CN111832920A - Disaster emergency decision method, device, equipment and readable storage medium - Google Patents
Disaster emergency decision method, device, equipment and readable storage medium Download PDFInfo
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Abstract
The invention discloses a disaster emergency decision method, a disaster emergency decision device, equipment and a readable storage medium, wherein the method comprises the following steps: the method comprises the steps of obtaining current weather information, a life cycle of a disaster and current garden landscape information corresponding to a garden to be evaluated, determining a disaster grade corresponding to the current weather information in a model base based on the life cycle of the disaster, and evaluating the current garden landscape information corresponding to the garden to be evaluated according to the life cycle of the disaster, the disaster grade, a preset disaster history database and a preset knowledge base to obtain disaster emergency measures corresponding to the garden to be evaluated. By monitoring disaster situations in real time, rapidly matching historical similar disaster situations by using a database and a model base, giving out disaster emergency management decisions through a knowledge base, and simultaneously, enabling a disaster emergency decision system to support man-machine interaction to obtain decision opinions of experts in the garden industry so as to optimize the disaster emergency management decisions and further perfect disaster emergency measures.
Description
Technical Field
The invention relates to the technical field of garden maintenance, in particular to a disaster emergency decision method, a disaster emergency decision device, disaster emergency decision equipment and a readable storage medium.
Background
The typhoon disaster has wide influence range and heavy influence degree on the garden landscape in the coastal city, and the typhoon disaster has the characteristics of occurrence of sudden property, uncontrollable property of the disaster, uncertainty of the consequence, processing urgency and the like.
The application of the urban garden management department and the construction maintenance department to the urban garden data is mainly in the original level of data processing at present, and due to the fact that factors such as various resource environment elements in an urban garden system and corresponding urban construction and the like change frequently, the urban garden presents complexity and strong uncertainty on the time-space characteristics. Aiming at the massive, complicated and numerous original data, the traditional data management method generally adopts the scattered management of a plurality of related departments, and the original data is manually analyzed and processed by the expert experience to obtain a solution.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a disaster emergency decision method, a disaster emergency decision device, equipment and a readable storage medium, and aims to solve the technical problems of low efficiency and poor effect of the conventional disaster emergency decision.
In order to achieve the above object, the present invention provides a disaster emergency decision method, which comprises the following steps:
acquiring current weather information, a life cycle of a disaster and current garden landscape information corresponding to a garden to be evaluated;
determining a disaster grade corresponding to the current weather information in a model base based on the life cycle of the disaster;
and evaluating the current landscape information corresponding to the garden to be evaluated according to the life cycle of the disaster, the disaster grade, a preset disaster historical database and a preset knowledge base to obtain disaster emergency measures corresponding to the garden to be evaluated.
Further, before the step of obtaining the current weather information and the garden landscape information corresponding to the garden to be evaluated, the method includes:
constructing the disaster emergency decision system, wherein the disaster emergency decision system comprises a data acquisition module, a network system module, a system support module and an application layer module;
the data acquisition module is used for acquiring current weather information, a life cycle of a disaster and current garden landscape information corresponding to a garden to be evaluated;
the network system module is used for being in communication connection with a third party platform;
the system support module comprises a model base, a disaster history database and a knowledge base, wherein the model base stores the mapping relation between weather information and disaster grades;
and the application layer module is used for inquiring and displaying disaster related information based on a preset format and acquiring decision data so as to adjust disaster emergency measures.
Further, the step of determining, in a model library, a disaster level corresponding to the current weather information based on the life cycle of the disaster includes:
acquiring a mapping relation list of contemporaneous weather information and disaster grades corresponding to the current weather information from the model base;
and determining the disaster grade corresponding to the current weather information in the mapping relation list of the weather information and the disaster grade in the same period.
Further, the step of evaluating the current landscape information corresponding to the garden to be evaluated according to the life cycle of the disaster, the disaster grade, a preset disaster history database and a preset knowledge base to obtain disaster emergency measures corresponding to the garden to be evaluated includes:
when the life cycle of the disaster is in the early stage of the disaster, acquiring pre-disaster emergency measures corresponding to the disaster grade in the preset knowledge base according to the disaster grade;
and comparing the current landscape information with the disaster history database, and adjusting the pre-disaster emergency measures based on the comparison result.
