CN113221259A - Helicopter task simulation flow construction method for offshore oil spill disposal - Google Patents

Helicopter task simulation flow construction method for offshore oil spill disposal Download PDF

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CN113221259A
CN113221259A CN202110769820.7A CN202110769820A CN113221259A CN 113221259 A CN113221259 A CN 113221259A CN 202110769820 A CN202110769820 A CN 202110769820A CN 113221259 A CN113221259 A CN 113221259A
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刘虎
李昕
田永亮
陈子坤
禹逸雄
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Beihang University
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Abstract

The invention belongs to the field of aviation/helicopter operation support, and relates to a helicopter task simulation flow construction method for offshore oil spill disposal, which comprises the following steps: determining oil spill accident information; constructing a discrete event system model of an oil spill disposal process; describing a discrete event system model by using multiple agents, and constructing the discrete event system model of the multiple agents; constructing a mathematical model of a disposal scheme to represent the task allocation condition of the emergency force and the time sequence attribute of dispatching the emergency force to a task area to execute task behaviors; constructing an evaluation index system of the disposal scheme based on a mathematical model of the disposal scheme, and then determining the weight coefficient of each index in the evaluation index system by adopting an analytic hierarchy process; and performing helicopter task deduction simulation facing to offshore oil spill, and calculating various index values. The method is beneficial to improving the normalization of the helicopter oil spill disposal and provides a foundation for the simulation and evaluation of the helicopter oil spill disposal; meanwhile, the time cost for making a disposal scheme can be saved, and the decision efficiency is improved.

Description

Helicopter task simulation flow construction method for offshore oil spill disposal
Technical Field
The invention belongs to the field of aviation/helicopter operation support, and particularly relates to a helicopter task simulation flow construction method for offshore oil spill disposal.
Background
The oil spill risk in China is severe, and the marine oil spill accident can cause huge environmental resource loss, wherein the damage of the large oil spill accident is the greatest and most important. After an emergency accident occurs, the formulation of a disposal scheme depends on the experience of a formulator, and experts are required to attend, discuss and analyze data to form a final scheme, and then the final scheme is dispatched to all departments.
In the whole view, although the offshore oil spill emergency system is initially established in China, the handling experience of extra large emergency events is lacked, the emergency capacity of the middle and far seas is insufficient, and the command system needs to be further improved, for example, the 'sangji' wheel accident is a fire accident caused by collision of 'condensate' carried by a first oil tanker in the international shipping history, the emergency handling can be carried out without precedent, and the handling scheme is difficult to make quickly. Therefore, the improvement of the command system, especially the efficient establishment of the disposal scheme is the key of offshore oil spill disposal.
With the great improvement of the reliability of computer simulation, a reasonable task handling process model is constructed and deduced by applying a virtual simulation technology, and the method has important significance for scientifically and efficiently formulating an offshore oil spill handling scheme. Currently, the related simulation research is mainly directed to drilling, and the working capacity of oil spill handlers is improved through virtual drilling. The OSIMS system can process various large-scale environmental data, and can carry out risk analysis and make an emergency plan. There is also oil spill emergency drilling system based on virtual reality technology in China, but the existing relevant research is mostly the problem of operator training, data acquisition or emergency resource management, and the research for making simulation for oil spill disposal scheme is less. Although the proficiency of the working capacity of the personnel is really important, the processing scheme making stage which requires a large amount of manpower and time investment has larger improvement space in the real oil spill response process, and the construction of the oil spill processing flow facing decision support also has non-negligible significance.
Disclosure of Invention
Aiming at the problems, the invention provides a helicopter task simulation flow construction method for offshore oil spill disposal, and aims to provide decision support for offshore oil spill disposal.
In order to achieve the purpose, the invention provides a helicopter task simulation flow construction method for offshore oil spill disposal, which comprises the following steps:
s1: determining oil spill accident information comprising an occurrence place, an occurrence time, an oil product type, an oil product ID and an oil spill scale;
s2: constructing an event model, an activity model and a process model of an oil spill disposal process, and then constructing a discrete event system model of the oil spill disposal process according to a process interaction rule;
s3: constructing a multi-agent discrete event system model by using the multi-agent description constructed discrete event system model, wherein the multi-agent discrete event system model comprises a simulation environment agent, a behavior agent and a data agent; the simulation environment agent is a simulation operation environment of the behavior agent and the data agent; the behavior agent is used for storing the oil spill accident information, the emergency monitoring force information and the oil spill removal force determined in the step S1, the behavior agent is a main object of a behavior generated after the simulation of the simulation platform starts, and has a state variable and a plurality of behavior modes, and the behavior agent interacts with the simulation environment agent or other associated behavior agents to trigger or be triggered to generate behavior data of the simulation platform; the data agent is used for storing disposal scheme contents, oil spill emergency equipment library parameters and air route data of the aircraft from the oil spill emergency equipment library or an airport;
s4: constructing a mathematical model of a disposal scheme to represent the task allocation condition of the emergency force and the time sequence attribute of dispatching the emergency force to a task area to execute task behaviors;
s5: constructing an evaluation index system of the disposal scheme based on the constructed mathematical model of the disposal scheme, and then determining the weight coefficient of each index in the evaluation index system by adopting an analytic hierarchy process;
s6: and performing helicopter task deduction simulation facing to offshore oil spill, and calculating various index values.
