Big data civil air defense service system

Abstract

The invention discloses a big data civil air defense service system, which comprises a data acquisition module, a data storage module, a data processing module and a service module, the data acquisition module is used for acquiring real-time state data and basic data of the civil air defense project, and constructing a civil air defense project maintenance management model according to the basic data; the data storage module is used for storing the real-time state data and the basic data of the civil air defense project; the data processing module is used for performing data integration and classification processing on the real-time state data of the civil air defense project and the basic data in the data storage module according to different data sources, different data structures and different data security levels to obtain integrated data; and the service module is used for generating a plurality of emergency disposal schemes according to the integrated data and the plurality of environmental parameter data, and screening and executing the plurality of emergency disposal schemes according to the current environmental parameter data when an emergency occurs.

Description

Technical Field

[0001] This application relates to the technical field of civil air defense projects, and particularly to a big data civil air defense service system. Background Art

[0003] At present, how to leverage big data to weave this "underground net" in civil air defense informatization has become a realistic and urgent issue facing the civil air defense system. Big data, also known as massive data, refers to the data volume involved being so huge that it cannot be captured, managed, processed, and organized into information that helps decision-making more actively within a reasonable time by the human brain or even mainstream software tools; civil air defense big data refers to the technology of collecting, organizing, and analyzing a large amount of data related to civil air defense to provide decision-making support and solutions. Its application scope is very wide, including but not limited to risk assessment in the field of urban planning, etc. These applications can effectively improve safety prevention and emergency handling capabilities. In the prior art, in the field of civil air defense, there are still many problems in the integration, analysis, and utilization of data resources. Traditional data processing methods are inefficient, difficult to cope with the decision-making of various emergencies, and the evacuation safety is reduced, unable to meet the high-efficiency data requirements of the civil air defense department. Therefore, the present invention proposes a big data civil air defense service system to solve the problems existing in the prior art. Summary of the Invention

[0004] The embodiments of this application provide a big data civil air defense service system to solve the technical problems that in the field of civil air defense, there are still many problems in the integration, analysis, and utilization of data resources, traditional data processing methods are inefficient, difficult to cope with the decision-making of various emergencies, the evacuation safety is reduced, and unable to meet the high-efficiency data requirements of the civil air defense department.

[0005] In view of this, this application provides a big data civil air defense service system, including a data acquisition module, a data storage module, a data processing module, and a service module;

[0006] The data acquisition module is used to collect the real-time status data and basic data of the civil air defense project, and construct a maintenance management model for the civil air defense project according to the basic data;

[0007] The data storage module is used to store the real-time status data and the basic data of the civil air defense project;

[0008] The data processing module is used to perform data integration and classification processing on the real-time status data and the basic data of the civil air defense project in the data storage module according to different data sources, different data structures, and different data confidentiality levels to obtain integrated data;

[0009] The service module is used to generate multiple emergency response plans based on the integrated data and various environmental parameter data, and screen and execute the multiple emergency response plans according to the current environmental parameter data in case of an emergency.

[0010] Optionally, the service module includes an operation module, an analysis module, and a decision module. The operation module is used to perform inspections of civil air defense projects, flood control, and anti-terrorism operations based on the integrated data. The analysis module is used to analyze the evacuation layout and population evacuation routes in the civil air defense area based on the integrated data, and generate multiple emergency response plans in combination with various environmental parameters. The decision module is used to process and plan the inspections of civil air defense projects, flood control, and anti-terrorism operations, and screen and execute the multiple emergency response plans according to the current environmental parameter data.

[0011] Optionally, the data acquisition module includes a real-time acquisition module and a basic acquisition module;

[0012] The real-time acquisition module is used to obtain the global spatio-temporal data of remote sensing images of the civil air defense area collected by satellite and aviation technologies using the common frequency points of GPS, and collect the specific spatio-temporal data of the civil air defense area using unmanned aerial vehicles and autonomous vehicles combined with high-definition camera devices, and then collect the network spatio-temporal data in the network and the public systems in the civil air defense area through fiber optic grating data acquisition instruments, distributed fiber optic data acquisition instruments, and vibrating wire sensing data acquisition instruments;

[0013] The basic acquisition module is used to connect to the relevant departments of civil air defense projects and collect the basic data of civil air defense projects on personnel information, facilities and equipment, and emergency response plans.