Further, the step of evaluating the current landscape information corresponding to the garden to be evaluated according to the life cycle of the disaster, the disaster grade, a preset disaster history database and a preset knowledge base to obtain disaster emergency measures corresponding to the garden to be evaluated includes:
when the life cycle of the disaster is disaster outbreak, acquiring disaster emergency measures corresponding to the disaster grade in the preset knowledge base according to the disaster grade;
acquiring a current available resource based on a third-party platform;
and comparing the current landscape information with the disaster history database, and adjusting the disaster emergency measures based on the comparison result and the current available resources.
Further, after the step of comparing the current landscape information with the disaster history database and adjusting the disaster emergency measure based on the comparison result and the current available resource, the method further includes:
and when the life cycle of the disaster is the end of the disaster, storing the garden landscape information corresponding to the life cycle of the disaster into the disaster history database, and storing the disaster emergency measures corresponding to the life cycle of the disaster into the knowledge base.
Further, after the step of evaluating the current landscape information corresponding to the garden to be evaluated according to the life cycle of the disaster, the disaster grade, a preset disaster history database and a preset knowledge base to obtain disaster emergency measures corresponding to the garden to be evaluated, the method includes:
performing man-machine interaction based on an application layer module of the disaster emergency decision system to obtain decision data;
and updating the disaster emergency measures corresponding to the gardens to be evaluated based on the decision data to obtain target emergency measures.
Further, the disaster emergency decision device includes:
the acquisition module is used for acquiring current weather information, a life cycle of a disaster and current garden landscape information corresponding to a garden to be evaluated;
the determining module is used for determining the disaster grade corresponding to the current weather information in a model base based on the life cycle of the disaster;
and the evaluation module is used for evaluating the current garden landscape information corresponding to the garden to be evaluated according to the life cycle of the disaster, the disaster grade, a preset disaster historical database and a preset knowledge base to obtain disaster emergency measures corresponding to the garden to be evaluated.
Further, to achieve the above object, the present invention also provides an apparatus comprising: the disaster emergency decision-making system comprises a memory, a processor and a disaster emergency decision-making program stored on the memory and capable of running on the processor, wherein the disaster emergency decision-making program realizes the steps of any one of the disaster emergency decision-making methods when being executed by the processor.
In addition, to achieve the above object, the present invention further provides a readable storage medium, wherein a disaster emergency decision program is stored on the readable storage medium, and when being executed by a processor, the disaster emergency decision program implements the steps of the disaster emergency decision method according to any one of the above aspects.
The method comprises the steps of obtaining current weather information, a life cycle of a disaster and current garden landscape information corresponding to a garden to be evaluated, determining a disaster grade corresponding to the current weather information in a model base based on the life cycle of the disaster, and evaluating the current garden landscape information corresponding to the garden to be evaluated according to the life cycle of the disaster, the disaster grade, a preset disaster history database and a preset knowledge base to obtain disaster emergency measures corresponding to the garden to be evaluated. By monitoring disaster situations in real time, rapidly matching the disaster situations with historical similar disaster situations by using a database and a model base, rapidly discriminating the disaster situations of the garden in real time, realizing real-time evaluation of the disaster situations of the garden, giving out disaster emergency management decisions by using a knowledge base, and simultaneously enabling a disaster emergency decision system to support man-machine interaction to obtain decision opinions of experts in the garden industry so as to optimize the disaster emergency management decisions and further perfect disaster emergency measures.
Drawings
FIG. 1 is a schematic diagram of a device in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a disaster emergency decision method according to a first embodiment of the present invention;
fig. 3 is a functional block diagram of a disaster emergency decision device according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic structural diagram of a device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the apparatus may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration of the object detection system shown in FIG. 1 does not constitute a limitation of the apparatus and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a disaster emergency decision program.
