The disclosure is related to a method of identifying an incident occurring in a service area by a server. The method may include detecting abnormal traffic generation in a service area of the server, collecting text data from at least one of a social network service (SNS) system, access points and b
The disclosure is related to a method of identifying an incident occurring in a service area by a server. The method may include detecting abnormal traffic generation in a service area of the server, collecting text data from at least one of a social network service (SNS) system, access points and base stations associated with a location of the abnormal traffic generation, collecting sensing data from at least one of sensors installed around the location of the abnormal traffic generation, and identifying an incident occurring in the service area based on the collected text data and the collected sensing data.
대표청구항▼
1. A method of identifying an incident occurring in a service area by a server, the method comprising: detecting abnormal traffic generation in a service area of the server;collecting text data from at least one of a social network service (SNS) system, access points and base stations associated wit
1. A method of identifying an incident occurring in a service area by a server, the method comprising: detecting abnormal traffic generation in a service area of the server;collecting text data from at least one of a social network service (SNS) system, access points and base stations associated with a location of the abnormal traffic generation;collecting sensing data from at least one of sensors installed around the location of the abnormal traffic generation; andidentifying an incident occurring in the service area based on the collected text data and the collected sensing data,wherein the collecting sensing data comprises:determining a location of an occurring incident based on the collected text data, as a second location;selecting sensors installed at the second location;generating a control signal to request the selected sensors to collect information; andtransmitting the generated control signal to the selected sensors through a communication network. 2. The method of claim 1, wherein the text data includes information on contents included in at least one of text messages, short message service (SMS) messages, multimedia message service (MMS) messages, social network service (SNS) messages, and texts, which are exchanged among individuals and posted at a predetermined site through at least one of the access points, the base stations, and the SNS system in or associated with the service area of the server. 3. The method of claim 1, wherein the sensing data includes information sensed and collected by the sensors from the location of the abnormal traffic generation. 4. The method of claim 1, wherein the detecting abnormal traffic generation comprises: monitoring data traffic generated at the access points and the base stations in the service area; anddetecting at least one of the access points and the base stations generating an abnormal traffic amount based on the monitoring result. 5. The method of claim 4, wherein the detecting at least one of the access points and the base stations comprises: determining one generating the abnormal traffic amount when a data traffic amount in a predetermined period increases abruptly, when a data traffic amount in a predetermined period decreases abruptly, when a data traffic amount in a predetermined period is greater than a first threshold, or when a data traffic amount in a predetermined period is smaller than a second threshold. 6. The method of claim 1, wherein the collecting text data comprises: obtaining a location of one of an access point and a base station generating an abnormal traffic amount, as the location of the abnormal traffic generation;selecting a SNS system associated with the obtained location;requesting the selected SNS system and the one generating the abnormal traffic amount to provide text data associated with the abnormal traffic generation; andreceiving the text data in response to the request. 7. The method of claim 1, wherein the collecting text data comprises: dividing the collected text data into words;extracting primary keywords and secondary keywords from the words of the collected text data; andidentifying an incident based on the extracted primary keywords and the extracted secondary keywords. 8. The method of claim 7, wherein a primary keyword table and an incident information table are used to extract the primary keywords and the secondary keywords from the words of the collected text data. 9. The method of claim 7, wherein the collected text data further comprises: obtaining an incident identification code mapped to at least one of the extracted primary keywords using an incident information table;determining at least one sub-classification of the identified incident based on the secondary keywords;obtaining at least one of classification identification codes mapped to the determined sub-classification using the incident information table; andgenerating a text data based single incident based on the information on the extracted primary keywords, the extracted secondary keywords, the identified incident, the determined incident identification code, and the determined classification identification codes. 10. The method of claim 7, wherein the collecting text data further comprises: obtaining, as a second location, a location of the identified incident based on the words of the collected text data. 11. The method of claim 1, wherein the collecting sensing data further comprises: receiving, as the sensing data, the collected information from the selected sensors in response to the control signal;extracting abnormal data from the sensing data; andgenerating a sensing data based single incident based on the extracted abnormal data, the second location, and the received sensing data. 12. The method of claim 1, wherein the identifying an incident occurring in the service area comprises: generating a text data based single incident by analyzing the collected text data;generating a sensing data based single incident by analyzing the collected sensing data; andidentifying the incident by analyzing information included in the generated text data based single incident and the generated sensing data based single incident. 13. The method of claim 1, comprising: selecting an action flow matched with the identified incident; andperforming a set of operations based on the selected action flow. 14. The method of claim 13, wherein the performing a set of operations comprises: generating an inform message including information on the identified incident; andtransmitting the generated inform message to entities associated with the selected action flow through a communication network. 15. A method of identifying an incident occurring in a service area of a server, the method comprising: detecting one of access points and base stations, which generates an abnormal traffic amount;selecting a social network service (SNS) system associated with a location of the detected one;requesting the selected SNS system and the one generating the abnormal traffic amount to provide text data associated with the abnormal traffic generation;receiving the text data in response to the request; andidentifying an incident based on the received text data,wherein the method further comprises: determining a location of an occurring incident based on the received text data, as a second location;selecting sensors installed at the second location;generating a control signal to request the selected sensors to collect information;transmitting the generated control signal to the selected sensors through a communication network; andreceiving sensing data from the selected sensors,wherein the incident is identified based on the received sensing data with the text data. 16. The method of claim 15, wherein the identifying an incident comprises: dividing the received text data into words;extracting primary keywords and secondary keywords from the words of the collected text data; andidentifying an incident based on the extracted primary keywords and the extracted secondary keywords. 17. The method of claim 15, wherein the identifying an incident further comprises: obtaining an incident identification code mapped to at least one of the extracted primary keywords using an incident information table;determining at least one sub-classification of the identified incident based on the secondary keywords;obtaining at least one of classification identification codes mapped to the determined sub-classification using the incident information table; andidentifying the incident based on the obtained incident identification code and the obtained classification codes. 18. The method of claim 15, comprising: selecting an action flow matched with the identified incident;generating an inform message including information on the identified incident; andtransmitting the generated inform message to entities associated with the selected action flow through a communication network.
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이 특허에 인용된 특허 (5)
Barash, David; Totman, Mark; Freeman, Gary A., Community-based response system.
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