CN109146754A - Based on the relief group's system and method for improving ant group algorithm - Google Patents
Based on the relief group's system and method for improving ant group algorithm Download PDFInfo
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Abstract
The present invention provides a kind of based on the relief group's system and method for improving ant group algorithm, the system, it include: application interface module, inductor information acquisition module, comprehensive analysis module, relief goods management module, network transmission module, the perception information of current rescue information, the acquisition of inductor information acquisition module that comprehensive analysis module obtains application interface module is analyzed and processed, and drafts rescue route between rescue point and rescue site using ant group algorithm planning ant；Relief goods management module allots relief goods, and obtains the currently used information of relief goods；Network transmission module stores current rescue information, perception information, the currently used synchronizing information for drafting rescue route and relief goods to cloud.The present invention can coordinate the distribution of materials of multiple rescue points, rescue site, and promote relief goods allots speed, reduces the waste of human resources, rescue method is performed effectively.
Description
Technical field
The present invention relates to field of artificial intelligence, and in particular, to based on the relief group's system for improving ant group algorithm
And method.
Background technique
In the large-scale natural calamity of reply, organizing public place personnel to carry out emergency evacuation rapidly is the important of reduction injures and deaths
Approach.Currently, being directed to the emergency evacuation of public place personnel, control centre is also relied primarily on to the direct tune of each participating department
Match.
But this organizational form needs to expend more manpower, when the unit for having multiple rescues participates in, each rescue is single
It cannot achieve timely information sharing between position, to cause the waste of rescue resource and manpower, influence the effective of rescue method
It executes.
Summary of the invention
For the defects in the prior art, the object of the present invention is to provide a kind of based on the relief group for improving ant group algorithm
System and method.
In a first aspect, the embodiment of the present invention provides a kind of relief group's system based on improvement ant group algorithm, comprising: application
Interface module, inductor information acquisition module, comprehensive analysis module, relief goods management module, network transmission module；Wherein:
The application interface module, for receiving the current rescue information sent by rescue personnel；
The inductor information acquisition module, for obtaining the collected perception letter of inductor institute for being laid in rescue site
Breath；
The comprehensive analysis module, for the current rescue information, the perception information to be analyzed and processed, and adopted
Rescue route is drafted between rescue point and rescue site with ant group algorithm planning ant；
The relief goods management module for alloting relief goods, and obtains the currently used of the relief goods
Information；
The network transmission module, for the current rescue information, the perception information, described draft to be rescued road
The currently used synchronizing information of line and the relief goods is stored to cloud.
Optionally, the relief goods management module is also used to: occurring damaging in relief goods or when the situation of shortage, root
According to the current service condition of relief goods at rescue point, redeploying for relief goods is carried out.
Optionally, the current rescue information includes: emergency place, current time, participates in rescue number, is estimated wait rescue
Number, the relief goods to come into operation；
The perception information include: site environment temperature, live air quality, live stream of people's situation, field rescue it is live,
Evacuate path stream of people distribution situation；
The currently used information includes: the relief goods type to come into operation, the every kind of relief goods to come into operation
Quantity, the relief goods distribution situation to come into operation, the relief goods type not come into operation, and do not come into operation every kind
The quantity of relief goods；
The relief goods include: transporting equipment, excavating equipment, Medical Devices, food, drug, drinking water.
Optionally, the comprehensive analysis module, is specifically used for:
According to the current rescue information, the perception information, determines all rescue points and need that allocates supplies to rescue
Help scene；
Set rescue point to the start node of ant in the improved ant group algorithm, the rescue that needs are allocated supplies
Scene is set as the destination node of ant, enables the goods and materials of ant carrying corresponding number from start node, when ant reaches mesh
When marking node, default ant is by the goods and materials part of corresponding number, or is all thrown to destination node；
According to start node, the location information of destination node, rescue map is drawn；And each of label on rescue map
The current goods and materials storage quantity of beginning node and the material requirements quantity of each destination node；
Using path of the ant group algorithm planning ant on rescue map, obtain drafting rescue route.
Optionally, the ant includes: water source and food ant, medical ant, excavates ant；The water source and food ant
Ant refers to: carrying the ant at water source and food；The medical treatment ant refers to: carrying Medical Devices and/or the ant of medical staff；
The excavation ant refers to: carrying excavating equipment and/or the ant of digging technology personnel.
