CN110175754A - A kind of emergency resources allocation and transportation mission planning method and system based on HTN planning - Google Patents

A kind of emergency resources allocation and transportation mission planning method and system based on HTN planning Download PDF

Info

Publication number
CN110175754A
CN110175754A CN201910366874.1A CN201910366874A CN110175754A CN 110175754 A CN110175754 A CN 110175754A CN 201910366874 A CN201910366874 A CN 201910366874A CN 110175754 A CN110175754 A CN 110175754A
Authority
CN
China
Prior art keywords
task
transport
emergency
team
resources
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910366874.1A
Other languages
Chinese (zh)
Other versions
CN110175754B (en
Inventor
祁超
王瑞
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huazhong University of Science and Technology
Original Assignee
Huazhong University of Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huazhong University of Science and Technology filed Critical Huazhong University of Science and Technology
Priority to CN201910366874.1A priority Critical patent/CN110175754B/en
Publication of CN110175754A publication Critical patent/CN110175754A/en
Application granted granted Critical
Publication of CN110175754B publication Critical patent/CN110175754B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Marketing (AREA)
  • Educational Administration (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a kind of emergency resources based on HTN planning to allocate and transport mission planning method and system, belong to the crossing domain of intelligent planning, public safety and Emergency decision, it include: that task is allocated and transported for emergency resources to be planned, original state set and initiating task collection of network are acquired, domain knowledge is set;Using 5 selection method of calculation of natural resources method, emergency resources distribution method and transport team in domain knowledge, emergency resources allocation and transportation Task-decomposing to be planned is generated into subtask in conjunction with original state set and initiating task collection of network;Then subtask is decomposed using the atomic task generation method in domain knowledge and generates atomic task, completed atomic task using the operator instantiation in domain knowledge, obtain emergency resources allocation and transportation mission planning scheme.The present invention can be well adapted for huge construction program Complex Programming Problem, effectively describe its domain knowledge when expressing resource Transport, show the hierarchy feature of emergency response task well.

