CN112398939A - Partitioned meteorological intelligent early warning platform based on communication signaling - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
- H04W4/14—Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
The invention discloses a partitioned meteorological intelligent early warning platform based on communication signaling, which is characterized in that: comprises an early warning task management module, an early warning task control module, a big data user identification module, an early warning task relieving module, an early warning task overview module and a statistical analysis module, the early warning task management module provides a web interface for meteorological office workers to create emergency short message issuing tasks on a map according to the mode of administrative regions or framed regions, meanwhile, the task of sending weather emergency short messages is decomposed, and an intelligent regional short message capability interface of three operators, namely mobile, telecommunication and Unicom, is called to realize the establishment and sending of short message tasks, the big data user identification module acquires the crowd information in the selected area range in real time based on the mobile phone signaling information, generates gis vertex coordinate system, corresponds to the operator base station list according to the map range, and processing the signaling data in real time under the corresponding base station list to generate a corresponding mobile phone list in the area, so as to realize accurate issuing of the task.
Description
Technical Field
The invention relates to the field of big data analysis, in particular to a partitioned meteorological intelligent early warning platform based on communication signaling.
Background
In some meteorological offices with higher informatization degree, meteorological early warning issuing means are preliminarily established, including various issuing channels such as broadcasting, televisions, radio stations, websites, microblogs, WeChat and the like, but in the aspect of short message reminding, the existing meteorological department has the problem that only a short message platform of a fixed crowd exists, but the meteorological early warning issuing means cannot be accurately issued to the hands of the crowd in a designated area in a targeted way, and the meteorological early warning issuing means specifically comprise the following defects: the target population numbers depend on manual collection and leading-in of all town streets in advance, the numbers are collected incompletely, the number information is updated slowly, when a meteorological disaster occurs, the numbers can only be fixedly sent to stock numbers, the population in a disaster area cannot be identified accurately in real time, the temporary entering population cannot perform early warning, the outworkers send the early warning information as old, the phenomena of mistaken sending, excessive sending and missed sending of the early warning information are serious, and the comprehensiveness and accuracy of early warning information coverage are reduced. Therefore, an intelligent short message early warning platform is built based on the large signaling data capacity of an operator, the masses in the meteorological disaster range are accurately identified, the whole network coverage capacity and the efficient information touch capacity of the short messages are utilized, the early warning information is accurately issued in real time, and the method has very important significance.
Disclosure of Invention
In order to solve the technical problems, the system comprises an early warning task management module, an early warning task control module, a big data user identification module, an early warning task relief module, an early warning task overview module and a statistical analysis module, wherein the early warning task management module provides a web interface for meteorological office workers to create emergency short message issuing tasks on a map according to administrative regions or frame selection regions, meanwhile, the meteorological emergency short message issuing tasks are decomposed, three intelligent region short message capability interfaces of mobile operators, telecom operators and Unicom operators are called to achieve creation and issuing of the short message tasks, the big data user identification module acquires crowd information in a selected region range in real time based on mobile phone signaling information to generate an gis vertex coordinate system, and processes the signaling data in real time under the corresponding base station list according to the corresponding operator base station list in the map range to generate a corresponding mobile phone list in the region, and realizing accurate issuing of tasks. The early warning task control module provides state control such as starting, suspending and deleting for the weather early warning task by a platform user according to actual conditions; the early warning cancellation task creation module provides an early warning task for sending a short message, can cancel early warning, and stops a corresponding early warning task after the early warning cancellation task is created, and simultaneously sends warning cancellation information to a user who has sent early warning information in a task area; the early warning task overview module provides an execution condition for displaying a target task based on a GIS map, and comprises the following steps: information such as the delivery amount and the delivery progress of the task three-network operator; the statistical analysis module provides visual charts and report forms to show the short message issuing conditions, and the user distinguishes the monthly/annual emergency short message issuing quantity of each operator viewing the whole city and each county dimension. The early warning task control module also comprises a plurality of early warning areas selected for the same early warning task, and mainly comprises the following steps: 1, establishing subtasks, wherein one early warning area corresponds to one subtask; and 2, calculating the intersection of the framing, circled area and the administrative jurisdiction area by using an Arcgis For JS graphical geometry engine. The platform adopts a cloud deployment scheme, and the physical architecture of the platform comprises an application server, a Web server, an interface server and a cloud database deployed in a VPC (virtual private cloud) of a government affair cloud weather bureau private network.
