CN117273401A - Emergency command method, system and storage medium based on case reasoning and simulation - Google Patents
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Abstract
The invention provides an emergency command method, a system and a storage medium based on case reasoning and simulation, wherein the method comprises the following steps: acquiring trigger information only containing the data of the Internet of things or event information, and determining an event type corresponding to the trigger information; acquiring characteristic parameters corresponding to the trigger information, and determining a preliminary emergency command plan corresponding to the event type from a case database based on the characteristic parameters, wherein a plurality of emergency command plans are stored in the case database; visual simulation is carried out on the preliminary emergency command plan to obtain a corresponding simulation result, a reference emergency command plan corresponding to the event type is determined based on the simulation result, emergency command information corresponding to the reference emergency command plan is generated, and the emergency command information is sent to a corresponding mobile terminal; and receiving a processing result of the emergency corresponding to the event type based on the emergency command information, and determining a final emergency command plan for processing the emergency based on the processing result. The method and the device can improve the accuracy of handling the emergency.
Description
Technical Field
The application relates to the technical field of emergency command, in particular to an emergency command method, an emergency command system and a storage medium based on case-based reasoning and simulation.
Background
When an emergency occurs, the quick and effective response is critical, otherwise serious risk safety accidents are caused, and even a series of losses are caused. The emergency command is most important, and the emergency command is used for fully playing the limited emergency force control situation development by applying the correct command under the emergency condition, so that the effects of reducing loss and protecting the life and property safety of the emergency command under the emergency condition are shown. Therefore, emergency command is an effective means for reducing loss caused by emergency at present.
At present, emergency command is generally performed on an emergency through a multiparty linkage mode, namely, a command center module is used for performing network supervision and emergency command, and the command center module comprises a control center module and a display module, wherein a plurality of control center modules in the command center module adopt a multi-activity operation mode, business is processed at the same time, and data collection nodes of all lines are accessed nearby. And emergency communication and monitoring of an interruption area are carried out by using emergency individual equipment, and real-time audio and video geographic position data information of the emergency scene is scheduled back to an emergency command platform. The cooperative rescue module is used for carrying out emergency cooperative rescue under a series of emergency events such as bus connection, police, flood, fire disaster and casualties. When the linkage command module is used for handling major emergencies, data transmission, voice communication and video access are established. By executing the technical scheme, although emergency command can be carried out on the emergency, system rescue and linkage command are realized, when the emergency occurs in the actual process, command personnel are required to carry out corresponding command according to own experience, and the task of each command personnel cannot be effectively completed to command, namely the existing method cannot well complete the processing work on the emergency, so that the emergency command process depends on the own experience of the command personnel more, and the accuracy of processing the emergency is lower.
Disclosure of Invention
In order to improve the accuracy of handling emergency events, the embodiment of the application provides an emergency command method, an emergency command system and a storage medium based on case-based reasoning and simulation.
In a first aspect, the present embodiment provides a case-based reasoning and simulation-based emergency command method, where the method includes:
acquiring trigger information only comprising Internet of things data or event information, and determining an event type corresponding to the trigger information;
acquiring characteristic parameters corresponding to the trigger information, and determining a preliminary emergency command plan corresponding to the event type from a case database based on the characteristic parameters, wherein a plurality of emergency command plans are stored in the case database;
performing visual simulation on the preliminary emergency command plan to obtain a corresponding simulation result, determining a reference emergency command plan corresponding to the event type based on the simulation result, generating emergency command information corresponding to the reference emergency command plan, and sending the emergency command information to a corresponding mobile terminal;
and receiving a processing result of the emergency corresponding to the event type based on the emergency command information, and determining a final emergency command plan for processing the emergency based on the processing result.
In some of these embodiments, determining a preliminary emergency command plan from the case database that should address the event type based on the characteristic parameters includes:
using the characteristic parameters as input parameters of a plan selection model, and determining a plan score corresponding to each emergency command plan in the case database by using the plan selection model;
and determining the emergency command plan corresponding to the highest plan score in all the plan scores as a preliminary emergency command plan corresponding to the event type.
In some of these embodiments, the simulation results include a matching result that characterizes the preliminary emergency command plan matching the event type and a non-matching result that characterizes the preliminary emergency command plan not matching the event type, and determining a reference emergency command plan corresponding to the event type based on the simulation results includes:
judging whether the simulation result is a matching result, if so, determining the preliminary emergency command plan as a reference emergency command plan corresponding to the event type;
otherwise, generating a case changing instruction every time a non-matching result is generated, and re-determining a preliminary emergency command plan for one event type based on the case changing instruction so as to obtain a preliminary emergency command plan matched with the event type.
In some of these embodiments, the processing results include a completion result characterizing the resolved incident and a work result characterizing the unresolved incident, and determining a final emergency command plan to process the incident based on the processing results includes:
judging whether the processing result is a working result or not every time a processing result is obtained, if so, acquiring target information corresponding to the emergency, generating corresponding adjusting information based on the target information and the working result, generating adjusting emergency command information corresponding to the adjusting information, and sending the adjusting emergency command information to a corresponding mobile terminal to continuously receive the corresponding processing result;
and if not, the triggering information, the reference emergency command plan, the emergency command information and all the adjustment emergency command information are arranged to obtain a final emergency command plan for processing the emergency.