Further, in step S3, the simulation environment agent includes a scenario editing simulation environment, a disposal plan making simulation environment, and a disposal plan deduction simulation environment;
the scenario editing simulation environment is used as scenario input or editing of the simulation platform; the user edits the oil spill accident information through the planned editing simulation environment and adds the oil spill accident information into a simulation program, and the process corresponds to the occurrence of the oil spill accident and the accident information receiving process;
the disposal scheme establishes a simulation environment for establishing an oil spill disposal scheme; a user formulates a simulation environment according to the oil spill accident information and an auxiliary disposal means provided by a simulation program through the disposal scheme, and generates a disposal scheme for emergency monitoring and oil spill removal, wherein the process corresponds to a disposal scheme formulation process, an emergency monitoring task allocation process and an oil spill removal task allocation process;
the disposal scheme deduction simulation environment is used for simulation deduction and evaluation of a disposal scheme, and comprises the whole process of executing oil spill disposal by each emergency force after the disposal scheme is formulated, and safety evaluation and effectiveness evaluation are carried out on the disposal scheme.
Further, in step S3, the emergency monitoring force information includes information of an oil spilling emergency equipment base where the emergency monitoring force is located, and a type, a model, and performance parameters of the stress monitoring force; the oil spill removing force information comprises oil spill emergency equipment base information of oil spill removing force, and the type, model and performance parameter of the oil spill removing force.
Further, the emergency monitoring power and the oil spill removal power are helicopters or fixed wing aircraft.
Further, the step S4 specifically includes the following steps:
s41: determining a set of tasks for a treatment planMissionThe task actions contained in total arenItem task action:
Figure 49892DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 726861DEST_PATH_IMAGE002
is shown asnA task action;
s42: determining a set of emergency forces to invokeForceIn total havemAn emergency force unit:
Figure 633637DEST_PATH_IMAGE003
wherein the content of the first and second substances,
Figure 523096DEST_PATH_IMAGE004
is shown asmAn emergency force unit;
s43: will be provided withnItem task action assignmentmAn emergency force unit for determining task allocation matrixM
Figure 730086DEST_PATH_IMAGE005
Wherein the content of the first and second substances,
Figure 312377DEST_PATH_IMAGE006
when is coming into contact with
Figure 470564DEST_PATH_IMAGE007
i=1,2,…,mj=1,2,…,nWhen is shown asiAn emergency force unit executesjThe task acts when
Figure 429293DEST_PATH_IMAGE008
If so, the operation is not executed;
s44: determining each emergencyPlay matrix of force unitA i Characterizing a temporal attribute of dispatching an emergency force to a task area to perform a task action, whereiniAn emergency force unit is matched ton i Item task action:
Figure 959631DEST_PATH_IMAGE009
wherein the content of the first and second substances,
Figure 978403DEST_PATH_IMAGE010
when is coming into contact with
Figure 125350DEST_PATH_IMAGE011
When is shown asjBefore the action of the task is executed, the task needs to be completedkAn individual task action;
all emergency power unit outages are represented by set a:
Figure 887770DEST_PATH_IMAGE012
s45: processing scheme for obtaining oil spill processing task
Figure 538194DEST_PATH_IMAGE013
Figure 462288DEST_PATH_IMAGE014
The oil spill handling task includes two subtasks: emergency monitoring and oil spill removal; thus, a set of treatment schemesRPExpressed as:
Figure 830952DEST_PATH_IMAGE015
wherein the content of the first and second substances,
Figure 131484DEST_PATH_IMAGE016
respectively indicating emergency monitoring tasks and overflowsAn oil removal task;
Figure 167573DEST_PATH_IMAGE017
respectively representing emergency monitoring force and oil spill removal force;
Figure 262568DEST_PATH_IMAGE018
respectively representing an emergency monitoring subtask disposal scheme and an oil spill removal subtask disposal scheme;
wherein, the emergency monitoring subtask disposal scheme
Figure 619993DEST_PATH_IMAGE019
And oil spill clean-up subtask handling scheme
Figure 724215DEST_PATH_IMAGE020
Respectively expressed as:
Figure 349232DEST_PATH_IMAGE021
wherein the content of the first and second substances,
Figure 880707DEST_PATH_IMAGE022
Figure 958385DEST_PATH_IMAGE023
and respectively representing an emergency monitoring power output matrix and an oil spill removal power output matrix.