Optionally, the path using ant group algorithm planning ant on rescue map, obtains drafting rescue route, comprising:
Assuming that k-th of ant is currently located at f-th of start node position, then ant marches to the probability of z destination node
Calculation formula it is as follows:
β=γ+θ
Wherein, k=1,2,3 ..., N, N indicate the total quantity of ant；F=1,2,3 ..., M, M indicate the total of start node
Quantity；F=1,2,3 ..., Q, Q indicate the total quantity of destination node；Indicate to number the ant for being k from node f to node z
Probability, τfz(t) pheromone concentration on the path between node f to node z, η are indicatedfz(t) it indicates between node f to node z
Visibility,Indicate every ant can with selection point, the point that kth ant is passed by will beIn be deleted, α indicate letter
The impact factor of plain concentration is ceased, usually in [0.3,0.7] section value, β indicates that the impact factor of visibility, γ indicate target section
The material requirements quantity of point z, θ indicate visibility；Wherein, whenever having an ant by the path between node f to node z,
Then the pheromones of respective path increase, and the pheromones are arranged and are gradually decreased according to the time.
Second aspect, the embodiment of the present invention provides a kind of relief group's method based on improvement ant group algorithm, using first
The tissue of rescue task is executed described in any one of aspect based on the relief group's system for improving ant group algorithm.
Compared with prior art, the present invention have it is following the utility model has the advantages that
Relief group's system and method provided by the invention based on improvement ant group algorithm, include by setting: application connects
Mouth mold block, inductor information acquisition module, comprehensive analysis module, relief goods management module, the system of network transmission module are come
Realize the tissue of rescue task, in which: application interface module receives the current rescue information sent by rescue personnel；Inductor letter
Breath acquisition module obtains the collected perception information of inductor institute for being laid in rescue site；Comprehensive analysis module is to described current
Rescue information, the perception information are analyzed and processed, and using ant group algorithm planning ant rescue point with rescue site it
Between draft rescue route；Relief goods management module allots relief goods, and obtains the currently used of the relief goods
Information；Network transmission module by the current rescue information, the perception information, described draft rescue route and described rescue
The currently used synchronizing information for helping goods and materials is stored to cloud.So as to coordinate the distribution of materials of multiple rescue points, rescue site,
So that information sharing may be implemented in each unit participated in rescue, promote relief goods allots speed, reduces human resources
Waste, performs effectively rescue method.
Detailed description of the invention
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention,
Objects and advantages will become more apparent upon:
Fig. 1 is the functional block diagram based on the relief group's system for improving ant group algorithm.
Specific embodiment
The present invention is described in detail combined with specific embodiments below.Following embodiment will be helpful to the technology of this field
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill of this field
For personnel, without departing from the inventive concept of the premise, several changes and improvements can also be made.These belong to the present invention
Protection scope.
Along with the development of artificial intelligence, intelligent algorithm is also gradually put in evacuating personnel activity.Artificial intelligence
System made of energy algorithm is assembled grasps Various types of data by sensing layer and utilizes calculation by network layer transport to intelligence computation layer
Method is calculated and is summarized, analyzed, and is interacted by front-end interface and user, is user service by external equipment, is provided protection
Tool, fresh water food etc. reach and increase disaster field personnel probability of survival, and the purpose for helping it successfully to escape.
The embodiment of the present invention provides a kind of relief group's system based on improvement ant group algorithm, exactly applies artificial intelligence
Algorithm realizes the tissue of rescue task.Fig. 1 is the functional block diagram based on the relief group's system for improving ant group algorithm, Fig. 1 institute
Show, comprising: application interface module 10, inductor information acquisition module 20, comprehensive analysis module 30, relief goods management module
40, network transmission module 50.Wherein: application interface module 10, for receiving the current rescue information sent by rescue personnel.Sense
Device information acquisition module 20 is answered, for obtaining the collected perception information of inductor institute for being laid in rescue site；Comprehensive analysis
Module 30, for being analyzed and processed to current rescue information, perception information, and using ant group algorithm planning ant in rescue point
Rescue route is drafted between rescue site.Relief goods management module 40, for alloting relief goods, and acquisition rescue
The currently used information of goods and materials.Network transmission module 50, for by current rescue information, perception information, draft rescue route, with
And the currently used synchronizing information of relief goods is stored to cloud.
In a kind of optional embodiment, relief goods management module 40 is also used to: occur damaging in relief goods or
When the situation of shortage, according to the current service condition of relief goods at rescue point, redeploying for relief goods is carried out.