In some embodiments, determining the event type corresponding to the trigger information includes:
judging whether the trigger information only comprises event information or not, if yes, acquiring attribute characteristics of event attributes in the event information, and determining event types corresponding to the trigger information based on the attribute characteristics;
Otherwise, performing research and judgment preprocessing on the internet of things data to obtain abnormal internet of things data with abnormality in the internet of things data and a reference internet of things data set with direct relation with the abnormal internet of things data, and obtaining the event type corresponding to the trigger information by searching an intersection of the event type corresponding to the abnormal internet of things data and the event type corresponding to the abnormal parameter internet of things data set with abnormality in the reference internet of things data set.
In some of these embodiments, determining the final emergency command plan for the incident based on the processing result further includes: the final emergency command plan is stored in the case database.
In some embodiments, acquiring the feature parameter corresponding to the trigger information includes:
if the trigger information is event information, acquiring parameters corresponding to each attribute in the event information to obtain characteristic parameters corresponding to the trigger information;
and if the triggering information is the internet of things data, acquiring supplementary parameters provided by staff, and analyzing the abnormal internet of things data and the change trend of the internet of things data in the corresponding abnormal internet of things data set to obtain characteristic parameters corresponding to the triggering information.
In a second aspect, the present embodiment provides a case-based reasoning and simulation-based emergency command system, the system comprising: the system comprises an emergency event management module, a plan management module and an emergency command module; wherein,
the emergency event management module is used for acquiring trigger information only comprising the data of the Internet of things or event information and determining the event type corresponding to the trigger information; acquiring characteristic parameters corresponding to the trigger information;
the plan management module is used for placing a case database; determining a preliminary emergency command plan corresponding to the event type from a case database based on the characteristic parameters, wherein a plurality of emergency command plans are stored in the case database;
the emergency command module is used for carrying out visual simulation on the preliminary emergency command plan to obtain a corresponding simulation result, determining a reference emergency command plan corresponding to the event type based on the simulation result, generating emergency command information corresponding to the reference emergency command plan, and sending the emergency command information to the corresponding mobile terminal;
the plan management module is further configured to receive a processing result of the emergency corresponding to the event type based on the emergency command information, and determine a final emergency command plan for processing the emergency based on the processing result.
In some of these embodiments, the plan management module is further configured to store the final emergency command plan in the case database.
In a third aspect, embodiments of the present application provide a storage medium having stored thereon a computer program executable on a processor, the computer program implementing the case-based reasoning and emulation-based emergency command method as described in the first aspect when executed by the processor.
By adopting the method, the triggering information only comprising the data of the Internet of things or the event information is firstly acquired, so that the event type corresponding to the triggering information is determined. Therefore, various ways can be realized to acquire the trigger information, particularly the trigger information is acquired in an Internet of things mode, the trigger information corresponding to the emergency event can be acquired in time, the type of the event can be further determined based on the acquired trigger information, and accordingly corresponding emergency command can be made.
And then acquiring characteristic parameters corresponding to the triggering information, and storing a plurality of set emergency command plans in a case database. By using the obtained characteristic parameters to search an emergency command plan from the case database as a preliminary emergency command plan of the event type, the dependence on the experience of the commander can be reduced.
And then carrying out visual simulation on the preliminary emergency command plan to obtain a corresponding simulation result, determining a reference emergency commander corresponding to the event type based on the simulation result, generating emergency command information corresponding to the reference emergency command plan, and sending the emergency command information to the corresponding mobile terminal. The 3D visual simulation is carried out on the generated preliminary emergency command plan, the scientificity of the preliminary emergency command plan is verified in advance, the defects of the preliminary emergency command plan are timely found, the preliminary emergency command plan is optimized in advance, and the harm caused by an emergency is reduced.
And finally, receiving a processing result of the emergency corresponding to the event type based on the emergency command information, and determining a final emergency command plan for processing the emergency based on the processing result. The method has the advantages that the staff can perform corresponding operation based on the newly received emergency command information, the efficiency of completing emergency command on the emergency is improved, and damage caused by the emergency is reduced. The emergency command information can be sent to corresponding staff through graph theory and path algorithm according to the positioning system and the mobile terminal by taking the emergency command information as a starting point, so that the emergency can be solved in a 'cross-department, cross-region and cross-level' manner.
In addition, the simulation results comprise matching results representing the types of the matching events of the preliminary emergency command plans and non-matching results representing the types of the non-matching events of the preliminary emergency command plans. Determining a reference emergency command plan for the corresponding event type based on the simulation result includes: judging whether the simulation result is a matching result, if so, determining the preliminary emergency command plan as a reference emergency command plan of a corresponding event type; otherwise, generating a case changing instruction every time a non-matching result is generated, and re-determining the preliminary emergency command plan for one event type based on the case changing instruction so as to obtain the preliminary emergency command plan for the matching event type. The accuracy of the preliminary emergency command plan is improved in a continuous circulation mode, the number of times of subsequent emergency command information adjustment is reduced, and therefore the emergency event solving efficiency is improved for the follow-up operation.
Drawings
Fig. 1 is a schematic structural diagram of an emergency command system based on case-based reasoning and simulation provided in this embodiment.
Fig. 2 is a block diagram of an emergency command method based on case-based reasoning and simulation provided in this embodiment.