[0014] Optionally, the real-time acquisition module includes multiple real-time acquisition cameras, a first acquisition module, a second acquisition module, a third acquisition module, and a processing module. The service module includes a server, a display terminal, and multiple mobile terminals. Each camera is used to be installed at the entrance of the civil air defense project. Each camera is electrically connected to the server. Each mobile terminal is electrically connected to the server through a wireless mobile network. The server is electrically connected to the display terminal;

[0015] The first acquisition module is used to obtain the location information of each mobile terminal, and obtain the quantity information of the mobile terminals located at the entrance of each civil air defense project according to the location information of each mobile terminal;

[0016] The second acquisition module is used to obtain the videos of the entrances of the civil air defense projects captured by each camera within a preset time;

[0017] The third acquisition module is configured to acquire the crowd flow passing through the entrance of each civil air defense project within the preset time according to the change of the coordinates of each person in each video in the video.

[0018] The processing module is configured to determine whether each crowd flow matches the quantity information of the mobile terminals at the entrance of the civil air defense project. If the determination result is non-matching, the videos corresponding to each non-matching crowd flow are sent to the display terminal for display.

[0019] Optionally, the processing module includes a determination unit and a processing unit. The determination unit is configured to determine whether each crowd flow matches the quantity information of the mobile terminals at the entrance of the civil air defense project and obtain a determination result. The processing unit is configured to, when the determination result is that each crowd flow is determined to be matching, send the videos corresponding to each crowd flow to the display terminal, and when the determination result is that at least one crowd flow is determined to be non-matching, send the videos corresponding to each non-matching crowd flow to the display terminal.

[0020] Optionally, the first acquisition module includes a position acquisition unit and a quantity acquisition unit. The position acquisition unit is configured to acquire the position information of each mobile terminal. The quantity acquisition unit is configured to acquire the quantity information of the mobile terminals within a preset distance from the entrance of each civil air defense project according to the position information of each mobile terminal.

[0021] Optionally, the data acquisition module includes a model construction module. The model construction module is configured to, according to the data processed by the data processing module, use the principle of Exchangeable Image File (EXIF) to fuse the spatial position information of the civil air defense area and the engineering basic data with digital images as the carrier, construct a data model, and embed the associated spatio-temporal information and engineering basic data into the physical structure of the digital images to achieve the fusion of the associated multi-source data of the civil air defense area.

[0022] Optionally, the data storage module is a combination of a HADOOP database and a relational database. The data storage module stores the real-time status data of the civil air defense project and the engineering basic data in real time, and marks the time and space data.

[0023] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0024] A big data civil air defense service system provided by the present application, compared with the prior art, collects and converges real-time status data of civil air defense projects through a data collection module, combines the basic data of civil air defense projects, constructs a data model for the maintenance and management of civil air defense projects, analyzes the evacuation layout and population evacuation routes in the civil air defense area through an analysis module, and proposes multiple solutions based on multiple environmental parameters. When an emergency occurs, the decision-making module screens and executes multiple solutions according to the current environmental parameters, which is beneficial to improving the decision-making efficiency and meeting the high-efficiency demand for data of the civil air defense department;

[0025] The server first obtains the quantity information of mobile terminals at the entrance of each civil air defense project, and then obtains the crowd flow passing through the entrance of each civil air defense project within a preset time according to the video at the entrance of each civil air defense project. Furthermore, the server determines whether each crowd flow matches the quantity information of the mobile terminals at the entrance of the civil air defense project, and when it is determined that they do not match, sends the videos corresponding to each unmatched crowd flow to the display terminal. Each unmatched crowd flow indicates that the total number of evacuees to this civil air defense project is large and the evacuation pressure is high. Therefore, by displaying the videos corresponding to each unmatched crowd flow on the display terminal, the evacuation situation to the civil air defense project is classified and optimized, and the situation at the entrance of the civil air defense project in each video with a large total number of evacuees is given priority attention by the staff in the central control room, realizing the priority attention to the civil air defense projects with a large total number of evacuees to ensure the safety of evacuation. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0027] Figure 1 It is a system block diagram of a big data civil air defense service system provided in the embodiments of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.