Further, the step S5 specifically includes:
s51: determining indexes of safety and task efficiency, and constructing an evaluation index system of a disposal scheme of the oil spill disposal task; the safety indexes comprise helicopter safety and environmental safety, and the efficiency indexes comprise emergency monitoring efficiency and oil spill removal efficiency;
s52: determining the weight coefficient of the index determined in the step S51 by adopting a network analysis method, respectively constructing an expert belief map, an index relation matrix and an index dominance matrix, and further solving the weight coefficient of the index;
s53: and calculating the index value by utilizing a standardization algorithm.
Further, the constructed evaluation index system is summarized as set C:
Figure 600718DEST_PATH_IMAGE024
wherein the content of the first and second substances,C 1indicating aircraft safety guidelines including remaining fuel indicatorsI 11And offshore distance indexI 12,;C 2Representing environmental safety criteria, including oil spill hazard level indicatorsI 21And hazard duration indexI 22C 3Indicating emergency monitoring performance criteria including monitoring of a run time indicatorI 31And monitoring the total time indexI 32C 4Indicating spill clean-up performance criteria including disposal resource consumption indicatorsI 41And a disposition task completion time indicatorI 42
The invention has the beneficial effects that:
1) the invention applies the multi-agent modeling idea and the discrete event system modeling standard, and provides a method for constructing a helicopter offshore oil spill disposal flow model, which is beneficial to improving the normalization of helicopter oil spill disposal and provides a foundation for simulation and evaluation of the helicopter oil spill disposal;
2) the method has scientific guiding significance for treating the offshore spilled oil by the helicopter, and can save the time cost for making a scheme and improve the decision-making efficiency.
Drawings
FIG. 1 is a simplified process flow diagram of oil spill to purge;
FIG. 2 is a flowchart of a helicopter task simulation process construction method for offshore oil spill handling according to an embodiment of the present invention;
FIG. 3 is a logic diagram of a discrete event system (DEVS) model architecture in a helicopter mission simulation flow for offshore oil spill handling according to an embodiment of the present invention;
FIG. 4 is a logic diagram of a Multi-Agent-based Multi-Agent discrete event system (Multi-Agent DEVS) model architecture in a helicopter mission simulation flow for offshore oil spill handling according to an embodiment of the present invention;
FIG. 5 is a block diagram of an evaluation index of an oil spill handling scenario in a helicopter mission simulation flow for offshore oil spill handling according to an embodiment of the present invention;
FIG. 6 is an accident information input interface of a helicopter mission simulation platform oriented to offshore oil spill handling according to an embodiment of the present invention;
FIG. 7 is a plan-making interface for a helicopter mission simulation platform for offshore oil spill handling according to an embodiment of the present invention;
FIG. 8 is a data loading and evaluation result output interface of a helicopter task simulation platform for offshore oil spill handling according to an embodiment of the present invention;
fig. 9 is a simulation deduction interface of a helicopter mission simulation platform for offshore oil spill treatment according to an embodiment of the present invention.
Detailed Description
The invention is further described below in conjunction with the appended drawings and specific embodiments, it being understood that the embodiments described below are intended to facilitate an understanding of the invention and are not intended to be limiting in any way.
Example 1
The offshore oil spill needs to be responded quickly and a disposal scheme is designated, the virtual simulation and evaluation can provide decision support for emergency response of the offshore oil spill accident, the process flow diagram from oil spill occurrence to oil spill removal is shown in fig. 1, and the helicopter task simulation flow for offshore oil spill disposal constructed in the embodiment is based on the process flow diagram. Specifically, as shown in fig. 2, the method for building a helicopter mission simulation flow for offshore oil spill treatment according to the present embodiment includes the following steps:
s1: and determining basic information of the oil spill accident, including longitude and latitude of the occurrence place, occurrence time, oil spill type, oil spill quality and the like.
S2: constructing a discrete event system (DEVS) model of an oil spill handling process, wherein the DEVS model comprises an event model, an activity model and a process model of the oil spill handling process; the method specifically comprises the following steps:
s21: constructing an Event model of the oil spill handling process, wherein an Event (Event) refers to the behavior at a certain moment, the DEVS model is driven by a series of events, and in the oil spill handling process, the occurrence of the Event means the change of the oil spill handling state;
s22: constructing an activity model of an oil spill handling process, wherein Activities (Activities) refer to the continuous state of a certain behavior and are between two events;
s23: constructing a Process model of the oil spill handling flow, wherein a Process (Process) is a set formed by a series of related events and activities, one Process describes the mutual logic relationship and the time sequence relationship between the events and the activities contained in the Process, and in the oil spill handling flow of the helicopter, the events and the activities are corresponding to the Process;
s24: and constructing a DEVS model of the oil spill handling process according to process interaction rules based on the constructed event model, the activity model and the process model, wherein the model is structured as a logic diagram as shown in FIG. 3.
