KR102076595B1 - System and method for providing realtime rainfall information using vehicle rainsensor bigdata - Google Patents

Abstract

The present invention relates to a method and system for providing real time precipitation information based on vehicle rain sensor bigdata. According to the present invention, the method for providing real time precipitation information based on vehicle rain sensor bigdata includes the following steps: collecting vehicle rain sensor data from a plurality of vehicle terminals; storing the collected vehicle rain sensor in a bigdata storage; and analyzing precipitation by analyzing the collected vehicle rain sensor data based on a predetermined precipitation analysis algorithm. The vehicle rain sensor data can include a rain sensor signal value, vehicle position information and a data generation time. To obtain the precipitation analysis algorithm, a wiper operation moment is sensed based on a sensor signal value outputted from a rain sensor of a vehicle in a preset artificial rain environment, a difference of the sensor signal value before and after the wiper operation moment, and analysis on a correlation between the difference of the sensor signal value and precipitation in the preset artificial rain environment is conducted.

Description

Vehicle rainfall sensor big data based real time rainfall information providing method and system {SYSTEM AND METHOD FOR PROVIDING REALTIME RAINFALL INFORMATION USING VEHICLE RAINSENSOR BIGDATA}

The present invention relates to a method and a system for providing real-time rainfall information based on vehicle rainfall sensor big data.

Recently, various disasters caused by local torrential rain have become an issue, and local torrential rain refers to a phenomenon in which it rains intensively in a specific area, and it is difficult to predict rainfall probability due to an unexpected occurrence. Summer precipitation in Korea increased gradually to 598mm in the 1970s, 657mm in the 1980s, 697mm in the 1990s, and 768.7mm in the 2000s. In the 2000s, the average precipitation increased by 1.27 times in the 2000s. This means that the frequency of local torrential rains has increased, and the rainfall during heavy rains has increased. Rainfall stations provided by the Korea Meteorological Administration are difficult to observe locally and locally-falling rainfall because rainfall in the region reaching a few Km is determined by the influence of one station due to the low density of rainfall networks.

However, when the installation point of the ground rainfall meter is not sufficiently dense as described above, there is still a problem of not guaranteeing the data accuracy.In order to solve this problem, the installation / operation cost of the meter is excessively set. There is a problem that the economy is lowered, and space consumption can not be excluded. Due to these problems, there was a limit in grasping the recent local weather situation.

Therefore, there is a demand for a method capable of economically operating the system and providing rainfall information that can guarantee the accuracy of the data.

Korean Patent Publication No. 2014-0062788 (published date: May 26, 2014)

Therefore, the technical problem to be solved by the present invention is to provide a method and system for providing vehicle rainfall sensor big data based real-time rainfall information.

In accordance with an aspect of the present invention, there is provided a method for providing real-time rainfall information based on vehicle rainfall sensor big data, the method comprising: collecting vehicle rainfall sensor data from a plurality of vehicle terminals, and storing the collected vehicle rainfall sensor data in a big data store. And storing the collected vehicle rainfall sensor data through a predetermined rainfall analysis algorithm to analyze rainfall.

The vehicle rainfall sensor data may include rainfall sensor signal values, vehicle location information, and data generation time.

The rainfall analysis algorithm detects a wiper operation time based on a sensor signal value output from a rain sensor of a vehicle in a preset artificial rain environment, and the difference between the sensor signal values before and after the detected wiper operation time. It can be obtained through the correlation analysis of the difference between the sensor signal value and the rainfall in the preset artificial rainfall environment.

The rainfall analysis algorithm may be obtained for each vehicle model.

Real-time rainfall information providing system based on vehicle rainfall sensor big data according to the present invention for solving the above technical problem, a collector for collecting vehicle rainfall sensor data from a plurality of vehicle terminals, the collected vehicle rainfall sensor data big data A storage unit for storing in the storage, and the analysis unit for analyzing the rainfall by analyzing the collected vehicle rainfall sensor data through a predetermined rainfall analysis algorithm.

In order to solve the above technical problem, the present invention may include a computer-readable recording medium containing a program for executing the vehicle rainfall sensor big data based real-time rainfall information providing method according to the present invention.

The program includes a command set for collecting vehicle rainfall sensor data from a plurality of vehicle terminals, a command set for storing the collected vehicle rainfall sensor data in a big data store, and a predetermined rainfall analysis algorithm for the collected vehicle rainfall sensor data. It can include a set of instructions to analyze the rainfall through the analysis.

