KR101369764B1 - System for forecasting change of u-city - Google Patents

Abstract

The present invention relates to a system for predicting a change in a U-city and, more particularly, to a system for predicting a change in a plurality of properties managed in a U-city. The system comprises: an information collecting unit for collecting pre-built information data from an information database for the properties through the Internet; an information classifying unit for classifying the information data for the properties collected from the information collecting unit according to each of properties; a city information database for respectively storing the information data for the properties classified by the information classifying unit; a change index database for setting and storing a change index for data, which changes according to time, among data for the properties stored in the city information database; a simulation processing unit for reading data stored in the city information database and the change index database, applying the change index to the city information, and predicting a change; and a display unit for displaying, to the outside, the results simulated by the simulation processing unit. Accordingly, various futures can be predicted on the basis of historical data on architecture, civil engineering, transportation, population, health, and environment, about the city, thereby efficiently planning the city and having a great help in accurately deciding on various city policies. [Reference numerals] (10) Information collecting unit; (100) Display unit; (110) Statistical DB; (20) Information classifying unit; (30) City information DB; (40) 3D GIS module; (50) Change index DB; (60) Simulation processing unit; (70) Output processing unit; (80) Simulation data storage DB; (90) Manipulation unit; (AA) Internet; (BB) Camera; (CC) Measurement device

Description

U-City change prediction system {SYSTEM FOR FORECASTING CHANGE OF U-CITY}

In the U-CITY system, the U-CITY system establishes a U-City model for a real city and reflects various factors such as architecture, civil engineering, traffic, population, medical care, environment, etc. The present invention relates to a change prediction system for u-city that enables prediction of a change in a city according to the present invention.

Ubiquitous refers to an environment where users can freely access the network regardless of the location of the computer or network. By inserting a computer into any device or object such as a car, a refrigerator, glasses, a clock, and a stereo device, Information technology (IT) environment or information technology paradigm that enables communication. With this ubiquitous network, information technology can be used not only in homes and cars, but even on top of the mountain, and the number and number of computer users connected to the network will increase the size and scope of the information technology industry.

U-City, which can further improve human living culture by applying the above ubiquitous technology to the entire city, has security / disaster prevention, GIS (Georaphic Information System), public facilities management, Public services such as environmental monitoring, road / traffic management, security / disaster prevention can be provided.

As a conventional technology for constructing such a U-City, a city integrated control system (Korean Patent Registration No. 1036459) is disclosed. Briefly described with reference to Figure 1 for the integrated city control system as follows.

The above technology relates to a city integrated control system for operating and managing a ubiquitous city, wherein photographing means are installed throughout the city to collect city information, and the collected information is transmitted to the central control unit, thereby providing time, area, and image characteristics. It is related to the city integrated control system in which the separated information is stored in the database, and the separated information is output to the integrated situation part so that the monitoring personnel can easily monitor the city information.

As illustrated in FIG. 1, the monitoring unit 100 is installed throughout the city, information about an image of a corresponding region is collected, and the information collected by the monitoring unit 100 is transmitted to the monitoring control unit 200. The information transmitted to the monitoring control unit 200 is converted into a standardized data format and transmitted to the central control unit 300, and the photographed image among the information transmitted to the central control unit 300 is local, time and image characteristics. Separated and stored in the database 340, the separated and stored information is transmitted to the integrated situation unit 400, the information is monitored in the integrated situation unit 400, the interlocking unit 500 to the central control unit 300 Is connected, the information of the external organization 600 through the interlocking unit 500 is received by the central control unit 300, the arrangement information of the information of the external organization 600 is transmitted to the central control unit 300 If the vehicle is compared with the vehicle information stored in the database 340 Surface, is characterized in that the event signal is sent to the integrated status unit 400.

The above technology has the effect of easily and efficiently managing the entire city by monitoring the city through the overall monitoring of the city and providing information to the integrated situation unit when an event such as an arranging vehicle occurs.