The application server executes corresponding task logic in the background according to the task rules created by the user, the platform firstly passes the audit aiming at each created task, and for the task passing the audit, the platform enters an execution queue according to the priority of the task, and carries out the execution flow of the task in sequence, including obtaining a task target user group, organizing the content of the short message, issuing the short message according to a time window, counting the execution of related tasks and the like. The interface server is connected with a big data center of three operators, calls a short message platform capacity interface, simultaneously processes messages from a service system, and realizes service logic of the platform through analysis, analysis and scheduling. The communication signaling in the platform comprises the steps of collecting and synthesizing original signaling data (comprising 2/3/4/G) of a mobile communication network and other auxiliary data (call ticket data, content analysis data and the like), analyzing and synthesizing the collected data through a special signaling analysis device, repairing the positions of various data sources, and providing signaling data required by a project in real time. The platform communication signaling processing and issuing mainly comprises the following steps; step 1, signaling data acquisition, step 2, signaling data analysis, step 3, signaling data field extraction, step 4, signaling data cleaning and noise reduction, step 5, fusion of other position data, step 6, target user screening process, wherein the signaling data acquisition of the step 1 is to extract the signaling through the real-time communication with the signaling interface of the operator, wherein, the signaling data analysis in the step 2 is to analyze and synthesize the collected data by a special signaling analysis device, the collected and processed signaling data becomes a complete user behavior record comprising a large amount of information such as the occurrence start time, the occurrence end time, the user identification code, the place, the behavior type and the like of the user behavior, wherein, in step 3, the required field information is extracted from the original data record, and the field requirements of the collected signaling data comprise: time stamp, event type, international mobile subscriber identification code, mobile phone number, access network dimension, lac initiated by service, ci initiated by service, lac terminated by service, ci terminated by service, etc., wherein the signaling cleaning and noise reduction in step 4 takes an operator communication network base station as a data selection basis, the original signaling data extracted from a signaling interface of a communication operator is filtered, the signaling generated on a monitored area is screened out, further the signaling which is not in the area, invalid users, signaling samples with abnormal cleaning position characteristics, etc. are eliminated, noise is reduced, so that the signaling data which meets the user screening requirement is selected for screening target users, wherein the fusion of other position data in step 5 is combined with other operator side position data after the real-time 2/3/4G signaling data is encrypted, and identifying the mobile characteristics of the users, increasing the dotting density of the individual users and correcting the geographical positions of the users. The target user screening process of step 6 is to screen the issued target users through the area range divided by the task, wherein the target user screening process comprises a filtering and screening module and an event acquisition module, the filtering and screening module continuously reads the signaling data file generated by the event acquisition module and analyzes the signaling data file, according to the T _ LAC/T _ CI field, whether the mobile phone number is in the target issued area is determined by inquiring the corresponding relation between the task issued area and the base station LAC/CI, the filtering and screening module reads the active issued tasks from the database at regular time, and the rule is created or the state of the rule is modified by combining the attribute and the state of the task. The screening rules comprise an issued LAC/CI group rule, a cell rule and a signaling type rule, wherein the issued LAC/CI group rule is that each member consists of an LAC and a CI, the LAC and the CI in the members are separated by separators, the members are separated by commas, and a target mobile phone user must be related to the LAC/CI; the cell rule is that the number of the entering cell is set to be 1, the number of the entering cell is set to be 2, the number of the exiting cell is set to be 4, each member is composed of the above-mentioned numbers, and the members are separated by commas; the signaling type rule is that each member consists of a table _ type and an event _ type, the table _ type and the event _ type in the member are separated by a separation symbol, and the members are separated by commas.
