CN112819318A - Internet of things-based rescue material dynamic configuration method and system and readable storage medium - Google Patents

Internet of things-based rescue material dynamic configuration method and system and readable storage medium Download PDF

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CN112819318A
CN112819318A CN202110126127.8A CN202110126127A CN112819318A CN 112819318 A CN112819318 A CN 112819318A CN 202110126127 A CN202110126127 A CN 202110126127A CN 112819318 A CN112819318 A CN 112819318A
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刘立斌
付骏宇
耿鹏
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Foshan Menassen Intelligent Technology Co ltd
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Abstract

The invention relates to a rescue goods and materials dynamic configuration method, a system and a readable storage medium based on the Internet of things, which comprises the following steps: acquiring emergency information and classifying the emergency; acquiring target area information, performing area division on a target area according to the type of an emergency, and establishing a plurality of target sub-areas; acquiring an emergency in a target sub-area to generate disaster information in the target sub-area; comparing disaster information in a plurality of target sub-regions to generate disaster sequence information; establishing a resource optimization configuration model according to disaster sequence information; dynamically adjusting the materials in the multiple target sub-regions according to the resource optimization configuration model to obtain result information; and transmitting the result information to the terminal according to a preset mode.

Description

Internet of things-based rescue material dynamic configuration method and system and readable storage medium
Technical Field
The invention relates to a dynamic configuration method of rescue goods and materials, in particular to a dynamic configuration method, a dynamic configuration system and a readable storage medium of rescue goods and materials based on the Internet of things.
Background
With the acceleration of the urbanization process of China, the scale of cities is continuously enlarged, and social contradictions such as population, resources, environment, public health and the like are increasingly sharp, so that various emergencies occur occasionally, and the threats that cities are attacked by emergencies such as natural disasters, public health events, public safety events, major accidents and the like are continuously increased. Cities are densely populated, and once an emergency occurs, the degree of harm and social influence are more serious than those of other areas. The urban system has numerous components, has complex strong coupling effect and nonlinear relation, presents high dynamic openness, enables urban emergencies to have complex and rapid association effect and diffusion effect, and can cause great negative influence on urban economy and social life if emergency treatment is misappropriated. The rapid response to the emergency and the decision processing capability are important marks of the urban modernization level, and are directly related to the social and economic development and the safety and stability. The outbreak of urban flood disaster emergencies often generates a large amount of urgent emergency material demands, and various emergency materials need to be delivered to disaster areas quickly, efficiently and accurately in a reasonable and feasible mode to solve the problems of life guarantee, wounded rescue, health and epidemic prevention when flood disasters occur, recovery production after disasters, reconstruction of disaster areas and the like, reduce the disaster area and personnel loss and prevent further expansion of the disasters. In the face of frequent urban flood disasters, a plurality of weak links still exist in the aspects of emergency material scheduling, distribution and the like, and the practical requirements of flood rescue are difficult to meet.
In order to realize accurate control on material transfer, a system matched with the system needs to be developed for control, and the system acquires emergency information and classifies the emergency; acquiring target area information, performing area division on a target area according to the type of an emergency, and establishing a plurality of target sub-areas; according to disaster information in the target sub-areas, the materials in the target sub-areas are dynamically adjusted to realize dynamic configuration of the materials, but in the control process, how to realize accurate control and the dynamic configuration of rescue materials are all problems which need to be solved urgently.
Disclosure of Invention
The invention overcomes the defects of the prior art and provides a rescue goods and materials dynamic configuration method and system based on the Internet of things and a readable storage medium.
In order to achieve the purpose, the invention adopts the technical scheme that: a rescue goods and materials dynamic configuration method based on the Internet of things comprises the following steps:
acquiring emergency information and classifying the emergency;
acquiring target area information, performing area division on a target area according to the type of an emergency, and establishing a plurality of target sub-areas;
acquiring an emergency in a target sub-area to generate disaster information in the target sub-area;
comparing disaster information in a plurality of target sub-regions to generate disaster sequence information;
establishing a resource optimization configuration model according to disaster sequence information;
dynamically adjusting the materials in the multiple target sub-regions according to the resource optimization configuration model to obtain result information;
and transmitting the result information to the terminal according to a preset mode.