In addition, another conventional technology is disclosed "U-City Information Integrated Broadcasting System (Korean Patent Publication No. 2010-0113752)", which will be briefly described with reference to FIG.

The U-City information integrated broadcasting system stores information collected from ubiquitous sensor networks such as various sensors, cameras, and measuring devices installed in u-City in a server of the central information operation center, and is stored in a server of the central information operation center. Producing system and cable for producing broadcasting contents based on various information such as information, air pollution information, weather information, traffic information, life information, u-city news, administrative information, guide and tourism information, education information, medical information, etc. And a broadcast terminal capable of selecting and interacting with a wireless broadcast transmitter.

Specifically, information collected from ubiquitous sensor networks such as various sensors, cameras, and measuring devices installed in u-City is stored in the server of the central information operation center, and environmental information, air pollution information, and weather stored in the server of the central information operation center. Produce contents for various broadcasting needs of u-city citizens and visitors based on various information such as information, traffic information, life information, u-city news, administrative information, guide and tourism information, education information, medical information, etc. And a u-city broadcasting data producing unit capable of converting at least one or more contents needed by the receivers from various produced contents into a broadcasting signal, and a wired and wireless digital broadcasting transmitting unit. -City information integrated broadcasting system can be configured.

The U-City information integrated broadcasting system collects and stores information from ubiquitous sensor networks and IT devices such as various sensors and measuring devices installed in u-City to u-City citizens and u-City visitors. In order to efficiently provide information only for u-city, it has an object and effect to provide a u-city information integrated broadcasting system that can transmit information in the u-city by wireless and cable broadcasting.

However, all the prior art described above is limited to providing only information on the current situation as providing various information to the city surveillance or citizens by utilizing various information collected in real time throughout the city.

In addition, when urban management is limited to the present, it is difficult to predict various changes that can occur over time in the city, and it is also difficult to predict the various futures of the city such as architecture, civil engineering, transportation, population, medical care, and environment. There is a problem that it is difficult to make an accurate decision on policy decisions.

Therefore, the technical problem to be achieved by the present invention is to set the change index over time based on historical data on various variables, such as architecture, civil engineering, transportation, population, medical care, environment, etc. It is to provide a U-City change prediction system that can simulate predictions for various futures based on the index.

The change prediction system of u-city for achieving the above technical problem is a system for predicting the change of a plurality of attributes managed in the u-city, and is already built from the information database for the plurality of attributes through the Internet. Information collecting means for collecting the information data present; information information means for classifying the information data relating to the plurality of attributes collected from the information collecting means according to each attribute; and the plurality of information classified by the information classification means. A city information database for storing information data relating to an attribute, a change index database for setting and storing a change index for data that changes with time among a plurality of attribute data stored in the city information database, and the city information database And stored in the change index database And processing means for predicting a change by applying the change index to the city information by reading the data, and display means for externally displaying the result simulated by the simulation processing means.

In the present invention, the plurality of attributes are preferably at least one of construction, civil engineering, transportation, population, citizens, medical care, disasters, and the environment.

In the present invention, the information collecting means, characterized in that directly connected to any one or more of the RFID / USN, sensors, cameras, measuring equipment.

In the present invention, it is preferable that the U-city change prediction system further includes a 3D GIS module which is software that is constructed in three dimensions and provides GIS (Georaphic Information System) information.

In the present invention, the change prediction system of the u-city further comprises a simulation data storage database for storing both the initial value of the initial change and the simulation result value after the change executed by the simulation processing means. It features.

In the present invention, the city information database is a building / civil engineering DB (30a) for storing data about buildings, such as houses, apartments, buildings and civil works such as roads, bridges, tunnels, traffic volume, vehicle registration information Traffic DB (30b) that stores data on vehicle information, vehicle average speed, signaling system, etc., and citizen DB (e.g., population, gender, age, occupation, characteristics, disease status, crime status, etc.) 30c), and an environment DB 30d that stores data on average weather status, average rainfall, flooding risk area, disease occurrence status, health status, medical expenses total expenditure status, and the like.