Description

A kind of emergency resources allocation and transportation mission planning method and system based on HTN planning
Technical field
The invention belongs to the crossing domains of intelligent planning, public safety and Emergency decision, are based on more particularly, to one kind The emergency resources of HTN planning allocate and transport mission planning method and system.
Background technique
Emergency resources allocate and transport the key link as emergency response, are the emphasis of Post disaster relief work, related victims of the disaster's life Property safety and social stability, therefore be of great immediate significance to its research.It is different from traditional commerce logistics, emergency money Source Transport has the following characteristics that
(1) task has diversity and hierarchy.After the earthquake, emergency resources allocation and transportation are divided into rescue personnel's allocation and transportation, doctor Treatment personnel allocation and transportation and living material allocation and transportation etc., task are various rather than single;For the decomposition of a certain specific tasks, example Such as the emergency resources guarantee of demand point, it is necessary first to clear emergency resources type, followed by the demand of resource, followed by resource Distribution and haulage vehicle dispense, and there is hierarchy between these decompositing for tasks.
(2) the constraint relationship is complicated.After the earthquake, emergency resources numerous types, limited amount in the short time need to consider The priority of task carries out emergency resources distribution, meanwhile, there is also complicated the constraint relationships between task.
(3) policy setting has highly dynamic property.After the earthquake, with the propulsion of time, the differentiation of the condition of a disaster becomes Change, emergency situation is caused to change always, so constantly change Version Dispatching is needed, to adapt to new emergency situation.
The features described above of emergency resources Transport determines the difficulty for formulating emergency resources Version Dispatching.In practical problem In, after the earthquake, the experience that the formulation of emergency resources Version Dispatching depends on decision-maker previous mostly can not be made completely Make rationally satisfied Version Dispatching;In research level, domestic and foreign scholars are directed to a certain local problem mostly, are based on mathematical modulo Type optimizes.Wherein, founding mathematical models solution can not be well adapted for huge construction program Complex Programming Problem, for example Shake emergency resources Transport;Secondly, cannot effectively describe its domain knowledge when expressing resource Transport, limit Emergency plan maker utilizes field Heuristics solving practical problems, meanwhile, mathematical model cannot show to meet an urgent need well The hierarchy feature of response task.
To sum up, founding mathematical models have certain limitation in the solution of emergency resources Transport.
Summary of the invention
Aiming at the above defects or improvement requirements of the prior art, the present invention provides one kind to be based on HTN (Hierarchical Task Network, level Task Network) planning emergency resources allocate and transport mission planning method and system, thus solve existing skill Art has the technical issues of certain limitation in the solution of emergency resources Transport.
To achieve the above object, according to one aspect of the present invention, a kind of emergency resources tune based on HTN planning is provided Mission planning method is transported, is included the following steps:
Task is allocated and transported for emergency resources to be planned, acquires original state set and initiating task collection of network, setting Domain knowledge;
Using 5 selection method of calculation of natural resources method, emergency resources distribution method and transport team in domain knowledge, in conjunction with Emergency resources to be planned are allocated and transported Task-decomposing and generate subtask by original state set and initiating task collection of network;
Then subtask is decomposed using the atomic task generation method in domain knowledge and generates atomic task, utilize field Atomic task is completed in operator instantiation in knowledge, obtains emergency resources allocation and transportation mission planning scheme.
Further, original state collection is combined into s0={ SU0, TRANS0, SPEC0, Dis }, wherein SU0What is indicated is emergency Material stock original state set, TRANS0That indicate is 5 original state set of transport team, SPEC0What is indicated is professional contingent Original state set, the professional contingent include rescue team, medical team and expert team, and what Dis was indicated is emergency resources Allocate and transport road network.
Further, initiating task collection of network is T0={ t1, t2, t3... }, ti=(demand_location, Intensity, population), tiThe resource guarantee and rescue task that expression demand point is demand_location, i=1, 2,3..., demand_location indicate that Position Number of the demand point in emergency resources road network, intensity indicate demand The earthquake intensity of point, population indicate the population of demand point.
Further, domain knowledge D={ O, M }, wherein O is operator set, and M is method set, operator set O =!Movet,!Movep,!Transport }, operator!Movet instantiation is expressed as 5 transfer action of transport team, operator! Transport instantiation is expressed as emergency materials transport movement, operator!Movep instantiation indicates professional contingent's transfer action; Method set M={ ResDemand, ResAllocation, TruckSelect, AtomGenerate }, wherein ResDemand Indicate calculation of natural resources method, ResAllocation indicates emergency resources distribution method, and TruckSelect indicates that transport team 5 selects Selection method, AtomGenerate indicate atomic task generation method.
Further, calculation of natural resources method ResDemand={ m1, m2, m3, m4, m5, m6, calculation of natural resources method includes such as Lower step:
Upper layer emergency resources type needed for being judged according to earthquake intensity size in emergency resources allocation and transportation task to be planned, on Layer emergency resources type includes living material, rescue resource, medical resource and Expert Resources;
If the earthquake intensity of demand point is more than or equal to 6, access method m1, emergency resources to be planned are allocated and transported into Task-decomposing Generate living material task, rescue resource tasks, medical resource task and Expert Resources support mission;
If the earthquake intensity of demand point is less than 6, access method m2, emergency resources allocation and transportation Task-decomposing to be planned is generated Expert Resources support mission;
For living material task, required upper layer emergency resources type is living material, access method m3, calculate lower layer and answer The quantity required of food, tent and drinking water in anxious resource;