In a kind of optional embodiment, comprehensive analysis module 30 is specifically used for: according to current rescue information, perception
Information determines all rescue sites rescue point and need to allocate supplies；It sets rescue point in improved ant group algorithm
The start node of ant, the destination node that the rescue site allocated supplies will be needed to be set as ant enable ant carry corresponding number
The goods and materials of amount are from start node, when ant reaches destination node, default ant for the goods and materials part of corresponding number, or
All it is thrown to destination node；According to start node, the location information of destination node, rescue map is drawn；And in rescue map
The current goods and materials storage quantity of the upper each start node of label and the material requirements quantity of each destination node；Using ant colony
Path of the algorithmic rule ant on rescue map, obtains drafting rescue route.
In a kind of optional embodiment, network transmission module 50 can be transmitted using the network based on SDN, from
And facilitate application interface module 10, inductor information acquisition module 20, comprehensive analysis module 30, in relief goods management module 40
Data be synchronized to each unit that cloud participates in rescue in real time and can inquire the number stored in cloud by cloud
According to know newest rescue situations.
By taking any ant on any one start node reaches destination node as an example, ant is planned to ant group algorithm
Path on rescue map is described in detail.
Specifically, it is assumed that k-th of ant is currently located at f-th of start node position, then ant marches to z destination node
Probability calculation formula it is as follows:
β=γ+θ
Wherein, k=1,2,3 ..., N, N indicate the total quantity of ant；F=1,2,3 ..., M, M indicate the total of start node
Quantity；F=1,2,3 ..., Q, Q indicate the total quantity of destination node；Indicate to number the ant for being k from node f to node z
Probability, τfz(t) pheromone concentration on the path between node f to node z, η are indicatedfz(t) it indicates between node f to node z
Visibility,Indicate every ant can with selection point, the point that kth ant is passed by will beIn be deleted, α indicate letter
The impact factor of plain concentration is ceased, usually in [0.3,0.7] section value, β indicates that the impact factor of visibility, γ indicate target section
The material requirements quantity of point z, θ indicate visibility；Wherein, whenever having an ant by the path between node f to node z,
Then the pheromones of respective path increase, and the pheromones are arranged and are gradually decreased according to the time.Further, t indicates current
Moment, then at subsequent time (t+1), the rule information rescued on map meets following formula:
Pheromones increase rule:
τfz(t+1)=Pfzτfz(t)+Δτfz(t, t+n)
Wherein: Δ τfz(t, t+1) is indicated in the time between t to t+1, increased pheromones between node f and node z
Amount,Expression is the pheromones that ant k is discharged at the t+1 moment, PfzResidual rate after indicating the volatilization of pheromones,
ΔτfzDuring (t, t+n) indicates that time increases to t+n from t, increased pheromone amount between f to z, when n indicates increased
Between.
In the present embodiment, current rescue information includes: emergency place, current time, participates in rescue number, is estimated wait rescue
Number, the relief goods to come into operation；Perception information include: site environment temperature, live air quality, live stream of people's situation,
Field rescue is live, evacuates path stream of people distribution situation.Currently used information includes: the relief goods type to come into operation, throws
The quantity for entering the every kind of relief goods used, the relief goods distribution situation to come into operation, the relief goods class not come into operation
Type, and the quantity of every kind of relief goods not come into operation.Relief goods include: that transporting equipment, excavating equipment, medical treatment are set
Standby, food, drug, drinking water.Ant includes: water source and food ant, medical ant, excavates ant；Water source and food ant
Refer to: carrying the ant at water source and food；Medical ant refers to: carrying Medical Devices and/or the ant of medical staff；Excavate ant
Ant refers to: carrying excavating equipment and/or the ant of digging technology personnel.
In addition, the embodiment of the present invention provides a kind of relief group's method based on improvement ant group algorithm, using above-mentioned base
The tissue of rescue task is executed in the relief group's system for improving ant group algorithm.
Specific embodiments of the present invention are described above.It is to be appreciated that the invention is not limited to above-mentioned
Particular implementation, those skilled in the art can make a variety of changes or modify within the scope of the claims, this not shadow
Ring substantive content of the invention.In the absence of conflict, the feature in embodiments herein and embodiment can any phase
Mutually combination.
Claims (7)
1. a kind of based on the relief group's system for improving ant group algorithm characterized by comprising application interface module, inductor
Information acquisition module, comprehensive analysis module, relief goods management module, network transmission module；Wherein:
The application interface module, for receiving the current rescue information sent by rescue personnel；
The inductor information acquisition module, for obtaining the collected perception information of inductor institute for being laid in rescue site；
The comprehensive analysis module for being analyzed and processed to the current rescue information, the perception information, and uses ant
Group algorithmic rule ant drafts rescue route between rescue point and rescue site；
The relief goods management module, for alloting relief goods, and the currently used information of the acquisition relief goods；
The network transmission module, for by the current rescue information, the perception information, it is described draft rescue route, with
And the currently used synchronizing information of the relief goods is stored to cloud.