According to the present invention, it is possible to expect the effect of reducing the traffic volume and accident rate by improving the accuracy of rainfall observation for local rainfall and providing real-time rainfall information for each road by increasing the density of rainfall observation network based on the big data collected from the vehicle rainfall sensor. have.

1 is a block diagram of a vehicle rainfall sensor big data based real-time rainfall information providing system according to an embodiment of the present invention.
FIG. 2 is a view provided to explain a concept of deriving a rainfall relationship equation (WSR algorithm) through an artificial rainfall environment according to an embodiment of the present invention.
3 is a diagram illustrating a rainfall sensor signal measured in an artificial rainfall environment according to an embodiment of the present invention.
4 is an operation flowchart of a vehicle rainfall sensor big data based real-time rainfall information providing system according to an embodiment of the present invention.

DETAILED DESCRIPTION Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention.

1 is a block diagram of a vehicle rainfall sensor big data based real-time rainfall information providing system according to an embodiment of the present invention.

Referring to FIG. 1, a vehicle rainfall sensor big data based real-time rainfall information providing system according to an embodiment of the present invention may include a plurality of vehicle terminals 100a, 100b, 100c,..., 100n and a rainfall information generation platform 200. It may include.

The plurality of vehicle terminals 100a, 100b, 100c,..., 100n and the rainfall information generation platform 200 may exchange various information and data through the communication network 10.

The communication network 10 includes local area network (LAN), metropolitan area network (MAN), wide area network (WAN), internet (internet), 3G (generation), 4G (generation) It may include various data communication networks including mobile networks, Wi-Fi, Li-Fi, Wireless Broadband Internet (WIBRO), Long Term Evolution (LTE), or Wireless Access in Vehicular Environments (WAVE). It is possible to use any communication method regardless of wire and wireless.

The plurality of vehicle terminals 100a, 100b, 100c,..., And 100n may transmit vehicle rainfall sensor data including rainfall sensor signal values collected from a rain sensor installed in a vehicle to the rainfall information generation platform 200 in real time. Can transmit

To this end, the vehicle terminals 100a, 100b, 100c,..., 100n may receive a rainfall sensor signal value from a rainfall sensor installed in a vehicle, and obtain vehicle position information from a GNSS signal receiving module such as a GPS receiver installed in the vehicle. .

For example, the vehicle terminals 100a, 100b, 100c,..., And 100n may combine the rainfall sensor signal value generated from the rainfall sensor for one second, the location information obtained from the GNSS signal receiving module, and the data generation time information into one file. It may be implemented to wirelessly transmit to the rainfall information generation platform 200 through the LTE communication module in seconds. Of course, the data transmission cycle or the unit of grouping the data into one file may be variously implemented according to an embodiment.

The rainfall information generation platform 200 may include a collector 210, a storage 220, and an analyzer 230.

The collection unit 210 collects vehicle rainfall sensor data from a plurality of vehicle terminals 100a, 100b, 100c,..., 100n.

The storage unit 220 stores a large amount of vehicle rainfall sensor data collected through the collection unit 210 in the big data store. Technology related to big data storage such as HBase, big data distributed file system, etc. may be applied.

The analyzer 230 may analyze the collected vehicle rainfall sensor data through a predetermined rainfall analysis algorithm to analyze rainfall.

Rain sensors installed in the vehicle produce 250 data per second (values from 1023 to 0) on a total of eight channels. In addition, when collecting vehicle rainfall sensor data from a plurality of vehicles running around the country, for example, hundreds of thousands of vehicles, a significant amount of data must be collected and stored in real time, and used for analysis, according to the present invention. In the 200, the collector 210, the storage 220, and the analyzer 230 may apply a big data platform technology capable of collecting and storing big data in real time. In-memory distributed parallel data processing technology can also be applied to efficiently process vehicle rainfall sensor data corresponding to space-time big data for real-time analysis. The technology elements such as big data collection, storage, and analysis can be applied by applying known technologies or adopting technologies developed in the future.

2 and 3, a predetermined rainfall analysis algorithm for analyzing rainfall vehicle data according to the present invention and predicting rainfall will be described.

FIG. 2 is a view provided to explain a concept of deriving a rainfall relationship equation (W-S-R algorithm) through an artificial rainfall environment according to an embodiment of the present invention.