In a preferred embodiment of the present invention, the method further comprises:
establishing a rescue goods and materials dispatching command center, and classifying the rescue goods and materials in the target area;
acquiring the type of the emergency and judging the level of the emergency;
generating an emergency plan according to the type and the level of the emergency, and obtaining material demand information;
generating a corresponding material financing decision according to the rescue material demand information, and establishing a material storage center;
and carrying out material conveying sequencing according to the emergency level, generating conveying sequence information, and carrying out rescue material conveying in sequence according to the conveying sequence information.
In a preferred embodiment of the present invention, according to the rescue material demand information, a corresponding material financing decision is generated, and a material storage center is established, which specifically includes:
the position information of the material storage center is obtained,
moving the rescue goods and materials to a goods and materials storage center, and grouping according to the properties of the goods and materials;
the grouped goods and materials are dispatched according to the rescue goods and materials demand information,
establishing a material scheduling evaluation model, and comparing rescue material demand information and material scheduling information in each target sub-region to generate evaluation information;
and transmitting the evaluation information to a rescue goods and materials dispatching command center according to a preset mode.
In a preferred embodiment of the present invention, comparing disaster information in a plurality of target sub-regions to generate disaster sequence information specifically includes:
acquiring disaster situation information of a target subregion to obtain disaster situation information;
judging the emergency degree of the disaster of the target subarea according to the disaster situation information,
comparing the emergency degrees of the multiple disaster situations to obtain a material scheduling sequence of a target subregion;
and delivering the materials of the target subarea according to the material scheduling sequence.
In a preferred embodiment of the invention, the material is delivered to the target subarea according to the material scheduling sequence; the method specifically comprises the following steps:
classifying the materials, and respectively loading the materials to different unmanned aerial vehicles;
obtaining the position information of the unmanned aerial vehicle, establishing an unmanned aerial vehicle formation model,
generating unmanned aerial vehicle formation keeping information according to the unmanned aerial vehicle formation model;
generating an unmanned aerial vehicle formation mode according to the unmanned aerial vehicle formation keeping information;
forming unmanned aerial vehicles according to the unmanned aerial vehicle forming mode to obtain result information;
comparing the result information with actual detection information; obtaining unmanned aerial vehicle formation deviation information;
judging whether the deviation information is larger than a preset threshold value,
and if the number of the unmanned aerial vehicles is larger than the preset value, generating correction information, correcting the unmanned aerial vehicle formation mode, and releasing materials through the unmanned aerial vehicle formation.
In a preferred embodiment of the present invention, the disaster information includes one or a combination of two or more of a disaster type, a number of people suffering from a disaster, a disaster area, inventory information of goods and materials in the disaster area, demand information of goods and materials in the disaster area, and a casualty situation in the disaster area.
The invention also provides a rescue goods and materials dynamic configuration system based on the internet of things, which comprises: the internet of things-based rescue goods and materials dynamic configuration method comprises a memory and a processor, wherein the memory comprises an internet of things-based rescue goods and materials dynamic configuration method program, and when the processor executes the internet of things-based rescue goods and materials dynamic configuration method program, the following steps are realized: acquiring emergency information and classifying the emergency;
acquiring target area information, performing area division on a target area according to the type of an emergency, and establishing a plurality of target sub-areas;
acquiring an emergency in a target sub-area to generate disaster information in the target sub-area;
comparing disaster information in a plurality of target sub-regions to generate disaster sequence information;
establishing a resource optimization configuration model according to disaster sequence information;
dynamically adjusting the materials in the multiple target sub-regions according to the resource optimization configuration model to obtain result information;
and transmitting the result information to the terminal according to a preset mode.
In a preferred embodiment of the present invention, the method further comprises:
establishing a rescue goods and materials dispatching command center, and classifying the rescue goods and materials in the target area;
acquiring the type of the emergency and judging the level of the emergency;
generating an emergency plan according to the type and the level of the emergency, and obtaining material demand information;
generating a corresponding material financing decision according to the rescue material demand information, and establishing a material storage center;
carrying out material conveying sequencing according to the level of the emergency, generating conveying sequence information,
and carrying out rescue goods and materials conveying in sequence according to the conveying sequence information.