[0029] For easy understanding, please refer to Figure 1, an embodiment of a big data civil air defense service system provided by the present application includes a data collection module, a data storage module, a data processing module, and a service module; the data collection module is used to collect real-time status data and basic data of civil air defense projects, and construct a maintenance management model for civil air defense projects according to the basic data; the data storage module is used to store the real-time status data and basic data of civil air defense projects; the data processing module is used to perform data integration and classification processing on the real-time status data and basic data of civil air defense projects in the data storage module according to different data sources, different data structures, and different data confidentiality levels to obtain integrated data; the service module is used to generate multiple emergency response plans based on the integrated data and multiple environmental parameter data, and screen and execute multiple emergency response plans according to the current environmental parameter data in case of an emergency; the service module includes an operation module, an analysis module, and a decision-making module. The operation module is used to perform inspections, flood control, and anti-terrorism operations on civil air defense projects according to the integrated data; the analysis module is used to analyze the evacuation layout of civil air defense areas and the population evacuation routes according to the integrated data, and generate multiple emergency response plans in combination with multiple environmental parameters; the decision-making module is used to process and plan the inspections, flood control, and anti-terrorism operations of the civil air defense projects, and screen and execute multiple emergency response plans according to the current environmental parameter data. When in use, the real-time status data of the civil air defense project is collected through the data collection module, combined with the basic data of the civil air defense project, to construct a maintenance management data model for the civil air defense project. Then, the evacuation layout of the civil air defense area and the population evacuation routes are analyzed through the analysis module, and multiple emergency response plans are generated in combination with multiple environmental parameters. Then, in case of an emergency, the decision-making management module screens and executes multiple plans of the intelligent analysis module according to the current environmental parameters, which is beneficial to improving the decision-making efficiency and meeting the high-efficiency requirements of the civil air defense department for data; for big data applications, data is the foundation. At the same time, with the help of the Internet of Things technology, a civil air defense service system is built to maximize the digital management of civil air defense facilities and equipment, and comprehensively utilize sensor technology, machine vision, image recognition, etc. to obtain, connect, and collect more diverse data.

[0030] Specifically, the inspection of civil air defense projects is as follows: video monitoring is carried out on the main entrances and exits and passages of civil air defense projects, the status parameters of equipment and facilities in the project are monitored, the situation of the project and equipment is recorded in real time, and problems are automatically alarmed, and an alarm is given when the status parameters of equipment and facilities are abnormal; the flood control of civil air defense projects is as follows: the water inlet situation of the main channels and light wells of civil air defense projects is recorded, and combined with the water level sensing technology, the flood inlet monitoring and alarm of the project during the flood season are carried out; the anti-terrorism of civil air defense projects is as follows: based on infrared human body sensors, the main entrances and exits and passages of civil air defense projects are detected, and combined with video monitoring, the entry and exit situation of project personnel is grasped in real time, and automatic photographing, video recording, and voice warning are realized.

[0031] Furthermore, the data acquisition module includes a real-time acquisition module and a basic acquisition module. The real-time acquisition module is used to obtain the global spatio-temporal data of the remote sensing images of the civil air defense area collected by satellite and aviation technologies using the common frequency points of GPS, and collect the specific spatio-temporal data of the civil air defense area by combining drones and autonomous vehicles with high-definition camera devices. Then, it collects the network spatio-temporal data in the network and the public systems of the civil air defense area through fiber Bragg grating data acquisition instruments, distributed fiber data acquisition instruments, and vibrating wire sensing data acquisition instruments. The basic acquisition module is used to connect to the relevant departments of civil air defense projects and collect the basic data of civil air defense projects regarding personnel information, facilities and equipment, and emergency plans. Specifically, the data is input into the metadata management module MDMS, where the data set is described through rule protocols in the metadata management module MDMS. The protocol parsing engine starts the listening program or pulling, crawling, etc. programs for the protocols configured in the metadata management module, parses the data set and then performs preprocessing, extracts the effective data after preprocessing, and then stores the effective data into the data storage module according to the configured storage rules.