In the present invention, the change index database is a building / civil engineering that quantifies the change amount numerically with respect to data in which changes are made over time among the building / civil engineering data, traffic data, citizen data, and environmental data stored in the city information database. It is preferable to include the water change index DB 50a, the traffic change index DB 50b, the citizen change index DB 50c, and the environment change index DB 50d.

According to an aspect of the present invention, since it is possible to make predictions about various futures based on historical data on construction, civil engineering, transportation, population, medical care, environment, etc., the city can be efficiently planned and various urban policies. There are also effects that can be very helpful in making accurate decisions.

According to another aspect of the present invention, it is possible to prepare for future risks in advance by executing simulations for specific disaster occurrence issues in cities, so that safety management of cities can be more effectively performed.

1 is a block diagram illustrating a prior art city integrated control system.
2 is a block diagram illustrating a prior art u-city information integrated broadcasting system.
3 is a block diagram of a change prediction system of u-city according to the present invention;
4A is a detailed database structure diagram of the city information DB of FIG. 3.
Figure 4b is a detailed database structure diagram for the change factor DB of FIG.
5 is an exemplary view showing a simulation result according to the first embodiment of the present invention.
6 is an exemplary view showing a simulation result according to a second embodiment of the present invention.
7 is an exemplary view showing a simulation result according to a third embodiment of the present invention.
8 is an exemplary view showing a simulation result according to a fourth embodiment of the present invention.
FIG. 9 is another block diagram for explaining FIG. 3. FIG.

Hereinafter, the present invention will be described in detail with reference to examples, and detailed description will be made with reference to the accompanying drawings to help understand the present invention. However, the embodiments according to the present invention may be modified in various other forms, and the scope of the present invention should not be construed as being limited to the embodiments described below. Embodiments of the present invention are provided to more clearly and easily describe the present invention to those skilled in the art. Like reference numerals in the drawings refer to like elements.

3 is a block diagram of a change prediction system of u-city according to the present invention. Referring to FIG. 3, a change prediction system of the present invention, the U-City, will be described through various information collecting means such as radio frequency identification (RFID), a sensor, a camera, a measuring device, and the like that form ubiquitous sensor networks. Collected measured data, and the site where various statistical data are accumulated through the Internet, for example, National Statistical Portal (www.kosis.kr), Statistics Korea (www.kostat.go.kr), Ministry of Health and Welfare statistics portal (stat. mw.go.kr), Bank of Korea Economic Statistics System (ecos.bok.or.kr), National Maritime Statistics Statistics (stat.mltm.go.kr), Educational Statistics Service (cesi.kedi.re.kr) Information collection unit (10) for accessing a database (statistics DB 110) of various public institution sites and collecting information on various construction, civil engineering, traffic, population, medical care, environment, etc. about the actual city corresponding to u-city. And various data collected from the information collection unit 10. From the information classifier 20 and the information classifier 20 which classify data necessary for predicting the change of u-city, such as architecture, civil engineering, transportation, population, medical care, environment, etc. according to each property, according to each property. According to the characteristics of each type of classified information, for example, building / civil engineering data for building / civil engineering data, building / civil engineering DB for traffic information, transportation data for transportation DB, various personal information for citizens, Data such as statistical information includes a city information DB (30) for storing data collected through the information collection unit 10, such as environmental DB, the data such as citizen DB, weather, rainfall, medical status . The city information DB 30 may be stored through separate processing in the case of information that cannot be obtained through the information collecting unit 10 and information that needs to be processed offline in addition to the open site.

The U-City change prediction system also includes a 3D GIS module 40 which is software for providing GIS (Geographic Information System) information constructed in three dimensions, and various kinds of information classified and stored in the city information DB 30. The change index DB 50 which quantifies the change index with respect to the information which changes with time, from the city information DB 30, the 3D GIS module 40, and the change index DB 50 to a specific attribute of a city. It further includes a simulation processing unit 60 for simulating the change for traffic, disaster, population, environment, and the like. In the above, 3D GIS refers to information that is similar to the real world by adding height (depth) to the existing two-dimensional geographic information, creating a three-dimensional map, and adding image information and attribute information (GPS coordinates, etc.) to the three-dimensional space. When information-enabled 3D map is constructed, it can be combined with various fields such as administrative work, urban planning, road traffic, security and disaster, and disasters. The 3D GIS module 40 may use, for example, 3D GIS module of S-ri Korea as software.