In a preferred embodiment of the present invention, comparing disaster information in a plurality of target sub-regions to generate disaster sequence information specifically includes:
acquiring disaster situation information of a target subregion to obtain disaster situation information;
judging the emergency degree of the disaster of the target subarea according to the disaster situation information,
comparing the emergency degrees of the multiple disaster situations to obtain a material scheduling sequence of a target subregion;
and delivering the materials of the target subarea according to the material scheduling sequence.
The third aspect of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a program of a dynamic configuration method for internet-of-things-based rescue goods, and when the program of the dynamic configuration method for internet-of-things-based rescue goods is executed by a processor, the steps of the dynamic configuration method for internet-of-things-based rescue goods are implemented.
The invention solves the defects in the background technology, and has the following beneficial effects:
(1) the emergency material commanding and dispatching center is responsible for commanding and deciding the whole emergency material dispatching process, predicting the emergency material demand, forecasting the emergency material, dispatching the emergency material and other decision performance and the emergency material dispatching center.
(2) The system classifies the emergency events by acquiring the information of the emergency events; acquiring target area information, performing area division on a target area according to the type of an emergency, and establishing a plurality of target sub-areas; and judging the emergency degree of the disaster of the target subarea according to the disaster information in the target subarea and the disaster state information, obtaining a material scheduling sequence of the target subarea, and dynamically adjusting the materials in the target subareas to realize the dynamic configuration of the materials.
Drawings
The invention is further illustrated with reference to the following figures and examples.
FIG. 1 shows a flow chart of a rescue goods and materials dynamic configuration method based on the Internet of things;
FIG. 2 illustrates a flow chart of a method of obtaining a delivery sequence of rescue supplies;
FIG. 3 shows a flow chart of a method of obtaining ratings information;
FIG. 4 shows a material delivery method flow chart;
fig. 5 shows a flowchart of a method for drone formation correction;
fig. 6 shows a block diagram of a rescue goods and materials dynamic configuration system based on the internet of things.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
Fig. 1 shows a flow chart of a rescue goods and materials dynamic configuration method based on the internet of things.
As shown in fig. 1, a first aspect of the present invention provides a method for dynamically configuring rescue goods and materials based on the internet of things, including:
s102, acquiring emergency information and classifying the emergency;
s104, acquiring target area information, performing area division on the target area according to the type of the emergency, and establishing a plurality of target sub-areas;
s106, acquiring an emergency in the target sub-area, and generating disaster information in the target sub-area;
s108, comparing the disaster information in the target sub-regions to generate disaster sequence information;
s110, establishing a resource optimization configuration model according to disaster sequence information;
s112, dynamically adjusting the materials in the multiple target sub-regions according to the resource optimization configuration model to obtain result information;
and S114, transmitting the result information to the terminal according to a preset mode.
It should be noted that the analysis of the demand for emergency supplies actually establishes a connection between the emergency and the emergency supplies. Due to uncertainty, contingency and catastrophe of the incident, comprehensive demand analysis is performed by combining historical data. According to the time period of the emergency material demand analysis, the method can be divided into the analysis of the prior demand and the analysis of the after demand. The pre-emergency material demand analysis is that in the ordinary state that an emergency does not occur, according to the past historical data, the post-demand analysis for the demand analysis of emergency material storage refers to that after the emergency occurs, according to the actual situation and the available data, the demand analysis for the emergency material planning and scheduling inquires the specific situations such as the storage, distribution, variety and specification of the emergency material through an emergency material information system, the demand analysis adopts the conventional planning modes such as reserve utilization, material collection and domestic donation and the non-conventional planning modes such as international assistance and organization outburst production to meet the demand of the emergency demand points on the quantity and variety of the emergency material as much as possible, and the quantity, distribution, supply quantity, quality and variety of the emergency supply points can be known according to the planning process. The method comprises the steps of establishing a conceptual model of emergency rescue resource requirements, establishing unmanned aerial vehicle scheduling models of a plurality of rescue departure points aiming at the situations that a plurality of rescue demand points possibly occur and rescue resources are insufficient when a major accident disaster occurs, and processing the randomness of the journey time of the rescue unmanned aerial vehicle by adopting probability distribution and opportunity constraint planning.