Fig. 3 is a block diagram of event types corresponding to the determination trigger information provided in the present embodiment.
Fig. 4 is a cyclic block diagram of the tuning emergency command provided in this embodiment.
Fig. 5 is a flow chart of emergency command based on case-based reasoning and simulation provided by the present embodiment.
Detailed Description
For a clearer understanding of the objects, technical solutions and advantages of the present application, the present application is described and illustrated below with reference to the accompanying drawings and examples. However, it will be apparent to one of ordinary skill in the art that the present application may be practiced without these details. It will be apparent to those having ordinary skill in the art that various changes can be made to the embodiments disclosed herein and that the general principles defined herein may be applied to other embodiments and applications without departing from the principles and scope of the present application. Thus, the present application is not limited to the embodiments shown, but is to be accorded the widest scope consistent with the scope claimed herein.
Embodiments of the present application are described in further detail below with reference to the drawings attached hereto.
The emergency command method and the emergency command device are used for conducting emergency command on the basis of case-based reasoning and 3D visual simulation. The emergency command for the emergency is mainly provided with two core points. The first core point is a case reasoning function, which is to infer a scheme of matching the emergency which occurs currently according to the case, reduce the degree of depending on the experience of commander, and improve the accuracy of handling the emergency. The second core point is to perform visual simulation on the matched plan, so that scientificity of the plan is verified in advance, defects of the plan can be found in time, and harm caused by an emergency is reduced by optimizing the plan in advance.
Fig. 1 is a schematic structural diagram of an emergency command system based on case-based reasoning and simulation provided in this embodiment. As shown in fig. 1, the emergency command system based on case-based reasoning and simulation comprises a plan management module, an emergency event management module and an emergency command module. The plan management module comprises a plan template unit, a plan input unit and a plan generation unit. The plan template unit can provide a multi-scene plan template, so that a user can formulate a new plan based on the plan template according to requirements. When a plan is manufactured, a plan input unit is used for adding corresponding parameters in a plan template, and then characteristic parameters are extracted according to the types of each type of plans, wherein the purpose of extracting the characteristic parameters is to provide parameter input for the subsequent determination of the emergency command plans. Finally, a plan is obtained by using a plan generating unit and combining characteristic parameters, and the plan is stored in a plan management module.
The emergency event management module comprises an Internet of things event research unit, an external event access unit and an event information association unit. The system comprises an Internet of things event research and judgment unit, an Internet of things event research and judgment unit and a data analysis unit, wherein the Internet of things event research and judgment unit is used for collecting sensor data and cleaning and excavating the Internet of things data to research and judge the Internet of things data. The external event access unit provides an external event access function and can access other external emergency events which are actively provided by people. The event information association unit provides a function of storing parameters related to the event which need to be provided by the commander, and can receive the parameters related to the event provided by the commander.
The emergency command module comprises a 3D visual simulation unit, a treatment scheme determining unit and a mobile terminal instruction sending unit. The 3D visual simulation unit can perform 3D visual simulation on the determined scheme. The unit for determining the treatment scheme can be correspondingly adjusted based on the 3D visual simulation result to obtain emergency command information which needs to be executed by each worker. The mobile terminal command sending unit can send the emergency command information to corresponding staff to enable the staff to execute the received emergency command information. In addition, the staff feeds back relevant parameters after the emergency command information is executed to the emergency command system based on case reasoning and 3D visual simulation in real time so as to continuously perfect the 3D visual simulation, thereby accurately and rapidly completing the emergency command of the emergency and reducing the loss caused by the emergency.
Fig. 2 is a block diagram of an emergency command method based on case-based reasoning and simulation provided in this embodiment. As shown in fig. 2, the case-based reasoning and simulation emergency command method comprises the following steps:
step S100, acquiring trigger information only containing the data of the Internet of things or the event information, and determining the event type corresponding to the trigger information.
The whole process from generating the emergency to obtaining the corresponding emergency command to deal with the emergency relates to an Internet of things end, an emergency command end and a mobile terminal. The embodiment discloses an emergency command method based on case-based reasoning and simulation on the side of an emergency command end. The triggering information specifically refers to information describing the emergent event, and the triggering information can be obtained by related staff through a mode of actively sending the triggering information to the emergent command end, such as a mode of actively making a call by the staff, a mode of actively filling in a form and the like; the data of the Internet of things collected by the sensor associated with the emergency command terminal can be obtained. After the emergency command terminal acquires the trigger information, the event type corresponding to the trigger information needs to be determined first, so that the emergency command plan corresponding to the event type is determined. Fig. 3 is a block diagram of event types corresponding to the determination trigger information provided in the present embodiment. As shown in fig. 3, determining the event type corresponding to the trigger information includes the following steps:
step S101, judging whether the trigger information only comprises event information, if yes, acquiring attribute characteristics representing event attributes in the event information, and determining event types corresponding to the trigger information based on the attribute characteristics.
Step S102, if not, performing research and judgment preprocessing on the Internet of things data to obtain abnormal Internet of things data with abnormality in the Internet of things data and a reference Internet of things data set with direct relation with the abnormal Internet of things data, and obtaining an event type corresponding to the trigger information by searching an intersection of an event type corresponding to the abnormal Internet of things data and an event type corresponding to the abnormal Internet of things data set with abnormality in the reference Internet of things data set.