In the device shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a user terminal and performing data communication with the user terminal; and processor 1001 may be used to invoke a disaster emergency decision program stored in memory 1005.
In this embodiment, the apparatus comprises: the disaster emergency decision method comprises a memory 1005, a processor 1001 and a disaster emergency decision program stored in the memory 1005 and capable of running on the processor 1001, wherein when the processor 1001 calls the disaster emergency decision program stored in the memory 1005, the steps of the disaster emergency decision method provided by the embodiments of the present application are performed.
The invention also provides a disaster emergency decision method, and referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the disaster emergency decision method of the invention.
While a logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in an order different than that shown or described herein.
In this embodiment, the disaster emergency decision method includes:
step S10, acquiring current weather information, life cycle of the disaster and current garden landscape information corresponding to the garden to be evaluated;
in this embodiment, the disaster emergency decision system includes a data acquisition module, a network system module, a system support module, and an application layer module; the data acquisition module is used for acquiring current weather information, a life cycle of a disaster and current garden landscape information corresponding to a garden to be evaluated; the network system module is used for being in communication connection with a third party platform; the system support module comprises a model base, a disaster history database and a knowledge base, wherein the model base stores the mapping relation between weather information and disaster grades; the application layer module is used for inquiring and displaying disaster related information based on a preset format and acquiring decision data so as to adjust disaster emergency measures. The disaster emergency decision method provided by the invention can be used for rapidly identifying the garden disaster by monitoring the disaster situation scene in real time and rapidly matching the historical similar disaster situation by using the database and the model library, so that the garden disaster situation can be rapidly identified in real time, the real-time evaluation of the garden disaster situation can be realized, the disaster emergency management decision can be given through the knowledge base, and meanwhile, the disaster emergency decision system also supports man-machine interaction to obtain the decision opinions of experts in the garden industry, so that the disaster emergency management decision can be optimized, and the disaster emergency measures can be further improved.
Further, since typhoon disasters have burstiness, destructiveness, uncertainty, urgency, and insufficiency of information, an increase in the amount of information means a reduction in risk. Therefore, strengthening typhoon data collection is an important measure for alleviating typhoon disasters. Since the 20 th century and the 60 s, the meteorological satellite remote sensing technology has made a major breakthrough and has achieved unprecedented performance in time and space continuity. The satellite cloud picture has high space-time resolution and wide coverage, is widely applied in the meteorological field, and makes up the defects of the conventional detection means of the ocean area. The data acquisition module of the disaster emergency decision system is used for acquiring current weather information, wherein the weather information at least comprises information of temperature, information of wind and information of precipitation, the weather information of the data acquisition module is from data provided by a meteorological department, and whether the weather is disaster weather or not can be determined through the data provided by the meteorological department.
Furthermore, the disaster emergency decision-making system can perform data interaction through communication connection of a plurality of third-party platforms, the third parties at least comprise meteorological departments and disaster protection related departments, weather information and human and material resources of the disaster protection related departments are acquired through the third-party platforms, and after disaster emergency measures are determined, the disaster emergency measures are issued to the related third-party platforms, so that the disaster emergency measures are coordinately executed among all the departments.
In addition, the data acquisition module of the disaster emergency decision system also acquires landscape information of the garden in real time, and the real-time accuracy of the information is the basic condition for correct decision. The landscape information of the garden is collected through the collecting equipment, the current situation of the garden is obtained in time, and then disaster emergency measures are determined through evaluating the disaster degree of the garden.
Step S20, determining the disaster grade corresponding to the current weather information in a model base based on the life cycle of the disaster;
specifically, step S20 includes:
step S21, obtaining a mapping relation list of current weather information corresponding to contemporaneous weather information and disaster grade in the model base;
step S22, determining a disaster level corresponding to the current weather information in the mapping relationship list between the weather information and the disaster level in the same period.