As shown in fig. 2, the invention discloses a flow chart of a method for obtaining a delivery sequence of rescue goods;
according to the embodiment of the invention, the method further comprises the following steps:
s202, establishing a rescue goods and materials dispatching command center, and classifying rescue goods and materials in a target area;
s204, acquiring the type of the emergency and judging the level of the emergency;
s206, generating an emergency plan according to the type and the level of the emergency, and obtaining material demand information;
s208, generating a corresponding material financing decision according to the rescue material demand information, and establishing a material storage center;
s210, carrying out material conveying sequencing according to the emergency level to generate conveying sequence information,
and S212, carrying out rescue goods conveying in sequence according to the conveying sequence information.
It should be noted that the emergency material commanding and dispatching center is responsible for commanding and deciding the whole emergency material dispatching process, and the problems of dispatching from an emergency material supply point to a storage center, dispatching from an emergency material storage center to an isolation area, selection of a transportation path and the like need to be evaluated through a proper evaluation system in the implementation process of emergency material dispatching, and the basis is provided for the future emergency material dispatching decision through comparison and evaluation of the satisfaction degree of each initial isolation area and the satisfaction degrees of the material demand quantity, the type and the demand time of the isolation area in different emergency material demand periods.
As shown in FIG. 3, the present invention discloses a flow chart of a method for obtaining evaluation information;
according to the embodiment of the invention, according to the rescue material demand information, a corresponding material financing decision is generated, and a material storage center is established, which specifically comprises the following steps:
s302, obtaining the position information of the material storage center,
s304, moving the rescue goods to a goods storage center, and grouping according to the properties of the goods;
s306, scheduling the grouped goods and materials according to the rescue goods and materials demand information,
s308, establishing a material scheduling evaluation model, and comparing rescue material demand information and material scheduling information in each target sub-region to generate evaluation information;
and S310, transmitting the evaluation information to a rescue goods and materials dispatching command center according to a preset mode.
As shown in fig. 4, the present invention discloses a material delivery method flow chart;
according to the embodiment of the invention, disaster information in a plurality of target sub-areas is compared to generate disaster sequence information, and the method specifically comprises the following steps:
s402, acquiring disaster situation information of a target subregion to obtain disaster situation information;
s404, judging the emergency degree of the disaster in the target sub-area according to the disaster situation information,
s406, comparing the emergency degrees of the multiple disasters to obtain a material scheduling sequence of the target sub-area;
and S408, delivering the materials of the target sub-area according to the material scheduling sequence.
As shown in fig. 5, the invention discloses a flow chart of a method for correcting formation of unmanned aerial vehicles;
according to the embodiment of the invention, the material of the target subarea is released according to the material scheduling sequence; the method specifically comprises the following steps:
s502, classifying the materials and respectively loading the materials to different unmanned aerial vehicles;
s504, obtaining the unmanned aerial vehicle location information, establishing an unmanned aerial vehicle formation model,
s506, generating unmanned aerial vehicle formation keeping information according to the unmanned aerial vehicle formation model;
s508, generating a formation mode of the unmanned aerial vehicles according to the formation keeping information of the unmanned aerial vehicles;
s510, forming unmanned aerial vehicles according to the unmanned aerial vehicle forming mode to obtain result information;
s512, comparing the result information with the actual detection information; obtaining unmanned aerial vehicle formation deviation information;
s514, judging whether the deviation information is larger than a preset threshold value,
and S516, if the number of the unmanned aerial vehicles is larger than the preset number, generating correction information, correcting the unmanned aerial vehicle formation mode, and throwing the materials through the unmanned aerial vehicle formation.