The triggering information only comprises one of event information or internet of things data, and whether the triggering information only comprises the event information can be determined by checking whether the triggering information is obtained by actively sending information by related staff or by collecting the internet of things data by a sensor associated with the emergency command terminal when the emergency command terminal receives the triggering information. If the trigger information is obtained by actively sending the trigger information by the related staff, the trigger information only comprises event information; if the trigger information is obtained in a mode of actively sending by related staff or in a mode of acquiring the internet of things data by a sensor associated with the emergency command end, the trigger information does not comprise event information but only comprises the internet of things data.
In the case that only the event information is included in the trigger information, the trigger information is a plurality of sentences for describing the emergency event, and sentences for describing the event attribute are determined from the sentences by using a keyword extraction manner or a semantic analysis manner, so that the sentences for describing the event attribute are determined as the attribute characteristics of the event information. The type to which the attribute feature belongs is the event type to which the trigger information corresponds. For example, the event information includes sentences that an emergency event occurs at a certain place, a road at the place of the event is a highway, the place of the event is a sunny day, the emergency event of a third level, the current road can normally pass, no rollover occurs, no road production loss occurs, vehicles are damaged, no casualties occur, no people are trapped, and the like, so that the attribute of the event information is characterized in that the vehicles are damaged, and the event type corresponding to the triggering information is a traffic type.
Under the condition that the triggering information only comprises the internet of things data, the emergency command terminal can acquire a large amount of internet of things data, wherein normal internet of things data representing the condition that no abnormal condition occurs and abnormal internet of things data representing the condition that the abnormal condition occurs exist. The abnormal internet of things data in the internet of things data and the reference internet of things data directly related to the abnormal internet of things data can be obtained by performing the research preprocessing operation of cleaning and mining all the acquired internet of things data by using one of a box division method, a clustering method or a regression method. For example, the internet of things data includes internet of things data of the number of faces acquired by the snapshot camera, internet of things data of the traffic data, which is the traffic data acquired by the traffic detection device, internet of things data of the weather acquired by the weather detection device, internet of things data of the positions of people acquired by the snapshot camera and corresponding vehicles, internet of things data of the water amount acquired by the water amount detection device, and internet of things data of the device operation acquired by the operation data detection device. After the collected internet of things data are subjected to research and judgment preprocessing operation, the situation that the face quantity internet of things collected data are abnormal internet of things data and the position internet of things data and the traffic flow internet of things data are corresponding reference internet of things data can be obtained.
Each piece of internet of things data is provided with a plurality of corresponding event types, for example, the face number of the people corresponds to the traffic event type, the construction event type and the earthquake event type; the position internet of things data corresponds to a traffic event type and a construction event type; traffic event types correspond to the traffic flow Internet of things data; the weather internet of things data corresponds to a paddy-upland event type and a seismic event type; the water quantity Internet of things data corresponds to a type of a paddy field and dry land event; the equipment operation Internet of things data corresponds to a construction event type.
The face quantity internet of things data has a direct relation with one data set of the position internet of things data and the traffic flow internet of things data, has a direct relation with one data set of the position internet of things data and the equipment operation internet of things data, and has a direct relation with one data set of the weather internet of things data; the position internet of things data has a direct relation with one data set of the face quantity internet of things data and the traffic flow internet of things data, and has a direct relation with the face quantity internet of things data and the equipment operation internet of things data; the data of the internet of things of the traffic flow has a direct relationship with one data set of the face quantity internet of things data and the position internet of things data; the weather internet of things data has a direct relation with one data set of the water quantity internet of things data, and has a direct relation with one data set of the face quantity internet of things data; the data set of the water quantity Internet of things data and the weather Internet of things data has a direct relation; the device operation internet of things data has a direct relationship with the one data set of the location internet of things data. Therefore, the event type corresponding to the trigger information can be obtained by searching the event type corresponding to the abnormal Internet of things data and the event type commonly owned by the abnormal reference Internet of things data sets in the corresponding reference Internet of things data sets. For example, the face number internet of things data is abnormal internet of things data, one data set of position internet of things data and traffic flow internet of things data, one data set of position internet of things data and equipment operation internet of things data, and one data set of weather internet of things data are all reference internet of things data sets of face number internet of things data. And determining which of the three reference internet of things data sets is abnormal internet of things data, so that the determined one internet of things data set is determined to be the abnormal reference internet of things data set, and the event type corresponding to the abnormal reference internet of things data set and the face number internet of things data together is the event type corresponding to the trigger information. Therefore, various ways can be realized to acquire the trigger information, particularly the trigger information is acquired in an Internet of things mode, the trigger information corresponding to the emergency event can be acquired in time, the type of the event can be further determined based on the acquired trigger information, and accordingly corresponding emergency command can be made.
Step S200, obtaining characteristic parameters corresponding to the trigger information, and determining a preliminary emergency command plan corresponding to the event type from a case database based on the characteristic parameters, wherein a plurality of emergency command plans are stored in the case database.
After determining the type of the emergency event, the feature parameters corresponding to the trigger information need to be further acquired so as to facilitate the subsequent determination of the corresponding emergency command. The method for acquiring the characteristic parameters corresponding to the repeated information comprises the following steps:
step S201, if the trigger information is event information, parameters corresponding to each attribute in the event information are obtained to obtain feature parameters corresponding to the trigger information.