By adopting the method, a meteorological early warning short message partition publishing platform is constructed by depending on the big data capability and the accurate information touch capability of three-network operators, so that the accurate targeted publishing of the meteorological early warning information is realized, the problems of mistaken and missed publishing of the early warning information are solved, the resource waste is reduced to the maximum extent, and the meteorological early warning effectiveness is improved. Through the construction of a meteorological early warning short message partition issuing platform, the unified issuing and management of meteorological department emergency early warning short messages are realized, the emergent meteorological short message issuing service is unified and converged, the signaling big data capacity of an operator is fully utilized to realize the real-time accurate identification of regional crowds, the early warning short messages are sent accurately in a targeted mode, and the transmission efficiency of meteorological early warning information is effectively improved.
Drawings
FIG. 1 is a diagram illustrating a physical architecture of an intelligent early warning platform;
FIG. 2 is a flow chart of data transmission for an intelligent early warning platform;
fig. 3 is a schematic diagram illustrating a signaling data cleaning and noise reduction process.
Detailed Description
Comprises an early warning task management module, an early warning task control module, a big data user identification module, an early warning task relieving module, an early warning task overview module and a statistical analysis module, the early warning task management module provides a web interface for meteorological office workers to create emergency short message issuing tasks on a map according to the mode of administrative regions or framed regions, meanwhile, the task of sending weather emergency short messages is decomposed, and an intelligent regional short message capability interface of three operators, namely mobile, telecommunication and Unicom, is called to realize the establishment and sending of short message tasks, the big data user identification module acquires the crowd information in the selected area range in real time based on the mobile phone signaling information, generates gis vertex coordinate system, corresponds to the operator base station list according to the map range, and processing the signaling data in real time under the corresponding base station list to generate a corresponding mobile phone list in the area, so as to realize accurate issuing of the task. The early warning task control module provides state control such as starting, suspending and deleting for the weather early warning task by a platform user according to actual conditions; the early warning cancellation task creation module provides an early warning task for sending a short message, can cancel early warning, and stops a corresponding early warning task after the early warning cancellation task is created, and simultaneously sends warning cancellation information to a user who has sent early warning information in a task area; the early warning task overview module provides an execution condition for displaying a target task based on a GIS map, and comprises the following steps: information such as the delivery amount and the delivery progress of the task three-network operator; the statistical analysis module provides visual charts and report forms to show the short message issuing conditions, and the user distinguishes the monthly/annual emergency short message issuing quantity of each operator viewing the whole city and each county dimension. The early warning task control module also comprises a plurality of early warning areas selected for the same early warning task, and mainly comprises the following steps: 1, establishing subtasks, wherein one early warning area corresponds to one subtask; and 2, calculating the intersection of the framing, circled area and the administrative jurisdiction area by using an Arcgis For JS graphical geometry engine. The platform adopts a cloud deployment scheme, and the physical architecture of the platform comprises an application server, a Web server, an interface server and a cloud database deployed in a VPC (virtual private cloud) of a government affair cloud weather bureau private network.