In addition, in the change index DB 50, information that changes with time among the information according to various characteristics stored in the constructed city information DB 30, such as building life span, citizen life span, population growth rate, automobile Quantify and store information about growth rate, traffic growth rate, etc.

And, the simulation processing unit 60 is based on the 3D GIS information read from the 3D GIS module 40 according to the scenario to simulate the change in the city, GPS information, address information and accordingly city information DB Data according to various locations stored in (30), for example, in the case of apartments combine data such as vehicle registration information, number of inhabitants, age, gender, etc. for each household, and in the case of data changes are made from the change index (50) Apply the change index to simulate the desired result.

In addition, the U-City change prediction system may display a simulation data storage DB (80) for storing the initial value before the simulation processing unit 60 and the result value after the simulation, and the simulation processing result An output processor 70 for outputting an output signal according to a processing method of a result such as an image, an audio, a text, a display unit 100 for displaying the output signal output from the output processor 70, and the present invention. -Further comprising an operation unit 90 for manipulating the overall drive of the change prediction system of the city, in particular for carrying out commands for the scenario to be simulated.

The above-described block diagram of the U-city change prediction system illustrated in FIG. 3 may also be expressed as a block diagram of the type shown in FIG. 9 according to an embodiment.

The city information DB 30 will now be described in detail with reference to FIG. 4A.

4A is a detailed database structure diagram of the city information DB according to the present invention. Referring to FIG. 4A, the city information DB 30 will be described in detail. In general, the important elements constituting the city are broadly divided into humans such as buildings, civil works, transportation, citizens, climate, diseases, and medical care. The environment that has a close impact on life can be seen as an important factor. Thus, in the present invention, the city information DB 30 is divided into four databases. That is, the building / civil engineering DB (30a) that stores data about the buildings, such as houses, apartments, buildings constituting the city and the civil works, such as roads, bridges, tunnels, traffic volume, vehicle registration information, vehicle information, vehicles Traffic DB 30b, which stores data on average speed, signal system, etc., citizen DB 30c, which stores population number, gender, age, occupation, characteristics, disease status, crime status, etc. It consists of an environment DB (30d) that stores data on weather conditions, average rainfall, flooding risk areas, disease outbreaks, health conditions, and total medical expenses.

In addition, the change index DB 50 will be described in detail with reference to FIG. 4B as follows.

4b is a detailed database structure diagram of the change index DB according to the present invention. Referring to FIG. 4B, the change index DB 50 will be described in detail. The change index DB 50 includes a building / civil works DB 30a, a traffic DB 30b, and a citizen constituting the city information DB 30. In the case of buildings such as houses, apartments, and buildings stored in the building / civil engineering change index DB 50a, which is a quantified numerical value of the data stored in the DB 30c and the environment DB 30d. The change index is calculated based on the lifetime. For example, if the life span of a house is 50 years, the year of completion is 50/50 = 1, after 10 years, 40/50 = 0.8, and after 40 years, 10/50 = 0.2. In the case of civil works such as roads, bridges, and tunnels, the change index is calculated in the same manner.

In the case of the traffic change index DB 50b, the change index regarding the traffic volume, vehicle registration information, vehicle information, vehicle average speed, signal system, etc. stored in the traffic DB 30b is stored. As the traffic volume increases, the change index is 1.1, and if the rate decreases by 5% each year, the change index is 0.95. The average speed of the vehicle is 0.95 if it decreases by 5% every year. However, in the case of vehicle registration information, vehicle information, and signal system, data is not stored in the traffic change index DB 50b because it is status information about vehicles not related to the change.

