CN116957311A - Intelligent distribution method and system for emergency strategy - Google Patents
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Abstract
The invention discloses an intelligent distribution method and system of an emergency strategy, wherein the method comprises the following steps: obtaining an emergency task set and a resource set of an emergency task, wherein the emergency task set comprises: the number of emergency tasks, the number of resources required for each emergency task and the priority of each emergency task, the set of resources for an emergency task comprising: the unit cost of each resource, the priority of each resource complexity and number of resources per resource; setting a maximum efficiency model, a minimum resource utilization rate model and a maximum associated task completion efficiency model for completing the emergency task respectively, and calculating the maximum efficiency, the minimum resource utilization rate and the maximum associated task completion efficiency for completing the emergency task respectively according to the emergency task set and the resource set of the emergency task; and distributing the emergency strategy according to the maximized efficiency of completing the emergency task, the minimized resource utilization rate and the maximized associated task completion efficiency.
Description
Technical Field
The invention belongs to the technical field of intelligent distribution of emergency strategies, and particularly relates to an intelligent distribution method and system of emergency strategies.
Background
The following are some common intelligent allocation methods of emergency policies:
data analysis and prediction: big data analysis and machine learning algorithms are utilized to predict the occurrence probability, the influence range and the severity of disasters, so that an emergency resource allocation plan is made in a targeted manner.
Route optimization and scheduling: the intelligent algorithm is used for optimizing the scheduling and distribution of emergency resources, so that the resources can reach disaster areas most quickly and effectively, response time is reduced, and rescue efficiency is improved.
However, in the prior art, no technical scheme is available, and emergency strategies can be intelligently distributed for emergency tasks in a port area according to emergency tasks and emergency resources.
Disclosure of Invention
In order to solve the technical characteristics, the invention provides an intelligent allocation method of an emergency strategy, which is used for allocating the emergency strategy when the production risk is generated in a port area and comprises the following steps:
obtaining an emergency task set and a resource set of an emergency task, wherein the emergency task set comprises: the number of emergency tasks, the number of resources required for each emergency task and the priority of each emergency task, the set of resources for an emergency task comprising: the unit cost of each resource, the priority of each resource, the complexity of each resource, and the number of resources;
setting a maximum efficiency model, a minimum resource utilization rate model and a maximum associated task completion efficiency model for completing the emergency task respectively, and calculating the maximum efficiency, the minimum resource utilization rate and the maximum associated task completion efficiency for completing the emergency task respectively according to the emergency task set and the resource set of the emergency task;
and distributing the emergency strategy according to the maximized efficiency of completing the emergency task, the minimized resource utilization rate and the maximized associated task completion efficiency.
Further, the maximum efficiency model for completing the emergency task is as follows:
，
wherein ,to maximize efficiency of the emergency task, < +.>To accomplish +.>The amount of resources required for the individual emergency tasks, +.>Is->The number of resources allocated to the emergency task, +.>Is->Priority of individual emergency tasks>Is->The +.>The number of resources, N, is the number of emergency tasks.
Further, the minimized resource usage model is:
，
wherein ,to minimize resource usage, +.>Is->Unit cost of individual resources, < >>Is->Number of resources->Is->Priority of individual resources, ++>Is->Complexity of individual resources->Is->The number of resources allocated to the emergency task, +.>Is->Priority of emergency tasks, M is the number of resources.
Further, the maximum associated task completion efficiency model is:
，
wherein ,to maximize the efficiency of the completion of the associated task +.>To accomplish +.>The amount of resources required for the individual emergency tasks, +.>Is->The number of resources allocated to the emergency task, +.>Is->Priority of individual emergency tasks>Is the firstEmergency tasks and->Degree of interrelation between individual emergency tasks, +.>Is->The number of resources allocated to each emergency task, N being the number of emergency tasks.
Further, the method further comprises the following steps: constraint conditions are respectively set for the maximized efficiency model, the minimized resource utilization model and the maximized associated task completion efficiency model for completing the emergency task so as to meet the resource limitation of the emergency task and the emergency task.
