CN111932100A - Urban public safety emergency rescue platform - Google Patents

Urban public safety emergency rescue platform Download PDF

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Publication number
CN111932100A
CN111932100A CN202010762537.7A CN202010762537A CN111932100A CN 111932100 A CN111932100 A CN 111932100A CN 202010762537 A CN202010762537 A CN 202010762537A CN 111932100 A CN111932100 A CN 111932100A
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China
Prior art keywords
information
disaster
analysis
processing part
public safety
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Pending
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CN202010762537.7A
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Chinese (zh)
Inventor
许骥骏
许伟
张润婕
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Nanjing Zhongyue Information Technology Co ltd
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Nanjing Zhongyue Information Technology Co ltd
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Priority to CN202010762537.7A priority Critical patent/CN111932100A/en
Publication of CN111932100A publication Critical patent/CN111932100A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465Query processing support for facilitating data mining operations in structured databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

Abstract

The invention relates to an urban public safety emergency rescue platform, which belongs to the technical field of information communication and consists of a prior information acquisition and screening part, a prior information analysis and processing part and a subsequent information summarizing and feedback part.

Description

Urban public safety emergency rescue platform
Technical Field
The invention belongs to the technical field of information communication, and relates to an urban public safety emergency rescue platform.
Background
The urban public safety is used for researching various public accident disaster risks brought by human factors and natural factors in cities. The research range comprises seven aspects of urban industrial hazard sources, urban public places, urban public infrastructure, urban natural disasters, urban road traffic, terrorist attacks and damages, urban emergent public health events and the like. The urban public safety emergency rescue platform is a working mechanism consisting of a plurality of department data centers and is responsible for urban public risk prediction and evaluation, emergency plan making, emergency rescue action development, accident emergency training, exercise and other affairs. The occurrence of natural disasters and accidents is unpredictable, and the only thing we can do is to rescue immediately when the disasters and accidents occur. So that the casualties and property loss is reduced to a lower level. Therefore, how to provide an emergency rescue platform becomes a problem that needs to be solved urgently by the technical personnel in the field.
Disclosure of Invention
The invention aims to overcome the defects and provide an urban public safety emergency rescue platform.
In order to realize the purpose, the invention is realized by the following technical scheme:
an emergency rescue platform for urban public safety comprises a prior information acquisition and screening part, a prior information analysis and processing part and a post information summarization and feedback part,
the system comprises a prior information acquisition and screening part, a city danger source management cloud platform and a city information analysis and processing part, wherein the prior information acquisition and screening part is used for analyzing and processing acquired information and then sending the information to the city information analysis and processing part;
the information analysis and processing part in the affairs sets up the early warning threshold value in advance, carry on artificial intelligence analysis with the early warning threshold value in the information that the information acquisition and screening part sends in advance, screen out and start the urgent procedure and transfer the relevant resource the information that exceeds the early warning threshold value;
and the post information summarizing and feedback part is used for analyzing and summarizing the treatment effect of starting the emergency program and transferring the related resources of the information analysis and processing part in the event and feeding back the result to the user.
Furthermore, the urban dangerous source management cloud platform comprises a monitoring system, a communication system and an information processing system, wherein the monitoring system transmits the monitored dangerous source signals to the information processing system, and the information processing system processes the signals and then sends the processed signals to the information analysis and processing part in the city through the communication system.
Furthermore, the information analysis and processing part in the office comprises an information receiving module, an information comparison module and an information execution module, wherein the information receiving module is used for receiving signals sent by the communication system, the information comparison module is used for comparing the received signals with the early warning threshold value, and the information execution module immediately mobilizes emergency personnel and emergency materials after the signals exceed the early warning threshold value.
Furthermore, the in-service information analysis and processing part firstly actively collects the emergent disaster information from channels such as government portal websites such as earthquake bureaus and the like, social network information such as microblogs, WeChat and forum and the like, news media, Internet of things information such as GPS and the like, establishes an on-line disaster event element analysis frame, forms a multi-dimensional multi-source real-time dynamic information source, and deeply excavates the disaster area demand characteristics by applying a big data analysis technology; secondly, identifying time and geographical position information in the online disaster information by using an online disaster information mining method and a big data deep learning method, detecting a microblog text seeking help in a disaster, and drawing a disaster area material demand continuous evolution trend graph; and thirdly, mining, analyzing, summarizing and updating in real time aiming at the state, the grade and the influence area of the disaster event, the trapped help information of disaster victims, the material demand and the like, and performing dynamic correction and empirical inspection on the emergency material demand forecast quantity by using a method combining a database and deep learning so as to provide a decision basis for accurately distributing rescue materials.