In the case of the citizen change index DB 50c, the change index of the population, gender, age, occupation, characteristics, disease status, crime status, etc. for the citizens stored in the citizen DB 30c is stored. The elderly population growth rate, disease growth rate, specific disease growth rate, crime growth rate, etc. are stored. For example, if the population growth rate is 10% each year, the change index is 1.1, and if the elderly population growth rate is 20%, the change index is 1.2.

In the case of the environmental change index DB 50d, the change index for the average weather status, average rainfall, flooding risk area, disease occurrence status, health status, and total medical expenditure status stored in the environmental DB 30d is stored. It stores the average rate of increase in precipitation, the rate of increase for disasters such as floods, landslides, typhoons, and heavy snow, as well as the overall rate of increase in medical costs. For example, if the increase rate of precipitation is 5%, the change index is 1.05.

The building / civil engineering change index DB 50a, the traffic change index DB 50b, the citizen change index DB 50c, and the environment change index DB 50d are based on information continuously collected from the information collecting unit 10. As it is updated periodically by the year, various indexes are changed as statistics are updated every year, so it is effective as a change index at the time of simulation.

In addition, although the city information DB 30 and the change index DB 50 described above have been classified into four types of architecture / civil works, transportation, citizens, and environment in the present invention, the city change DB may be changed according to embodiments of those skilled in the art. You can add the databases you need to make predictions and vice versa. In addition, the classification form of the database can be variously implemented according to the classification method of those skilled in the art.

Meanwhile, in the case of data about an object fixed at a certain position among data stored in the city information DB 30 of the present invention, for example, an object, such as a house, an apartment, a building, a road, a river, a mountain, etc. may be identified with a unique location. GPS coordinates can be matched and stored, and the GPS coordinates are stored in association with the GPS coordinates of each object built in the 3D GIS module 40, or the GPS coordinates are collected when the information collection unit 10 collects data. If included, you can use it.

Hereinafter, a specific embodiment of the U-city change prediction system having the above configuration will be described.

In the first embodiment, a new apartment (e.g. 3000 households) located in the S, G, B, C, and R roads is 30% occupied at the start of the sale after construction is completed after two years. A case of simulating the change in the traffic volume of the surrounding roads according to the occupancy rate of 100% after 60% and about 2 years will be described with reference to FIG. 5. 5 is an exemplary view showing a simulation result according to the first embodiment of the present invention.

Referring to FIGS. 3, 4A, 4B, and 5, the information collecting unit 10 may analyze the number of vehicles for the S region, the average vehicle holding capacity per household, the road status, and the apartment status from the statistics DB 110. The number of vehicles and the average vehicle holding status per household from the traffic DB 30b among the city information DB 30 stored by collecting data, and the road status and apartment status data for the S area from the building / civil engineering DB 30a Is output to the simulation processing unit 60. In addition, the simulation processing unit 60 simulates the current road condition as shown on the left side of FIG. 5 based on the data output from the 3D GIS module 40 and the city information DB 30. In addition, it is possible to grasp the current traffic volume of the current road from the city information DB (30). In other words, 30% of the roads used by A, B, C, and D are currently used, and an average of 200 vehicles per minute pass. This result data is stored as the simulation initial value in the simulation data storage DB (80).

Then, if the simulation processing unit 60 first simulates the traffic volume prediction when the A apartment is completed and the occupancy rate is 30% at the start of the sale, the simulation processing unit 60 reads out the average vehicle holding status per household from the traffic DB 30b. The vehicle growth rate is read from the traffic change index DB 50b among the change index DB 50. For example, if the average number of vehicles per household is 1.5 and the vehicle growth rate is 2% or 1.02 per year, 900 households move in if 30% of the 3,000 households move in, and it is estimated that 900 ㅧ 1.5 = 1,350, or 1,350 units.