The unmanned aerial vehicle formation method includes the steps that target area information is obtained, path information in a target area is extracted, an optimal path of the unmanned aerial vehicle is obtained through big data analysis, material demand information of the target area is obtained, and unmanned aerial vehicle formation is conducted according to material types on the unmanned aerial vehicle; acquiring a current flight path of the unmanned aerial vehicle, determining a collaborative path plan of the unmanned aerial vehicle, and generating dynamic path information; comparing the dynamic path information with a reference path to obtain a deviation rate; and judging whether the deviation rate is greater than a preset threshold value, if so, generating correction information, re-forming the unmanned aerial vehicles according to the correction information, generating a new planned path, updating the current flight path according to the new planned path, and controlling the unmanned aerial vehicle to form a formation to fly along the new planned path.
According to the embodiment of the invention, the disaster information comprises one or a combination of more than two of disaster types, the number of people suffering from a disaster, a disaster area, inventory information of goods and materials in the disaster area, demand information of goods and materials in the disaster area and casualty conditions in the disaster area.
As shown in fig. 6, the invention discloses a rescue goods and materials dynamic configuration system based on the internet of things;
the invention also provides a rescue goods and materials dynamic configuration system based on the internet of things, which comprises: the internet of things-based rescue goods and materials dynamic configuration method comprises a memory and a processor, wherein the memory comprises an internet of things-based rescue goods and materials dynamic configuration method program, and when the processor executes the internet of things-based rescue goods and materials dynamic configuration method program, the following steps are realized: acquiring emergency information and classifying the emergency;
acquiring target area information, performing area division on a target area according to the type of an emergency, and establishing a plurality of target sub-areas;
acquiring an emergency in a target sub-area to generate disaster information in the target sub-area;
comparing disaster information in a plurality of target sub-regions to generate disaster sequence information;
establishing a resource optimization configuration model according to disaster sequence information;
dynamically adjusting the materials in the multiple target sub-regions according to the resource optimization configuration model to obtain result information;
and transmitting the result information to the terminal according to a preset mode.
It should be noted that the analysis of the demand for emergency supplies actually establishes a connection between the emergency and the emergency supplies. Due to uncertainty, contingency and catastrophe of the incident, comprehensive demand analysis is performed by combining historical data. According to the time period of the emergency material demand analysis, the method can be divided into the analysis of the prior demand and the analysis of the after demand. The pre-emergency material demand analysis is that in the ordinary state that an emergency does not occur, according to the past historical data, the post-demand analysis for the demand analysis of emergency material storage refers to that after the emergency occurs, according to the actual situation and the available data, the demand analysis for the emergency material planning and scheduling inquires the specific situations such as the storage, distribution, variety and specification of the emergency material through an emergency material information system, the demand analysis adopts the conventional planning modes such as reserve utilization, material collection and domestic donation and the non-conventional planning modes such as international assistance and organization outburst production to meet the demand of the emergency demand points on the quantity and variety of the emergency material as much as possible, and the quantity, distribution, supply quantity, quality and variety of the emergency supply points can be known according to the planning process. The method comprises the steps of establishing a conceptual model of emergency rescue resource requirements, establishing unmanned aerial vehicle scheduling models of a plurality of rescue departure points aiming at the situations that a plurality of rescue demand points possibly occur and rescue resources are insufficient when a major accident disaster occurs, and processing the randomness of the journey time of the rescue unmanned aerial vehicle by adopting probability distribution and opportunity constraint planning.
It should be noted that the dynamic configuration adopts a particle swarm optimization, each particle represents a configuration scheme, the particle swarm optimization can quickly converge to a good expected optimization value, the particle swarm with the size of N flies in a D-dimensional space, and the position of the x-th particle is wxVelocity vxThe individual optimum value of the particles is yxGlobal optimum value of yzAfter m iterations, the particle is at the position w of the m-1 generationx m-1Can be updated as follows:
wx m-1＝wx m+λvx m+c1rand(yx-wx m)+c2rand(yz-wx m)
where λ represents the inertial weight, c1,c2Is a learning factor; rand is a random number calculation.
The inertia weight determines the influence degree of the prior flying speed of the particles on the current flying speed, and in order to improve the performance of the algorithm, a linear decreasing weight strategy is adopted, namely:
Figure BDA0002924068690000111
wherein λmax＝0.8，λmin0.2; m represents the current iteration number; mmaxThe maximum number of iterations is indicated.