Step S202, if the triggering information is the Internet of things, acquiring supplementary parameters provided by staff, and analyzing the abnormal Internet of things data and the change trend of the Internet of things data in the corresponding abnormal Internet of things data set to obtain characteristic parameters corresponding to the triggering information.
The characteristic parameters described above specifically characterize parameters that describe the emergency event. The parameters are not limited to specific values and may be determined based on the algorithm used subsequently to determine the preliminary emergency command plan. Among other algorithms used to determine the preliminary emergency command plan include, but are not limited to, using a naive bayes algorithm, a K nearest neighbor algorithm (KNN), a Decision Tree algorithm (Decision Tree), a generalized inference strategy algorithm, and the like. The present embodiment employs a naive bayes algorithm.
In the case that the trigger information is event information, each sentence included in the event information is a parameter corresponding to each attribute in the event information, that is, a feature parameter corresponding to the trigger information is each sentence included in the trigger information.
Under the condition that the trigger information is the internet of things data, the historical normal internet of things data of the abnormal internet of things data at the historical moment can be obtained, and then the change trend of the abnormal internet of things data relative to the historical normal internet of things data is obtained by comparing the current obtained abnormal internet of things data with the corresponding historical normal internet of things data. Similarly, each piece of internet of things data in the abnormal internet of things data set is compared with the corresponding historical normal internet of things data, so that the change trend of each piece of material network data in the abnormal internet of things data set relative to the corresponding historical normal internet of things data is obtained. And obtaining the characteristic parameters of the Internet of things, which can be obtained through the data of the Internet of things, through comprehensively analyzing all the obtained variation trends. And secondly, other characteristic parameters corresponding to the trigger information can be obtained through a question-answer mode or an active supplement mode of related staff. The characteristic parameters of the Internet of things and other characteristic parameters obtained in this way jointly form the characteristic parameters corresponding to the trigger information.
A plurality of set emergency command plans are stored in the case database. By using the obtained characteristic parameters to search an emergency command plan from the case database as a preliminary emergency command plan of the event type, the dependence on the experience of the commander can be reduced. Wherein determining a preliminary command plan for the event type from the case database based on the characteristic parameters comprises the steps of:
step S203, the characteristic parameters are used as input parameters of a plan selection model, and the plan score corresponding to each emergency command plan in the case database is determined by using the original selection model.
Step S204, determining the emergency command plan corresponding to the highest plan score in all the plan scores as a preliminary emergency command plan corresponding to the event type.
The above-mentioned plan selection model may be, but is not limited to, any one of a naive bayes algorithm selection model, a K-nearest neighbor algorithm selection model, a decision tree selection model, and a generalization inference strategy selection model. The naive bayes algorithm selection model is more consistent with the method for determining the preliminary emergency command plan in the embodiment due to the characteristics of simplicity, high robustness, high efficiency and the like, so that the naive bayes algorithm selection model is preferentially used as the plan selection model in the embodiment. And the obtained characteristic parameters are sent to the input end of the naive Bayesian selection model, so that the obtained characteristic parameters are the input parameters of the naive Bayesian algorithm selection model, and the characteristic parameters are processed in the naive Bayesian algorithm selection model to obtain the corresponding plan score of each emergency command plan stored in the plan database under the action of the characteristic parameters. The higher the plan score, the more effective the emergency command plan corresponding to the plan score can solve the emergency. Therefore, the emergency command plan corresponding to the highest plan score in all the plan scores is determined as a preliminary emergency command plan of the event type by comparing the scores corresponding to each emergency command plan. On the one hand, the corresponding emergency command is determined according to the emergency event without completely depending on the experience of the command personnel, and the dependence of handling the emergency event on the experience of the personnel is reduced. On the other hand, when the trigger information is received, the thinking about whether the commander is in a busy state is reduced, and the preliminary emergency command scheme of the emergency is determined in time based on the trigger information mainly through the set and stored emergency command scheme and the corresponding processing algorithm and logic, so that the efficiency of processing the emergency is improved. And the preliminary emergency command plan is automatically generated through the case database and the plan selection model, so that the accuracy and efficiency of the preliminary emergency command plan can be improved.
And step S300, performing visual simulation on the preliminary emergency command plan to obtain a corresponding simulation result, determining a reference emergency command plan corresponding to the event type based on the simulation result, generating emergency command information corresponding to the reference emergency command plan, and sending the emergency command information to the corresponding mobile terminal.
When the preliminary emergency command plan of the emergency is determined, related software with 3D visual simulation can be used for carrying out 3D visual simulation on event attributes including coordinates, plan information including personnel roles, personnel quantity and emergency command information and scene modeling including road networks, floors and the like in the preliminary emergency command plan, so that simulation results corresponding to the preliminary emergency command plan are obtained in a 3D dynamic display mode. Wherein the related software with 3D visual simulation includes, but is not limited to, one of 3DS MAX software, houdini software, autodesk Maya software, solidWorks software. The 3D visual simulation is carried out on the generated preliminary emergency command plan, the scientificity of the preliminary emergency command plan is verified in advance, the defects of the preliminary emergency command plan are timely found, the preliminary emergency command plan is optimized in advance, and the harm caused by an emergency is reduced.