Therefore, the simulation processing unit 60 can predict what results will be generated for a, b, d, and d roads by applying the increase of 1,350 to the current road simulation results. In other words, if there are more than 200 cars per minute for existing a, b, d, and d roads, and the increase in traffic volume of 1,350 vehicles occurs, the road directly affected by the new A apartment is b, d, d. The increase in traffic volume of 1,350 vehicles is affected and applied to the existing traffic volume, the simulation processing unit 60 outputs the final simulation result as the traffic volume of 10% is increased for the b, d, and d roads, and the result is stored in the simulation data. The result is stored in the DB 80.

If we simulate the traffic forecast when 60% is reached, 60% of the 3,000 households will have 1800 households, which will increase 1800 * 1.5 = 2,700, or 2,700 net vehicles. In addition, when the occupancy exceeds 50%, one year after the average occupancy, it is expected that 2,700 * 1.02 = 2,754, or 2,754 vehicles will increase when the annual vehicle growth rate is 2%, or 1.02.

Therefore, if the simulation processing unit 60 applies this increase of 2,754 units to the current road simulation result, the simulation processing unit 60 outputs the final simulation result as, for example, the traffic volume of 16% is increased for the b and d roads. This result is stored in the simulation data storage DB 80 as a result value.

Similarly, when 100% is reached, the simulation processing unit 60 calculates the time point two years after moving in, and increases the number of 4,682 vehicles. The result is stored in the simulation data storage DB 80 as a result value.

The traffic increase rate according to the occupancy rate can be calculated in consideration of the increase in the total number of vehicles owned by the minute based on the traffic volume per minute of the total number of vehicles held in the region.

The simulation result is finally displayed on the screen through the display unit 100 via the output processor 70 to inform the person requesting the simulation result.

Simulation results can also predict more accurate results year after year as each database is upgraded annually and valid data continues to accumulate in U-City's change prediction system.

Hereinafter, a second embodiment of simulating the flooding of houses and shopping malls when the local rainfall falls in the S region when the precipitation is at least 10 mm to 200 mm per minute will be described with reference to FIG. 6. 6 is an exemplary view showing a simulation result according to a second embodiment of the present invention.

Referring to FIGS. 3, 4A, 4B, and 6, the information collecting unit 10 is configured from the statistics DB 110 to the building information for the S region, road information, the location and capacity of the sewerage system, and local rainfall per minute. Simulation of the road status, housing, mall status, sewer installation location and capacity data for the S region from the building / civil engineering DB 30a of the city information DB 30, which collects and stores rainfall and flooding status information, 60). In addition, the data is output to the simulation processing unit 60 from the environment DB (30d), the average rainfall for the S region, the flooding status when the local heavy rain occurs, the flooding level. Then, the simulation processing unit 60 simulates the current road, the mall, the current state of the house, as shown on the left side of Figure 6 based on the data output from the 3D GIS module 40 and the city information DB 30, In case of localized heavy rains, ① wet roads, ② residential areas, ③ commercial areas are displayed, and the result data is stored as simulation initial values in the simulation data storage DB 80.

Then, if the simulation processing unit 60 first simulates the case of 10 mm of precipitation per minute in the S region, the simulation processing unit 60 reads out the data about the past immersion position and the immersion level for the S region from the environment DB (30d) and The simulation result screen as shown in the right side of FIG. 6 is inputted by receiving the result value for the case where the precipitation per minute is 10 mm and interlocking the result value for the case where the precipitation per minute is 10 mm from the 3D GIS module 40 to the graphic screen for the corresponding position. Outputs

And, if the simulation for the case where the rainfall per minute for the S area is 100mm, the simulation processing unit 60 reads the data about the past inundation location and the flooding level for the S area from the environment DB (30d) and the precipitation per minute is 100mm The result value for the case is input and the simulation result screen as shown in the right side of FIG. 6 is output by interlocking the result value for the case of 100 mm of precipitation per minute from the 3D GIS module 40 on the graphic screen of the corresponding position.

Similarly, the simulation result screen as shown in the right side of FIG. 6 is output also in the case of 150 mm per minute. As can be seen in Figure 6 it is simulated that the lowland submersion is expected at 150mm per minute.

In the past, however, if 150 mm / min was the maximum precipitation, a realistic forecast would be needed for 200 mm / min. In this case, the simulation processing unit 60 is the actual water level for the case of 200mm per minute based on the historical immersion data and the sewage throughput for ① road, ② residential area, ③ mall area, and the actual ground structure read out from the 3D GIS module 40. Can be predicted. Based on the read data, the simulation processing unit 60 calculates the actual water level by executing calculations based on the amount of 200 mm per minute, the correlation with the sewage treatment, and the capacity of the actual ground where the overflowed amount can be filled. 6, the simulation result screen is output as shown in FIG. 6, and as shown in FIG. 6, in the case of 200 mm per minute, it is simulated that the flooding of the lower part of the house and the mall is expected.

All the data passed through the simulation result is stored in the simulation data storage DB 80 as a result value, and the simulation result is finally displayed on the screen through the display unit 100 via the output processor 70 to request a simulation result. You will be notified of the result.

In addition, simulation results, like traffic forecasts, can be predicted more accurately over the years if each database is upgraded annually and valid data continues to accumulate in U-City's change prediction system.

Hereinafter, with reference to FIG. 7, a third embodiment of simulating viral disease incidence when precipitation is greater than 200 mm / min when local heavy rain falls in S region is caused. 7 is an exemplary view showing a simulation result according to a third embodiment of the present invention.

Referring to FIGS. 3, 4A, 4B, and 7, as described in the second embodiment, the simulation was performed for the flooded area from 10 mm to 200 mm per minute, and the submersion for the case of 200 mm per minute from this. Predict area. In addition, it is possible to simulate the occurrence of diseases such as viral diseases (diarrhea, abdominal pain) that commonly occurs in flooded areas.

That is, the information collecting unit 10 simulates data on the average precipitation of the S region from the environment DB 30d of the city information DB 30, the flooding status when a local heavy rain occurs, and the incidence of viral diseases in the flooded region. Output to (60).

The simulation processing unit 60 may collect data upon flooding by 150 mm per minute of precipitation from historical data stored in the environment DB 30d. That is, as shown on the right side of FIG. 7, the onset of the two or three residences and the inhabitants of the mall was performed as information on the virally ill person (diarrhea and abdominal pain) during 2009-July 2011, with an average of about 400 people per month. If it is shown that the treatment in the medical institution, the simulation processing unit 60 should be predicted for the case of 200mm per minute.

Since the result value predicted in the second embodiment is stored in the simulation data storage DB 80, the simulation processor 60 reads the result value and checks how much the flooded area is increased. If the confirmed data has increased more than three times the flooded area compared to 150mm per minute, the simulation processing unit 60 may output more than 1200, three times the monthly average of about 400 people as a predicted result. That is, as can be seen in the right side in Figure 7, it is simulated that more than three times the number of viral diseases is increased in the case of 200mm per minute.

All the data passed through the simulation result is stored in the simulation data storage DB 80 as a result value, and the simulation result is finally displayed on the screen through the display unit 100 via the output processor 70 to request a simulation result. You will be notified of the result.

In addition, as in the predictions of the first and second embodiments described above, the simulation results can predict more accurate results over the years if each database is upgraded every year and valid data continues to accumulate in the U-city change prediction system.

In addition, the fourth embodiment will be described with reference to FIG. 8 in the case of simulating whether there is a problem in safety management of ① housing area, ② housing area, and ③ apartment building after 10 years among buildings in S area. 8 is an exemplary view showing a simulation result according to a fourth embodiment of the present invention.

Referring to FIGS. 3, 4A, 4B, and 8, the information collecting unit 10 collects and stores data on the building status of the S area from the statistics DB 110 and stores the city information DB ( The building year data of the ① housing area, ② housing area, and ③ apartment area of the S area is outputted to the simulation processing unit 60 from the building / civil engineering DB 30a of 30). In addition, the simulation processing unit 60 reads the service life of the building from the data output from the 3D GIS module 40 and the city information DB 30 and the building / civil engineering change index DB 50a. For example, data such as 50 years of housing, 30 years of apartments, and other 30 years are read and based on this, the current building status is simulated as shown on the left side of FIG. 8. For example: ① The construction year of a residential area is 1950, ② The construction year of a residential area is 1970, ③ The construction year of an apartment is 1970 Since it is a safety management target, it is displayed in red. The simulated result data is stored as a simulation initial value in the simulation data storage DB (80).