The application server executes corresponding task logic in the background according to the task rules created by the user, the platform firstly passes the audit aiming at each created task, and for the task passing the audit, the platform enters an execution queue according to the priority of the task, and carries out the execution flow of the task in sequence, including obtaining a task target user group, organizing the content of the short message, issuing the short message according to a time window, counting the execution of related tasks and the like. The interface server is connected with a big data center of three operators, calls a short message platform capacity interface, simultaneously processes messages from a service system, and realizes service logic of the platform through analysis, analysis and scheduling. The communication signaling in the platform comprises the steps of collecting and synthesizing original signaling data (comprising 2/3/4/G) of a mobile communication network and other auxiliary data (call ticket data, content analysis data and the like), analyzing and synthesizing the collected data through a special signaling analysis device, repairing the positions of various data sources, and providing signaling data required by a project in real time. The platform communication signaling processing and issuing mainly comprises the following steps; step 1, signaling data acquisition, step 2, signaling data analysis, step 3, signaling data field extraction, step 4, signaling data cleaning and noise reduction, step 5, fusion of other position data, step 6, target user screening process, wherein the signaling data acquisition of the step 1 is to extract the signaling through the real-time communication with the signaling interface of the operator, wherein, the signaling data analysis in the step 2 is to analyze and synthesize the collected data by a special signaling analysis device, the collected and processed signaling data becomes a complete user behavior record comprising a large amount of information such as the occurrence start time, the occurrence end time, the user identification code, the place, the behavior type and the like of the user behavior, wherein, in step 3, the required field information is extracted from the original data record, and the field requirements of the collected signaling data comprise: time stamp, event type, international mobile subscriber identification code, mobile phone number, access network dimension, lac initiated by service, ci initiated by service, lac terminated by service, ci terminated by service, etc., wherein the signaling cleaning and noise reduction in step 4 takes an operator communication network base station as a data selection basis, the original signaling data extracted from a signaling interface of a communication operator is filtered, the signaling generated on a monitored area is screened out, further the signaling which is not in the area, invalid users, signaling samples with abnormal cleaning position characteristics, etc. are eliminated, noise is reduced, so that the signaling data which meets the user screening requirement is selected for screening target users, wherein the fusion of other position data in step 5 is combined with other operator side position data after the real-time 2/3/4G signaling data is encrypted, and identifying the mobile characteristics of the users, increasing the dotting density of the individual users and correcting the geographical positions of the users. The target user screening process of step 6 is to screen the issued target users through the area range divided by the task, wherein the target user screening process comprises a filtering and screening module and an event acquisition module, the filtering and screening module continuously reads the signaling data file generated by the event acquisition module and analyzes the signaling data file, according to the T _ LAC/T _ CI field, whether the mobile phone number is in the target issued area is determined by inquiring the corresponding relation between the task issued area and the base station LAC/CI, the filtering and screening module reads the active issued tasks from the database at regular time, and the rule is created or the state of the rule is modified by combining the attribute and the state of the task. The screening rules comprise an issued LAC/CI group rule, a cell rule and a signaling type rule, wherein the issued LAC/CI group rule is that each member consists of an LAC and a CI, the LAC and the CI in the members are separated by separators, the members are separated by commas, and a target mobile phone user must be related to the LAC/CI; the cell rule is that the number of the entering cell is set to be 1, the number of the entering cell is set to be 2, the number of the exiting cell is set to be 4, each member is composed of the above-mentioned numbers, and the members are separated by commas; the signaling type rule is that each member consists of a table _ type and an event _ type, the table _ type and the event _ type in the member are separated by a separation symbol, and the members are separated by commas.
By means of the big data capacity and accurate information touch and reach capacity of the three-network operator, a weather early warning short message partition publishing platform is constructed, accurate target publishing of weather early warning information is achieved, the problems of mistaken publishing and missed publishing of the early warning information are solved, resource waste is reduced to the maximum extent, and weather early warning effectiveness is improved. Through the construction of a meteorological early warning short message partition issuing platform, the unified issuing and management of meteorological department emergency early warning short messages are realized, the emergent meteorological short message issuing service is unified and converged, the signaling big data capacity of an operator is fully utilized to realize the real-time accurate identification of regional crowds, the early warning short messages are sent accurately in a targeted mode, and the transmission efficiency of meteorological early warning information is effectively improved.