As illustrated in FIG. 2, 1) increase in rainfall falling on the vehicle windshield-> 2) increase in sensor sensing saturation area range-> 3) decrease in rainfall sensor values-> 4) wiper operation and windshield surface initialization 4 steps, and so on. When rain sensors installed in a vehicle detect rainwater, the sensor signal value decreases, and the more saturated the rainwater, the faster it decreases. In addition, when the detected amount of rainwater is initialized (vehicle windshield initialization) due to the wiper operation, the rainfall sensor value increases to close to the initial value again.

Through this principle of rainfall and rainfall sensor signal change according to the wiper operation, it can be seen that the rainfall sensor signal value changes significantly before and after the wiper moves.

3 is a diagram illustrating a rainfall sensor signal measured in an artificial rainfall environment according to an embodiment of the present invention.

Referring to FIG. 3, when the rainfall sensor signal value at the time of operation of the wiper is accumulated, a smaller value means a larger rainfall value, and a larger rainfall sensor signal value means a smaller rainfall value. The rainfall sensor signal value can be seen that the wiper rapidly increases from the value before operation (f _l1 , f _l2 , f _l3 , f _l4 ) to the value after operation (f _h1 , f _h2 , f _h3 , f _h4 ). In FIG. 3, it may be determined that the wiper is operated at the time point F _X. Then, if the difference between the value before the operation point (f _l1 , f _l2 , f _l3 , f _l4 ) and the value after the operation (f _h1 , f _h2 , f _h3 , f _h4 ) is obtained, the accumulated rainfall information between the wiper operation points is obtained. Can be saved. The value before the actuation point (f _l1 , f _l2 , f _l3 , f _l4 ) may correspond to the rainfall sensor value at the wiper actuation point.

As such, the sensor signal value output from the rain sensor of the vehicle may be measured in an artificial rain environment set in advance so as to control the rainfall, and the wiper operation time may be detected based on this. The difference between the sensor signal values before and after the detected wiper operation time can be obtained, and the rainfall data can be derived from the difference between the sensor signal values and the pre-set artificial rainfall environment and the rainfall can be derived based on the rainfall sensor data. A rainfall analysis algorithm can be generated.

Rainfall sensor signal values are analyzed by varying the pressure spraying water through the nozzle in an artificial rainfall environment and analyzing the collected data while repeating experiments that measure rainfall sensor signals according to predetermined conditions. Rainfall analysis algorithm according to vehicle rainfall sensor signal can be derived through correlation analysis between rainfall and rainfall.

Meanwhile, the rainfall analysis algorithm may be obtained for each vehicle model. In this case, the vehicle rainfall sensor data generated and transmitted by each vehicle terminal 100a, 100b, 100c, ..., 100n may also be implemented to include vehicle model information.

4 is an operation flowchart of a vehicle rainfall sensor big data based real-time rainfall information providing system according to an embodiment of the present invention.

Referring to FIG. 4, first, a wiper operation time is detected based on a sensor signal value output from a rain sensor of a vehicle in a preset artificial rain environment, and a difference between sensor signal values before and after the detected wiper operation time is detected. In addition, a rainfall analysis algorithm may be obtained and prepared in advance through a correlation analysis between a difference in sensor signal values and rainfall in a preset artificial rainfall environment (S410).

Next, the collection unit 210 may collect vehicle rainfall sensor data generated during vehicle operation from the plurality of vehicle terminals 100a, 100b, 100c,..., 100n (S420).

The storage unit 220 may store the vehicle rainfall sensor data transmitted and collected from the plurality of vehicle terminals 100a, 100b, 100c,..., And 100n in the big data storage (S430).

Next, the analysis unit 230 analyzes the vehicle rainfall sensor data collected from the plurality of vehicle terminals 100a, 100b, 100c,..., And 100n through a predetermined rainfall analysis algorithm prepared in step S410 to analyze rainfall. It may be (S440).

The embodiments described above may be implemented as hardware components, software components, and / or combinations of hardware components and software components. For example, the devices, methods, and components described in the embodiments may include, for example, processors, controllers, arithmetic logic units (ALUs), digital signal processors, microcomputers, field programmable gates (FPGAs). It may be implemented using one or more general purpose or special purpose computers, such as an array, a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to the execution of the software. For convenience of explanation, one processing device may be described as being used, but one of ordinary skill in the art will appreciate that the processing device includes a plurality of processing elements and / or a plurality of types of processing elements. It can be seen that it may include. For example, the processing device may include a plurality of processors or one processor and one controller. In addition, other processing configurations are possible, such as parallel processors.

