CN110689281A - Artificial intelligence emergency command scheduling system based on 5G Internet of things - Google Patents
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Abstract
The invention relates to an artificial intelligence emergency command dispatching system based on a 5G Internet of things.A disaster monitoring subsystem analyzes disaster development trends according to disaster alarm information and historical disaster data and automatically gives an early warning; the information support subsystem inquires a plurality of image layer data in a preset range according to disaster positions so as to assist the scheduling subsystem to determine a disposal scheme; the warning situation pre-judging and identifying subsystem carries out warning on the disaster situation according to the collected disaster situation related information on the Internet; the auxiliary dispatching subsystem customizes a disposal scheme according to the disaster warning information and the layer data, and issues the disposal scheme to a corresponding rescue unit or rescue department; the combat subsystem establishes a communication group through audio and video image transmission equipment of a disaster site to acquire real-time dynamics of the disaster site; the disaster evaluation subsystem evaluates the disaster grade to determine rescue equipment information; the equipment management system manages information of the rescue equipment and collects the rescue equipment to the collection point for rescue. Provides decision basis and guidance support for the combat command.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to an artificial intelligence emergency command and dispatching system based on a 5G Internet of things.
Background
With the development of science and technology, 5G (5th generation mobile communication technology) transmission technology and internet of things technology are gradually applied to various aspects of people's life, such as the mobile communication field and the command and scheduling system.
However, the existing mobile communication technology, commanding and scheduling system and the like have the following problems in the process of construction, use and the like: the information transmission rate is low, and the time delay is high; the command scheduling efficiency is low due to lack of information and scientific means support; the risk prevention and control and the social linkage are insufficient, the passive response is dominant, and the prevention and the elimination are lack of tight combination.
Disclosure of Invention
In view of this, an artificial intelligence emergency command scheduling system based on the 5G internet of things is provided to solve the problems of low scheduling efficiency, risk prevention and control and insufficient social linkage in the emergency scheduling system in the prior art.
The invention adopts the following technical scheme:
the embodiment of the application provides an artificial intelligence emergency command dispatch system based on 5G thing networking, and this system includes disaster monitoring subsystem, information support subsystem, warning condition prejudgement discernment subsystem, auxiliary dispatching subsystem, operation subsystem, disaster evaluation subsystem and equipment management subsystem, wherein:
the disaster monitoring subsystem is used for acquiring disaster alarm information in real time, analyzing the current disaster development trend according to the disaster alarm information and historical disaster data, and performing automatic early warning;
the information supporting subsystem is used for inquiring a plurality of layer data within a preset range of disaster positions according to the disaster positions so that the auxiliary scheduling subsystem can determine a disposal scheme according to the layer data;
the warning condition pre-judging and identifying subsystem is used for carrying out disaster condition pre-warning according to the collected disaster condition related information on the Internet;
the auxiliary scheduling subsystem is used for customizing a disposal scheme according to the disaster warning information and the layer data and sending the disposal scheme to a corresponding rescue unit or a corresponding rescue department;
the operation subsystem is used for establishing a communication group through audio and video image transmission equipment of a disaster site so that rescue workers can acquire real-time dynamic states of the disaster site through the communication group;
the disaster evaluation subsystem is used for evaluating a disaster grade according to the disaster alarm information so as to determine rescue equipment information according to the disaster grade;
the equipment management system is used for managing the information of the rescue equipment and collecting the rescue equipment to a gathering point for rescue according to the disaster warning information and the disposal scheme.
And further, the system also comprises a basic data maintenance subsystem, wherein the basic data maintenance subsystem is used for collecting and maintaining basic data required by the emergency command operation.
The system further comprises a geographic information system, wherein the geographic information system is used for storing, managing and analyzing geographic information and providing a visual interface based on the geographic information according to basic data.
Furthermore, the intelligent navigation system is used for indicating the rescue equipment to a disaster point to rescue according to a path planning scheme.
Further, the path planning scheme is determined by the server according to the disaster position, the fire fighting resource position and the path planning algorithm, wherein the fire fighting resource comprises rescue equipment.
Further, the basic data includes:
water source information, road information, building information, screen viewing information and emergency rescue unit information.
Further, the disaster warning information includes a disaster type, a disaster grade, an occurrence area, and an occurrence time.
Further, the layer data comprises fire brigade, fire station, professional rescue team, key units, building general, water source, view screen point and urban high-point thermal imaging data information.
Further, the rescue equipment information comprises basic equipment information, equipment inventory quantity, equipment positioning and equipment picking-up records.