Claims (10)
1. Partitioned weather intelligent early warning platform based on communication signaling, its characterized in that: comprises an early warning task management module, an early warning task control module, a big data user identification module, an early warning task relieving module, an early warning task overview module and a statistical analysis module, the early warning task management module provides a web interface for meteorological office workers to create emergency short message issuing tasks on a map according to the mode of administrative regions or framed regions, meanwhile, the task of sending weather emergency short messages is decomposed, and an intelligent regional short message capability interface of three operators, namely mobile, telecommunication and Unicom, is called to realize the establishment and sending of short message tasks, the big data user identification module acquires the crowd information in the selected area range in real time based on the mobile phone signaling information, generates gis vertex coordinate system, corresponds to the operator base station list according to the map range, and processing the signaling data in real time under the corresponding base station list to generate a corresponding mobile phone list in the area, so as to realize accurate issuing of the task.
2. The partitioned weather intelligent early warning platform based on communication signaling according to claim 1, wherein: the early warning task control module provides state control such as starting, suspending and deleting for the weather early warning task by a platform user according to actual conditions; the early warning cancellation task creation module provides an early warning task for sending a short message, can cancel early warning, and stops a corresponding early warning task after the early warning cancellation task is created, and simultaneously sends warning cancellation information to a user who has sent early warning information in a task area; the early warning task overview module provides an execution condition for displaying a target task based on a GIS map, and comprises the following steps: information such as the delivery amount and the delivery progress of the task three-network operator; the statistical analysis module provides visual charts and report forms to show the short message issuing conditions, and the user distinguishes the monthly/annual emergency short message issuing quantity of each operator viewing the whole city and each county dimension.
3. The partitioned weather intelligent early warning platform based on communication signaling according to claim 1, wherein: the early warning task control module also comprises a plurality of early warning areas selected for the same early warning task, and mainly comprises the following steps: 1, establishing subtasks, wherein one early warning area corresponds to one subtask; and 2, calculating the intersection of the framing, circled area and the administrative jurisdiction area by using an Arcgis For JS graphical geometry engine.
4. The partitioned weather intelligent early warning platform based on communication signaling according to claim 1, wherein: the platform adopts a cloud deployment scheme, and the physical architecture of the platform comprises an application server, a Web server, an interface server and a cloud database deployed in a VPC (virtual private cloud) of a government affair cloud weather bureau private network.
5. The partitioned weather intelligent early warning platform based on communication signaling according to claim 3, wherein: the application server executes corresponding task logic in the background according to the task rules created by the user, the platform firstly passes the audit aiming at each created task, and for the task passing the audit, the platform enters an execution queue according to the priority of the task, and carries out the execution flow of the task in sequence, including obtaining a task target user group, organizing the content of the short message, issuing the short message according to a time window, counting the execution of related tasks and the like.
6. The partitioned weather intelligent early warning platform based on communication signaling according to claim 3, wherein: the interface server is connected with a big data center of three operators, calls a short message platform capacity interface, simultaneously processes messages from a service system, and realizes service logic of the platform through analysis, analysis and scheduling.
7. The partitioned weather intelligent early warning platform based on communication signaling according to claim 1, wherein: the communication signaling in the platform comprises the steps of collecting and synthesizing original signaling data (comprising 2/3/4/G) of a mobile communication network and other auxiliary data (call ticket data, content analysis data and the like), analyzing and synthesizing the collected data through a special signaling analysis device, repairing the positions of various data sources, and providing signaling data required by a project in real time.