2. according to claim 1 based on the relief group's system for improving ant group algorithm, which is characterized in that the rescue object
Money management module is also used to: occurs damaging in relief goods or when the situation of shortage, currently according to rescue point place relief goods
Service condition carries out redeploying for relief goods.
3. according to claim 1 based on the relief group's system for improving ant group algorithm, which is characterized in that described currently to rescue
Helping information includes: emergency place, current time, participates in rescue number, it is expected that number to be rescued, the relief goods to come into operation；
The perception information includes: site environment temperature, live air quality, live stream of people's situation, field rescue is live, evacuates
Path stream of people's distribution situation；
The currently used information include: the relief goods type to come into operation, the quantity of the every kind of relief goods to come into operation,
The relief goods distribution situation to come into operation, the relief goods type not come into operation, and the every kind of rescue that do not come into operation
The quantity of goods and materials；
The relief goods include: transporting equipment, excavating equipment, Medical Devices, food, drug, drinking water.
4. according to any one of claim 1-3 based on the relief group's system for improving ant group algorithm, which is characterized in that
The comprehensive analysis module, is specifically used for:
According to the current rescue information, the perception information, determine that all rescue points and the rescue for needing to allocate supplies are existing
?；
Set rescue point to the start node of ant in the improved ant group algorithm, the rescue site that needs are allocated supplies
It is set as the destination node of ant, enables the goods and materials of ant carrying corresponding number from start node, when ant reaches target section
When point, default ant is by the goods and materials part of corresponding number, or is all thrown to destination node；
According to start node, the location information of destination node, rescue map is drawn；And each starting is marked to save on rescue map
The current goods and materials storage quantity of point and the material requirements quantity of each destination node；
Using path of the ant group algorithm planning ant on rescue map, obtain drafting rescue route.
5. according to claim 4 based on the relief group's system for improving ant group algorithm, which is characterized in that the ant packet
Include: water source and food ant, excavate ant at medical ant；The water source and food ant refer to: carrying the ant at water source and food
Ant；The medical treatment ant refers to: carrying Medical Devices and/or the ant of medical staff；The excavation ant refers to: carrying and excavates
The ant of equipment and/or digging technology personnel.
6. according to claim 4 based on the relief group's system for improving ant group algorithm, which is characterized in that calculated using ant colony
Regulation draws path of the ant on rescue map, obtains drafting rescue route, comprising:
Assuming that k-th of ant is currently located at f-th of start node position, then ant marches to the meter of the probability of z destination node
It is as follows to calculate formula:
β=γ+θ
Wherein, k=1,2,3 ..., N, N indicate the total quantity of ant；F=1,2,3 ..., M, M indicate the total quantity of start node；
F=1,2,3 ..., Q, Q indicate the total quantity of destination node；Indicate to number the ant for being k from node f to the general of node z
Rate, τfz(t) pheromone concentration on the path between node f to node z, η are indicatedfz(t) indicate node f to node z between can
Degree of opinion,Indicate every ant can with selection point, the point that kth ant is passed by will beIn be deleted, α indicate pheromones
The impact factor of concentration, usually in [0.3,0.7] section value, β indicates that the impact factor of visibility, γ indicate destination node z
Material requirements quantity, θ indicate visibility；Wherein, whenever having an ant by the path between node f to node z, then right
It answers the pheromones in path to increase, and the pheromones is set and are gradually decreased according to the time.