The invention also provides an intelligent distribution system of the emergency strategy, which is used for distributing the emergency strategy when the production risk is generated in the port area, and comprises the following steps:
the system comprises an acquisition data module, a data processing module and a data processing module, wherein the acquisition data module is used for acquiring an emergency task set and a resource set of an emergency task, and the emergency task set comprises: the number of emergency tasks, the number of resources required for each emergency task and the priority of each emergency task, the set of resources for an emergency task comprising: the unit cost of each resource, the priority of each resource, the complexity of each resource, and the number of resources;
the computing module is used for respectively setting a maximized efficiency model, a minimized resource utilization rate model and a maximized associated task completion efficiency model for completing the emergency task, and respectively computing the maximized efficiency, the minimized resource utilization rate and the maximized associated task completion efficiency for completing the emergency task according to the emergency task set and the resource set of the emergency task;
and the allocation module is used for allocating the emergency strategy according to the maximized efficiency for completing the emergency task, the minimized resource utilization rate and the maximized associated task completion efficiency.
Further, the maximum efficiency model for completing the emergency task is as follows:
，
wherein ,to maximize efficiency of the emergency task, < +.>To accomplish +.>The amount of resources required for the individual emergency tasks, +.>Is->The number of resources allocated to the emergency task, +.>Is->Priority of individual emergency tasks>Is->The +.>The number of resources, N, is the number of emergency tasks.
Further, the minimized resource usage model is:
，
wherein ,to minimize resource usage, +.>Is->Unit cost of individual resources, < >>Is->Number of resources->Is->Priority of individual resources, ++>Is->Complexity of individual resources->Is->The number of resources allocated to the emergency task, +.>Is->Priority of emergency tasks, M is the number of resources.
Further, the maximum associated task completion efficiency model is:
，
wherein ,to maximize the efficiency of the completion of the associated task +.>To accomplish +.>The amount of resources required for the individual emergency tasks, +.>Is->The amount of resources to which the individual emergency tasks are allocated,/>is->Priority of individual emergency tasks>Is the firstEmergency tasks and->Degree of interrelation between individual emergency tasks, +.>Is->The number of resources allocated to each emergency task, N being the number of emergency tasks.
Further, the method further comprises the following steps: constraint conditions are respectively set for the maximized efficiency model, the minimized resource utilization model and the maximized associated task completion efficiency model for completing the emergency task so as to meet the resource limitation of the emergency task and the emergency task.
In general, the above technical solutions conceived by the present invention have the following beneficial effects compared with the prior art:
the invention obtains an emergency task set and a resource set of an emergency task, wherein the emergency task set comprises: the number of emergency tasks, the number of resources required for each emergency task and the priority of each emergency task, the set of resources for an emergency task comprising: the unit cost of each resource, the priority of each resource, the complexity of each resource, and the number of resources; setting a maximum efficiency model, a minimum resource utilization rate model and a maximum associated task completion efficiency model for completing the emergency task respectively, and calculating the maximum efficiency, the minimum resource utilization rate and the maximum associated task completion efficiency for completing the emergency task respectively according to the emergency task set and the resource set of the emergency task; and distributing the emergency strategy according to the maximized efficiency of completing the emergency task, the minimized resource utilization rate and the maximized associated task completion efficiency. According to the technical scheme, the port emergency resources can be scheduled to the greatest extent, the emergency tasks can be completed efficiently, and the production safety is ensured.
Drawings
FIG. 1 is a flow chart of the method of embodiment 1 of the present invention;
fig. 2 is a block diagram of a system of embodiment 2 of the present invention.
Detailed Description
In order to better understand the above technical solutions, the following detailed description will be given with reference to the accompanying drawings and specific embodiments.
The method provided by the invention can be implemented in a terminal environment, wherein the terminal can comprise one or more of the following components: processor, storage medium, and display screen. Wherein the storage medium has stored therein at least one instruction that is loaded and executed by the processor to implement the method described in the embodiments below.
