurality of areas in which communication infrastructure is installed Candidate areas can be selected.

The damage impact factors include the total number of floating populations, the number of vulnerable class floating populations, the number of schools and hospitals, and the step of calculating the overall score includes calculating a grade for each damage impact factor and calculating a score according to the grade The method may include calculating a damage impact score by averaging the scores of the damage impact factors after giving them.

The collecting may include receiving age information of communication subscribers for each installation candidate region from a communication company server, and calculating the total floating population and the vulnerable class floating population based on the age information of the communication subscribers. .

The intensive monitoring factors include the traffic volume and the number of harmful facilities in a specific time period, and the step of calculating the overall score includes calculating a grade for each intensive monitoring factor and giving a score according to the grade, and then weighting the scores of the intensive monitoring factors and calculating an intensive monitoring necessity score by averaging them.

The collecting includes receiving location information of communication subscribers in a specific time zone for each installation candidate region from a communication company server, and calculating the number of communication subscribers moving at a predetermined speed or higher based on the location information as the traffic volume in the specific time zone may include the step of

In the determining step, a score according to a hospital grade in each installation candidate region and a score according to the hazardous facility grade may be further applied to the ranking according to the overall score for each installation candidate region.

The present invention provides the advantage of not having to install a separate power supply facility for the air quality meter by selecting an area where the communication infrastructure is installed as an installation candidate area for the air quality meter, and that existing facilities can be recycled.

The present invention selects the damage impact factors that are the target of damage by fine dust in each installation candidate region to calculate the damage impact score, and also selects the intensive monitoring factors that are the fine dust pollution sources that cause fine dust and the necessity of intensive monitoring After calculating the scores, by synthesizing these scores, the area where the concentration of fine dust should be measured is finally selected, so that the air quality meter can be installed in the necessary areas.

In particular, the present invention allows the air quality meter to be installed in an area where there are many children/elderly people, which are vulnerable groups to fine dust, and in an area with a lot of harmful facilities and traffic, so that the vulnerable class can preferentially respond to the fine dust agent.

According to the present invention, it is possible to design an area in which an air quality meter is installed quickly and accurately by analyzing big data of communication subscriber information and geographic information.

1 is a diagram showing the configuration of a system for designing an installation position of an air quality meter according to an embodiment of the present invention.
2 is a view showing the configuration of a location design device according to an embodiment of the present invention.
3 is a flowchart illustrating a method for designing a location of an air quality meter in a location design device according to an embodiment of the present invention.
4 is a view showing an installation position of an air quality meter according to an embodiment of the present invention.

The above-described objects, features, and advantages will become more apparent through the following detailed description in relation to the accompanying drawings, whereby those of ordinary skill in the art to which the present invention pertains can easily implement the technical idea of the present invention. There will be. In addition, in describing the present invention, if it is determined that a detailed description of a known technology related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted. Hereinafter, a preferred embodiment according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a view showing the configuration of a system for designing an installation position of an air quality meter according to an embodiment of the present invention. Referring to FIG. 1 , the system according to the present embodiment includes a communication facility management system 110 , a communication company server 120 , a geographic information system 130 , a location design device 140 , and a communication network 150 . Here, the communication network 150 includes, but is not limited to, a known mobile communication network or a next-generation mobile communication network, wired Internet, or short-range wireless communication, and is not particularly limited as long as it is a network for wired and wireless communication.

The communication facility management system 110 is a system for managing facility construction information of a communication infrastructure. Here, the communication infrastructure includes a base station, a repeater, a telephone office, and the like. The communication facility management system 110 stores and manages location information and detailed specification information of communication infrastructure facilities. The communication facility management system 110 searches for facility construction information in a predetermined area (eg, unit) according to the request of the location design device 140 , and returns it to the location design device 140 .

The communication company server 120 stores and manages personal information (eg, age, region, gender, phone number, etc.) of the communication subscriber and location information of the communication subscriber. The communication company server 120 may receive, store, and manage the location information of the communication subscriber from the LBS (Location Based Service) equipment. The location of the communication subscriber may be determined based on the cell of the base station or analyzed using triangulation using an access point or a repeater, and location information for each time period may be stored and managed. The communication company server 120 returns information of a communication subscriber located in a specific area in a specific time zone according to the request of the location design device 140 .