The simulation result comprises two results, wherein one is a matching result representing the type of the matching event of the preliminary emergency command plan, and the other is a non-matching result representing the type of the non-matching event of the preliminary emergency command plan. After the simulation result is obtained, the emergency command plan which is finally required to be referenced by the corresponding staff, namely the reference emergency command plan, needs to be determined based on the simulation result. The method for determining the reference emergency command plan of the corresponding event type based on the simulation result comprises the following steps of:
step S301, judging whether the simulation result is a matching result, if so, determining the preliminary emergency command plan as a reference emergency command plan corresponding to the event type.
Step S302, if not, generating a case changing instruction every time a non-matching result is generated, and re-determining a preliminary emergency command plan for the event type based on the case changing instruction so as to obtain a preliminary emergency command plan for the matching event type.
And checking whether the 3D visual simulation result is the resolved emergency or not as a judging standard. If the 3D visual simulation result is that the emergency is solved, the simulation result is a matching result; if the 3D visual simulation result is not solving the emergency, the simulation result is a non-matching result. Under the condition that the simulation result is a matching result, the preliminary emergency command plan obtained in the step S200 can solve the emergency, and then the preliminary emergency command plan is the reference emergency command plan of the event type.
Under the condition that the simulation result is a non-matching result, the fact that the preliminary emergency command plan obtained in the step S200 can not solve the emergency is indicated, and the preliminary emergency command plan of the event type in the step S200 needs to be determined again. Generating a case changing instruction when the simulation result is a non-matching result, re-determining a preliminary emergency command plan of the event type in a case database based on the case changing instruction, performing 3D visual simulation on the re-obtained preliminary emergency command plan to obtain a corresponding simulation result, continuously generating the case changing instruction under the condition that the simulation result is the non-matching result, repeating the steps to obtain the matching result, not generating the case changing instruction any more, and determining the preliminary emergency command plan corresponding to the finally obtained matching result as a reference emergency command plan of the event type.
In addition, after the reference emergency command plan is obtained, emergency command information corresponding to the reference emergency command plan needs to be generated. Wherein, this emergency command information characterizes which staff is required to do which work. When the preliminary emergency command plan is subjected to visual simulation, plan information comprising personnel roles, personnel numbers and emergency command information is already disclosed, namely, which staff is required to do which work. Therefore, the emergency command information in the determined reference emergency command plan information when the 3D visual simulation is carried out is copied, and the emergency command information corresponding to the reference emergency command plan can be obtained. And then, based on the staff corresponding to each emergency command information, the corresponding emergency command information is sent to the mobile terminal of the corresponding staff, so that the corresponding staff can receive the emergency command information which needs to be executed by the staff. For example, an emergency command information corresponding to a reference emergency command plan is an emergency command center staff required to investigate emergency characteristic parameters, the emergency characteristic parameters are stored at an emergency command end, the emergency command plan is generated, and the video monitoring and scheduling management determines and informs relevant departments that the staff participate in rescue work; the traffic police department staff needs on-site warning and dredging, controls traffic accident onset persons, dredges irrelevant vehicles and persons, guides medical vehicles to enter an accident site, helps medical staff to carry out relevant rescue work, and carries out on-site investigation and responsibility identification on traffic accidents and cargo scattering events; the staff of the bridge road management unit needs to clean road impurities, lift and turn over the vehicle, pull vehicles which can not normally run, repair damaged road surfaces and road products, and connect transportation enterprises or social vehicles to carry out non-leakage dangerous chemical overloading; the staff of the health department needs to treat the wounded crowd in the accident; the personnel of the fire department need to organize rescue work to rescue trapped personnel; police staff need to control the driver. After the reference emergency command plan capable of solving the emergency is obtained through the 3D visual simulation, emergency command information required by each worker to execute the reference emergency command plan is sent to the corresponding worker through the mobile terminal, so that the worker can perform corresponding operation only according to the received emergency command information, communication with other workers is not required, and communication cost can be reduced.
Step S400, receiving a processing result of the emergency corresponding to the event type based on the emergency command information, and determining a final emergency command plan for processing the emergency based on the processing result.
And the staff can feed back the information of the site to the emergency command terminal when carrying out corresponding operation according to the emergency command information, namely, the processing result of the emergency corresponding to the event type. The processing results include two types, one is a finishing result representing the solved emergency, and the other is a working result representing the unresolved emergency. The completion result shows that the worker has completed his own handling operation for the emergency. The working result shows that the worker does not complete the processing operation of the worker on the emergency. In order to better, timely and pointedly complete the emergency command of the emergency, the corresponding emergency command information is also required to be adjusted based on the processing result so as to determine the final emergency command plan for processing the emergency. The final emergency command plan for determining the emergency event based on the processing result comprises the following steps:
step S401, judging whether the processing result is a working result or not every time one processing result is obtained, if so, obtaining target information corresponding to the emergency, generating corresponding adjusting information based on the target information and the working result, generating adjusting emergency command information corresponding to the adjusting information, and sending the adjusting emergency command information to the corresponding mobile terminal to continuously receive the corresponding processing result.
And step S402, if not, the triggering information, the reference emergency commander, the emergency command information and all the adjustment emergency command information are arranged to obtain a final emergency command plan for handling the emergency.
Checking whether the received processing result has a keyword for representing the completion of the work, if so, indicating that the processing result is a finished result; if not, the processing result is a working result.