The processor may include one or more processing cores. The processor connects various parts within the overall terminal using various interfaces and lines, performs various functions of the terminal and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the storage medium, and invoking data stored in the storage medium.
The storage medium may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (ROM). The storage medium may be used to store instructions, programs, code sets, or instructions.
The display screen is used for displaying a user interface of each application program.
All subscripts in the formula of the invention are only used for distinguishing parameters and have no practical meaning.
In addition, it will be appreciated by those skilled in the art that the structure of the terminal described above is not limiting and that the terminal may include more or fewer components, or may combine certain components, or a different arrangement of components. For example, the terminal further includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, a power supply, and the like, which are not described herein.
Example 1
As shown in fig. 1, an embodiment of the present invention provides an intelligent allocation method of an emergency policy, for allocating the emergency policy when a production risk is generated in a port area, including:
step 101, acquiring an emergency task set and a resource set of the emergency task, wherein the emergency task set comprises: the number of emergency tasks, the number of resources required for each emergency task and the priority of each emergency task, the set of resources for an emergency task comprising: the unit cost of each resource, the priority of each resource, the complexity of each resource, and the number of resources;
102, respectively setting a maximum efficiency model for completing the emergency task (the model aims at optimizing resource allocation so as to maximize the completion efficiency of the task and allow the task to be completed by using a plurality of different resources so as to improve the completion efficiency and the resource utilization rate of the task), a minimum resource utilization rate model (the model aims at optimizing the use of the resources so as to minimize the total use cost and the complexity of the resources) and a maximum associated task completion efficiency model (the model considers the degree of correlation among the tasks so as to coordinate the execution sequence and the resource allocation of the task and improve the overall efficiency), and respectively calculating the maximum efficiency for completing the emergency task, the minimum resource utilization rate and the maximum associated task completion efficiency according to the emergency task set and the resource set of the emergency task;
specifically, the maximum efficiency model for completing the emergency task is as follows:
，
wherein ,to maximize efficiency of the emergency task, < +.>To accomplish +.>The amount of resources required for the individual emergency tasks, +.>Is->The amount of resources to which the individual emergency tasks are allocated, and (2)>Is->Priority of individual emergency tasks>Is->The +.>The number of resources, N, is the number of emergency tasks.
Specifically, constraint conditions are set for the maximized efficiency model for completing the emergency task:
each task must be assigned:，
specifically, the minimized resource usage model is:
，
wherein ,to minimize resource usage, +.>Is->Unit cost of individual resources, < >>Is->Number of resources->Is->Priority of individual resources, ++>Is->Complexity of individual resources (in the resource allocation problem, the complexity of the resources is considered to avoid excessively depending on the complex resources, the flexibility and feasibility of resource allocation are improved, the complexity of the resources is included in the model, the execution efficiency of tasks and the complexity of the resources can be balanced in the optimization process to find an optimal resource allocation scheme), the method comprises the following steps of>Is->The number of resources allocated to the emergency task, +.>Is->Priority of emergency tasks, M is the number of resources.
The complexity of a resource refers to the complexity in terms of technology, skill, cost, time, etc. involved in using, configuring and managing the resource, different types of resources may have different levels of complexity, and the complexity of a resource may be manifested in the following aspects:
1. the technical requirements are as follows: some resources may require highly specialized technology and knowledge to configure and use, while others may be relatively simple, requiring no special technical requirements.
2. Configuration difficulty: some resources may require a long or complex process to configure and prepare, while other resources may be quickly deployed and used.
3. Cost: complex resources may require more cost for procurement, maintenance, and management.
4. Dependency: some resources may rely on other resources or specific environmental conditions to function properly, while other resources may be relatively independent from other conditions.