In this embodiment, the disaster emergency decision system takes visualization, information, model and internet of things as means, and comprehensively uses various databases, knowledge bases and model bases, that is, makes full use of the past disaster protection experience, real-time environment, corresponding optimal disposal scheme, expert experience and the like, and qualitatively and quantitatively combines to perform disaster emergency decision, and meanwhile, disaster protection experts can interact with the disaster emergency decision system to continuously optimize the disaster emergency decision.
The amount of data required by the disaster emergency decision system is very large, so the system must be built by relying on a database, a knowledge base and a model base. The database is used for storing data of related fields such as weather, gardens, emergency measures and the like related to decision support, and the knowledge base is used for scientifically and reasonably organizing related referential knowledge about typhoon, including knowledge for forming selectable schemes, knowledge for establishing selectable scheme evaluation models and evaluation standards, knowledge for modifying preselected schemes and the like. The model base abstracts and simulates the summarized custom rule on the basis of comparing a large amount of professional knowledge of a described object and a described process, stores the mapping relation between weather information and disaster grades, can acquire a corresponding mapping relation list of the weather information and the disaster grades in the same period by inputting the current weather information into the model base, and then obtains the disaster grade corresponding to the current weather information in the mapping relation list of the weather information and the disaster grades in the same period.
And step S30, evaluating the current landscape information corresponding to the garden to be evaluated according to the life cycle of the disaster, the disaster grade, a preset disaster history database and a preset knowledge base to obtain disaster emergency measures corresponding to the garden to be evaluated.
In this embodiment, according to the life cycle of the disaster corresponding to the current time, and according to the disaster grade determined by the model base, the disaster situation is scientifically analyzed and summarized by combining the disaster history database and the preset knowledge base data, so as to form a feasible scheme of a garden disaster prevention decision.
Specifically, step S30 includes:
step S31, when the life cycle of the disaster is the early stage of the disaster, acquiring pre-disaster emergency measures corresponding to the disaster grade in the preset knowledge base according to the disaster grade;
and step S32, comparing the current garden landscape information with the disaster history database, and adjusting the emergency measures before the disaster based on the comparison result.
In this embodiment, if the current time corresponds to the early stage of the disaster, preparation work before the disaster needs to be performed, such as emergency trimming of trees, plant reinforcement, and the like. Determining disaster grade according to the model base or determining disaster grade according to the prediction of a meteorological department, acquiring pre-disaster emergency measures in preset knowledge base data, screening out appropriate measures in the pre-disaster emergency measures by combining the actual situation of the current landscape information, namely comparing the current landscape information with the disaster historical database, and adjusting the pre-disaster emergency measures according to the comparison result.
For example, assuming that the disaster is typhoon, the obtaining of the emergency measures before the disaster in the preset knowledge base data is as follows: the method comprises the following steps of carrying out emergency trimming on trees, increasing soil in tree pits, reinforcing plants and piling ground piles before typhoon, wherein the current landscape information acquired by a data acquisition module is as follows: the method comprises the steps that trees with dense branches and large crowns exist in the windward section, plants with seriously inclined tree bodies also exist in the windward section, therefore, according to the actual situation of current garden landscape information, comparison is carried out between the actual situation and a disaster history database, according to the comparison result, the data of the windward section needs to be subjected to emergency trimming, the plants with the seriously inclined tree bodies need to be reinforced, therefore, the emergency measures before the disaster are adjusted to be emergency trimming of the trees before the typhoon and reinforcement of the plants, and the specific emergency measures before the disaster of each tree or plant are determined according to the current garden landscape information. Therefore, the most critical moment before the disaster is mastered, and the implementation is carried out according to emergency measures before the disaster, so that the disaster loss is reduced to the maximum extent.
Further, step S30 includes:
step S33, when the life cycle of the disaster is disaster outbreak, acquiring disaster emergency measures corresponding to the disaster grade in the preset knowledge base according to the disaster grade;
step S34, acquiring the current available resource based on the third-party platform;
and step S35, comparing the current landscape information with the disaster history database, and adjusting the disaster emergency measures based on the comparison result and the current available resources.