Further, the disaster grade comprises a disaster spreading tendency, a disaster influence range and the rescue equipment grade.
The emergency command dispatching system in the embodiment of the application comprises a plurality of subsystems, and each subsystem completes respective functions on the basis of interconnection and intercommunication of other subsystems. Specifically, the disaster monitoring subsystem realizes monitoring, analysis and early warning of the disaster; the information support subsystem realizes the acquisition of the layer data within the disaster position preset range; the warning situation pre-judging and identifying subsystem realizes the warning of the disaster situation according to the disaster situation information on the Internet; the auxiliary scheduling subsystem realizes the customization and issuing of a disaster disposal scheme; the fighting subsystem is used for acquiring real-time dynamics of a disaster scene through on-site image transmission equipment; the disaster evaluation subsystem realizes the evaluation of disaster grades and determines rescue equipment information according to the disaster grades; the equipment management subsystem realizes rescue of the set of rescue equipment. Generally provides decision basis and guidance support for fire fighting and other combat commands.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an artificial intelligence emergency command and dispatch system based on a 5G internet of things according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of another artificial intelligence emergency command and dispatch system based on the 5G internet of things according to an embodiment of the present invention;
fig. 3 is a block diagram of an overall logic structure of an artificial intelligence emergency command and dispatch system based on a 5G internet of things according to an embodiment of the present disclosure;
fig. 4 is a flow chart of commanding, scheduling and disposing of an artificial intelligence emergency commanding and scheduling system based on the 5G internet of things according to the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
First, a 5G technology and an internet of things technology will be briefly described. 5G is the latest generation of cellular mobile communication technology with performance goals of high data rate, reduced latency, energy savings, reduced cost, increased system capacity and large-scale device connectivity. Illustratively, the first phase of the 5G specification in Release-15 is to accommodate early commercial deployments; the second phase of Release-16 will be completed in month 4 of 2020 and submitted to the International Telecommunications Union as a candidate for IMT-2020 technology; the ITU IMT-2020 specification requires speeds up to 20Gbit/s, and can realize wide channel bandwidth and large-capacity input and output.
The Internet of Things (IOT) is to collect any object or process needing monitoring, connection and interaction in real time and collect various required information such as sound, light, heat, electricity, mechanics, chemistry, biology and location through various devices and technologies such as various information sensors, radio frequency identification technology, global positioning system, infrared sensor and laser scanner, and to realize ubiquitous connection of objects and people through various possible network accesses, and to realize intelligent sensing, identification and management of objects and processes. The internet of things is an information bearer based on the internet, a traditional telecommunication network and the like, and all common physical objects which can be independently addressed form an interconnected network.
Artificial Intelligence (AI) is a new technical science to study and develop theories, methods, techniques and application systems for simulating, extending and expanding human Intelligence.
The emergency command scheduling system in the embodiment of the application integrates and applies 5G, the Internet of things and artificial intelligence, and the technical scheme of the application is realized by using the advantages of all technologies.
Examples
Fig. 1 is a schematic structural diagram of an artificial intelligence emergency command scheduling system of a 5G internet of things according to an embodiment of the present invention. Referring to fig. 1, the system may specifically include: the disaster monitoring subsystem 11, the information supporting subsystem 12, the warning condition pre-judging and identifying subsystem 13, the auxiliary scheduling subsystem 14, the fighting subsystem 15, the disaster evaluation subsystem 16 and the equipment management subsystem 17.
The disaster monitoring subsystem 11 is configured to obtain disaster warning information in real time, analyze a current disaster development trend according to the disaster warning information and historical disaster data, and perform automatic early warning; the information support subsystem 12 is used for querying a plurality of layer data within a preset range of disaster positions according to the disaster positions, so that the auxiliary scheduling subsystem 14 determines a disposal scheme according to the layer data; the warning condition pre-judging and identifying subsystem 13 is used for carrying out disaster condition pre-warning according to the collected disaster condition related information on the Internet; the auxiliary scheduling subsystem 14 is used for customizing a disposal scheme according to the disaster warning information and the image layer data, and sending the disposal scheme to a corresponding rescue unit or a corresponding rescue department; the operation subsystem 15 is used for establishing a communication group through audio and video image transmission equipment of a disaster site so that rescue workers can acquire real-time dynamic states of the disaster site through the communication group; the disaster evaluation subsystem 16 is used for evaluating a disaster grade according to the disaster alarm information so as to determine rescue equipment information according to the disaster grade; the equipment management system 17 is used for managing rescue equipment information and collecting rescue equipment to a collection point for rescue according to disaster warning information and a disposal scheme.