S3: the multi-agent DEVS model is constructed by utilizing the multi-agent description constructed DEVS model, and the model architecture logical diagram is shown in figure 4 and comprises a simulation environment agent, a behavior agent and a data agent. The established DEVS model is used as the basis of multi-agent discrete event system modeling and is used for providing a basic logic architecture, so that a helicopter task simulation flow facing offshore oil spill treatment is constructed by combining a discrete event system modeling method and a multi-agent discrete event system modeling method.
The simulation environment agent is an agent directly called when the helicopter task simulation is operated. The simulation environment agent is associated with other agents (behavior agent and data agent) and is the simulation operation environment of other associated agents. The simulation environment intelligent body is used for controlling the time advancing process of simulation, and is generally provided with an input interface and an output interface, so that the interaction function (input and output, visual display, instruction operation and the like) with a user is realized. In particular, the simulation environment agent includes a scenario editing simulation environment, a disposal plan formulating simulation environment, and a disposal plan deducing simulation environment. Specifically, the method comprises the following steps:
a scenario editing simulation environment (Scenario editing Agent) for generating an oil spill accident: and as shown in fig. 6, the user edits the oil spill accident information through the planned editing simulation environment and adds the oil spill accident information to the simulation program, and the process corresponds to the occurrence of the oil spill accident and the accident information receiving process. The oil spill accident can be edited by reproducing a certain historical case or setting a specific event at a certain real time and place;
treatment plan formulation simulation environment (DecisionMaking Agent) for generating a treatment plan: as shown in fig. 7, the user formulates a handling scheme for emergency monitoring and oil spill removal according to the handling scheme and the auxiliary handling means provided by the oil spill accident information and the simulation program, wherein the handling scheme is formulated and generated for emergency monitoring and oil spill removal and corresponds to a handling scheme formulation process, an emergency monitoring task allocation process and an oil spill removal task allocation process;
treatment plan deduction Simulation environment (Simulation Agent) for flow deduction and evaluation: the simulation deduction and evaluation used as the disposal plan, as shown in fig. 8, includes the whole process of performing oil spill disposal for each emergency force after the disposal plan is formulated, and includes safety evaluation and effectiveness evaluation of the disposal plan.
After the simulation is started, the deduction is started according to the instructions, the disposal scheme and the behaviors of the intelligent bodies, and meanwhile, a series of tasks of emergency monitoring power running, emergency monitoring power searching for an oil area, oil area sampling, dispatching oil spill removal power, oil spill removal and the like are sequentially performed under the action of certain uncertain factors. After the emergency force returns, the evaluation indexes are calculated through data statistics.
The behavior agent is a main object which generates behaviors after the simulation of the simulation platform starts and is provided with state variables and a plurality of behavior modes. These behavioral agents interact with the environment, interact with other associated behavioral agents, and trigger or be triggered events that generate behavioral data for the simulation platform, e.g., the spill accident agent and the emergency monitoring force agent described below, may interact with each other. Behavior agents tend to have randomness and regularity as real behaviors occur in reality. In particular, the behavior agent comprises:
oil spill accident Agent (oilspill accident Agent): the method is used for storing all information (oil type, oil ID, oil spill scale, occurrence time and occurrence longitude and latitude) of oil spill accidents, and the information can be input in the process of planning and editing and can also be obtained by reading an Excel file with a specified format. The oil spill accident agent also includes dynamic variables, dynamically deduced by the simulation logic. The drift prediction of the oil spill accident is also obtained by calling an internal function of an intelligent agent of the oil spill accident;
emergency monitoring power Agent (saruninit _ Monitor Agent): all information of the emergency monitoring force (information of an oil spill emergency equipment bank (position, name and the like of the equipment bank), type (a helicopter, a fixed wing aircraft and the like), model (SC-72 +, Y-10 and the like), and various performance parameters (cruise speed, maximum load, oil consumption and the like)) is stored. The task behavior of the emergency monitoring power intelligent agent is mainly distributed and controlled through a state transition diagram, so that each activity is executed according to certain logic;
oil spill removal force Agent (sarrunit clear Agent): all information for storing the oil spill removal force (information of the oil spill emergency equipment base (location and name of equipment base), type (helicopter or fixed wing aircraft, etc.), type (SC-72 +, Y-10, etc.), and various performance parameters (cruise speed, maximum load, oil consumption, etc.)).