8. The partitioned weather intelligent early warning platform based on communication signaling according to claim 6, wherein: the platform communication signaling processing and issuing mainly comprises the following steps; step 1, signaling data acquisition, step 2, signaling data analysis, step 3, signaling data field extraction, step 4, signaling data cleaning and noise reduction, step 5, fusion of other position data, step 6, target user screening process, wherein the signaling data acquisition of the step 1 is to extract the signaling through the real-time communication with the signaling interface of the operator, wherein, the signaling data analysis in the step 2 is to analyze and synthesize the collected data by a special signaling analysis device, the collected and processed signaling data becomes a complete user behavior record comprising a large amount of information such as the occurrence start time, the occurrence end time, the user identification code, the place, the behavior type and the like of the user behavior, wherein, in step 3, the required field information is extracted from the original data record, and the field requirements of the collected signaling data comprise: time stamp, event type, international mobile subscriber identification code, mobile phone number, access network dimension, lac initiated by service, ci initiated by service, lac terminated by service, ci terminated by service, etc., wherein the signaling cleaning and noise reduction in step 4 takes an operator communication network base station as a data selection basis, the original signaling data extracted from a signaling interface of a communication operator is filtered, the signaling generated on a monitored area is screened out, further the signaling which is not in the area, invalid users, signaling samples with abnormal cleaning position characteristics, etc. are eliminated, noise is reduced, so that the signaling data which meets the user screening requirement is selected for screening target users, wherein the fusion of other position data in step 5 is combined with other operator side position data after the real-time 2/3/4G signaling data is encrypted, and identifying the mobile characteristics of the users, increasing the dotting density of the individual users and correcting the geographical positions of the users.
9. The partitioned weather intelligent early warning platform based on communication signaling according to claim 7, wherein: the target user screening process of step 6 is to screen the issued target users through the area range divided by the task, wherein the target user screening process comprises a filtering and screening module and an event acquisition module, the filtering and screening module continuously reads the signaling data file generated by the event acquisition module and analyzes the signaling data file, according to the T _ LAC/T _ CI field, whether the mobile phone number is in the target issued area is determined by inquiring the corresponding relation between the task issued area and the base station LAC/CI, the filtering and screening module reads the active issued tasks from the database at regular time, and the rule is created or the state of the rule is modified by combining the attribute and the state of the task.
10. The partitioned weather intelligent early warning platform based on communication signaling according to claim 8, wherein: the screening rules comprise an issued LAC/CI group rule, a cell rule and a signaling type rule, wherein the issued LAC/CI group rule is that each member consists of an LAC and a CI, the LAC and the CI in the members are separated by separators, the members are separated by commas, and a target mobile phone user must be related to the LAC/CI; the cell rule is that the number of the entering cell is set to be 1, the number of the entering cell is set to be 2, the number of the exiting cell is set to be 4, each member is composed of the above-mentioned numbers, and the members are separated by commas; the signaling type rule is that each member consists of a table _ type and an event _ type, the table _ type and the event _ type in the member are separated by a separation symbol, and the members are separated by commas.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113706001A (en) * | 2021-08-20 | 2021-11-26 | 中国联合网络通信集团有限公司 | Emergency early warning method, device, equipment and storage medium |