Specifically, the user of the disaster monitoring subsystem 11 receives disaster warning information from a warning person, and then statistically analyzes historical disaster data. The method and the device have the advantages that the method and the device are combined with the disaster type, the disaster grade, the occurrence area and the occurrence time in the current disaster alarm information, and the multi-dimensional analysis function is realized according to the statistical results of the disaster type, the disaster grade, the occurrence area and the occurrence time on the historical disaster, so that the development trend of the disaster is known from multiple dimensions, the intelligent automatic early warning is realized, the disasters and casualties can be reduced, and the basis is further provided for commanding and scheduling. The disaster grade comprises a disaster spreading trend, a disaster influence range, a rescue equipment grade and the like. In a specific example, the alarm person can alarm through a mobile phone of the alarm person, and then describe the seen alarm condition to the alarm receiver, and the alarm receiver determines the disaster alarm information according to the description of the alarm person.
The information support subsystem 12 is used for battle command decision support, for example, according to the disaster position, a plurality of image layer data within a preset range of the disaster position is queried, wherein the preset range may be within a certain range around the disaster occurrence area, so that the auxiliary scheduling subsystem 14 can determine a disposal scheme according to the image layer data. In a specific example, the layer data may be data including information of fire brigade, fire station, professional rescue team, key unit, building profile, water source, view point and urban high-point thermal imaging data, for example, the layer data may be displayed by professional software so that a user can intuitively know the currently available and available resources through the acquired layer data. Therefore, the distribution conditions of various fire stations, fire brigades and the like can be obtained according to the layer data so as to assist the scheduling subsystem to determine a disposal scheme matched with the current disaster situation, and the maximum utilization of resources is realized.
The warning condition pre-judging and identifying subsystem 13 is used for early warning of disaster conditions and monitoring real-time conditions of the disaster conditions, and specifically, intelligently acquires relevant messages on the internet, wherein the messages on the internet can be weather forecast information, such as typhoon and the like; the collected disaster situation related information on the Internet, namely, the mass data on the Internet is mined to assist in identifying disaster situations, and early warning of the disaster situations is realized. In a specific example, before a typhoon comes, different coping schemes are specified for different areas, for example, people who are in areas where mountain torrents are likely to break out are transferred, so that the effect of early warning of disaster situations through internet information is achieved.
The auxiliary scheduling subsystem 14 is used for performing initial treatment on the disaster, issuing a treatment command, customizing a treatment scheme and a treatment key point according to the disaster type, the disaster grade, the disaster position, the historical treatment process and the like in the current disaster alarm information and the data of each layer; in addition, required emergency linkage units, disposal experts, etc.; in addition, the system can also assist commanders in commanding and deciding, and quickly issue a command and dispatching scheme and/or call a disaster-related plan to a first-closing rescue linkage unit and/or department according to disaster grades, disaster types, disaster positions and spreading trends. In a specific example, the type of disaster is a fire, a flood, or a natural disaster such as typhoon; the grade of the disaster can indicate the severity of the disaster; the location of the disaster can be where the disaster specifically occurs, and can be represented by longitude and latitude, for example; the historical disposal process can be what disposal schemes are respectively adopted for different disasters. The historical disposal process can provide reference for the disposal process so as to better dispose the disaster in the disposal process.
The combat subsystem 15 is used for quickly establishing a communication group, accessing a field 3G or 4G dynamic audio and video through a field audio and video image transmission device, assisting a solution proposal given by the scheduling subsystem, quickly contacting rescue workers and realizing information intercommunication of all members; the auxiliary rescue personnel can master the real-time dynamic situation of the site, quickly collect all the related emergency rescue personnel and realize the interconnection and intercommunication of all the member information. Therefore, all members can acquire on-site disaster-related information in time and adjust rescue strategies in time, or rescue in places with serious disasters in time and the like.
The disaster evaluation subsystem 16 is used for judging disaster grades and calculating rescue force; according to the related information of the disaster situation site of the mobile phone and a scientific calculation formula and method, the spreading trend of the disaster situation, required rescue equipment and the disaster influence range are quickly calculated; and quickly estimating information such as disaster spreading tendency, influence range, required rescue equipment and the like according to the received alarm related information. Therefore, the required rescue equipment can be collected according to disaster grades and spreading trends, so that on one hand, effective rescue can be realized, and on the other hand, rescue resources can not be wasted.