The data agent refers to: during the simulation operation process of the simulation platform, a large amount of data reading and operation exist, some important data need to be displayed and visually represented in the simulation process, and the behavior significance of the important data is relatively weak. In particular, the data agent comprises: a disposal plan Agent (responsepan Agent) containing the contents of the disposal plan specified by the decision maker; the oil spill emergency equipment base intelligent Agent (equipment base Agent) is internally provided with a marine emergency equipment base and main parameters thereof based on current domestic public data; an Airline Agent (Airline Agent) that stores Airline data for aircraft departure from equipment stores or airports.
S4: a mathematical model of a disposal scheme in a helicopter oil spill disposal process is built to represent the task allocation condition of an emergency force unit and the time sequence attribute of dispatching emergency force to a task area to execute task behaviors; the method specifically comprises the following steps:
s41: determining a set of tasksMissionThe task actions contained in total arenItem task action:
Figure 345821DEST_PATH_IMAGE025
wherein the content of the first and second substances,
Figure 48197DEST_PATH_IMAGE026
is shown asnA task action;
s42: determining a set of emergency forces to invokeForceIn total havemAn emergency force unit:
Figure 878750DEST_PATH_IMAGE027
wherein the content of the first and second substances,
Figure 59196DEST_PATH_IMAGE028
is shown asmAn emergency force unit;
s43: assigning a particular task action to an emergency force unit and determining a task assignment matrixM. For example, there arenItem task action needs to be assigned tomAn emergency force unit, then matrixMExpressed as:
Figure 658804DEST_PATH_IMAGE029
wherein the content of the first and second substances,
Figure 532082DEST_PATH_IMAGE030
when is coming into contact with
Figure 849931DEST_PATH_IMAGE031
When it means the firstiAn emergency force unitGo to the firstjThe individual tasks act and vice versa.
S44: determining a play matrix for each emergency force unitA i Characterizing a temporal attribute of dispatching an emergency force to a task area to perform a task action, whereiniAn emergency force unit is matched ton i Item task action:
Figure 67024DEST_PATH_IMAGE032
wherein the content of the first and second substances,
Figure 786718DEST_PATH_IMAGE033
when is coming into contact with
Figure 830897DEST_PATH_IMAGE034
When is shown asjBefore the action of the task is executed, the task needs to be completedkThe individual task acts. It should be noted that the play matrixA i The diagonal and the top half of the elements have values of 0.
All emergency power unit outages are represented by set a:
Figure 636042DEST_PATH_IMAGE035
s45: processing scheme for obtaining oil spill processing task
Figure 158291DEST_PATH_IMAGE036
Figure 732491DEST_PATH_IMAGE037
The oil spill handling task includes two subtasks: emergency Monitoring (Emergency Monitoring) and Oil Spill clean-up (Oil Spill Cleaning). Thus, a set of treatment schemesRPCan be expressed as:
Figure 947572DEST_PATH_IMAGE038
wherein the content of the first and second substances,
Figure 974434DEST_PATH_IMAGE039
respectively representing an emergency monitoring task and an oil spill removal task;
Figure 300373DEST_PATH_IMAGE040
respectively representing emergency monitoring force and oil spill removal force;
Figure 729080DEST_PATH_IMAGE041
and respectively representing an emergency monitoring subtask handling scheme and an oil spill removing subtask handling scheme.
Wherein the disposition scheme of the subtasks
Figure 115062DEST_PATH_IMAGE042
And
Figure 894800DEST_PATH_IMAGE043
can be respectively expressed as:
Figure 260315DEST_PATH_IMAGE044
wherein the content of the first and second substances,
Figure 543529DEST_PATH_IMAGE045
Figure 100412DEST_PATH_IMAGE046
and respectively representing an emergency monitoring power output matrix and an oil spill removal power output matrix.
S5: constructing a disposal plan for an oil spill disposal task
Figure 101866DEST_PATH_IMAGE047
The evaluation index system adopts an analytic hierarchy process (ANP) to determine the weight coefficient of the index in the evaluation index system, and determines the index value through a standardization algorithm. The method specifically comprises the following steps:
s51: constructing a disposal plan for an oil spill disposal task
Figure 35187DEST_PATH_IMAGE047
The evaluation index system of (2) is shown in fig. 5 and table 1. The evaluation index system needs to consider two indexes of safety and task efficiency, wherein the safety index comprises helicopter safety and environmental safety (mainly considering the damage degree of oil spill to the environment), and the efficiency index comprises two aspects of emergency monitoring efficiency and oil spill removal efficiency.
TABLE 1 treatment protocol for oil spill treatment tasks
Figure 907328DEST_PATH_IMAGE047
Evaluation index system of
Figure 900692DEST_PATH_IMAGE048
S52: determining the weight coefficient of each index constructed in the table 1 by adopting a network analysis method, respectively constructing an expert belief map, an index relation matrix and an index dominance matrix, and further solving the index weight.