And step S36, when the life cycle of the disaster is the end of the disaster, storing the garden landscape information corresponding to the life cycle of the disaster into the disaster history database, and storing the disaster emergency measures corresponding to the life cycle of the disaster into the knowledge base.
In this embodiment, when the life cycle of the disaster is the disaster outbreak, the weather information should be known and collected in time, and each related department needs to prepare necessary tool materials, machinery, manpower, night lighting, etc., which can all reduce the disaster degree.
Specifically, when the life cycle of a disaster is disaster outbreak, disaster emergency measures corresponding to disaster grades are acquired in a preset knowledge base according to the disaster grades, current available resources are acquired from third-party platforms of a plurality of relevant departments, and appropriate measures are screened out in the disaster emergency measures by combining the actual conditions of current landscape information if the number of necessary tool materials, the types and the number of equipment and the distribution conditions of workers who can participate in protection, namely the current landscape information is compared with a disaster history database, and the disaster emergency measures are adjusted according to comparison results and the current human and material resource conditions acquired by the third-party platforms. The disaster emergency measures are divided into two categories, namely detailed measure schemes and brief measure schemes, and include regional tree lodging rescue measures, casualty rescue measures, tree lodging and branch breakage rescue measures and the like.
And finally, when the life cycle of the disaster is the end of the disaster, after the disaster, the inclined or fallen trees need to be righted and earthed in time due to the attack of the disaster, corresponding remedial measures are taken, meanwhile, related data in the disaster process need to be stored, and then a disaster history database and a knowledge base are enriched, namely all landscape information in the life cycle process of the disaster is stored in the disaster history database, and disaster emergency measures corresponding to the life cycle of the disaster are stored in the knowledge base.
Further, in an embodiment, after the step S30, the method further includes:
step S40, performing man-machine interaction based on an application layer module of the disaster emergency decision system to obtain decision data;
and step S50, updating the disaster emergency measures corresponding to the gardens to be evaluated based on the decision data to obtain target emergency measures.
In this embodiment, the disaster emergency decision system is a system supporting human-computer interaction, the human-computer interaction is realized through an application layer module of the disaster emergency decision system, decision data is formed through subjective judgment, information communication, feedback and the like of experts in various industries, then the decision data of the experts is recorded into the disaster emergency decision system, and disaster emergency measures given by the system are updated, so that better emergency measures are obtained, gardens are protected, and the influence degree of disasters is reduced. The industry experts are qualified personnel and workers with practical experience in the field of garden industry, the industry experts perform man-machine interaction with the disaster emergency decision system, design schemes are continuously optimized on the basis of fully recognizing and preventing typhoon situations, scheme adjustment and supplement are performed through consultation, satisfactory schemes are selected and implemented as soon as possible.
It should be noted that the disaster emergency decision system feeds back the emergency measure execution condition and the execution result in real time, and the third-party platform and the data acquisition module connected with the network system module observe whether the execution result and the predicted result have a deviation in real time. If no deviation exists, the disaster emergency decision system continuously observes the execution condition and the execution result in real time; if the deviation occurs, the disaster emergency decision system dynamically corrects and adjusts disaster emergency measures; if the deviation is large, the disaster emergency decision system can correct the disaster emergency measures in time while dynamically correcting and adjusting the disaster emergency measures, and can feed back real-time feedback, correction and correction schemes to the knowledge base of the disaster emergency decision system in time.
According to the disaster emergency decision method provided by the embodiment, the current weather information, the life cycle of a disaster and the current landscape information corresponding to the garden to be evaluated are obtained, then the disaster grade corresponding to the current weather information is determined in the model base based on the life cycle of the disaster, and then the current landscape information corresponding to the garden to be evaluated is evaluated according to the life cycle of the disaster, the disaster grade, the preset disaster history database and the preset knowledge base, so that the disaster emergency measure corresponding to the garden to be evaluated is obtained. By monitoring disaster situations in real time, rapidly matching historical similar disaster situations by using a database and a model base, giving out disaster emergency management decisions through a knowledge base, and simultaneously, enabling a disaster emergency decision system to support man-machine interaction to obtain decision opinions of experts in the garden industry so as to optimize the disaster emergency management decisions and further perfect disaster emergency measures.