7. a kind of based on the relief group's method for improving ant group algorithm, which is characterized in that using any one of claim 1-6 institute
That states executes the tissue of rescue task based on the relief group's system for improving ant group algorithm.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111026008A (en) * | 2019-12-16 | 2020-04-17 | 上海宏力达信息技术股份有限公司 | Intelligent switch first-aid repair method and system based on ant colony algorithm |
| CN111428851A (en) * | 2020-03-30 | 2020-07-17 | 南方科技大学 | Rescue plan determination method, rescue plan determination device, server and storage medium |
| CN111444300A (en) * | 2020-04-07 | 2020-07-24 | 南方科技大学 | Layout method, device, server and storage medium for emergency rescue station |
| CN113053055A (en) * | 2021-03-08 | 2021-06-29 | 东北大学 | Integrated control system and method based on emergency evacuation decision optimization and intelligent induction |
| CN115619064A (en) * | 2022-12-16 | 2023-01-17 | 南方科技大学 | Rescue plan making method, device, equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090070281A1 (en) * | 2007-06-01 | 2009-03-12 | Solomon Research Llc | System for hybridized efficient genetic algorithms to solve bi-objective optimization problems with application to network computing |
| CN103337162A (en) * | 2013-07-16 | 2013-10-02 | 四川大学 | Real-time planning and dynamic scheduling system for urban emergency rescue channel |
| CN104299075A (en) * | 2014-09-30 | 2015-01-21 | 浙江大学 | Method for constructing safety emergency workflow model based on voices |
| CN104317293A (en) * | 2014-09-19 | 2015-01-28 | 南京邮电大学 | City rescue intelligent agent dynamic path planning method based on improved ant colony algorithm |
| CN105787596A (en) * | 2016-02-29 | 2016-07-20 | 泰华智慧产业集团股份有限公司 | Emergency logistic route optimizing method based on improved ant colony algorithm |
| CN106779212A (en) * | 2016-12-13 | 2017-05-31 | 南京邮电大学 | A kind of city tour's route planning method based on improvement ant group algorithm |
-
2018
- 2018-09-11 CN CN201811059093.XA patent/CN109146754B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090070281A1 (en) * | 2007-06-01 | 2009-03-12 | Solomon Research Llc | System for hybridized efficient genetic algorithms to solve bi-objective optimization problems with application to network computing |
| CN103337162A (en) * | 2013-07-16 | 2013-10-02 | 四川大学 | Real-time planning and dynamic scheduling system for urban emergency rescue channel |
| CN104317293A (en) * | 2014-09-19 | 2015-01-28 | 南京邮电大学 | City rescue intelligent agent dynamic path planning method based on improved ant colony algorithm |
| CN104299075A (en) * | 2014-09-30 | 2015-01-21 | 浙江大学 | Method for constructing safety emergency workflow model based on voices |
| CN105787596A (en) * | 2016-02-29 | 2016-07-20 | 泰华智慧产业集团股份有限公司 | Emergency logistic route optimizing method based on improved ant colony algorithm |
| CN106779212A (en) * | 2016-12-13 | 2017-05-31 | 南京邮电大学 | A kind of city tour's route planning method based on improvement ant group algorithm |
Non-Patent Citations (4)
| Title |
|---|
| ALBERTO COLORNI ET AL.: "Distributed Optimization by Ant Colonies", 《PROCEEDINGS OF THE 1ST EUROPEAN CONFERENCE ON ARTIFICIAL LIFE》 * |
| XIANG JI ET AL.: "An Improvement of Ant Colony", 《2017 INTERNATIONAL CONFERENCE ON NETWORKING AND NETWORK APPLICATIONS》 * |
| 刘霁: "基于蚁群算法的高速列车火灾隧道区间停车人员疏散研究", 《中国优秀硕士学位论文全文数据库 工程科技II辑》 * |
| 王卫国: "城市地震灾害应急救援资源配置规划研究", 《中国博士学位论文全文数据库 基础科学辑》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111026008A (en) * | 2019-12-16 | 2020-04-17 | 上海宏力达信息技术股份有限公司 | Intelligent switch first-aid repair method and system based on ant colony algorithm |
| CN111026008B (en) * | 2019-12-16 | 2021-12-24 | 上海宏力达信息技术股份有限公司 | Intelligent switch first-aid repair method and system based on ant colony algorithm |
| CN111428851A (en) * | 2020-03-30 | 2020-07-17 | 南方科技大学 | Rescue plan determination method, rescue plan determination device, server and storage medium |
| CN111428851B (en) * | 2020-03-30 | 2022-10-28 | 南方科技大学 | Rescue plan determination method, rescue plan determination device, server and storage medium |
| CN111444300A (en) * | 2020-04-07 | 2020-07-24 | 南方科技大学 | Layout method, device, server and storage medium for emergency rescue station |
| CN111444300B (en) * | 2020-04-07 | 2022-09-02 | 南方科技大学 | Layout method, device, server and storage medium for emergency rescue station |
| CN113053055A (en) * | 2021-03-08 | 2021-06-29 | 东北大学 | Integrated control system and method based on emergency evacuation decision optimization and intelligent induction |
| CN115619064A (en) * | 2022-12-16 | 2023-01-17 | 南方科技大学 | Rescue plan making method, device, equipment and storage medium |
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