S53: calculating an index value
The normalization algorithm of the index value is mainly classified into two cases, one is based on comparison of reference threshold values, and the other is based on comparison of the maximum values.pMatrix for item index collectionVIt is shown that,Vthe elements in (1) correspond to this in turnpItem indexes are as follows:
Figure 389442DEST_PATH_IMAGE049
the first method comprises the following steps: comparison based on reference thresholds:
let the reference threshold be
Figure 860875DEST_PATH_IMAGE050
Original value of
Figure 853102DEST_PATH_IMAGE051
And when the original value is greater than the reference threshold (i.e. the original value of the indicator is positively correlated with the evaluation result), the standard calculation method of the indicator is as follows:
Figure 17367DEST_PATH_IMAGE052
and the second method comprises the following steps: comparison based on the most value:
the method of normalizing the index value is defined by the ratio, i.e. the original value
Figure 727834DEST_PATH_IMAGE053
And maximum value
Figure 2957DEST_PATH_IMAGE054
The ratio of (A) to (B) can be expressed as:
Figure 879384DEST_PATH_IMAGE055
example 2
Step 1: assuming that a medium-scale oil spill accident occurs in the sea area at point a, the expected information of the accident is shown in table 2:
TABLE 2 Accident scenario information
Figure 683392DEST_PATH_IMAGE056
Step 2: constructing a helicopter task simulation flow discrete event model for offshore oil spill disposal;
step 2.1: extracting key events, and constructing an event table in a helicopter task simulation flow discrete event model for offshore oil spill disposal, wherein the event table is shown in a table 3;
TABLE 3 event table in discrete event model of helicopter task simulation flow
Figure 146735DEST_PATH_IMAGE057
Step 2.2: extracting key activities, and constructing an activity table in a helicopter task simulation flow discrete event model for offshore oil spill disposal, wherein the activity table is shown in a table 4;
TABLE 4 Activity List in helicopter task simulation flow discrete event model
Figure 959970DEST_PATH_IMAGE058
Step 2.3: based on the constructed event table and the activity table, constructing a process table in the helicopter task simulation flow discrete event model for offshore oil spill disposal in a certain logic sequence, as shown in table 5;
TABLE 5 Process Table in helicopter task simulation flow discrete event model
Figure 192368DEST_PATH_IMAGE059
And step 3: and constructing an intelligent model of a helicopter task simulation flow for offshore oil spill treatment. And carrying out intelligent agent modeling in an AnyLogic simulation platform, and constructing a multi-intelligent agent DEVS model which comprises a simulation environment intelligent agent, a behavior intelligent agent and a data intelligent agent.
And 4, step 4: and (3) constructing a mathematical model of a disposal scheme in the helicopter oil spill disposal process, and representing the task allocation condition of the emergency force unit and the time sequence attribute of the task behavior of dispatching the emergency force to the task area to execute the task. The treatment plan may be formulated in the simulation platform and input into the simulation platform.
Step 4.1: the center point of the task region was set to (Lat =24.1674, Lon = 118.9483), the region height 14, the region width 10, and the region angle-30 °.
Step 4.2: formulating a treatment plan
In consideration of the actual situation of oil spill emergency monitoring and oil spill removal, emergency monitoring forces are dispatched from the building door oil spill emergency depot and the airport, and the types are as follows: helicopter, model: S-76C + +; dispatching a spill clean-up force from a quanzhou spill emergency equipment depot to perform a spill clean-up task, aircraft type: helicopter, model H-410; and simultaneously, an oil spill cleaning ship and an oil spill transport ship are removed.
And 5: and constructing an evaluation index system of a treatment scheme of the oil spill treatment task, and then determining a weight coefficient of an evaluation index based on a network analysis method.
Evaluating a set of criteriaCCan be expressed as:
Figure 432856DEST_PATH_IMAGE060
wherein the content of the first and second substances,C 1indicating aircraft safety guidelines including remaining fuel indicatorsI 11And offshore distance indexI 12,;C 2Representing environmental safety criteria, including oil spill hazard level indicatorsI 21And hazard duration indexI 22C 3Indicating emergency monitoring performance criteria including monitoring of a run time indicatorI 31And monitoring the total time indexI 32C 4Indicating spill clean-up performance criteria including disposal resource consumption indicatorsI 41And a disposition task completion time indicatorI 42
Respectively determining the relation matrix and the index limit matrix of the 8 indexes, and calculating by using Super precision 3.2 software to obtain the weight coefficient of each index, wherein the weight coefficient is shown in a table 6;
TABLE 6 weight coefficient of evaluation index
Figure 383495DEST_PATH_IMAGE061
Step 6: and deducing helicopter task simulation oriented to offshore oil spill, and calculating various index values. The initial value calculation method of each index is as follows:
residual fuel safety indexI 11: this index represents the fuel mass (pounds) of the task as the emergency force returns to base after completing a task. When the task is executed, the quality of the residual fuel oil after the search and rescue force returns to the base is calculated and recorded as an indexI 11In pounds (lb).