The geographic information system 130 is a system for collecting, managing, and analyzing geographic data, and stores and manages information on various buildings and facilities. In the present invention, the geographic information system 130 searches for school information, hospital information, and harmful facility information in a predetermined area according to the request of the location design device 140 and returns it. Here, the hospital information includes hospital grade information such as 100 or more beds, general, general/medical care, oriental medicine, and harmful facility information includes information about 1/2/3 types of air pollution.

The location design device 140 selects a plurality of installation candidate regions of the air quality meter, collects data of damage influence factors and centralized monitoring factors for each installation candidate region, and data of the collected damage influence factors and centralized monitoring factors is used to calculate the overall score for each installation candidate area, and finally determines the area where the air quality meter will be installed among a plurality of installation candidate areas based on the ranking according to the overall score. A method of designing an area in which the air quality meter is installed in the location design device 140 will be described in detail below with reference to the drawings.

2 is a view showing the configuration of a location design device according to an embodiment of the present invention. The location design device 140 according to the present embodiment may include a memory, a memory controller, one or more processors (CPU), a peripheral interface, an input/output (I/O) subsystem, a display device, an input device, and a communication circuit. . The memory may include high-speed random access memory, and may also include one or more magnetic disk storage devices, non-volatile memories such as flash memory devices, or other non-volatile semiconductor memory devices. Access to the memory by other components, such as the processor and peripheral interfaces, may be controlled by the memory controller. The memory may store various kinds of information and program instructions, and the program is executed by the processor. Peripheral interfaces connect the I/O peripherals to the processor and memory. One or more processors execute various software programs and/or sets of instructions stored in memory to perform various functions for the system and process data. The I/O subsystem provides an interface between input/output peripherals such as display devices and input devices and the peripheral interface. The communication circuit performs communication through an external port or communication by an RF signal. The communication circuitry converts electrical signals into RF signals and vice versa through which the RF signals can communicate with communication networks, other mobile gateway devices, and communication devices. Referring to FIG. 2 , the location design device 140 includes a candidate area selection unit 210 , a data collection unit 220 , a score calculation unit 230 , and a determination unit 24 , and these components are programmatically configured. It may be implemented, stored in a memory, and executed by a processor, or may operate as a combination of hardware and software.

The candidate area selection unit 210 selects a plurality of installation candidate areas of the air quality meter. More specifically, the candidate area selection unit 210 requests and receives facility construction information of a communication infrastructure in a predetermined area, for example, a specific dong (eg, Seocho-dong) from the communication facility management system 110 , and receives the received information. Based on the facility construction information, areas where communication infrastructure is installed are selected as installation candidate areas. For example, the AA building in Seocho-dong where the base station is installed and the BB apartment in Seocho-dong where the repeater is installed are selected as installation candidate areas.

The data collection unit 220 collects data of damage influence factors and centralized monitoring factors for each installation candidate region. Here, the damage impact factors include the total number of floating population, the number of vulnerable class floating population, the number of schools, the number of hospitals, and the hospital grade, and the intensive monitoring factors include the traffic volume at a specific time, the number of harmful facilities, and the harmful facility grade. It can be understood that the damage impact factors refer to important targets that are damaged by fine dust, and the focused monitoring factors refer to the causes of fine dust that cause fine dust. A method of collecting each factor is specifically as follows.

The data collection unit 220 transmits information and time zone information of each installation candidate region to the communication company server 120 to request information on communication subscribers located in the corresponding installation candidate region in the corresponding time zone, and receives a response thereto. For example, the data collection unit 220 requests and receives information of a communication subscriber located in a 500-meter radius from the AA building in Seocho-dong from 7 am to 22:00 from the communication company server 120 . Here, the information of the communication subscriber includes age and location information.

The data collection unit 220 processes the communication subscriber information to calculate the total number of floating populations, the number of vulnerable class floating populations, and traffic volume in a specific time period for each installation candidate region. The total floating population is the total number of telecommunication subscribers located in the area, and the vulnerable population floating population is the number of people under the age of 20 and over the age of 60 among the total floating population. The traffic volume is the number of telecommunication subscribers moving at a predetermined speed, for example, 80 km/h or higher in a given area. Preferably, the data collection unit 220 may average the total number of floating population, the number of vulnerable people, and traffic volume over a certain period of time.