| CN114827921A (en) * | 2022-03-24 | 2022-07-29 | 浪潮通信信息系统有限公司 | High-speed trip application method and system based on signaling big data |
| CN116303867A (en) * | 2023-05-19 | 2023-06-23 | 江西省气象灾害应急预警中心(江西省突发事件预警信息发布中心) | Early warning area identification method, system, computer and readable storage medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101021927A (en) * | 2007-03-20 | 2007-08-22 | 中国移动通信集团江苏有限公司 | Unified marketing supporting system based on analysis of user behaviour and habit and method thereof |
| CN102892090A (en) * | 2012-09-11 | 2013-01-23 | 北京中创信测科技股份有限公司 | Personalized service short message publication method and system |
| CN103699680A (en) * | 2013-12-31 | 2014-04-02 | 中国科学院深圳先进技术研究院 | Bus real-time geographic information data cleaning method and system |
| CN104408565A (en) * | 2014-11-28 | 2015-03-11 | 东莞中国科学院云计算产业技术创新与育成中心 | Urban comprehensive emergency command scheduling task distributing system and task distributing method thereof |
| CN106446154A (en) * | 2016-09-21 | 2017-02-22 | 广东奥博信息产业有限公司 | Cloud pushing controlling method for weather information |
| CN108198416A (en) * | 2017-12-28 | 2018-06-22 | 金交恒通有限公司 | A kind of mobile phone signaling and the fusion method of road network big data and its application and system |
| CN108269386A (en) * | 2017-12-20 | 2018-07-10 | 深圳市气象局 | Short message sending device, distributing device and the system of accident warning information |
| CN108271119A (en) * | 2017-12-20 | 2018-07-10 | 深圳市气象局 | The distributing device and system of multidisciplinary joint accident early warning short message |
| CN110830557A (en) * | 2019-10-22 | 2020-02-21 | 北京市天元网络技术股份有限公司 | Emergency and early warning announcement method and device based on signaling big data analysis tool |
| CN110990416A (en) * | 2019-11-27 | 2020-04-10 | 上海掌门科技有限公司 | Real-time weather information updating method, device electronic equipment and medium |
-
2020
- 2020-11-09 CN CN202011237637.4A patent/CN112398939B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101021927A (en) * | 2007-03-20 | 2007-08-22 | 中国移动通信集团江苏有限公司 | Unified marketing supporting system based on analysis of user behaviour and habit and method thereof |
| CN102892090A (en) * | 2012-09-11 | 2013-01-23 | 北京中创信测科技股份有限公司 | Personalized service short message publication method and system |
| CN103699680A (en) * | 2013-12-31 | 2014-04-02 | 中国科学院深圳先进技术研究院 | Bus real-time geographic information data cleaning method and system |
| CN104408565A (en) * | 2014-11-28 | 2015-03-11 | 东莞中国科学院云计算产业技术创新与育成中心 | Urban comprehensive emergency command scheduling task distributing system and task distributing method thereof |
| CN106446154A (en) * | 2016-09-21 | 2017-02-22 | 广东奥博信息产业有限公司 | Cloud pushing controlling method for weather information |
| CN108269386A (en) * | 2017-12-20 | 2018-07-10 | 深圳市气象局 | Short message sending device, distributing device and the system of accident warning information |
| CN108271119A (en) * | 2017-12-20 | 2018-07-10 | 深圳市气象局 | The distributing device and system of multidisciplinary joint accident early warning short message |
| CN108198416A (en) * | 2017-12-28 | 2018-06-22 | 金交恒通有限公司 | A kind of mobile phone signaling and the fusion method of road network big data and its application and system |
| CN110830557A (en) * | 2019-10-22 | 2020-02-21 | 北京市天元网络技术股份有限公司 | Emergency and early warning announcement method and device based on signaling big data analysis tool |
| CN110990416A (en) * | 2019-11-27 | 2020-04-10 | 上海掌门科技有限公司 | Real-time weather information updating method, device electronic equipment and medium |
Non-Patent Citations (2)
| Title |
|---|
| 潘琳士等: "当我想"你"的时候 中国移动江苏无锡分公司推进"精确营销"侧记", 《通信企业管理》 * |
| 赵小江等: "关联寻呼区的预警短信发布方法研究", 《移动通信》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113706001A (en) * | 2021-08-20 | 2021-11-26 | 中国联合网络通信集团有限公司 | Emergency early warning method, device, equipment and storage medium |
| CN113706001B (en) * | 2021-08-20 | 2023-06-09 | 中国联合网络通信集团有限公司 | Emergency early warning method, device, equipment and storage medium |
| CN114827921A (en) * | 2022-03-24 | 2022-07-29 | 浪潮通信信息系统有限公司 | High-speed trip application method and system based on signaling big data |
| CN116303867A (en) * | 2023-05-19 | 2023-06-23 | 江西省气象灾害应急预警中心(江西省突发事件预警信息发布中心) | Early warning area identification method, system, computer and readable storage medium |
| CN116303867B (en) * | 2023-05-19 | 2023-08-22 | 江西省气象灾害应急预警中心(江西省突发事件预警信息发布中心) | Early warning area identification method, system, computer and readable storage medium |
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