For rescuing resource tasks, required upper layer emergency resources type is rescue resource, access method m4, calculate lower layer and answer Rescue team's demand in anxious resource;
For medical resource task, required upper layer emergency resources type is medical resource, access method m5, calculate lower layer and answer Medical team demand in anxious resource;
For Expert Resources task, required upper layer emergency resources type is Expert Resources, access method m6, strong using earthquake Degree calculates expert team's demand in lower layer's emergency resources.
Further, emergency resources distribution method ResAllocation={ m7, m8, m9, m10, the emergency resources distribution Method the following steps are included:
If lower layer's emergency resources type is professional contingent, access method m7, obtain professional contingent's distribution task;If When lower layer's emergency resources type is living material, access method m8, obtain emergency materials distribution task;
If emergency materials is selected to distribute task, access method m9, the nearest Emergency Goods Supply of selection distance requirement point Point, if the demand of the emergency materials storage level meet demand point in supply centre, generates transport task transfer, into transport team 5 selection methods;If the emergency materials storage level in the supply centre cannot fully meet demand, transport task transfer is generated, Into 5 selection method of transport team, while the emergency materials storage level in the supply centre is updated, updates the emergency materials of current task Demand reenters method m9, select next supply centre nearest from demand point, iterative solution, until answering for demand point Anxious resources requirement is all met;
If professional contingent is selected to distribute task, access method m10, after obtaining the nearest professional contingent of distance requirement point, if The branch professional contingent is able to satisfy the demand of demand point, then professional contingent transfer task movep is generated, into atomic task generation side Method;If the branch professional contingent cannot fully meet demand, professional contingent transfer task movep is generated, while updating and choosing specially The state of industry troop updates professional contingent's demand of current task, reenters method m10, select next fragmented demand point most Close professional contingent, iterative solution, until professional contingent's demand of demand point is all met.
Further, 5 selection method TruckSelect={ m of transport team11, m12, 5 selection method of transport team include with Lower step:
Read transport task transfer, access method m11If total gross traffic is equal to 0, transport task is completed, and terminates fortune Defeated troop's selected section;
If total gross traffic is greater than 0,5 state of transport team is read, 5 position of transport team is obtained, it will be where transport team 5 The location matches of position and supply centre, the transport team 5 for obtaining supply centre position gathers, if the set of transport team 5 is not sky, from confession It should put in the set of transport team 5 of position and select a transport team 5, emergency materials transport task transport be generated, into original Subtask generation method;
If the collection of transport team 5 is combined into sky, access method m12, the transport team 5 nearest from supply centre is selected, transport is sequentially generated Troop shifts task movet and emergency materials transport task transport, into atomic task generation method.
Further, atomic task generation method AtomGenerate={ m13, m14, m15, m16, m17, m18, atomic task Generation method, comprising the following steps:
If atomic task is that professional contingent shifts task movep, pass through method set { m17, m18Generate operator! Movep, by operator!Movep is instantiated as professional contingent's transfer action;
If atomic task is emergency materials transport task transport, pass through method set { m13, m14Generate operator! Transport, by operator!Transport is instantiated as emergency materials transport movement;
If atomic task is that transport team 5 shifts task movet, pass through method set { m15, m16Generate operator! Movet, by operator!Movet is instantiated as 5 transfer action of transport team.
It is another aspect of this invention to provide that a kind of emergency resources allocation and transportation task grouping based on HTN planning is provided, Include:
Preprocessing module, for allocating and transporting task for emergency resources to be planned, acquisition original state set is appointed with initial Business collection of network, is arranged domain knowledge;
Task-decomposing module, for utilizing calculation of natural resources method, emergency resources distribution method and the transport in domain knowledge Emergency resources to be planned are allocated and transported Task-decomposing in conjunction with original state set and initiating task collection of network by troop's selection method Generate subtask;
Mission planning module generates atom for decomposing subtask using the atomic task generation method in domain knowledge Task completes atomic task using the operator instantiation in domain knowledge, obtains emergency resources allocation and transportation mission planning scheme.
In general, through the invention it is contemplated above technical scheme is compared with the prior art, can obtain down and show Beneficial effect:
(1) the present invention is based on the emergency resources allocation and transportation mission planning methods of HTN planning can be well adapted for huge construction program complexity Planning problem for example can solve the emergency resources allocation and transportation mission planning problem under seismoilogical background;Secondly, in expression resource allocation and transportation When problem, its domain knowledge can effectively be described, so that emergency plan maker utilizes field Heuristics solving practical problems, Meanwhile showing the hierarchy feature of emergency response task well by Task-decomposing.To sum up, the method for the present invention is being answered There is very strong applicability in the solution of anxious resource Transport.
(2) present invention considers the task diversity and hierarchy, the constraint relationship complexity, decision of emergency resources Transport Environment has many characteristics, such as highly dynamic property and difficult point, is based on HTN planing method, obtains scientific and reasonable earthquake emergency resource allocation and transportation Scheme.Specific definition of the present invention allocates and transports domain knowledge towards the emergency resources of HTN planning, further enriches emergency resources tune The theoretical knowledge of fortune problem;Secondly decision support is provided for the resource allocation and transportation in emergency event response process of emergency system, had certain Realistic meaning.