[0032] Furthermore, the data acquisition module includes a model construction module. The model construction module is used to fuse the spatial location information of the civil air defense area and the engineering basic data with digital images as the carrier based on the data processed by the data processing module using the principle of the Exchangeable Image File EXIF, construct a data model, and embed the associated spatio-temporal information and engineering basic data into the physical structure of the digital image to achieve the fusion of multiple data of the associated civil air defense area. Specifically, the model is displayed on the computer monitor, and through the model, the spatial location information of the civil air defense area and the engineering basic data can be intuitively understood, which is convenient for management personnel to quickly obtain data and facilitate manual decision-making. By constructing a data model, through data analysis and data mining, the potential value hidden in the massive data is discovered, and the data potential is converted into application value through the data model, and finally the application of big data is realized to assist the construction and development of the civil air defense cause.

[0033] Furthermore, the data storage module is a combination of a HADOOP database and a relational database. The data storage module stores the real-time status data of civil air defense projects and the basic data of civil air defense projects in real time, and marks the time and spatial data.

[0034] Further, the real-time acquisition module includes multiple real-time acquisition cameras, a first acquisition module, a second acquisition module, a third acquisition module, and a processing module. The service module includes a server, a display terminal, and multiple mobile terminals. The server can be a network server, a database server, etc. The display terminal can be a TV, an LED display, a projection display device, etc. Each camera is used to be installed at the entrance of the civil air defense project, and each camera is electrically connected to the server. Therefore, each camera can continuously send the captured video to the server. Each mobile terminal is electrically connected to the server through a wireless mobile network. The mobile terminal can be a tablet computer, a smart phone, a personal digital assistant. Each mobile terminal can be the mobile phone carried by the staff when they are involved in the evacuation work of the people. The mobile terminal can be electrically connected to the server through a wireless mobile data network. Therefore, each mobile terminal can send its own location information to the server. The server is electrically connected to the display terminal. The first acquisition module is used to acquire the location information of each mobile terminal and obtain the quantity information of the mobile terminals located at the entrance of each civil air defense project according to the location information of each mobile terminal. The second acquisition module is used to acquire the videos captured at the entrance of the civil air defense project sent by each camera within a preset time. The third acquisition module is used to obtain the crowd flow passing through the entrance of each civil air defense project within a preset time according to the change of the coordinates of each person in each video. The processing module is used to judge whether each crowd flow matches the quantity information of the mobile terminals at the entrance of the civil air defense project. If the judgment result is not a match, the videos corresponding to each unmatched crowd flow are sent to the display terminal for display. Specifically, the display terminal parses and plays the received videos in real time. If the video received by the display terminal is one, the display terminal plays the video in real time. If the videos received by the display terminal are multiple, the display terminal plays the multiple videos in real time on the same display interface. If the videos received by the display terminal are multiple in sequence, the display terminal plays each video in sequence on the same display interface in the order of reception. The staff in the central control room can know the evacuation situation at the entrances of each civil air defense project and the evacuation situation at the entrances of the civil air defense projects that need to be prioritized and focused on by watching the videos displayed on the display terminal, realizing the priority attention to the civil air defense projects with a large number of evacuated people to ensure the safety of the evacuation.

[0035] Further, the processing module includes: a judgment unit and a processing unit. The judgment unit is used to judge whether each crowd flow matches the quantity information of the mobile terminals at the entrance of the civil air defense project and obtain the judgment result. The processing unit is used to, when the judgment result is that each crowd flow is judged to match, send the videos corresponding to each crowd flow to the display terminal, and when the judgment result is that at least one crowd flow does not match, send the videos corresponding to each unmatched crowd flow to the display terminal.

[0036] Further, the first acquisition module includes a location acquisition unit and a quantity acquisition unit; the location acquisition unit is configured to acquire the location information of each mobile terminal; the quantity acquisition unit is configured to acquire the quantity information of the mobile terminals within a preset distance from the entrance of each civil air defense project according to the location information of each mobile terminal.

[0037] The terms "first", "second", "third", "fourth", etc. (if any) in the description of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances so that the embodiments of the present application described herein can be implemented in an order different from those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0038] As described above, the above embodiments are only used to illustrate the technical solutions of the present application and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A big data civil air defense service system, characterized in that: It includes data acquisition module, data storage module, data processing module and service module; The data acquisition module is used to collect real-time status data and basic data of civil air defense projects, and to build a maintenance management model for civil air defense projects based on the basic data; The data storage module is used to store the real-time status data of the civil air defense project and the basic data; The data processing module is used to perform data integration and classification processing on the real-time status data of the civil air defense project and the basic data in the data storage module according to different data sources, different data structures and different data confidentiality levels to obtain integrated data; The service module is used to generate a variety of emergency response plans based on the integrated data and a variety of environmental parameter data, and to screen and execute the various emergency response plans based on the current environmental parameter data when an emergency occurs.