The data collection unit 220 transmits information of each installation candidate area to the geographic information system 130 to receive information on nearby schools, nearby hospitals, and nearby hazardous facilities in the installation candidate area, and based on this, each installation candidate Calculate the number of schools and hospitals and the number of hazardous facilities in the area, and also identify the hospital grade and hazardous facility grade.

The score calculation unit 230 calculates a damage impact score for each installation candidate region based on the data of the damage influence factors, and also calculates the intensive monitoring necessity score for each installation candidate region based on the data of the central monitoring factors. and calculates a comprehensive score by synthesizing the damage impact score and the intensive monitoring necessity score for each installation candidate region.

The score calculation unit 230 calculates a grade for each of the total floating population, the number of vulnerable class floating population, the number of schools, and the number of hospitals for each installation candidate region, and gives scores according to the grades, and then scores of each factor The weighted average value is used as the damage impact score. In this case, the score calculation unit 230 calculates the grade of each factor by using the percentile of each factor in each installation candidate area based on the entire installation candidate area in calculating the grade of each factor in each installation candidate area. For example, the top 10% will give a rating of 1 and 5 points, the top 10-30% will be graded 2 and 4, the top 30-40% will be graded 3 and 3, and the top 40-70% will be graded 4 and 2 points, the top 70-100% are given 5 grades and 1 point. For example, if the number of schools in the first candidate area for installation is the top 5% based on the entire candidate area for installation, the grades and scores of the number of schools in the first candidate area for installation are 1 grade and 5 points.

Specifically, the total floating population of AA building is 4 points for 2nd grade, the number of vulnerable class floating population is 5 points for 1st grade, the number of schools is 5 grade 1 point, the number of hospitals is 5 grade 1 point, and the total floating population of BB apartment If is 5 points in 1st grade, 4 points in 2nd grade for the number of floating population of the vulnerable class, 3 points for 3rd grade for the number of schools, and 2 points for 4th grade for the number of hospitals, the damage impact score of the AA building and BB apartment is as follows.

AA Building Damage Impact Score 3.05 =(4*0.35)+(5*0.25)+(1*0.2)+(1*0.2)

BB Apartment Damage Impact Score 3.75 = (5*0.35)+(4*0.25)+(3*0.2)+(2*0.2)

Here, 0.35 in each parenthesis. 0.25. 0.2. 0.2 is the weight. The weight is not necessarily limited thereto, and the value of the weight may vary according to importance.

The score calculation unit 230 calculates a grade for each of the traffic volume and the number of harmful facilities for each installation candidate region, assigns a score according to the grade, and then sets the weighted average value of the scores of each factor as the intensive monitoring necessity score. At this time, the method of calculating the grade of each factor in each installation candidate area in the score calculation unit 230 and averaging the scores of each factor is the same as that of calculating the damage impact score described above. Specifically, if the traffic volume of the AA building is 5 points for 1st grade, the number of harmful facilities is 1 point for 5th grade, the traffic volume of the BB apartment is 3 points for 3rd grade, and the number of harmful facilities is 1 grade 5 points The necessity score is as follows.

AA Building Focused Monitoring Necessity Score 3.4 = (5*0.6)+(1*0.4)

BB apartment intensive monitoring need score 3.8 = (3*0.6)+(5*0.4)

Here, 0.6 in each parenthesis. 0.4 is the weight. The weight is not necessarily limited thereto, and the value of the weight may vary according to importance.

The score calculation unit 230 calculates a comprehensive score by synthesizing the damage impact score and the intensive monitoring necessity score for each installation candidate region. Also at this time, the score calculation unit 230 may calculate a total score by averaging the damage impact score and the intensive monitoring necessity score. Based on the example described above, the overall score of the AA building and the BB apartment is calculated as follows.