When the received processing result is a working result, it indicates that a worker is required to perform operation to cope with the emergency, the stored target information of each worker corresponding to each event type can be checked to obtain the target information corresponding to the emergency in the embodiment, then the target information corresponding to the same worker is compared with the received working result to determine that the corresponding target result obtained from the received working result requires the adjustment information made by the worker, and the adjustment information characterizes the operation required to be performed next by the worker. And the adjusting information is generated into corresponding adjusting emergency command information and is issued to the corresponding mobile terminal, so that the staff can perform corresponding operation based on the newly received adjusting emergency command information, the efficiency of completing emergency command of the emergency is improved, and the damage caused by the emergency is reduced. The emergency command information can be sent to corresponding staff through graph theory and path algorithm according to the positioning system and the mobile terminal by taking the emergency command information as a starting point, so that the emergency can be solved in a 'cross-department, cross-region and cross-level' manner.
In addition, the emergency command end is always in the process of receiving the processing results sent by the staff. As long as the received processing result is a working result, the above step S401 is continued to be executed, and the execution of the above step S401 is stopped until the processing result received by the emergency processing terminal is a completion result.
When the received processing result is a completion result, the method indicates and completes the emergency command of the current emergency, and the triggering information, the reference emergency command plan, the emergency command information and all the adjustment emergency command information can be arranged to obtain a final emergency command plan for processing the emergency.
In addition, after the final emergency command plan of the emergency event is determined based on the processing result, the final emergency command plan is stored in a case database, so that the emergency command plans in the case database are enriched, and the accuracy and the efficiency of subsequently obtaining the emergency command are improved.
Fig. 4 is a cyclic block diagram of the tuning emergency command provided in this embodiment. As shown in fig. 4, OODA theory is employed to adjust emergency command. First, an internet of things sensor collects internet of things data, wherein the sensor comprises, but is not limited to, a face snapshot camera, a license plate snapshot camera, an alarm host, an access control system and fire-fighting equipment. The Internet of things sensor reports Internet of things data, and then the Internet of things data is uploaded to an emergency command module, namely an Internet of things event research and judgment unit, a 3D visual simulation unit and a mobile terminal, so that the Internet of things event research and judgment unit researches and judges the Internet of things data, and the data are converted into research and judgment results comprising emergency events and event types. And then transmitting the research and judgment result to the emergency command module, namely the 3D visual simulation unit, and the mobile terminal. The emergency command module of the 3D visual simulation unit infers the plan information through the case database according to the studying and judging result, carries out 3D visual simulation on the plan, finally determines the plan and generates the emergency command information, then sends the emergency command information to the Internet of things sensor, the Internet of things event studying and judging unit and the mobile terminal, and a worker of the mobile terminal carries out emergency processing according to the emergency command information and remotely acquires more Internet of things data by controlling the Internet of things sensor. The staff can feed back the processing result to the emergency command module, namely the Internet of things sensor, the Internet of things event studying and judging unit and the 3D visual simulation unit, according to the mobile terminal. Therefore, continuous cyclic adjustment and correction of the plan are realized, and the accuracy and efficiency of obtaining the final plan are accelerated.
Fig. 5 is a flow chart of emergency command based on case-based reasoning and simulation provided by the present embodiment. As shown in fig. 5, firstly, data collected by a sensor is studied to obtain internet of things data to discover an emergency, or an external event is accessed. The event type of the incident is then determined. The characteristic parameters of the emergency are extracted, and then the characteristic parameters are input into a naive Bayesian plan selection model to be matched with the plan. And then carrying out 3D visual simulation on the plan, judging whether a simulation result obtained by the 3D visual simulation matches the emergency, if not, re-determining the plan, and transmitting the plan to the mobile terminal until the re-obtained plan matches the emergency. And judging whether the processing result fed back by the mobile terminal is a completion result or not, if so, finishing the information for processing the emergency to obtain a final plan, and adding the final plan into a plan database. If not, the corresponding emergency command information is adjusted according to the feedback result so as to complete the emergency command of the emergency event, obtain the corresponding final plan, and the final plan is added into the plan database.
The embodiment also provides an emergency command system based on the case reasoning and the simulation, which comprises an emergency event management module, a plan management module and an emergency command module. The emergency event management module is used for acquiring trigger information only comprising the data of the Internet of things or the event information and determining the event type corresponding to the trigger information; and acquiring characteristic parameters corresponding to the trigger information. A plan management module for placing a case database; and determining a preliminary emergency command plan corresponding to the event type from a case database based on the characteristic parameters, wherein a plurality of emergency command plans are stored in the case database. The emergency command module is used for carrying out visual simulation on the preliminary emergency command plan to obtain a corresponding simulation result, determining a reference emergency command plan corresponding to the event type based on the simulation result, generating emergency command information corresponding to the reference emergency command plan, and sending the emergency command information to the corresponding mobile terminal. The plan management module is also used for receiving the processing result of the emergency corresponding to the event type based on the emergency command information and determining the final emergency command plan for processing the emergency based on the processing result. The plan management module is also used for storing the final emergency command plan in the case database.
The emergency event management module, the plan management module, and the emergency command module perform other functions and technical details of the functions are the same as or similar to corresponding features in the case-based reasoning and simulation emergency command method described above, and therefore will not be described in detail herein.