According to the embodiment of the invention, the method further comprises the following steps:
establishing a rescue goods and materials dispatching command center, and classifying the rescue goods and materials in the target area;
acquiring the type of the emergency and judging the level of the emergency;
generating an emergency plan according to the type and the level of the emergency, and obtaining material demand information;
generating a corresponding material financing decision according to the rescue material demand information, and establishing a material storage center;
carrying out material conveying sequencing according to the level of the emergency, generating conveying sequence information,
and carrying out rescue goods and materials conveying in sequence according to the conveying sequence information.
It should be noted that the emergency material commanding and dispatching center is responsible for commanding and deciding the whole emergency material dispatching process, and the problems of dispatching from an emergency material supply point to a storage center, dispatching from an emergency material storage center to an isolation area, selection of a transportation path and the like need to be evaluated through a proper evaluation system in the implementation process of emergency material dispatching, and the basis is provided for the future emergency material dispatching decision through comparison and evaluation of the satisfaction degree of each initial isolation area and the satisfaction degrees of the material demand quantity, the type and the demand time of the isolation area in different emergency material demand periods.
According to the embodiment of the invention, disaster information in a plurality of target sub-areas is compared to generate disaster sequence information, and the method specifically comprises the following steps:
acquiring disaster situation information of a target subregion to obtain disaster situation information;
judging the emergency degree of the disaster of the target subarea according to the disaster situation information,
comparing the emergency degrees of the multiple disaster situations to obtain a material scheduling sequence of a target subregion;
and delivering the materials of the target subarea according to the material scheduling sequence.
According to the embodiment of the invention, according to the rescue material demand information, a corresponding material financing decision is generated, and a material storage center is established, which specifically comprises the following steps:
the position information of the material storage center is obtained,
moving the rescue goods and materials to a goods and materials storage center, and grouping according to the properties of the goods and materials;
the grouped goods and materials are dispatched according to the rescue goods and materials demand information,
establishing a material scheduling evaluation model, and comparing rescue material demand information and material scheduling information in each target sub-region to generate evaluation information;
and transmitting the evaluation information to a rescue goods and materials dispatching command center according to a preset mode.
According to the embodiment of the invention, the material of the target subarea is released according to the material scheduling sequence; the method specifically comprises the following steps:
classifying the materials, and respectively loading the materials to different unmanned aerial vehicles;
obtaining the position information of the unmanned aerial vehicle, establishing an unmanned aerial vehicle formation model,
generating unmanned aerial vehicle formation keeping information according to the unmanned aerial vehicle formation model;
generating an unmanned aerial vehicle formation mode according to the unmanned aerial vehicle formation keeping information;
forming unmanned aerial vehicles according to the unmanned aerial vehicle forming mode to obtain result information;
comparing the result information with actual detection information; obtaining unmanned aerial vehicle formation deviation information;
judging whether the deviation information is larger than a preset threshold value,
and if the number of the unmanned aerial vehicles is larger than the preset value, generating correction information, correcting the unmanned aerial vehicle formation mode, and releasing materials through the unmanned aerial vehicle formation.
The unmanned aerial vehicle formation method includes the steps that target area information is obtained, path information in a target area is extracted, an optimal path of the unmanned aerial vehicle is obtained through big data analysis, material demand information of the target area is obtained, and unmanned aerial vehicle formation is conducted according to material types on the unmanned aerial vehicle; acquiring a current flight path of the unmanned aerial vehicle, determining a collaborative path plan of the unmanned aerial vehicle, and generating dynamic path information; comparing the dynamic path information with a reference path to obtain a deviation rate; and judging whether the deviation rate is greater than a preset threshold value, if so, generating correction information, re-forming the unmanned aerial vehicles according to the correction information, generating a new planned path, updating the current flight path according to the new planned path, and controlling the unmanned aerial vehicle to form a formation to fly along the new planned path.
According to the embodiment of the invention, the disaster information comprises one or a combination of more than two of disaster types, the number of people suffering from a disaster, a disaster area, inventory information of goods and materials in the disaster area, demand information of goods and materials in the disaster area and casualty conditions in the disaster area.