AA Building Composite Score 3.225 =(3.05*0.5)+(3.4*0.5)

BB Apartment Composite Score 3.775 = (3.75*0.5)+(3.8*0.5)

The determination unit 240 finally determines an area in which the air quality meter is to be installed among the installation candidate areas based on the ranking according to the overall score. For example, the top few installation candidate regions may be determined as final installation regions. The determination unit 240 may further apply a score according to a hospital grade in each installation candidate region and a score according to the harmful facility grade to the ranking of each installation candidate region. For example, the score according to the hospital grade and the score according to the hazardous facility grade are directly subtracted from the ranking. For example, if the AA building ranks 58th, and the nearby hospital of the AA building is a general hospital, the score 3 corresponding to the general hospital is subtracted from the rank 58. Therefore, the ranking of the AA building becomes 53 (58-3), which increases the probability of being the final installation area. In other words, if a high-grade hospital is nearby or there is a hazardous facility, the probability of installing an air quality meter increases. In one embodiment, in the case of hazardous facilities, 10 points are deducted for type 1, 3 points for type 2, and 1 point for type 3 deducted. In the case of hospitals, 10 points are deducted for top hospitals, 3 points for general hospitals, 2 points for general/rehabilitation hospitals, and 1 point for oriental medicine hospitals. The standard for hospitals is, for example, 100 beds or more.

3 is a flowchart illustrating a method for designing a location of an air quality meter in a location design device according to an embodiment of the present invention.

Referring to FIG. 3 , in step S301 , the location design device 140 selects a plurality of installation candidate areas of the air quality meter. More specifically, the location design device 140 requests and receives facility construction information of a communication infrastructure in a predetermined area, for example, a specific building (eg, Seocho-dong) to the communication facility management system 110 , and receives the received facility Based on the construction information, areas where communication infrastructure is installed are selected as installation candidate areas. For example, the AA building in Seocho-dong where the base station is installed and the BB apartment in Seocho-dong where the repeater is installed are selected as installation candidate areas.

In step S302, the location design device 140 collects data of damage influence factors and centralized monitoring factors for each installation candidate region. Here, the damage impact factors include the total number of floating population, the number of vulnerable class floating population, the number of schools, the number of hospitals, and the hospital grade, and the intensive monitoring factors include the traffic volume at a specific time, the number of harmful facilities, and the harmful facility grade.

Specifically, the location design device 140 transmits information and time zone information of each installation candidate area to the communication company server 120 to request information of a communication subscriber located in the corresponding installation candidate area in the corresponding time zone and receive a response thereto. do. For example, the location design device 140 requests and receives information of a communication subscriber located in a radius of 500 meters from the AA building in Seocho-dong from 7:00 am to 22:00 from the communication company server 120 . Here, the information of the communication subscriber includes age and location information.

The location design device 140 processes the communication subscriber information and calculates the total number of floating populations, the number of vulnerable people, and the traffic volume in a specific time period for each installation candidate region. The total floating population is the total number of telecommunication subscribers located in the area, and the vulnerable population floating population is the number of people under the age of 20 and over the age of 60 among the total floating population. The traffic volume is the number of telecommunication subscribers moving at a predetermined speed, for example, 80 km/h or higher in a given area. Preferably, the location design device 140 may average the total number of floating population, the number of the vulnerable population, and the traffic volume over a certain period of time.

The location design device 140 transmits information of each installation candidate area to the geographic information system 130 to receive information on nearby schools, nearby hospitals, and nearby hazardous facilities in the installation candidate area, and based on this, each installation candidate Calculate the number of schools and hospitals and the number of hazardous facilities in the area, and also identify the hospital grade and hazardous facility grade.

In step S303, the location design device 140 calculates a damage impact score for each installation candidate region based on the data of the damage impact factors. Specifically, the location design device 140 calculates a grade for each of the total number of floating population, the number of vulnerable class floating population, the number of schools, and the number of hospitals for each installation candidate region, and gives a score according to the grade, and then each factor The weighted average of their scores is used as the damage impact score. In this case, the score calculation unit 230 calculates the grade of each factor by using the percentile of each factor in each installation candidate area based on the entire installation candidate area in calculating the grade of each factor in each installation candidate area.

In step S304, the location design device 140 calculates a score of the need for centralized monitoring for each installation candidate region based on the data of the centralized monitoring factors. Specifically, the location design device 140 calculates a grade for each of the traffic volume and the number of harmful facilities for each installation candidate region, gives a score according to the grade, and then calculates the weighted average of the scores of each factor as the intensive monitoring necessity score. do. At this time, the method of calculating the grade of each factor in each installation candidate area in the score calculation unit 230 and averaging the scores of each factor is the same as that of calculating the damage impact score described above.