Specifically, constraint conditions are set for the minimized resource usage model:
the number of each resource does not exceed the available resources:
，
specifically, the maximum associated task completion efficiency model is:
，
wherein ,to maximize the efficiency of the completion of the associated task +.>To accomplish +.>The amount of resources required for the individual emergency tasks, +.>Is->The number of resources allocated to the emergency task, +.>Is->Priority of individual emergency tasks>Is the firstEmergency tasks and->Degree of interrelation between individual emergency tasks, +.>Is->The number of resources allocated to each emergency task, N being the number of emergency tasks.
Specifically, constraint conditions are set for the maximum associated task completion efficiency model:
each task must be assigned:，
mutual exclusion relationship between resources:，/>is->Whether or not to individually meet an urgent needUse of->And resources.
Duration of resource and task deadline:
，
，
is->Duration for which seed resources can be used, +.>Is->The deadlines of the individual emergency tasks.
And step 103, allocating an emergency strategy according to the maximized efficiency of completing the emergency task, the minimized resource utilization rate and the maximized associated task completion efficiency.
Example 2
As shown in fig. 2, an embodiment of the present invention further provides an intelligent allocation system for an emergency policy, for allocating the emergency policy when a production risk is generated in a port area, including:
the system comprises an acquisition data module, a data processing module and a data processing module, wherein the acquisition data module is used for acquiring an emergency task set and a resource set of an emergency task, and the emergency task set comprises: the number of emergency tasks, the number of resources required for each emergency task and the priority of each emergency task, the set of resources for an emergency task comprising: the unit cost of each resource, the priority of each resource, the complexity of each resource, and the number of resources;
a calculation module for setting a maximized efficiency model for completing an emergency task (the model aims at optimizing resource allocation so that the completion efficiency of the task is maximized and allows the task to be completed by using a plurality of different resources so as to improve the completion efficiency and the resource utilization rate of the task), a minimized resource utilization rate model (the model aims at optimizing the use of the resources so that the total use cost and complexity of the resources are minimized) and a maximized associated task completion efficiency model (the model considers the degree of correlation between the tasks so as to coordinate the execution sequence of the tasks and the resource allocation and improve the overall efficiency), and calculating the maximized efficiency, the minimized resource utilization rate and the maximized associated task completion efficiency for completing the emergency task according to the emergency task set and the resource set of the emergency task respectively;
specifically, the maximum efficiency model for completing the emergency task is as follows:
，
wherein ,to maximize efficiency of the emergency task, < +.>To accomplish +.>The amount of resources required for the individual emergency tasks, +.>Is->The number of resources allocated to the emergency task, +.>Is->Priority of individual emergency tasks>Is->The +.>The number of resources, N, is the number of emergency tasks.
Specifically, constraint conditions are set for the maximized efficiency model for completing the emergency task:
each task must be assigned:
，
specifically, the minimized resource usage model is:
，
wherein ,to minimize resource usage, +.>Is->Unit cost of individual resources, < >>Is->Number of resources->Is->Priority of individual resources, ++>Is->Complexity of individual resources (in the resource allocation problem, the complexity of the resources is considered to avoid excessively depending on the complex resources, the flexibility and feasibility of resource allocation are improved, the complexity of the resources is included in the model, the execution efficiency of tasks and the complexity of the resources can be balanced in the optimization process to find an optimal resource allocation scheme), the method comprises the following steps of>Is->The number of resources allocated to the emergency task, +.>Is->Priority of emergency tasks, M is the number of resources.
The complexity of a resource refers to the complexity in terms of technology, skill, cost, time, etc. involved in using, configuring and managing the resource, different types of resources may have different levels of complexity, and the complexity of a resource may be manifested in the following aspects:
1. the technical requirements are as follows: some resources may require highly specialized technology and knowledge to configure and use, while others may be relatively simple, requiring no special technical requirements.
2. Configuration difficulty: some resources may require a long or complex process to configure and prepare, while other resources may be quickly deployed and used.
3. Cost: complex resources may require more cost for procurement, maintenance, and management.
4. Dependency: some resources may rely on other resources or specific environmental conditions to function properly, while other resources may be relatively independent from other conditions.