Detailed description of the invention
Fig. 1 is a kind of stream of emergency resources allocation and transportation mission planning method based on HTN planning provided in an embodiment of the present invention Cheng Tu;
Fig. 2 is the flow chart of calculation of natural resources method provided in an embodiment of the present invention;
Fig. 3 is the flow chart of emergency resources distribution method provided in an embodiment of the present invention;
Fig. 4 is the flow chart of 5 selection method of transport team provided in an embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and It is not used in the restriction present invention.As long as in addition, technical characteristic involved in the various embodiments of the present invention described below Not constituting a conflict with each other can be combined with each other.
As shown in Figure 1, a kind of emergency resources based on HTN planning allocate and transport mission planning method, include the following steps:
Task is allocated and transported for emergency resources to be planned, acquires original state set and initiating task collection of network, setting Domain knowledge;
Using 5 selection method of calculation of natural resources method, emergency resources distribution method and transport team in domain knowledge, in conjunction with Emergency resources to be planned are allocated and transported Task-decomposing and generate subtask by original state set and initiating task collection of network;
Then subtask is decomposed using the atomic task generation method in domain knowledge and generates atomic task, utilize field Atomic task is completed in operator instantiation in knowledge, obtains emergency resources allocation and transportation mission planning scheme.
Original state collection is combined into s0={ SU0, TRANS0, SPEC0, Dis }, wherein SU0What is indicated is that emergency materials deposit is first Beginning state set, SU0={ su1, su2, su3..., SuiSome supply when (i=1,2,3...) is original state, in road network The emergency materials reserve status of point.Sui={ res1, res2, res3..., resiAt the beginning of certain class emergency materials for supply centre deposit Beginning state;resi={ supply_location, resource_name, supply_num, RT }, supply_location table Show number of the supply centre locating for emergency materials in road network, resource_name indicates emergency materials type, supply_num Indicate emergency materials storage level, RT indicates emergency materials time shaft.TRANS0What is indicated is 5 original state set of transport team, TRANS0={ trans1, trans2, trans3..., transiWhat is indicated is single 5 original state of transport team;transi= { truck_ID, truck_location, truck_capacity, CT }, truck_ID indicate that transport team 5 numbers, truck_ Location indicates that Position Number of 5 current time of the transport team position in road network, truck_capactity indicate fortune The transport power of defeated troop, CT are 5 time shaft of transport team.
SPEC0Indicate be professional contingent's original state set, wherein professional contingent include rescue team, medical team and Expert team, SPEC0={ spec1, spec2, spec3..., speciIndicate the original state of Dan Zhi professional contingent;speci= { spec_ID, spec_location, spec_type, spec_hum, ST }, wherein spec_ID indicates professional contingent's number, Spec_location indicates number of professional contingent's present position in road network, and spec_type indicates the class of professional contingent Type.That Dis is indicated is emergency resources allocation and transportation road network, Dis={ seg1, seg2, seg3..., segiOne section is described in road network The relevant information of road.segi={ from_node, to_node, distance, access }, from_node, to_node are Two nodes of one section of road, distance are the distance between two nodes.Access indicates the accessibility of road, access When value is 0, indicate that road interrupts;When value is 1, the coast is clear is indicated.
The initiating task collection of network is T0={ t1, t2, t3... }, ti=(demand_location, Intensity, population), tiIndicate that demand point is the resource guarantee and rescue task of demand_location.Wherein, Demand_location indicates that Position Number of the demand point in emergency resources road network, intensity indicate the disaster-stricken of demand point Degree, is earthquake intensity in earthquake, and population indicates the population of demand point.
Domain knowledge D, specially a binary group D={ O, M }, wherein O is operator set, and M is method set.Neck One operator of domain knowledge illustrates the effect of the precondition that atomic task executes and generation, can be expressed as a ternary Group o=(head (o), pre (o), update (o)).Wherein, head (o) is the head of operator, contains names of operators and one Group parameter, pre (o) indicate to execute the precondition that should meet before operator o, the effect after update (o) expression execution operator o Fruit, including negative effects and plus effect.The instantiation of operator is the movement that can specifically execute;A method in domain knowledge It illustrates how to resolve into a composite task into subtask set, wherein gather by composite task or atomic task subtask Composition.Method m can be expressed as triple m=(head (m), pre (m), subtasks (m)).Wherein, the expression side head (m) The head of method m contains method name and one group of parameter, keeps with the task names and parameter that this method can be used to be decomposed Unanimously, pre (m) indicates that application method m decomposes the precondition that should meet before composite task, and subtasks (m) is indicated by method m Decompose the subtask set generated.
Wherein, operator set O=!Movet,!Movep,!transport}.Operator!Movet instantiation is expressed as 5 transfer action of transport team, operator!Transport instantiation is expressed as emergency materials transport movement, operator!Movep table Show professional contingent's transfer action;
Method set M={ ResDemand, ResAllocation, TruckSelect, AtomGenerate }. ResDemand indicates calculation of natural resources method, ResDemand={ m1, m2, m3, m4, m5, m6};ResAllocation indicates emergency Resource allocation methods, ResAllocation={ m7, m8, m9, m10};TruckSelect indicates 5 selection method of transport team, TruckSelect={ m11, m12};AtomGenerate indicates atomic task generation method, AtomGenerate={ m13, m14, m15, m16, m17, m18}。
As shown in Fig. 2, calculation of natural resources method, comprising the following steps:
Upper layer needed for being judged according to earthquake intensity size in emergency resources allocation and transportation task (i.e. task demand) to be planned Emergency resources type.Upper layer emergency resources type mainly includes living material, rescue resource, medical resource and Expert Resources.
Selected emergency resources support mission resource-demand, carries out the estimated demand of specific lower layer's emergency resources:
If the earthquake intensity of demand point is more than or equal to 6, access method m1, emergency resources to be planned are allocated and transported into Task-decomposing Generate living material task, rescue resource tasks, medical resource task and Expert Resources support mission;
If the earthquake intensity of demand point is less than 6, access method m2, emergency resources allocation and transportation Task-decomposing to be planned is generated Expert Resources support mission;
For living material task, required upper layer emergency resources type is living material, access method m3, only consider earthquake I.e. 3 days gold rescue time 72 hours demands, calculate the quantity required of food, tent and drinking water in lower layer's emergency resources, Specifically:
People=population*damageratio
Amout_food=people*unit1*3
Amout_water=people*unit2*3
Amout_tent=people*unit3*3
Wherein people is number of transferring and resettling, and population is disaster area total number of people, and damageratio is that house is tight Weight damage rate, has corresponding relationship with earthquake intensity;Amout_food is food needs amount, and unit1 is everyone one day food Demand, amout_water are drinking water needs amount, and unit2 is everyone one day drinking water needs amount, and amout_tent is Tent demand, unit3 are everyone one day tent demand.
For rescuing resource tasks, required upper layer emergency resources type is rescue resource, access method m4, calculate lower layer and answer Rescue team's demand in anxious resource, specifically:
Amout_rescuer=persons/rescuer_num
Persons=population*collapseratio
Wherein persons is earthquake buried person number, and population is demand point total number of people, and collapseratio is House is badly damaged rate, has corresponding relationship with earthquake intensity, rescuer_num is the number of a rescue team;amout_ Rescuer is rescue team's demand.
For medical resource task, required upper layer emergency resources type is medical resource, access method m5, calculate lower layer and answer Medical team demand amout_doctor in anxious resource, specifically:
Amout_doctor=persons/doctor_num
Persons=population*collapseratio
Wherein persons is earthquake buried person number, and population is demand point total number of people, and collapseratio is House is badly damaged rate, has corresponding relationship with earthquake intensity, doctor_num is the number of a medical team.
For Expert Resources task, required upper layer emergency resources type is Expert Resources, access method m6, calculate lower layer and answer Expert team's demand in anxious resource, has corresponding relationship with earthquake intensity.
As shown in figure 3, emergency resources distribution method, comprising the following steps:
Lower layer's emergency resources type needed for judgement task select, specifically:
If lower layer's emergency resources type is these professional contingents of rescue team, medical team and expert team, enter Method m7, obtain professional contingent distribution task spec-select;
If lower layer's emergency resources type is food, drinking water, these living materials of tent, access method m8, obtain Emergency materials distribute task supply-select;
If emergency materials is selected to distribute task, access method m9.Most using nearest available principle selection distance requirement point Close Emergency Goods Supply point, if the demand of the emergency materials storage level meet demand point in supply centre, generates transport task Transfer, into 5 selection method of transport team;
If the emergency materials storage level in the supply centre cannot fully meet demand, transport task transfer is generated, into Enter 5 selection method of transport team, while updating the emergency materials storage level in the supply centre, the emergency materials for updating current task need The amount of asking reenters method m9, select next supply centre nearest from demand point, iterative solution, until the emergency of demand point Resources requirement is all met;
If professional contingent is selected to distribute task, access method m10, after obtaining the nearest professional contingent of distance requirement point, if The branch professional contingent is able to satisfy the demand of demand point, then professional contingent transfer task movep is generated, into atomic task generation side Method;
If the branch professional contingent cannot fully meet demand, professional contingent transfer task movep is generated, while updating choosing The state of middle professional contingent updates professional contingent's demand of current task, reenters method m10, select next fragmented demand The nearest professional contingent of point, iterative solution, until professional contingent's demand of demand point is all met.
As shown in figure 4,5 selection method of transport team, comprising the following steps:
Read current transportation task transfer, access method m11.If total gross traffic is equal to 0, transport task is completed, knot 5 selected section of beam transport team.
If total gross traffic is greater than 0, current transportation troop state is read, 5 present position of transport team is obtained, with supply The location matches of point obtain currently gathering in the transport team 5 of supply centre position.If set is not sky, illustrate that supply centre currently has Transport team 5.It selects a transport team 5, generates emergency materials transport task transport, into atomic task generation method, System mode is updated simultaneously, reenters method m11, iterative solution, until completing the transport of total gross traffic;
If collection is combined into sky, illustrates that the transport team 5 in supply centre is current occupied, be carrying out transport task, access method m12, select the transport team 5 nearest from supply centre.After selecting a nearest transport team 5 of distance, 5 turns of transport team is sequentially generated Shifting task movet and emergency materials transport task transport, into atomic task generation method;
After completing the transfer of transport team 5 and emergency resources transport, system mode is updated, method m is reentered12, iteration asks Solution completes all freight volume transports.After freight volume judgement is equal to 0, terminate 5 selected section of transport team.
Atomic task generation method, comprising the following steps:
If atomic task is that professional contingent shifts task movep, pass through method set { m17, m18Generate operator! Movep, by operator!Movep is instantiated as professional contingent's transfer action;
If atomic task is emergency materials transport task transport, pass through method set { m13, m14Generate operator! Transport, by operator!Transport is instantiated as emergency materials transport movement;
If atomic task is that transport team 5 shifts task movet, pass through method set { m15, m16Generate operator! Movet, by operator!Movet is instantiated as 5 transfer action of transport team.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to The limitation present invention, any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should all include Within protection scope of the present invention.