Based on the first embodiment, a second embodiment of the disaster emergency decision method of the present invention is provided, in this embodiment, before step S10, the method further includes:
step S60, constructing the disaster emergency decision system, wherein the disaster emergency decision system comprises a data acquisition module, a network system module, a system support module and an application layer module; the data acquisition module is used for acquiring current weather information, a life cycle of a disaster and current garden landscape information corresponding to a garden to be evaluated; the network system module is used for being in communication connection with a third party platform; the system support module comprises a model base, a disaster history database and a knowledge base, wherein the model base stores the mapping relation between weather information and disaster grades; and the application layer module is used for inquiring and displaying disaster related information based on a preset format and acquiring decision data so as to adjust disaster emergency measures.
In this embodiment, the disaster emergency decision system is a system that makes full use of computer science and technology and can provide powerful support for each main link of decision. The overall design structure of the system is as follows: the system is characterized in that a database, a knowledge base and a model base are used as basic information supports, the operating environment of a decision support system is built through an application layer, decision interactive evaluation of expert bases such as meteorological experts, garden experts and administrative departments and a computer is assisted, functions such as disaster monitoring, forecast, typhoon prevention decision and garden disaster evaluation are effectively achieved, and a system platform is continuously improved through decision interaction of the expert bases and the computer.
The disaster emergency decision system comprises a data acquisition module, a network system module, a system support module and an application layer module; the data acquisition module is used for acquiring current weather information, a life cycle of a disaster and current garden landscape information corresponding to a garden to be evaluated; the network system module is used for being in communication connection with a third party platform; the system support module comprises a model base, a disaster history database and a knowledge base, wherein the model base stores the mapping relation between weather information and disaster grades; the application layer module is used for inquiring and displaying disaster related information based on a preset format and acquiring decision data so as to adjust disaster emergency measures.
The disaster emergency decision-making system can be in communication connection with a plurality of third-party platforms for data interaction, the third parties at least comprise meteorological departments and disaster protection related departments, for example, the third-party platforms are used for acquiring weather information and human and material resources of the disaster protection related departments, and after disaster emergency measures are determined, the disaster emergency measures are issued to the related third-party platforms, and the disaster emergency measures are executed in a coordinated and matched mode among all the departments.
In addition, the data acquisition module of the disaster emergency decision system also acquires landscape information of the garden in real time, and the real-time accuracy of the information is the basic condition for correct decision. Landscape information of the garden is collected through the collecting equipment, the current garden condition is timely obtained, and then disaster emergency measures are determined through evaluating the disaster degree of the garden
The amount of data required by the disaster emergency decision system is very large, so the system must be built by relying on a database, a knowledge base and a model base. The database is used for storing data of related fields such as weather, gardens, emergency measures and the like related to decision support, and the knowledge base is used for scientifically and reasonably organizing related referential knowledge about typhoon, including knowledge for forming selectable schemes, knowledge for establishing selectable scheme evaluation models and evaluation standards, knowledge for modifying preselected schemes and the like. The model base abstracts and simulates the summarized custom rule on the basis of comparing a large amount of professional knowledge of a described object and a described process, stores the mapping relation between weather information and disaster grades, can acquire a corresponding mapping relation list of the weather information and the disaster grades in the same period by inputting the current weather information into the model base, and then obtains the disaster grade corresponding to the current weather information in the mapping relation list of the weather information and the disaster grades in the same period.
And scientifically analyzing and summarizing disaster situations according to the life cycle of the disaster corresponding to the current moment and the disaster grade determined by the model base and combining the disaster history database and preset knowledge base data to form a feasible scheme of a garden disaster prevention decision.
According to the disaster emergency decision method provided by the embodiment, the disaster condition real-time monitoring is carried out, the database and the model base are used for being rapidly matched with historical similar disaster conditions, the disaster emergency management decision is given through the knowledge base, and meanwhile, the disaster emergency decision system also supports man-machine interaction to obtain decision opinions of experts in the garden industry, so that the disaster emergency management decision is optimized, and disaster emergency measures are further perfected.
The invention further provides a disaster emergency decision device, and referring to fig. 3, fig. 3 is a functional module schematic diagram of an embodiment of the disaster emergency decision device of the invention.
The acquiring module 10 is used for acquiring current weather information, a life cycle of a disaster and current garden landscape information corresponding to a garden to be evaluated;
a determining module 20, configured to determine, in a model library, a disaster level corresponding to the current weather information based on a life cycle of the disaster;
and the evaluation module 30 is configured to evaluate the current landscape information corresponding to the garden to be evaluated according to the life cycle of the disaster, the disaster grade, a preset disaster history database and a preset knowledge base, so as to obtain disaster emergency measures corresponding to the garden to be evaluated.
Further, the disaster emergency decision device further comprises:
the disaster emergency decision system comprises a data acquisition module, a network system module, a system support module and an application layer module; the data acquisition module is used for acquiring current weather information, a life cycle of a disaster and current garden landscape information corresponding to a garden to be evaluated; the network system module is used for being in communication connection with a third party platform; the system support module comprises a model base, a disaster history database and a knowledge base, wherein the model base stores the mapping relation between weather information and disaster grades; and the application layer module is used for inquiring and displaying disaster related information based on a preset format and acquiring decision data so as to adjust disaster emergency measures.
Further, the determining module 20 is further configured to:
acquiring a mapping relation list of contemporaneous weather information and disaster grades corresponding to the current weather information from the model base;
and determining the disaster grade corresponding to the current weather information in the mapping relation list of the weather information and the disaster grade in the same period.
Further, the evaluation module 30 is further configured to:
when the life cycle of the disaster is in the early stage of the disaster, acquiring pre-disaster emergency measures corresponding to the disaster grade in the preset knowledge base according to the disaster grade;
and comparing the current landscape information with the disaster history database, and adjusting the pre-disaster emergency measures based on the comparison result.
Further, the evaluation module 30 is further configured to:
when the life cycle of the disaster is disaster outbreak, acquiring disaster emergency measures corresponding to the disaster grade in the preset knowledge base according to the disaster grade;
acquiring a current available resource based on a third-party platform;
and comparing the current landscape information with the disaster history database, and adjusting the disaster emergency measures based on the comparison result and the current available resources.
Further, the evaluation module 30 is further configured to:
and when the life cycle of the disaster is the end of the disaster, storing the garden landscape information corresponding to the life cycle of the disaster into the disaster history database, and storing the disaster emergency measures corresponding to the life cycle of the disaster into the knowledge base.
Further, the disaster emergency decision device further comprises:
the human-computer interaction module is used for performing human-computer interaction based on an application layer module of the disaster emergency decision system to obtain decision data;
and the updating module is used for updating the disaster emergency measures corresponding to the gardens to be evaluated based on the decision data to obtain target emergency measures.
In addition, an embodiment of the present invention further provides a readable storage medium, where a disaster emergency decision program is stored on the readable storage medium, and when the disaster emergency decision program is executed by a processor, the disaster emergency decision program implements the steps of the disaster emergency decision method in the above embodiments.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a readable storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above, and includes several instructions for enabling a system device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A disaster emergency decision method is applied to a disaster emergency decision system, and comprises the following steps:
acquiring current weather information, a life cycle of a disaster and current garden landscape information corresponding to a garden to be evaluated;
determining a disaster grade corresponding to the current weather information in a model base based on the life cycle of the disaster;
and evaluating the current landscape information corresponding to the garden to be evaluated according to the life cycle of the disaster, the disaster grade, a preset disaster historical database and a preset knowledge base to obtain disaster emergency measures corresponding to the garden to be evaluated.
2. The disaster emergency decision method as claimed in claim 1, wherein before the step of obtaining the current weather information and the landscape information corresponding to the landscape to be evaluated, comprising:
constructing the disaster emergency decision system, wherein the disaster emergency decision system comprises a data acquisition module, a network system module, a system support module and an application layer module; the data acquisition module is used for acquiring current weather information, a life cycle of a disaster and current garden landscape information corresponding to a garden to be evaluated; the network system module is used for being in communication connection with a third party platform; the system support module comprises a model base, a disaster history database and a knowledge base, wherein the model base stores the mapping relation between weather information and disaster grades; and the application layer module is used for inquiring and displaying disaster related information based on a preset format and acquiring decision data so as to adjust disaster emergency measures.
3. The disaster emergency decision method as claimed in claim 1, wherein the step of determining a disaster level corresponding to the current weather information in a model base based on the life cycle of the disaster comprises:
acquiring a mapping relation list of contemporaneous weather information and disaster grades corresponding to the current weather information from the model base;
and determining the disaster grade corresponding to the current weather information in the mapping relation list of the weather information and the disaster grade in the same period.
4. The disaster emergency decision method according to claim 1, wherein the step of evaluating the current landscape information corresponding to the garden to be evaluated according to the life cycle of the disaster, the disaster level, a preset disaster history database and a preset knowledge base to obtain disaster emergency measures corresponding to the garden to be evaluated comprises:
when the life cycle of the disaster is in the early stage of the disaster, acquiring pre-disaster emergency measures corresponding to the disaster grade in the preset knowledge base according to the disaster grade;
and comparing the current landscape information with the disaster history database, and adjusting the pre-disaster emergency measures based on the comparison result.
5. The disaster emergency decision method according to claim 1, wherein the step of evaluating the current landscape information corresponding to the garden to be evaluated according to the life cycle of the disaster, the disaster level, a preset disaster history database and a preset knowledge base to obtain disaster emergency measures corresponding to the garden to be evaluated comprises:
when the life cycle of the disaster is disaster outbreak, acquiring disaster emergency measures corresponding to the disaster grade in the preset knowledge base according to the disaster grade;
acquiring a current available resource based on a third-party platform;
and comparing the current landscape information with the disaster history database, and adjusting the disaster emergency measures based on the comparison result and the current available resources.
6. The disaster emergency decision method as claimed in claim 5, wherein after the step of comparing the current landscape information with the disaster history database and adjusting the disaster emergency measure based on the comparison result and the current available resources, further comprising:
and when the life cycle of the disaster is the end of the disaster, storing the garden landscape information corresponding to the life cycle of the disaster into the disaster history database, and storing the disaster emergency measures corresponding to the life cycle of the disaster into the knowledge base.
7. The disaster emergency decision method according to any one of claims 1 to 6, wherein after the step of evaluating the current landscape information corresponding to the garden to be evaluated according to the life cycle of the disaster, the disaster level, a preset disaster history database and a preset knowledge base to obtain the disaster emergency measure corresponding to the garden to be evaluated, the method comprises:
performing man-machine interaction based on an application layer module of the disaster emergency decision system to obtain decision data;
and updating the disaster emergency measures corresponding to the gardens to be evaluated based on the decision data to obtain target emergency measures.
8. A disaster emergency decision device, comprising:
the acquisition module is used for acquiring current weather information, a life cycle of a disaster and current garden landscape information corresponding to a garden to be evaluated;
the determining module is used for determining the disaster grade corresponding to the current weather information in a model base based on the life cycle of the disaster;
and the evaluation module is used for evaluating the current garden landscape information corresponding to the garden to be evaluated according to the life cycle of the disaster, the disaster grade, a preset disaster historical database and a preset knowledge base to obtain disaster emergency measures corresponding to the garden to be evaluated.
9. An apparatus, wherein the apparatus is for disaster emergency decision-making, the apparatus comprising: a memory, a processor, and a disaster emergency decision program stored on the memory and executable on the processor, the disaster emergency decision program when executed by the processor implementing the steps of the disaster emergency decision method according to any one of claims 1 to 7.
10. A readable storage medium, having stored thereon the disaster emergency decision program, which when executed by a processor, performs the steps of the disaster emergency decision method according to any one of claims 1 to 7.
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