Specifically, constraint conditions are set for the minimized resource usage model:
the number of each resource does not exceed the available resources:
,
specifically, the maximum associated task completion efficiency model is:
,
wherein ,to maximize the efficiency of the completion of the associated task +.>To accomplish +.>The amount of resources required for the individual emergency tasks, +.>Is->The number of resources allocated to the emergency task, +.>Is->Priority of individual emergency tasks>Is the firstEmergency tasks and->Degree of interrelation between individual emergency tasks, +.>Is->The number of resources allocated to each emergency task, N being the number of emergency tasks.
Specifically, constraint conditions are set for the maximum associated task completion efficiency model:
each task must be assigned:,
mutual exclusion relationship between resources:，/>is->Whether the individual emergency task uses +.>And resources.
Duration of resource and task deadline:
,
,
is->Duration for which seed resources can be used, +.>Is->The deadlines of the individual emergency tasks.
And the allocation module is used for allocating the emergency strategy according to the maximized efficiency for completing the emergency task, the minimized resource utilization rate and the maximized associated task completion efficiency.
Example 3
The embodiment of the invention also provides a storage medium which stores a plurality of instructions for realizing the intelligent distribution method of the emergency strategy.
Alternatively, in this embodiment, the storage medium may be located in any one of the computer terminals in the computer terminal group in the computer network, or in any one of the mobile terminals in the mobile terminal group.
Alternatively, in the present embodiment, a storage medium is provided to store program codes for performing the method of embodiment 1.
Example 4
The embodiment of the invention also provides electronic equipment, which comprises a processor and a storage medium connected with the processor, wherein the storage medium stores a plurality of instructions, and the instructions can be loaded and executed by the processor so that the processor can execute an intelligent allocation method of the emergency strategy.
Specifically, the electronic device of the present embodiment may be a computer terminal, and the computer terminal may include: one or more processors, and a storage medium.
The storage medium may be used to store a software program and a module, for example, in an intelligent allocation method of an emergency policy in the embodiment of the present invention, and the processor executes various functional applications and data processing by running the software program and the module stored in the storage medium, that is, implements the intelligent allocation method of an emergency policy. The storage medium may include a high-speed random access storage medium, and may also include a non-volatile storage medium, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage medium. In some examples, the storage medium may further include a storage medium remotely located with respect to the processor, and the remote storage medium may be connected to the terminal through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processor may call the information stored in the storage medium and the application program through the transmission system to perform the method steps of embodiment 1;
the foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the embodiments provided in the present invention, it should be understood that the disclosed technology may be implemented in other manners. The system embodiments described above are merely exemplary, and for example, the division of the units is merely a logic function division, and there may be another division manner in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or partly in the form of a software product or all or part of the technical solution, which is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random-access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or the like, which can store program codes.
It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. While still being apparent from variations or modifications that may be made by those skilled in the art are within the scope of the invention.
Claims (10)
1. An intelligent allocation method of emergency strategies, which is used for allocating the emergency strategies when production risks occur in a port area, is characterized by comprising the following steps:
obtaining an emergency task set and a resource set of an emergency task, wherein the emergency task set comprises: the number of emergency tasks, the number of resources required for each emergency task and the priority of each emergency task, the set of resources for an emergency task comprising: the unit cost of each resource, the priority of each resource, the complexity of each resource, and the number of resources;
setting a maximum efficiency model, a minimum resource utilization rate model and a maximum associated task completion efficiency model for completing the emergency task respectively, and calculating the maximum efficiency, the minimum resource utilization rate and the maximum associated task completion efficiency for completing the emergency task respectively according to the emergency task set and the resource set of the emergency task;
and distributing the emergency strategy according to the maximized efficiency of completing the emergency task, the minimized resource utilization rate and the maximized associated task completion efficiency.