Claims (9)

1. a kind of emergency resources based on HTN planning allocate and transport mission planning method, which comprises the steps of:
Task is allocated and transported for emergency resources to be planned, acquires original state set and initiating task collection of network, field is set Knowledge;
Using 5 selection method of calculation of natural resources method, emergency resources distribution method and transport team in domain knowledge, in conjunction with initial Emergency resources to be planned are allocated and transported Task-decomposing and generate subtask by state set and initiating task collection of network;
Then subtask is decomposed using the atomic task generation method in domain knowledge and generates atomic task, utilize domain knowledge In operator instantiation complete atomic task, obtain emergency resources allocation and transportation mission planning scheme.
2. a kind of emergency resources based on HTN planning as described in claim 1 allocate and transport mission planning method, which is characterized in that The original state collection is combined into s0={ SU0, TRANS0, SPEC0, Dis }, wherein SU0What is indicated is emergency materials deposit initial shape State set, TRANS0That indicate is 5 original state set of transport team, SPEC0What is indicated is professional contingent's original state set, institute Stating professional contingent includes rescue team, medical team and expert team, and what Dis was indicated is emergency resources allocation and transportation road network.
3. a kind of emergency resources based on HTN planning as claimed in claim 1 or 2 allocate and transport mission planning method, feature exists In the initiating task collection of network is T0={ t1, t2, t3... }, ti=(demand_location, intensity, Population), tiThe resource guarantee and rescue task that expression demand point is demand_location, i=1,2,3..., Demand_location indicates that Position Number of the demand point in emergency resources road network, intensity indicate the earthquake of demand point Earthquake intensity, population indicate the population of demand point.
4. a kind of emergency resources based on HTN planning as claimed in claim 1 or 2 allocate and transport mission planning method, feature exists In the domain knowledge D={ 0, M }, wherein O be operator set, M be method set, operator set O=!Movet,! Movep,!Transport }, operator!Movet instantiation is expressed as 5 transfer action of transport team, operator!Transport is real Exampleization is expressed as emergency materials transport movement, operator!Movep instantiation indicates professional contingent's transfer action;Method set M= { ResDemand, ResAllocation, TruckSelect, AtomGenerate }, wherein ResDemand indicates calculation of natural resources Method, ResAllocation indicate emergency resources distribution method, and TruckSelect indicates 5 selection method of transport team, AtomGenerate indicates atomic task generation method.
5. a kind of emergency resources based on HTN planning as claimed in claim 1 or 2 allocate and transport mission planning method, feature exists In the calculation of natural resources method ResDemand={ m1, m2, m3, m4, m5, m6, calculation of natural resources method includes the following steps:
Upper layer emergency resources type needed for being judged according to earthquake intensity size in emergency resources allocation and transportation task to be planned, upper layer is answered Anxious resource type includes living material, rescue resource, medical resource and Expert Resources;
If the earthquake intensity of demand point is more than or equal to 6, access method m1, emergency resources allocation and transportation Task-decomposing to be planned is generated Living material task, rescue resource tasks, medical resource task and Expert Resources support mission;
If the earthquake intensity of demand point is less than 6, access method m2, emergency resources allocation and transportation Task-decomposing to be planned is generated into expert Resource guarantee task;
For living material task, required upper layer emergency resources type is living material, access method m3, calculate lower layer's emergency money The quantity required of food, tent and drinking water in source;
For rescuing resource tasks, required upper layer emergency resources type is rescue resource, access method m4, calculate lower layer's emergency money Yuan Zhong rescue team demand;
For medical resource task, required upper layer emergency resources type is medical resource, access method m5, calculate lower layer's emergency money Medical team demand in source;
For Expert Resources task, required upper layer emergency resources type is Expert Resources, access method m6, utilize earthquake intensity meter Calculate expert team's demand in lower layer's emergency resources.
6. a kind of emergency resources based on HTN planning as claimed in claim 5 allocate and transport mission planning method, which is characterized in that The emergency resources distribution method ResAllocation={ m7, m8, m9, m10, the emergency resources distribution method includes following Step:
If lower layer's emergency resources type is professional contingent, access method m7, obtain professional contingent's distribution task;If lower layer When emergency resources type is living material, access method m8, obtain emergency materials distribution task;
If emergency materials is selected to distribute task, access method m9, the Emergency Goods Supply point for selecting distance requirement point nearest, if The demand of the emergency materials storage level meet demand point in supply centre, then generate transport task transfer, selects into transport team 5 Selection method;If the emergency materials storage level in the supply centre cannot fully meet demand, transport task transfer is generated, is entered 5 selection method of transport team, while the emergency materials storage level in the supply centre is updated, update the emergency materials demand of current task Amount, reenters method m9, select next supply centre nearest from demand point, iterative solution, until the emergency of demand point provides Source demand is all met;
If professional contingent is selected to distribute task, access method m10, after obtaining the nearest professional contingent of distance requirement point, if the branch Professional contingent is able to satisfy the demand of demand point, then professional contingent transfer task movep is generated, into atomic task generation method; If the branch professional contingent cannot fully meet demand, professional contingent transfer task movep is generated, while updating and choosing professional contingent 5 state updates professional contingent's demand of current task, reenters method m10, select next fragmented demand point nearest Professional contingent, iterative solution, until professional contingent's demand of demand point is all met.
7. a kind of emergency resources based on HTN planning as claimed in claim 6 allocate and transport mission planning method, which is characterized in that The 5 selection method TruckSelect={ m of transport team11, m12, 5 selection method of transport team the following steps are included:
Read transport task transfer, access method m11If total gross traffic is equal to 0, transport task is completed, and terminates transport team 5 selected sections;
If total gross traffic is greater than 0,5 state of transport team is read, 5 position of transport team is obtained, by 5 position of transport team With the location matches in supply centre, the transport team 5 for obtaining supply centre position gathers, if the set of transport team 5 is not sky, from supply centre A transport team 5 is selected in the set of transport team 5 of position, emergency materials transport task transport is generated, appoints into atom Business generation method;
If the collection of transport team 5 is combined into sky, access method m12, the transport team 5 nearest from supply centre is selected, transport team 5 is sequentially generated Transfer task movet and emergency materials transport task transport, into atomic task generation method.
8. a kind of emergency resources based on HTN planning as claimed in claim 7 allocate and transport mission planning method, which is characterized in that The atomic task generation method AtomGenerate={ m13, m14, m15, m16, m17, m18, atomic task generation method, including Following steps:
If atomic task is that professional contingent shifts task movep, pass through method set { m17, m18Generate operator!Movep, will Operator!Movep is instantiated as professional contingent's transfer action;
If atomic task is emergency materials transport task transport, pass through method set { m13, m14Generate operator! Transport, by operator!Transport is instantiated as emergency materials transport movement;
If atomic task is that transport team 5 shifts task movet, pass through method set { m15, m16Generate operator!Movet, will Operator!Movet is instantiated as 5 transfer action of transport team.
9. a kind of emergency resources based on HTN planning allocate and transport task grouping characterized by comprising
Preprocessing module acquires original state set and initiating task net for allocating and transporting task for emergency resources to be planned Domain knowledge is arranged in network set;
Task-decomposing module, for utilizing calculation of natural resources method, emergency resources distribution method and the transport team 5 in domain knowledge Selection method generates emergency resources allocation and transportation Task-decomposing to be planned in conjunction with original state set and initiating task collection of network Subtask;
Mission planning module generates atom times for decomposing subtask using the atomic task generation method in domain knowledge Business completes atomic task using the operator instantiation in domain knowledge, obtains emergency resources allocation and transportation mission planning scheme.
CN201910366874.1A 2019-04-30 2019-04-30 Emergency resource allocation and transportation task planning method and system based on HTN planning Active CN110175754B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910366874.1A CN110175754B (en) 2019-04-30 2019-04-30 Emergency resource allocation and transportation task planning method and system based on HTN planning