In step S305, the location design device 140 calculates a comprehensive score by synthesizing the damage impact score and the intensive monitoring necessity score for each installation candidate region. Also at this time, the location design device 140 may calculate the overall score by averaging the damage impact score and the intensive monitoring necessity score.

In step S306, the location design device 140 finally determines an area in which the air quality meter is to be installed from among the installation candidate areas based on the ranking according to the overall score. For example, the top few installation candidate regions may be determined as final installation regions. In an embodiment, the location design device 140 may further apply a score according to a hospital grade in each installation candidate region and a score according to a harmful facility grade to the ranking of each installation candidate region. For example, the score according to the hospital grade and the score according to the hazardous facility grade are directly subtracted from the ranking. For example, if the AA building ranks 58th, and the nearby hospital of the AA building is a general hospital, the score 3 corresponding to the general hospital is subtracted from the rank 58. Therefore, the ranking of the AA building becomes 53 (58-3), which increases the probability of being the final installation area. In other words, if a high-grade hospital is nearby or there is a hazardous facility, the probability of installing an air quality meter increases. In one embodiment, in the case of hazardous facilities, 10 points are deducted for type 1, 3 points for type 2, and 1 point for type 3 deducted. In the case of hospitals, 10 points are deducted for top hospitals, 3 points for general hospitals, 2 points for general/rehabilitation hospitals, and 1 point for oriental medicine hospitals. The standard for hospitals is, for example, 100 or more beds.

4 is a view showing an installation position of an air quality meter according to an embodiment of the present invention, and shows Seodaemun-gu. After selecting a plurality of installation candidate areas for each dong in Seodaemun-gu, the overall score of each candidate installation area is calculated for each dong, and two or three final installation areas are selected for each dong according to the overall score. Therefore, there is only one national air quality meter in Seodaemun-gu, but a total of 23 air quality meters installed by the present applicant. The national air quality meter is installed in the center of Seodaemun-gu as shown in FIG. 4, but the installation location of the air quality meter according to the present invention is not in the center of each dong, and there are many areas with many vulnerable groups affected by fine dust and harmful facilities. Air quality meters are installed in high-traffic areas. Therefore, air quality meters are installed in practically important areas so that children and the elderly, who are vulnerable to fine dust, can respond preferentially.

While this specification contains many features, such features should not be construed as limiting the scope of the invention or the claims. Also, features described in individual embodiments herein may be implemented in combination in a single embodiment. Conversely, various features described herein in a single embodiment may be implemented in various embodiments individually, or may be implemented in appropriate combination.

Although acts have been described in the drawings in a specific order, it should not be understood that the acts are performed in the specific order as shown, or that all of the described acts are performed in a continuous order, or to obtain a desired result. . Multitasking and parallel processing can be advantageous in certain circumstances. In addition, it should be understood that the division of various system components in the above-described embodiments does not require such division in all embodiments. The program components and systems described above may generally be implemented as a package in a single software product or multiple software products.

The method of the present invention as described above may be implemented as a program and stored in a computer-readable form in a recording medium (CD-ROM, RAM, ROM, floppy disk, hard disk, magneto-optical disk, etc.). Since this process can be easily performed by a person skilled in the art to which the present invention pertains, it will not be described in detail any more.

The present invention described above, for those of ordinary skill in the art to which the present invention pertains, various substitutions, modifications and changes are possible without departing from the technical spirit of the present invention. It is not limited by the drawing.