2. A big data civil air defense service system according to claim 1, characterized in that: The service module includes an operation module, an analysis module and a decision-making module. The operation module is used to perform civil air defense project inspections, flood prevention and anti-terrorism operations based on the integrated data; the analysis module is used to analyze the civil air defense area evacuation layout and population evacuation path based on the integrated data, and generate multiple emergency response plans in combination with multiple environmental parameters; the decision-making module is used to process and plan the civil air defense project inspections, flood prevention and anti-terrorism operations, and screen and execute the multiple emergency response plans based on current environmental parameter data.

3. A big data civil air defense service system according to claim 1, characterized in that: The data acquisition module includes a real-time acquisition module and a basic acquisition module; The real-time acquisition module is used to use the public frequency points of GPS to obtain the global spatiotemporal data of remote sensing images of civil air defense areas collected by satellite and aviation technology, and to use drones and automatic driving vehicles combined with high-definition camera equipment to collect specific spatiotemporal data of civil air defense areas, and then use fiber grating data acquisition instruments, distributed optical fiber data acquisition instruments and steel string sensor data acquisition instruments to collect network spatiotemporal data in the network and the public system of civil air defense areas; The basic collection module is used to access the relevant departments of civil air defense projects and collect basic data on civil air defense projects regarding personnel information, facilities and equipment, and emergency plans.

4. A big data civil air defense service system according to claim 3, characterized in that: The real-time acquisition module includes a plurality of real-time acquisition cameras, a first acquisition module, a second acquisition module, a third acquisition module and a processing module; the service module includes a server, a display terminal and a plurality of mobile terminals; each of the cameras is used to be installed at the entrance of the civil air defense project; each of the cameras is electrically connected to the server; each of the mobile terminals is electrically connected to the server via a wireless mobile network; and the server is electrically connected to the display terminal; The first acquisition module is used to acquire the location information of each of the mobile terminals, and acquire the quantity information of the mobile terminals located at the entrance of each of the civil air defense projects according to the location information of each of the mobile terminals; The second acquisition module is used to acquire the video of the entrance of the civil air defense project shot by each camera within a preset time; The third acquisition module is used to acquire the crowd flow passing through the entrance of each air defense project within the preset time according to the change of the coordinates of each person in each video in the video; The processing module is used to determine whether each crowd flow matches the number information of the mobile terminals at the entrance of the civil air defense project. If the judgment result is mismatch, the video corresponding to each mismatched crowd flow will be sent to the display terminal for display.

5. A big data civil air defense service system according to claim 4, characterized in that: The processing module includes: a judgment unit and a processing unit; the judgment unit is used to judge whether each of the crowd flows matches the number information of the mobile terminals at the entrance of the civil air defense project, and obtain a judgment result; the processing unit is used to send the video corresponding to each of the crowd flows to the display terminal when the judgment result is that each of the crowd flows matches, and send the video corresponding to each of the unmatched crowd flows to the display terminal when the judgment result is that at least one of the crowd flows does not match.

6. A big data civil air defense service system according to claim 4, characterized in that: The first acquisition module includes: a position acquisition unit and a quantity acquisition unit; the position acquisition unit is used to acquire the position information of each of the mobile terminals; the quantity acquisition unit is used to acquire the quantity information of the mobile terminals located within a preset distance from the entrance of each of the civil air defense projects based on the position information of each of the mobile terminals.

7. A big data civil air defense service system according to claim 3, characterized in that: The data acquisition module includes a model building module, which is used to fuse the spatial position information of the civil defense area and the basic engineering data based on the data processed by the data processing module and the exchangeable image file EXIF ​​principle with the digital image as the carrier to build a data model, and embed the associated spatiotemporal information and basic engineering data into the physical structure of the digital image to realize the fusion of multiple data of the associated civil defense area.

8. The big data civil air defense service system according to claim 1, characterized in that: The data storage module is a combination of a HADOOP database and a relational database. The data storage module stores real-time status data and basic data of civil air defense projects, and marks time and space data.

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