In the equipment management system 17, the rescue equipment information includes basic equipment information, the number of equipment stocks, equipment positioning, equipment pickup records, and the like. The equipment management system is used for managing basic information, inventory, positioning and the like of all equipment including vehicles and special equipment; and managing special equipment information of emergency rescue. And data support is provided for disaster recovery deduction and disaster equipment calling set. According to the issued command scheduling scheme and disaster related information, equipment is called to a related gathering point, and emergency rescue of disaster is achieved by matching with related rescue force. This ensures effective use of the rescue equipment.
The emergency command dispatching system in the embodiment of the application comprises a plurality of subsystems, and each subsystem completes respective functions on the basis of interconnection and intercommunication of other subsystems. Specifically, the disaster monitoring subsystem realizes monitoring, analysis and early warning of the disaster; the information support subsystem realizes the acquisition of the layer data within the disaster position preset range; the warning situation pre-judging and identifying subsystem realizes the warning of the disaster situation according to the disaster situation information on the Internet; the auxiliary scheduling subsystem realizes the customization and issuing of a disaster disposal scheme; the fighting subsystem is used for acquiring real-time dynamics of a disaster scene through on-site image transmission equipment; the disaster evaluation subsystem realizes the evaluation of disaster grades and determines rescue equipment information according to the disaster grades; the equipment management subsystem realizes rescue of the set of rescue equipment. Generally provides decision basis and guidance support for fire fighting and other combat commands.
In a specific example, fig. 2 shows a schematic structural diagram of another artificial intelligence emergency command and dispatch system based on the 5G internet of things.
Optionally, the emergency command scheduling system in the embodiment of the present application further includes a basic data maintenance subsystem 18, where the basic data maintenance subsystem 18 is configured to collect and maintain basic data required by the emergency command operations.
Wherein the basic data includes: water source information, road information, building information, screen viewing information and emergency rescue unit information. And the basic data maintenance subsystem collects basic data required by application command operation by a user and realizes the collection and maintenance of the basic data required by corresponding first aid. The system specifically comprises water source information, such as natural water source information, fire hydrant information and the like, and further comprises road information, building information, video information, emergency rescue unit information and the like. The screen point information may be the number of screens set in a certain area, etc.; in addition, fire-fighting key units, such as flammable and explosive buildings, high-rise buildings, underground buildings, large buildings, chemical engineering units and the like can be included. Therefore, after the basic data are collected, the maintenance is carried out, and the calling or the function realization of other subsystems according to the respective data of the memorability of the basic data is facilitated.
Optionally, the emergency command and dispatch system in the embodiment of the present application further includes a geographic information system 19, where the geographic information system is used to store, manage, and analyze geographic information, and provide a visualization interface based on the geographic information according to basic data.
Specifically, the geographic information system is used for visualization of disaster treatment, provides various spatial and dynamic geographic information timely by using a geographic model analysis method based on geographic spatial data, mainly stores, manages and analyzes the geographic information, and provides a visualization interface based on the geographic information according to basic data. Therefore, a visual interface is provided for a user from a visual angle, and the user can know geographic information around the disaster from a more visual angle so that rescue workers can timely take corresponding rescue measures according to the geographic information.
Optionally, the emergency command scheduling system in the embodiment of the present application further includes an intelligent navigation system 20, and the intelligent navigation system 20 is configured to instruct the rescue equipment to reach a disaster point according to the path planning scheme to perform rescue.
Specifically, the intelligent navigation system assists fire rescue force to rapidly and unilaterally rescue to disaster points, wherein a path planning scheme is determined by the server according to disaster positions, fire resource positions and a path planning algorithm, and the fire resources comprise rescue equipment. And the server provides an optimal path planning scheme from the fire-fighting resource to the alarm position according to the occurrence position of the alarm. In detail, if the occurrence position of a certain alarm is a and the position of the fire-fighting resource is B, the server may obtain an optimal path planning scheme for transporting the fire-fighting resource to the position a, that is, the shortest path between the alarm position a and the fire-fighting resource position B, according to the position information of the position a and by using a shortest path algorithm in the prior art, such as an iteration method, a dynamic planning method, and the like. Therefore, a path planning algorithm is applied, so that the fire fighting resources can be guaranteed to rapidly reach the alarm position, manpower and material resources are saved, the efficiency of the emergency dispatching system is improved, and the efficiency of disaster rescue is further improved.
In order to make the technical solutions of the examples of the present application easier to understand, some alternative embodiments are also provided in the examples of the present application. For example, the emergency command scheduling system can also determine whether other emergency linkage units need to provide services according to the received disaster-related information, and send related service preparation notifications to the related emergency linkage units; in addition, before the relevant emergency linkage unit is sent the relevant service preparation notice, the optimal emergency linkage unit can be determined. Illustratively, the information of the related services further includes medical services, expert consultations and the like, wherein the medical services include medical rescue information, and the expert consultations include information of related consultations of professional field rescue services and the like. Therefore, the resources of the emergency communication unit can be fully utilized, and the maximum use is realized on the basis of not wasting the resources.
Each subsystem can be constructed on the server and performs data interaction with the server. After receiving the information of the related services, the server performs risk prediction through system analysis, according to a history processing record or a prediction algorithm and the like. For example, the system can determine which aspect of the problem is specific according to the warning information, casualty information, risk prediction and treatment suggestions, historical treatment suggestions of related problems and the like acquired in the processes of acquiring on-site audio/video, on-site human observation and the like, and determine whether an emergency linkage unit service request is needed; the server can also determine whether an emergency linkage unit service request is needed directly through human decision after receiving the part of information, and after determining that the emergency linkage unit service request is needed, the server determines the optimal service provider and sends a service preparation notice to the service provider. The best service provider can perform multi-dimensional matching according to the existing data in the system, such as matching the best service provider in consideration of the distance of the service provider, the type of the service provider, cases for historically processing the problems, relevant conditions specified by the customers and the like. Therefore, the decision basis and the guidance support are improved for the emergency command and dispatch system from another angle.
In addition, the emergency command scheduling system in the embodiment of the application may also call a third-party application software interface to call a corresponding function of third-party software. For example, the third party application software includes IM (Instant Messaging) and positioning software. Thus, the corresponding functions, such as instant messaging and positioning, can be realized by third-party software.
In addition, the emergency command scheduling system in the embodiment of the present application may further include receiving a service notification, a task reminder, and/or an information early warning, where the reminding and early warning may be in a form of voice and/or text, which is not limited herein. In each subsystem, the disposal records of the whole emergency rescue overall process point can be automatically recorded. Therefore, more data can be accumulated, and reference is made for commanding and scheduling work in case of disaster.
In another alternative embodiment, the basic data collection and maintenance platform provides emergency rescue service basic data based on geographic location coordinates. And the disaster monitoring subsystem processes and analyzes the disaster according to dimensions such as disaster type, disaster position, disaster grade and the like. And positioning on a map according to the disaster situation position, calling the disaster situation peripheral screen points according to the existing resource analysis of the server, and acquiring the latest dynamic state of the disaster situation site in real time. Based on server big data analysis, the system comprises at least one of information of disaster-stricken building information, information of surrounding key units, real-time police force distribution, and rescue goods inventory and distribution; the building information can comprise design drawings, parameters and the like of the building; the key unit information can comprise high-rise buildings, underground buildings, large-scale complexes, petrochemical enterprises and the like; the real-time rescue force distribution can comprise enterprise micro-stations, full-time teams, government fire-fighting teams, professional rescue teams and the like; the rescue material information can include rescue materials needed in disaster situations, such as fire extinguishing foam, high pressure water wheels, fire hydrants, unmanned aerial vehicles, satellite portable stations, and the like. Therefore, various types of rescue resources can be fully utilized, and the current disaster type, position and other information are combined for rescue.
In addition, the system can also store emergency plans of disasters, for example, a storage module is arranged in the server and used for storing the emergency plans of the disasters and linkage unit data related to the periphery of the disasters. The emergency plan can be a disaster emergency plan, a rescue plan, a disposal plan aiming at an emergency and the like; in case of satisfying the plan extraction condition, the corresponding processing plan can be extracted; when a plurality of units are needed to jointly command and dispatch, a plurality of emergency linkage units can be contacted and communicated. The processing plan and the emergency linkage unit can be prestored in the server in advance.
In addition, fig. 3 shows a block diagram of an overall logic structure of an artificial intelligence emergency command and dispatch system based on the 5G internet of things. Fig. 3 further includes a disaster convergence subsystem, a war evaluation summary subsystem, and the like, specifically, in the embodiment of the present application, the subsystems are mainly distributed in an application layer, and in addition, as other peripheral systems and devices, an internet browser and a mobile terminal of a presentation layer are further included in a general logical structure; a GIS (Geographic Information System) platform, a workflow platform, a data exchange platform, a security authentication service, GIS positioning, a log service, a message engine and the like of a server layer; the data warehouse mainly comprises a resource database, a spatial database, a service database, a message log database, other databases and the like; in addition, the system also interacts with standard specifications and policy legislation, maintenance and support body systems, safety assurance systems and emergency rescue organization structures.
In addition, fig. 4 shows a flow chart of commanding, scheduling and disposing of the artificial intelligent emergency commanding and scheduling system based on the 5G internet of things. Specifically, after receiving the disaster warning information, information such as a contact way, a disaster basic situation, a disaster recording and the like of the warning person is obtained. The system judges whether the alarm information is a real and effective alarm condition or not through an intelligent calculation and manual intervention judgment mode. Meanwhile, disaster treatment links are pushed to the alarm. The alarm person can upload pictures and/or videos of the disaster situation through the link to assist in positioning the real position of the disaster situation. The monitoring center displays the disposal objects and the surrounding situation according to the disaster situation positions, judges whether a rescue plan exists or not and automatically pushes the disposal plan to the disposal personnel. And after the disposers go to the site and receive the dispatch lists, quickly collecting the required equipment according to the disaster position, type and grade, and navigating to the disaster site for disposal. If the disaster is surrounded by the full-time teams and/or the mini-stations, the disaster can be detected and disposed by the full-time teams and/or the mini-stations in advance. The treating personnel request for assistance increase and disaster relief materials and the like according to the actual situation of the disaster on site. The command can be uploaded and issued according to the command scheduling system. After the disaster is treated, the war evaluation summary of each treatment process is needed to provide reference and assistance for the next similar disaster. The invention can realize the recording of position information, disposal information and the like of disaster situations in a plurality of processes of receiving alarms, disposing alarms, giving alarms, disposing and the like. For the sake of brevity, reference is made to fig. 4.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. The utility model provides an artificial intelligence emergency command dispatch system based on 5G thing networking which characterized in that, includes disaster monitoring subsystem, information support subsystem, warning condition prejudgement discernment subsystem, supplementary dispatch subsystem, operation subsystem, disaster evaluation subsystem and equips the management subsystem, wherein:
the disaster monitoring subsystem is used for acquiring disaster alarm information in real time, analyzing the current disaster development trend according to the disaster alarm information and historical disaster data, and performing automatic early warning;
the information supporting subsystem is used for inquiring a plurality of layer data within a preset range of disaster positions according to the disaster positions so that the auxiliary scheduling subsystem can determine a disposal scheme according to the layer data;
the warning condition pre-judging and identifying subsystem is used for carrying out disaster condition pre-warning according to the collected disaster condition related information on the Internet;
the auxiliary scheduling subsystem is used for customizing a disposal scheme according to the disaster warning information and the layer data and sending the disposal scheme to a corresponding rescue unit or a corresponding rescue department;
the operation subsystem is used for establishing a communication group through audio and video image transmission equipment of a disaster site so that rescue workers can acquire real-time dynamic states of the disaster site through the communication group;
the disaster evaluation subsystem is used for evaluating a disaster grade according to the disaster alarm information so as to determine rescue equipment information according to the disaster grade;
the equipment management system is used for managing the information of the rescue equipment and collecting the rescue equipment to a gathering point for rescue according to the disaster warning information and the disposal scheme.
2. The system of claim 1, further comprising a basic data maintenance subsystem for collecting and maintaining basic data required for emergency command operations.
3. The system of claim 1, further comprising a geographic information system for storing, managing and analyzing geographic information and providing a visualization interface based on the geographic information based on underlying data.
4. The system of claim 1, further comprising an intelligent navigation system configured to instruct the rescue equipment to rescue at a disaster point according to a path planning plan.
5. The system of claim 4, wherein the path planning scheme is determined by a server from a disaster location, a fire fighting resource location, and a path planning algorithm, wherein the fire fighting resource comprises rescue equipment.
6. The system of claim 3, wherein the base data comprises:
water source information, road information, building information, screen viewing information and emergency rescue unit information.
7. The system of claim 1, wherein the disaster alert information includes a disaster type, a disaster level, an occurrence area, and an occurrence time.
8. The system of claim 1, wherein the layer data comprises fire brigade, fire station, professional rescue team, focus unit, building profile, water source, view point, and urban high-point thermal imaging data information.
9. The system of claim 1, wherein the rescue equipment information includes equipment base information, equipment inventory quantities, equipment location, and equipment pick-up records.
10. The system of claim 1, wherein the disaster rating comprises a disaster spread trend, a disaster impact range, and the rescue equipment rating.
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