2. The intelligent distribution method of emergency strategies according to claim 1, wherein the maximum efficiency model for completing the emergency tasks is:
，
wherein ,to maximize efficiency of the emergency task, < +.>To accomplish +.>The amount of resources required for the individual emergency tasks,is->The number of resources allocated to the emergency task, +.>Is->Priority of individual emergency tasks>Is->The +.>The number of resources, N, is the number of emergency tasks.
3. The intelligent allocation method of an emergency policy according to claim 1, wherein said minimized resource usage model is:
，
wherein ,to minimize resource usage, +.>Is->Unit cost of individual resources, < >>Is->Number of resources->Is->Priority of individual resources, ++>Is->Complexity of individual resources->Is->The number of resources allocated to the emergency task, +.>Is->Priority of emergency tasks, M is the number of resources.
4. The intelligent distribution method of emergency policies according to claim 1, wherein the maximizing associated task completion efficiency model is:
，
wherein ,to maximize the efficiency of the completion of the associated task +.>To accomplish +.>The amount of resources required for the individual emergency tasks,is->The number of resources allocated to the emergency task, +.>Is->Priority of individual emergency tasks>Is->Emergency tasks and->Degree of interrelation between individual emergency tasks, +.>Is->The number of resources allocated to each emergency task, N being the number of emergency tasks.
5. The intelligent distribution method of emergency policies according to claim 1, further comprising: constraint conditions are respectively set for the maximized efficiency model, the minimized resource utilization model and the maximized associated task completion efficiency model for completing the emergency task so as to meet the resource limitation of the emergency task and the emergency task.
6. An intelligent distribution system for emergency policies for distributing emergency policies for creating production risks in port areas, comprising:
the system comprises an acquisition data module, a data processing module and a data processing module, wherein the acquisition data module is used for acquiring an emergency task set and a resource set of an emergency task, and the emergency task set comprises: the number of emergency tasks, the number of resources required for each emergency task and the priority of each emergency task, the set of resources for an emergency task comprising: the unit cost of each resource, the priority of each resource, the complexity of each resource, and the number of resources;
the computing module is used for respectively setting a maximized efficiency model, a minimized resource utilization rate model and a maximized associated task completion efficiency model for completing the emergency task, and respectively computing the maximized efficiency, the minimized resource utilization rate and the maximized associated task completion efficiency for completing the emergency task according to the emergency task set and the resource set of the emergency task;
and the allocation module is used for allocating the emergency strategy according to the maximized efficiency for completing the emergency task, the minimized resource utilization rate and the maximized associated task completion efficiency.
7. The intelligent distribution system for emergency policies according to claim 6, wherein said maximized efficiency model for accomplishing emergency tasks is:
，
wherein ,to maximize efficiency of the emergency task, < +.>To accomplish +.>The amount of resources required for the individual emergency tasks,is->The number of resources allocated to the emergency task, +.>Is->Priority of individual emergency tasks>Is->The +.>The number of resources, N, is the number of emergency tasks.
8. The intelligent distribution system for emergency policies according to claim 6, wherein said minimized resource usage model is:
，
wherein ,to minimize resource usage, +.>Is->Unit cost of individual resources, < >>Is->Number of resources->Is->Priority of individual resources, ++>Is->Complexity of individual resources->Is->The number of resources allocated to the emergency task, +.>Is->Priority of emergency tasks, M is the number of resources.
9. The intelligent distribution system for emergency policies according to claim 6, wherein said maximizing associated task completion efficiency model is:
，
wherein ,to maximize the efficiency of the completion of the associated task +.>To accomplish +.>The amount of resources required for the individual emergency tasks,is->The number of resources allocated to the emergency task, +.>Is->Priority of individual emergency tasks>Is->Emergency tasks and->Degree of interrelation between individual emergency tasks, +.>Is->The number of resources allocated to each emergency task, N being the number of emergency tasks.
10. The intelligent distribution system for emergency policies according to claim 6, further comprising: constraint conditions are respectively set for the maximized efficiency model, the minimized resource utilization model and the maximized associated task completion efficiency model for completing the emergency task so as to meet the resource limitation of the emergency task and the emergency task.
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