Further, the communication system comprises a sending end device, a communication device and a receiving end device, wherein the sending end device is connected with the receiving end device through the communication device, and the communication device adopts one of an exchange technology, a wireless technology and an internet of things technology.
The invention has the beneficial effects that: the invention creates an emergency rescue platform based on new technologies such as big data, Internet of things, block chains and the like, expands on the basis of a three-dimensional digital city, and achieves the purposes of scene familiarity, ordinary training, plan exercise, actual combat command and the like, and the 'one picture' completes the decision of city macroscopic rescue command; finishing the internal examination and the efficiency evaluation of the emergency department based on the information guidance; and comprehensively evaluating the work performance of the participating force in a multi-dimensional angle such as rescue team equipment quantity, task condition estimation rescue time and the like. Performing macroscopic disaster condition analysis by combining with the actual situation of the terrain weather of a disaster condition occurrence place, guiding and commanding rescue actions, and considering rescue of the caused secondary disaster; extensibility is supported for access by subsequent data analysis programs. Public emergency resources of the government are fully utilized, and other related departments cooperatively perform rescue actions; the rescue process can also use high-tech equipment such as an emergency unmanned aerial vehicle to sense the real-time data on site.
Drawings
FIG. 1 is a schematic view of the structure of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1, an urban public safety emergency rescue platform comprises a prior information acquisition and screening part, a prior information analysis and processing part and a post information summarization and feedback part;
the system comprises a prior information acquisition and screening part, a city danger source management cloud platform and a city information analysis and processing part, wherein the prior information acquisition and screening part is used for analyzing and processing acquired information and then sending the information to the city information analysis and processing part;
the information analysis and processing part in the affairs sets up the early warning threshold value in advance, carry on artificial intelligence analysis with the early warning threshold value in the information that the information acquisition and screening part sends in advance, screen out and start the urgent procedure and transfer the relevant resource the information that exceeds the early warning threshold value;
and the post information summarizing and feedback part is used for analyzing and summarizing the treatment effect of starting the emergency program and transferring the related resources of the information analysis and processing part in the event and feeding back the result to the user.
Furthermore, the urban dangerous source management cloud platform comprises a monitoring system, a communication system and an information processing system, wherein the monitoring system transmits the monitored dangerous source signals to the information processing system, and the information processing system processes the signals and then sends the processed signals to the information analysis and processing part in the city through the communication system.
Furthermore, the information analysis and processing part in the office comprises an information receiving module, an information comparison module and an information execution module, wherein the information receiving module is used for receiving signals sent by the communication system, the information comparison module is used for comparing the received signals with the early warning threshold value, and the information execution module immediately mobilizes emergency personnel and emergency materials after the signals exceed the early warning threshold value.
Furthermore, the in-service information analysis and processing part firstly actively collects the emergent disaster information from channels such as government portal websites such as earthquake bureaus and the like, social network information such as microblogs, WeChat and forum and the like, news media, Internet of things information such as GPS and the like, establishes an on-line disaster event element analysis frame, forms a multi-dimensional multi-source real-time dynamic information source, and deeply excavates the disaster area demand characteristics by applying a big data analysis technology; secondly, identifying time and geographical position information in the online disaster information by using an online disaster information mining method and a big data deep learning method, detecting a microblog text seeking help in a disaster, and drawing a disaster area material demand continuous evolution trend graph; and thirdly, mining, analyzing, summarizing and updating in real time aiming at the state, the grade and the influence area of the disaster event, the trapped help information of disaster victims, the material demand and the like, and performing dynamic correction and empirical inspection on the emergency material demand forecast quantity by using a method combining a database and deep learning so as to provide a decision basis for accurately distributing rescue materials.
Further, the communication system comprises a sending end device, a communication device and a receiving end device, wherein the sending end device is connected with the receiving end device through the communication device, and the communication device adopts one of an exchange technology, a wireless technology and an internet of things technology.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (5)

1. The utility model provides an emergent rescue platform of city public safety which characterized in that: consists of a prior information acquisition and screening part, a prior information analysis and processing part and a post information summarization and feedback part,
the system comprises a prior information acquisition and screening part, a city danger source management cloud platform and a city information analysis and processing part, wherein the prior information acquisition and screening part is used for analyzing and processing acquired information and then sending the information to the city information analysis and processing part;
the information analysis and processing part in the affairs sets up the early warning threshold value in advance, carry on artificial intelligence analysis with the early warning threshold value in the information that the information acquisition and screening part sends in advance, screen out and start the urgent procedure and transfer the relevant resource the information that exceeds the early warning threshold value;
and the post information summarizing and feedback part is used for analyzing and summarizing the treatment effect of starting the emergency program and transferring the related resources of the information analysis and processing part in the event and feeding back the result to the user.
2. The urban public safety emergency rescue platform according to claim 1, characterized in that: the urban dangerous source management cloud platform comprises a monitoring system, a communication system and an information processing system, wherein the monitoring system transmits monitored dangerous source signals to the information processing system, and the information processing system processes the signals and then sends the processed signals to an in-business information analysis and processing part through the communication system.
3. The urban public safety emergency rescue platform according to claim 1, characterized in that: the information analysis and processing part in the affairs includes information receiving module, information comparison module and information execution module, and information receiving module is used for receiving the signal that communication system sent, and information comparison module is used for comparing the signal received with the early warning threshold value, and after the signal exceeded the early warning threshold value, information execution module moved emergency personnel and emergent material promptly.
4. The urban public safety emergency rescue platform according to claim 1, characterized in that: the method comprises the steps that an in-business information analysis and processing part firstly establishes an on-line disaster event element analysis framework by actively collecting sudden disaster information from channels such as government portal websites such as earthquake bureaus and the like, social network information such as microblogs, WeChats and forums and the like, and internet of things information such as news media and GPS and the like, so as to form a multi-dimensional multi-source real-time dynamic information source, and deeply excavate disaster area demand characteristics by applying a big data analysis technology; secondly, identifying time and geographical position information in the online disaster information by using an online disaster information mining method and a big data deep learning method, detecting a microblog text seeking help in a disaster, and drawing a disaster area material demand continuous evolution trend graph; and thirdly, mining, analyzing, summarizing and updating in real time aiming at the state, the grade and the influence area of the disaster event, the trapped help information of disaster victims, the material demand and the like, and performing dynamic correction and empirical inspection on the emergency material demand forecast quantity by using a method combining a database and deep learning so as to provide a decision basis for accurately distributing rescue materials.
5. The urban public safety emergency rescue platform according to claim 2, characterized in that: the communication system comprises a sending end device, a communication device and a receiving end device, wherein the sending end device is connected with the receiving end device through the communication device, and the communication device adopts one of exchange technology, wireless technology and Internet of things technology.
CN202010762537.7A 2020-07-31 2020-07-31 Urban public safety emergency rescue platform Pending CN111932100A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112863131A (en) * 2021-01-11 2021-05-28 浙江海峡创新科技有限公司 City disaster prevention remote measurement terminal system based on large-scale distributed cloud data
CN113034857A (en) * 2021-03-15 2021-06-25 天津科技大学 Urban natural disaster monitoring emergency management scheduling platform based on block chain
CN113139679A (en) * 2021-04-06 2021-07-20 青岛以萨数据技术有限公司 Urban road rescue early warning method, system and equipment based on neural network

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107316441A (en) * 2017-06-22 2017-11-03 安徽山鼎信息科技有限公司 A kind of Natural calamity monitoring alarm emergency system
CN110059910A (en) * 2019-02-18 2019-07-26 北京兴泰科技有限公司 Production safety emergency rescue command centre comprehensive management platform
CN110675085A (en) * 2019-10-09 2020-01-10 中电科新型智慧城市研究院有限公司 Emergency command system based on situation cooperative handling of emergency

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107316441A (en) * 2017-06-22 2017-11-03 安徽山鼎信息科技有限公司 A kind of Natural calamity monitoring alarm emergency system
CN110059910A (en) * 2019-02-18 2019-07-26 北京兴泰科技有限公司 Production safety emergency rescue command centre comprehensive management platform
CN110675085A (en) * 2019-10-09 2020-01-10 中电科新型智慧城市研究院有限公司 Emergency command system based on situation cooperative handling of emergency

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112863131A (en) * 2021-01-11 2021-05-28 浙江海峡创新科技有限公司 City disaster prevention remote measurement terminal system based on large-scale distributed cloud data
CN113034857A (en) * 2021-03-15 2021-06-25 天津科技大学 Urban natural disaster monitoring emergency management scheduling platform based on block chain
CN113139679A (en) * 2021-04-06 2021-07-20 青岛以萨数据技术有限公司 Urban road rescue early warning method, system and equipment based on neural network

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