Off-shore distance safety indexI 12: the index represents the maximum distance (kilometers) from the base in the process of emergency force performing the task. When the task is executed, the simulation program calculates every second, compares the current offshore distance with the historical maximum offshore distance, and ensures that the value of the offshore distance index is the maximum value and is recorded as the indexI 12In kilometers (km).
Index of oil spill hazard gradeI 21: the indicator represents the dangerous case grade of the oil spill accident. According to relevant regulations, the oil spill dangerous case is classified into four grades: small-sized oil spilling: the oil spilling amount is less than 10 tons; medium-sized oil spilling: oil spill amount is 10-100 tons; large-scale oil spilling: oil spill of over 100 tons and heavy oil spill.
Hazard duration indexI 22: this indicator characterizes the duration (hours) of the oil spill hazard. After the simulation is run, the simulation program can evaluate the damage duration according to the time for the oil spill to be removed and the oil spill information and record the evaluation as an indexI 22In hours (h).
Monitoring task run time indicatorsI 31: this index represents the time (minutes) taken for the monitoring force to perform the monitoring task to go. Starting to time after monitoring force starts from an emergency equipment library, recording the time spent until a task area is reached as the starting time of the monitoring task as an indexI 31In seconds (min).
Monitoring task time indicatorsI 32: this index characterizes the time (minutes) it takes to monitor the force to perform the monitoring task. The power is monitored until the power reaches the task, timing is started until the time spent on completing the monitoring task and returning to the base is recorded as the time of the monitoring task, namely an indexI 32In seconds (min).
Processing and allocating resource indexI 41: the indicator characterizes the resource score of the oil spill disposal allocation, with higher scores giving higher values.
Processing task completion time indicatorI 42: the index represents the handling force to execute the oil spill cleaning taskThe time (seconds) taken. The total time taken for the procedure from the start of the treatment task to the completion of the treatment is taken as an indexI 42In seconds(s).
It will be apparent to those skilled in the art that various modifications and improvements can be made to the embodiments of the present invention without departing from the inventive concept thereof, and these modifications and improvements are intended to be within the scope of the invention.

Claims (7)

1. A helicopter task simulation flow construction method for offshore oil spill disposal is characterized by comprising the following steps:
s1: determining oil spill accident information comprising an occurrence place, an occurrence time, an oil product type, an oil product ID and an oil spill scale;
s2: constructing an event model, an activity model and a process model of an oil spill disposal process, and then constructing a discrete event system model of the oil spill disposal process according to a process interaction rule;
s3: constructing a multi-agent discrete event system model by using the multi-agent description constructed discrete event system model, wherein the multi-agent discrete event system model comprises a simulation environment agent, a behavior agent and a data agent; the simulation environment agent is a simulation operation environment of the behavior agent and the data agent; the behavior agent is used for storing the oil spill accident information, the emergency monitoring force information and the oil spill removal force determined in the step S1, the behavior agent is a main object of a behavior generated after the simulation of the simulation platform starts, and has a state variable and a plurality of behavior modes, and the behavior agent interacts with the simulation environment agent or other associated behavior agents to trigger or be triggered to generate behavior data of the simulation platform; the data agent is used for storing disposal scheme contents, oil spill emergency equipment library parameters and air route data of the aircraft from the oil spill emergency equipment library or an airport;
s4: constructing a mathematical model of a disposal scheme to represent the task allocation condition of the emergency force and the time sequence attribute of dispatching the emergency force to a task area to execute task behaviors;
s5: constructing an evaluation index system of the disposal scheme based on the constructed mathematical model of the disposal scheme, and then determining the weight coefficient of each index in the evaluation index system by adopting an analytic hierarchy process;
s6: and performing helicopter task deduction simulation facing to offshore oil spill, and calculating various index values.
2. The method according to claim 1, wherein in step S3, the simulation environment agent includes a scenario editing simulation environment, a treatment plan making simulation environment and a treatment plan deduction simulation environment;
the scenario editing simulation environment is used as scenario input or editing of the simulation platform; the user edits the oil spill accident information through the planned editing simulation environment and adds the oil spill accident information into a simulation program, and the process corresponds to the occurrence of the oil spill accident and the accident information receiving process;
the disposal scheme establishes a simulation environment for establishing an oil spill disposal scheme; a user formulates a simulation environment according to the oil spill accident information and an auxiliary disposal means provided by a simulation program through the disposal scheme, and generates a disposal scheme for emergency monitoring and oil spill removal, wherein the process corresponds to a disposal scheme formulation process, an emergency monitoring task allocation process and an oil spill removal task allocation process;
the disposal scheme deduction simulation environment is used for simulation deduction and evaluation of a disposal scheme, and comprises the whole process of executing oil spill disposal by each emergency force after the disposal scheme is formulated, and safety evaluation and effectiveness evaluation are carried out on the disposal scheme.