Embodiments of the present application provide a computer readable storage medium having a computer program stored thereon, which when run on a computer, enables the computer to perform the relevant content of the case-based reasoning and simulation-based emergency command method embodiments described above.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for a person skilled in the art, several improvements and modifications can be made without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. The emergency command method based on case reasoning and simulation is characterized by comprising the following steps:
acquiring trigger information only comprising Internet of things data or event information, and determining an event type corresponding to the trigger information;
acquiring characteristic parameters corresponding to the trigger information, and determining a preliminary emergency command plan corresponding to the event type from a case database based on the characteristic parameters, wherein a plurality of emergency command plans are stored in the case database;
performing visual simulation on the preliminary emergency command plan to obtain a corresponding simulation result, determining a reference emergency command plan corresponding to the event type based on the simulation result, generating emergency command information corresponding to the reference emergency command plan, and sending the emergency command information to a corresponding mobile terminal;
and receiving a processing result of the emergency corresponding to the event type based on the emergency command information, and determining a final emergency command plan for processing the emergency based on the processing result.
2. The method of claim 1, wherein determining a preliminary emergency command plan from a case database that corresponds to the event type based on the characteristic parameters comprises:
Using the characteristic parameters as input parameters of a plan selection model, and determining a plan score corresponding to each emergency command plan in the case database by using the plan selection model;
and determining the emergency command plan corresponding to the highest plan score in all the plan scores as a preliminary emergency command plan corresponding to the event type.
3. The method of claim 1, wherein the simulation results include a matching result that characterizes the preliminary emergency command plan matching the event type and a non-matching result that characterizes the preliminary emergency command plan not matching the event type, and wherein determining a reference emergency command plan corresponding to the event type based on the simulation results includes:
judging whether the simulation result is a matching result, if so, determining the preliminary emergency command plan as a reference emergency command plan corresponding to the event type;
otherwise, generating a case changing instruction every time a non-matching result is generated, and re-determining a preliminary emergency command plan for one event type based on the case changing instruction so as to obtain a preliminary emergency command plan matched with the event type.
4. The method of claim 3, wherein the processing results include a completion result that characterizes the resolved incident and a work result that characterizes the unresolved incident, and wherein determining a final emergency command plan to process the incident based on the processing results includes:
judging whether the processing result is a working result or not every time a processing result is obtained, if so, acquiring target information corresponding to the emergency, generating corresponding adjusting information based on the target information and the working result, generating adjusting emergency command information corresponding to the adjusting information, and sending the adjusting emergency command information to a corresponding mobile terminal to continuously receive the corresponding processing result;
and if not, the triggering information, the reference emergency command plan, the emergency command information and all the adjustment emergency command information are arranged to obtain a final emergency command plan for processing the emergency.
5. The method of claim 1, wherein determining the event type to which the trigger information corresponds comprises:
judging whether the trigger information only comprises event information or not, if yes, acquiring attribute characteristics of event attributes in the event information, and determining event types corresponding to the trigger information based on the attribute characteristics;
Otherwise, performing research and judgment preprocessing on the internet of things data to obtain abnormal internet of things data with abnormality in the internet of things data and a reference internet of things data set with direct relation with the abnormal internet of things data, and obtaining the event type corresponding to the trigger information by searching an intersection of the event type corresponding to the abnormal internet of things data and the event type corresponding to the abnormal parameter internet of things data set with abnormality in the reference internet of things data set.
6. The method of claim 1, wherein determining the final emergency command plan for the incident based on the processing results further comprises: the final emergency command plan is stored in the case database.
7. The method of claim 5, wherein obtaining the feature parameters corresponding to the trigger information comprises:
if the trigger information is event information, acquiring parameters corresponding to each attribute in the event information to obtain characteristic parameters corresponding to the trigger information;
and if the triggering information is the internet of things data, acquiring supplementary parameters provided by staff, and analyzing the abnormal internet of things data and the change trend of the internet of things data in the corresponding abnormal internet of things data set to obtain characteristic parameters corresponding to the triggering information.
8. An emergency command system based on case-based reasoning and simulation, characterized in that the system comprises: the system comprises an emergency event management module, a plan management module and an emergency command module; wherein,
the emergency event management module is used for acquiring trigger information only comprising the data of the Internet of things or event information and determining the event type corresponding to the trigger information; acquiring characteristic parameters corresponding to the trigger information;
the plan management module is used for placing a case database; determining a preliminary emergency command plan corresponding to the event type from a case database based on the characteristic parameters, wherein a plurality of emergency command plans are stored in the case database;
the emergency command module is used for carrying out visual simulation on the preliminary emergency command plan to obtain a corresponding simulation result, determining a reference emergency command plan corresponding to the event type based on the simulation result, generating emergency command information corresponding to the reference emergency command plan, and sending the emergency command information to the corresponding mobile terminal;
the plan management module is further configured to receive a processing result of the emergency corresponding to the event type based on the emergency command information, and determine a final emergency command plan for processing the emergency based on the processing result.
9. The system of claim 8, wherein the plan management module is further configured to store the final emergency command plan in the case database.
10. A computer readable storage medium, on which a computer program is stored which can be run on a processor, characterized in that the computer program, when being executed by the processor, implements the case-based reasoning and simulation-based emergency command method as claimed in any one of claims 1 to 7.
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