The software may include a computer program, code, instructions, or a combination of one or more of the above, and may configure the processing device to operate as desired, or process independently or collectively. You can command the device. Software and / or data may be any type of machine, component, physical device, virtual equipment, computer storage medium or device in order to be interpreted by or to provide instructions or data to the processing device. Or may be permanently or temporarily embodied in a signal wave to be transmitted. The software may be distributed over networked computer systems so that they may be stored or executed in a distributed manner. Software and data may be stored on one or more computer readable recording media.

The method according to the embodiment may be embodied in the form of program instructions that can be executed by various 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. The program instructions recorded on the media may be those specially designed and constructed for the purposes of the embodiments, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

Although the embodiments have been described with reference to the accompanying drawings, those skilled in the art may apply various technical modifications and variations based on the above. For example, the described techniques may be performed in a different order than the described method, and / or components of the described systems, structures, devices, circuits, etc. may be combined or combined in a different form than the described method, or other components. Or even if replaced or replaced by equivalents, an appropriate result can be achieved.

10: network
100a, 100b, 100c,... , 100n: vehicle terminal
200: rainfall information generation platform
210: collector
220: storage unit
230: analysis unit

Claims (12)

A collector collecting vehicle rainfall sensor data from a plurality of vehicle terminals;
A storage unit storing the collected vehicle rainfall sensor data in a big data store, and
An analysis unit analyzing the collected vehicle rainfall sensor data through a predetermined rainfall analysis algorithm to analyze rainfall
Including,
The rainfall analysis algorithm,
Detects a wiper operation time based on a sensor signal value output from a rain sensor of the vehicle in a preset artificial rain environment, obtains a difference between the sensor signal values before and after the detected wiper operation time, and the sensor signal Method for providing real-time rainfall information based on vehicle rainfall sensor big data, which is obtained through correlation analysis between difference in value and rainfall in the preset artificial rainfall environment.
In claim 1,
The vehicle rainfall sensor data,
Method for providing real-time rainfall information based on vehicle rainfall sensor big data including rainfall sensor signal value, vehicle location information and data generation time.
delete In claim 1,
The rainfall analysis algorithm is a method for providing real-time rainfall information based on vehicle rainfall sensor big data obtained for each vehicle model.
Collector for collecting vehicle rainfall sensor data from a plurality of vehicle terminals,
A storage unit for storing the collected vehicle rainfall sensor data in a big data storage;
An analysis unit analyzing the collected vehicle rainfall sensor data through a predetermined rainfall analysis algorithm to analyze rainfall
Including,
The rainfall analysis algorithm,
Detects a wiper operation time based on a sensor signal value output from a rain sensor of the vehicle in a preset artificial rain environment, obtains a difference between the sensor signal values before and after the detected wiper operation time, and the sensor signal Vehicle rainfall sensor big data based real-time rainfall information providing system obtained through the correlation analysis of the difference between the value and rainfall in the preset artificial rainfall environment.
In claim 5,
The vehicle rainfall sensor data,
Vehicle rainfall sensor big data based real-time rainfall information providing system including rainfall sensor signal value, vehicle location information and data generation time.
delete In claim 5,
The rainfall analysis algorithm is a real-time rainfall information providing system based on vehicle rainfall sensor big data obtained for each vehicle model.
A computer-readable recording medium recording a program for performing a method for providing real-time rainfall information based on vehicle rainfall sensor big data,
The program,
A command set for collecting vehicle rainfall sensor data from a plurality of vehicle terminals;
An instruction set for storing the collected vehicle rainfall sensor data in a big data store, and
Instruction set for analyzing rainfall by analyzing the collected vehicle rainfall sensor data through a predetermined rainfall analysis algorithm
Including,
The rainfall analysis algorithm,
Detects a wiper operation time based on a sensor signal value output from a rain sensor of the vehicle in a preset artificial rain environment, obtains a difference between the sensor signal values before and after the detected wiper operation time, and the sensor signal A computer-readable recording medium obtained by analyzing a correlation between a difference between a value and rainfall in the preset artificial rainfall environment.
In claim 9,
The vehicle rainfall sensor data,
Computer-readable recording medium comprising rainfall sensor signal values, vehicle position information and data generation time.
delete In claim 9,
And the rainfall analysis algorithm is obtained for each vehicle model.

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