3. The method according to claim 1, wherein in step S3, the emergency monitoring force information includes information of an oil spill emergency equipment base where the emergency monitoring force is located, and type, model and performance parameters of the stress monitoring force; the oil spill removing force information comprises oil spill emergency equipment base information of oil spill removing force, and the type, model and performance parameter of the oil spill removing force.
4. The method of claim 3, wherein the emergency monitoring power and the spill clearance power are helicopters or fixed wing aircraft.
5. The method according to claim 1, wherein step S4 is implemented as follows:
s41: determining a set of tasks for a treatment planMissionThe task actions contained in total arenItem task action:
Figure 331753DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 717735DEST_PATH_IMAGE002
is shown asnA task action;
s42: determining a set of emergency forces to invokeForceIn total havemAn emergency force unit:
Figure 231893DEST_PATH_IMAGE003
wherein the content of the first and second substances,
Figure 361523DEST_PATH_IMAGE004
is shown asmAn emergency force unit;
s43: will be provided withnItem task action assignmentmAn emergency force unit for determining task allocation matrixM
Figure 910316DEST_PATH_IMAGE005
Wherein the content of the first and second substances,
Figure 201620DEST_PATH_IMAGE006
when is coming into contact with
Figure 203074DEST_PATH_IMAGE007
i=1,2,…,mj=1,2,…,nWhen is shown asiAn emergency force unit executesjThe task acts when
Figure 136395DEST_PATH_IMAGE008
If so, the operation is not executed;
s44: determining a play matrix for each emergency force unitA i Characterizing a temporal attribute of dispatching an emergency force to a task area to perform a task action, whereiniAn emergency force unit is matched ton i Item task action:
Figure 274115DEST_PATH_IMAGE009
wherein the content of the first and second substances,
Figure 503365DEST_PATH_IMAGE010
when is coming into contact with
Figure 992115DEST_PATH_IMAGE011
When is shown asjBefore the action of the task is executed, the task needs to be completedkAn individual task action;
all emergency power unit outages are represented by set a:
Figure 463547DEST_PATH_IMAGE012
s45: processing scheme for obtaining oil spill processing task
Figure 455774DEST_PATH_IMAGE013
Figure 620039DEST_PATH_IMAGE014
The oil spill handling task includes two subtasks: emergency monitoring and oil spill removal; thus, a set of treatment schemesRPExpressed as:
Figure 596086DEST_PATH_IMAGE015
wherein the content of the first and second substances,
Figure 605630DEST_PATH_IMAGE016
respectively representing an emergency monitoring task and an oil spill removal task;
Figure 983522DEST_PATH_IMAGE017
respectively representing emergency monitoring force and oil spill removal force;
Figure 787530DEST_PATH_IMAGE018
respectively representing an emergency monitoring subtask disposal scheme and an oil spill removal subtask disposal scheme;
wherein, the emergency monitoring subtask disposal scheme
Figure 250872DEST_PATH_IMAGE019
And oil spill clean-up subtask handling scheme
Figure 798528DEST_PATH_IMAGE020
Respectively expressed as:
Figure 30926DEST_PATH_IMAGE021
wherein the content of the first and second substances,
Figure 536994DEST_PATH_IMAGE022
Figure 720588DEST_PATH_IMAGE023
respectively representing emergency monitoring forceA motion matrix and a spill clean-up force motion matrix.
6. The method according to claim 1, wherein the step S5 is specifically performed by:
s51: determining indexes of safety and task efficiency, and constructing an evaluation index system of a disposal scheme of the oil spill disposal task; the safety indexes comprise helicopter safety and environmental safety, and the efficiency indexes comprise emergency monitoring efficiency and oil spill removal efficiency;
s52: determining the weight coefficient of the index determined in the step S51 by adopting a network analysis method, respectively constructing an expert belief map, an index relation matrix and an index dominance matrix, and further solving the weight coefficient of the index;
s53: and calculating the index value by utilizing a standardization algorithm.
7. The method of claim 6, wherein the evaluation index system is constructed as set C:
Figure 337514DEST_PATH_IMAGE024
wherein the content of the first and second substances,C 1indicating aircraft safety guidelines including remaining fuel indicatorsI 11And offshore distance indexI 12,;C 2Representing environmental safety criteria, including oil spill hazard level indicatorsI 21And hazard duration indexI 22C 3Indicating emergency monitoring performance criteria including monitoring of a run time indicatorI 31And monitoring the total time indexI 32C 4Indicating spill clean-up performance criteria including disposal resource consumption indicatorsI 41And a disposition task completion time indicatorI 42
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