The third aspect of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a program of a dynamic configuration method for internet-of-things-based rescue goods, and when the program of the dynamic configuration method for internet-of-things-based rescue goods is executed by a processor, the steps of the dynamic configuration method for internet-of-things-based rescue goods are implemented.
The emergency material commanding and dispatching center is responsible for commanding and deciding the whole emergency material dispatching process, predicting the emergency material demand, forecasting the emergency material, dispatching the emergency material and other decision performance and the emergency material dispatching center.
The system classifies the emergency events by acquiring the information of the emergency events; acquiring target area information, performing area division on a target area according to the type of an emergency, and establishing a plurality of target sub-areas; and judging the emergency degree of the disaster of the target subarea according to the disaster information in the target subarea and the disaster state information, obtaining a material scheduling sequence of the target subarea, and dynamically adjusting the materials in the target subareas to realize the dynamic configuration of the materials.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of a unit is only one logical function division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A rescue goods and materials dynamic configuration method based on the Internet of things is characterized by comprising the following steps:
acquiring emergency information and classifying the emergency;
acquiring target area information, performing area division on a target area according to the type of an emergency, and establishing a plurality of target sub-areas;
acquiring an emergency in a target sub-area to generate disaster information in the target sub-area;
comparing disaster information in a plurality of target sub-regions to generate disaster sequence information;
establishing a resource optimization configuration model according to disaster sequence information;
dynamically adjusting the materials in the multiple target sub-regions according to the resource optimization configuration model to obtain result information;
and transmitting the result information to the terminal according to a preset mode.
2. The Internet of things-based rescue goods and materials dynamic configuration method according to claim 1, further comprising:
establishing a rescue goods and materials dispatching command center, and classifying the rescue goods and materials in the target area;
acquiring the type of the emergency and judging the level of the emergency;
generating an emergency plan according to the type and the level of the emergency, and obtaining material demand information;
generating a corresponding material financing decision according to the rescue material demand information, and establishing a material storage center;
carrying out material conveying sequencing according to the level of the emergency, generating conveying sequence information,
and carrying out rescue goods and materials conveying in sequence according to the conveying sequence information.
3. The internet of things-based rescue material dynamic configuration method according to claim 2, wherein a corresponding material financing decision is generated according to rescue material demand information, and a material storage center is established, specifically comprising:
the position information of the material storage center is obtained,
moving the rescue goods and materials to a goods and materials storage center, and grouping according to the properties of the goods and materials;
the grouped goods and materials are dispatched according to the rescue goods and materials demand information,
establishing a material scheduling evaluation model, and comparing rescue material demand information and material scheduling information in each target sub-region to generate evaluation information;
and transmitting the evaluation information to a rescue goods and materials dispatching command center according to a preset mode.
4. The Internet of things-based rescue goods and materials dynamic configuration method according to claim 1, characterized in that disaster information in a plurality of target sub-areas is compared to generate disaster sequence information, and the method specifically comprises the following steps:
acquiring disaster situation information of a target subregion to obtain disaster situation information;
judging the emergency degree of the disaster of the target subarea according to the disaster situation information,
comparing the emergency degrees of the multiple disaster situations to obtain a material scheduling sequence of a target subregion;
and delivering the materials of the target subarea according to the material scheduling sequence.
5. The Internet of things-based rescue goods and materials dynamic configuration method according to claim 4, characterized in that the delivery of goods and materials in a target subregion is carried out according to a goods and materials scheduling sequence; the method specifically comprises the following steps:
classifying the materials, and respectively loading the materials to different unmanned aerial vehicles;
obtaining the position information of the unmanned aerial vehicle, establishing an unmanned aerial vehicle formation model,
generating unmanned aerial vehicle formation keeping information according to the unmanned aerial vehicle formation model;
generating an unmanned aerial vehicle formation mode according to the unmanned aerial vehicle formation keeping information;
forming unmanned aerial vehicles according to the unmanned aerial vehicle forming mode to obtain result information;
comparing the result information with actual detection information; obtaining unmanned aerial vehicle formation deviation information;
judging whether the deviation information is larger than a preset threshold value,
and if the number of the unmanned aerial vehicles is larger than the preset value, generating correction information, correcting the unmanned aerial vehicle formation mode, and releasing materials through the unmanned aerial vehicle formation.