110: communication facility management system
120: carrier server
130: geographic information system
140: position design device
150: communication network
210: candidate area selection unit
220: data collection unit
230: score calculation unit
240: decision part

Claims (15)

In the position design device for designing the installation position of the air quality meter,
a candidate area selection unit for selecting a plurality of installation candidate areas of the air quality meter;
a data collection unit that collects data of damage impact factors and centralized monitoring factors for each installation candidate region;
A damage impact score is calculated for each installation candidate region based on the data of the damage influence factors, and a intensive monitoring necessity score is calculated for each installation candidate region based on the data of the centralized monitoring factors, and the a score calculation unit for calculating a comprehensive score by synthesizing the damage impact score and the intensive monitoring necessity score; and
and a determining unit for finally determining an area in which an air quality meter is to be installed among the plurality of installation candidate areas based on the overall score. The method of claim 1,
The candidate area selection unit,
It is a communication facility management system that manages facility construction information of communication infrastructure by requesting and receiving facility construction information in a predetermined area, and selecting regions where communication infrastructure is installed as the plurality of installation candidate regions based on the received facility construction information. Position design device characterized by. 3. The method of claim 2,
The damage influence factors are,
including the total number of floating populations, the number of vulnerable populations, the number of schools and hospitals;
The score calculation unit,
A location design device, characterized in that after calculating a grade for each damage impact factor and assigning a score according to the grade, the score of the damage impact factor is weighted and averaged to calculate the damage impact score. 4. The method of claim 3,
The data collection unit,
A location design device, comprising receiving age information of communication subscribers for each installation candidate region from a communication company server, and calculating the total floating population and the vulnerable class floating population based on the age information of the communication subscribers. 4. The method of claim 3,
The centralized monitoring factors are
including the traffic volume and the number of hazardous facilities at a specific time;
The score calculation unit,
A location design device, characterized in that after calculating a grade for each centralized monitoring factor and assigning a score according to the grade, the scores of the centralized monitoring factors are weighted and averaged to calculate the centralized monitoring necessity score. 6. The method of claim 5,
The data collection unit,
A location characterized in that receiving location information of communication subscribers in a specific time zone for each installation candidate region from a communication company server, and calculating the number of communication subscribers moving at a predetermined speed or more based on the location information as the traffic volume in the specific time zone design device. 7. The method of claim 6,
The determining unit is
Location design device, characterized in that the score according to the hospital grade in each installation candidate region and the score according to the harmful facility grade are further applied to the ranking according to the overall score for each installation candidate region. A method for designing an installation location of an air quality meter,
selecting a plurality of installation candidate areas of the air quality meter;
collecting data of damage impact factors and centralized monitoring factors for each installation candidate region;
A damage impact score is calculated for each installation candidate region based on the data of the damage influence factors, and a intensive monitoring necessity score is calculated for each installation candidate region based on the data of the centralized monitoring factors, and the calculating a comprehensive score by synthesizing the damage impact score and the intensive monitoring necessity score; and
and finally determining an area in which an air quality meter is to be installed among the plurality of installation candidate areas based on the overall score. 9. The method of claim 8,
The selecting step is
It is a communication facility management system that manages facility construction information of communication infrastructure by requesting and receiving facility construction information in a predetermined area, and selecting regions where communication infrastructure is installed as the plurality of installation candidate regions based on the received facility construction information. How to characterize. 10. The method of claim 9,
The damage influence factors are,
including the total number of floating populations, the number of vulnerable populations, the number of schools and hospitals;
The step of calculating the overall score includes:
A method comprising calculating a rating for each damage impact factor, assigning a score according to the grade, and then calculating a damage impact score by averaging the scores of the damage impact factors. 11. The method of claim 10,
The collecting step is
Receiving age information of communication subscribers for each installation candidate region from a communication company server, and calculating the total floating population and the vulnerable class floating population based on the age information of the communication subscribers. 11. The method of claim 10,
The centralized monitoring factors are
including the traffic volume and the number of hazardous facilities at a specific time;
The step of calculating the overall score includes:
Computing a grade for each centralized monitoring factor, assigning a score according to the grade, and then averaging the scores of the centralized monitoring factors to calculate a centralized monitoring necessity score. 13. The method of claim 12,
The collecting step is
Receiving location information of communication subscribers in a specific time zone for each installation candidate region from a communication company server, and calculating the number of communication subscribers moving at a predetermined speed or more based on the location information as the traffic volume in the specific time zone How to characterize. 14. The method of claim 13,
The determining step is
Method characterized in that the score according to the hospital grade in each installation candidate area and the score according to the hazardous facility grade are further applied to the ranking according to the overall score for each installation candidate region. A computer program recorded on a recording medium as a computer program for executing the method according to any one of claims 8 to 14 through a computer system.

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