Then, the simulation processing unit 60, the apartment 50 years, the age of use of the building read from the building / civil engineering change index DB (50a) in order to simulate what is the object of safety management when 10 years have passed In the same year, the housing area, which was built in 1970 in 3022 and other 30 years, also passed the 50-year-old life of the house. Therefore, the simulation processing unit 60 not only applies to ① housing area and ③ apartment, but ② also to the housing area. Output the final simulation results in red. This result is stored in the simulation data storage DB 80 as a result value.

The simulation result is finally displayed on the screen through the display unit 100 via the output processor 70 to inform the person requesting the simulation result.

In addition, as in the predictions of the first to third embodiments described above, the simulation results can predict more accurate results as the year goes on, if each database is upgraded every year and valid data is continuously accumulated in the U-city change prediction system.

As described above, the U-city change prediction system according to the present invention can predict various futures based on historical data on construction, civil engineering, transportation, population, medical care, environment, etc., so that city planning can be efficiently performed. It can be a great help in making accurate judgments in various city policy decisions.

In addition, it is possible to prepare for future risks by running simulations for specific disaster occurrence issues.

In the above described with reference to the accompanying drawings, preferred embodiments of the present invention in detail. However, embodiments of the present invention may be variously modified or applied by those skilled in the art, the scope of the technical idea according to the present invention should be determined by the claims below. will be.

10: information collecting unit 20: information classifier
30: City information DB 30a: Architecture / Public Works DB
30b: Transportation DB 30c: Citizen DB
30d: Environment DB 40: 3D GIS Module
50: change index DB 50a: construction / civil engineering change index DB
50b: Traffic Change Index DB 50c: Citizen Change Index DB
50d: environmental change index DB 60: simulation processing unit
70: output processing unit 80: simulation data storage DB
90: operation unit 100: display unit
110: Statistics DB

Claims (7)

In the system for predicting changes to a plurality of attributes managed in the U-City,
Information collecting means for collecting information data already established from the information database on the plurality of attributes through the Internet;
Information classification means for classifying information data relating to the plurality of attributes collected from the information collecting means according to each attribute;
Building / civil engineering DB (30a) for storing GPS coordinate data for buildings such as houses, apartments, buildings and civil works such as roads, bridges, tunnels among the plurality of attributes classified by the information classification means, and traffic volume Traffic DB (30b) that stores traffic data such as vehicle registration information, vehicle information, vehicle average speed, and signaling system, population number, gender, age, occupation, characteristics, disease status, crime status and Citizen's DB (30c) that stores data on the same citizen's identity, and an environment that stores data on the civil environment such as average weather conditions, average rainfall, flooding risk areas, disease outbreaks, health status, and total medical expenses. A city information database including a DB 30d,
Building / civil engineering change index DB (50a) quantified the change amount as a change index for the data that changes over time among the building / civil engineering data, traffic data, citizen data, environmental data stored in the city information database, and traffic A change index database including a change index DB 50b, a citizen change index DB 50c, and an environment change index DB 50d;
Simulation processing means for reading and applying the data stored in the city information database, or in the case of data that changes in time, by reading and applying the change index from the change index database;
A simulation data storage database for storing both an initial value before simulation and a result value after simulation performed by the simulation processing means;
Display means for displaying the results simulated by the simulation processing means to the outside;
3D GIS module is a software that is built in three dimensions and provides GIS (Georaphic Information System) information.
Including,
The plurality of properties are at least one of construction, civil engineering, transportation, population, citizens, medical care, disasters, environment,
And the city information database and the change index database are upgraded each time the simulation processing means executes the change prediction so as to execute the change prediction with the latest data.
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