6. The Internet of things-based rescue goods and materials dynamic configuration method according to claim 1, wherein the disaster information includes one or a combination of more than two of disaster type, number of people suffering from a disaster, disaster area, stock information of goods and materials in the disaster area, demand information of goods and materials in the disaster area, and casualty situation in the disaster area.
7. The utility model provides a rescue goods and materials dynamic configuration system based on thing networking which characterized in that, this system includes: the internet of things-based rescue goods and materials dynamic configuration method comprises a memory and a processor, wherein the memory comprises an internet of things-based rescue goods and materials dynamic configuration method program, and when the processor executes the internet of things-based rescue goods and materials dynamic configuration method program, the following steps are realized: acquiring emergency information and classifying the emergency;
acquiring target area information, performing area division on a target area according to the type of an emergency, and establishing a plurality of target sub-areas;
acquiring an emergency in a target sub-area to generate disaster information in the target sub-area;
comparing disaster information in a plurality of target sub-regions to generate disaster sequence information;
establishing a resource optimization configuration model according to disaster sequence information;
dynamically adjusting the materials in the multiple target sub-regions according to the resource optimization configuration model to obtain result information;
and transmitting the result information to the terminal according to a preset mode.
8. The internet of things-based rescue goods and materials dynamic configuration system according to claim 7, further comprising:
establishing a rescue goods and materials dispatching command center, and classifying the rescue goods and materials in the target area;
acquiring the type of the emergency and judging the level of the emergency;
generating an emergency plan according to the type and the level of the emergency, and obtaining material demand information;
generating a corresponding material financing decision according to the rescue material demand information, and establishing a material storage center;
carrying out material conveying sequencing according to the level of the emergency, generating conveying sequence information,
and carrying out rescue goods and materials conveying in sequence according to the conveying sequence information.
9. The Internet of things-based rescue goods and materials dynamic configuration system according to claim 7, wherein disaster information in a plurality of target sub-areas is compared to generate disaster sequence information, and the system specifically comprises:
acquiring disaster situation information of a target subregion to obtain disaster situation information;
judging the emergency degree of the disaster of the target subarea according to the disaster situation information,
comparing the emergency degrees of the multiple disaster situations to obtain a material scheduling sequence of a target subregion;
and delivering the materials of the target subarea according to the material scheduling sequence.
10. A computer-readable storage medium, wherein the computer-readable storage medium includes a program of a dynamic rescue goods and materials configuration method based on the internet of things, and when the program of the dynamic rescue goods and materials configuration method based on the internet of things is executed by a processor, the steps of the dynamic rescue goods and materials configuration method based on the internet of things according to any one of claims 1 to 6 are realized.
CN202110126127.8A 2021-01-29 2021-01-29 Internet of things-based rescue material dynamic configuration method and system and readable storage medium Withdrawn CN112819318A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113253758A (en) * 2021-06-01 2021-08-13 南京理工大学 Unmanned aerial vehicle multi-target rescue decision-making method
CN114066698A (en) * 2021-10-29 2022-02-18 深圳市拓安信计控仪表有限公司 Search and rescue method, search and rescue device, terminal equipment and storage medium
CN117217477A (en) * 2023-09-15 2023-12-12 北方工业大学 Major data-based key emergency material allocation method and system

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113253758A (en) * 2021-06-01 2021-08-13 南京理工大学 Unmanned aerial vehicle multi-target rescue decision-making method
CN114066698A (en) * 2021-10-29 2022-02-18 深圳市拓安信计控仪表有限公司 Search and rescue method, search and rescue device, terminal equipment and storage medium
CN117217477A (en) * 2023-09-15 2023-12-12 北方工业大学 Major data-based key emergency material allocation method and system
CN117217477B (en) * 2023-09-15 2024-02-09 北方工业大学 Major data-based key emergency material allocation method and system

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Application publication date: 20210518