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910366874.1A CN110175754B (en) 2019-04-30 2019-04-30 Emergency resource allocation and transportation task planning method and system based on HTN planning

Publications (2)

Publication Number Publication Date
CN110175754A true CN110175754A (en) 2019-08-27
CN110175754B CN110175754B (en) 2021-08-31

Family

ID=67690557

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910366874.1A Active CN110175754B (en) 2019-04-30 2019-04-30 Emergency resource allocation and transportation task planning method and system based on HTN planning

Country Status (1)

Country Link
CN (1) CN110175754B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113705970A (en) * 2021-07-28 2021-11-26 北京联合大学 HTN planning method for emergency logistics resource task matching

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070011281A1 (en) * 2005-06-09 2007-01-11 International Business Machines Corporation Methods, apparatus and computer programs for automated problem solving in a distributed, collaborative environment
CN102044022A (en) * 2010-12-24 2011-05-04 中国科学院合肥物质科学研究院 Emergency rescue decision making system aiming at natural disasters and method thereof
US20150039364A1 (en) * 2013-07-31 2015-02-05 International Business Machines Corporation Optimizing emergency resources in case of disaster
CN107220749A (en) * 2017-05-11 2017-09-29 长威信息科技发展股份有限公司 A kind of method and system of emergency resources fast dispatch
CN107346470A (en) * 2017-06-19 2017-11-14 长安大学 A kind of Intelligent planning method towards traffic-information service
CN108335024A (en) * 2018-01-23 2018-07-27 华中科技大学 A kind of carrier-borne aircraft continuously sets out mission planning method and mission planning describes method
CN109063949A (en) * 2018-06-12 2018-12-21 中国科学技术大学 A kind of chemical industrial park concentrated area emergency materials concocting method based on super-network

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070011281A1 (en) * 2005-06-09 2007-01-11 International Business Machines Corporation Methods, apparatus and computer programs for automated problem solving in a distributed, collaborative environment
CN102044022A (en) * 2010-12-24 2011-05-04 中国科学院合肥物质科学研究院 Emergency rescue decision making system aiming at natural disasters and method thereof
US20150039364A1 (en) * 2013-07-31 2015-02-05 International Business Machines Corporation Optimizing emergency resources in case of disaster
CN107220749A (en) * 2017-05-11 2017-09-29 长威信息科技发展股份有限公司 A kind of method and system of emergency resources fast dispatch
CN107346470A (en) * 2017-06-19 2017-11-14 长安大学 A kind of Intelligent planning method towards traffic-information service
CN108335024A (en) * 2018-01-23 2018-07-27 华中科技大学 A kind of carrier-borne aircraft continuously sets out mission planning method and mission planning describes method
CN109063949A (en) * 2018-06-12 2018-12-21 中国科学技术大学 A kind of chemical industrial park concentrated area emergency materials concocting method based on super-network

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
MINGLEI LI等: "Handling multi-objective in an HTN planner for emergency decision-making", 《IEEE CONFERENCE ANTHOLOGY》 *
朱钰林: "基于HTN的应急物资调运任务规划系统关键技术研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *
李明磊: "考虑方案质量的HTN应急任务规划方法", 《中国博士学位论文全文数据库 信息科技辑》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113705970A (en) * 2021-07-28 2021-11-26 北京联合大学 HTN planning method for emergency logistics resource task matching

Also Published As

Publication number Publication date
CN110175754B (en) 2021-08-31

Similar Documents

Publication Publication Date Title
Barbarosoğlu et al. An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations
Goodarzian et al. A new bi-objective green medicine supply chain network design under fuzzy environment: Hybrid metaheuristic algorithms
Ghasemi et al. A cooperative game theory approach for location-routing-inventory decisions in humanitarian relief chain incorporating stochastic planning
CN101515309B (en) City emergency evacuation simulation system based on multi intelligent body
Krejci Hybrid simulation modeling for humanitarian relief chain coordination
CN105701273B (en) A kind of modularization logistics system simulation computational methods based on main body
Kang et al. Development of a genetic algorithm for the school bus routing problem
Khmeleva et al. Fuzzy-logic controlled genetic algorithm for the rail-freight crew-scheduling problem
CN108229741A (en) A kind of pre- site selecting method of facility point based on air-ground coordination medical aid
Li et al. Design of multimodal hub-and-spoke transportation network for emergency relief under COVID-19 pandemic: A meta-heuristic approach
Qi et al. Hierarchical task network planning with resources and temporal constraints
Prencipe et al. A novel mathematical formulation for solving the dynamic and discrete berth allocation problem by using the Bee Colony Optimisation algorithm
Krutein et al. The isolated community evacuation problem with mixed integer programming
CN109274645A (en) A kind of hierarchical layered access implementation method of smart city space-time cloud platform
Gholami-Zanjani et al. OR models for emergency medical service (EMS) management
CN110175754A (en) A kind of emergency resources allocation and transportation mission planning method and system based on HTN planning
Sheremetov et al. Intelligent multi-agent support for the contingency management system
Luo et al. Optimization models and solving approaches in relief distribution concerning victims’ satisfaction: A review
Shen et al. A dynamic task assignment model for aviation emergency rescue based on multi-agent reinforcement learning
Crabtree Talking work: language-games, organisations and computer supported cooperative work
Chislov et al. Intellectualization of logistic interaction of economic entities of transport and logistics chains
Montana et al. A multiagent society for military transportation scheduling
Churiakova et al. Digital Master Plan as a Tool for Generating Territory Development Requirements
Chircop et al. On routing and scheduling a fleet of resource-constrained vessels to provide ongoing continuous patrol coverage
Wang A Business Management Resource‐Scheduling Method based on Deep Learning Algorithm

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant