CN107909256A - One kind rescue calculation resource disposition method and system - Google Patents

One kind rescue calculation resource disposition method and system Download PDF

Info

Publication number
CN107909256A
CN107909256A CN201711080797.0A CN201711080797A CN107909256A CN 107909256 A CN107909256 A CN 107909256A CN 201711080797 A CN201711080797 A CN 201711080797A CN 107909256 A CN107909256 A CN 107909256A
Authority
CN
China
Prior art keywords
rescue
point
latent defect
distance
default
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.)
Pending
Application number
CN201711080797.0A
Other languages
Chinese (zh)
Inventor
许红龙
黄文俊
罗云
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.)
Guangdong Aobo Chengdu Westone Information Industry Inc
Original Assignee
Guangdong Aobo Chengdu Westone Information Industry Inc
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 Guangdong Aobo Chengdu Westone Information Industry Inc filed Critical Guangdong Aobo Chengdu Westone Information Industry Inc
Priority to CN201711080797.0A priority Critical patent/CN107909256A/en
Publication of CN107909256A publication Critical patent/CN107909256A/en
Pending legal-status Critical Current

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
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

Landscapes

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

Abstract

The embodiment of the invention discloses one kind to rescue calculation resource disposition method, and this method includes:The rescue requirements of latent defect point in deployment region are obtained, the rescue requirements are determined according to the hidden danger order of severity of the latent defect point;The positional information of the deployment region is obtained, the positional information includes the latent defect point and rescue point;It is rescue distance with the distance of the corresponding latent defect point that the rescue point closely located with the latent defect point, which is chosen, as default rescue point, the default rescue point;According to the rescue distance and the rescue requirements, the rescue demand assignment value for rescuing point is determined;According to the rescue demand assignment value, deployment rescue resource.The embodiment of the invention also discloses a kind of corresponding system.A kind of rescue calculation resource disposition method disclosed by the embodiments of the present invention, for reasonably disposing rescue resource, beneficial to raising disaster relief efficiency and quality.

Description

One kind rescue calculation resource disposition method and system
Technical field
The present invention relates to technical field of information processing, more particularly to a kind of rescue calculation resource disposition method and system.
Background technology
In actual life and work, it will usually run into various resource deployment problems, such as the deployment of accident rescue resource. When environmental pollution occurring or during disaster accident, whether reasonable, will seriously affect the progress of rescue, even if rescuing the deployment of resource Concern life security.One good calculation resource disposition method, can respond rapidly to accident rescue demand, reduce economic damage as far as possible Lose, save life.
In the prior art, usually after environmental pollution or disaster accident occur, resource is carried out according to actual conditions Deployment, although in this way, can according to the condition of a disaster it is practical design deployment scheme, often occur rescue the response time The problem of long, be on the one hand due to need to collect the condition of a disaster information and carry out resource deployment temporarily, be on the other hand actually to rescue Very likely there is a situation where traffic congestion relief goods can be caused not to be sent in time in helping, in addition, Extemporaneous is emergent The problem of deficiency or missing, be able to may also occur for rescue resource.Therefore, how rescue resource is reasonably disposed, so that dirty in environment After dye or disaster accident occur, it can respond rapidly to and ensure that the abundance for rescuing the supply of resource becomes the research weight of the present invention Point.
The content of the invention
The embodiment of the present invention provides a kind of rescue calculation resource disposition method and system, to solve in the prior art, it is difficult to rationally Ground deployment rescue resource, it is impossible to realize after environmental pollution or disaster accident occur, can respond rapidly to and ensure rescue money The sufficient technical problem of the supply in source.
On the one hand, the embodiment of the present invention provides a kind of rescue calculation resource disposition method, including:
The rescue requirements of latent defect point in deployment region are obtained, the rescue requirements are according to the latent defect point The hidden danger order of severity determine;
The positional information of the deployment region is obtained, the positional information includes the latent defect point and rescue point;
The rescue point closely located with the latent defect point is chosen as default rescue point, the default rescue point It is rescue distance with the distance of the corresponding latent defect point;
According to the rescue distance and the rescue requirements, the rescue demand assignment value for rescuing point is determined;
According to the rescue demand assignment value, deployment rescue resource.
In one of the embodiments, the selection rescue point closely located with the latent defect point is as pre- If rescue point, the default rescue point and the distance of the corresponding latent defect point be the step of rescuing distance, including:
Obtain number threshold value k;
Choose with most similar k rescue points of latent defect point distance as default rescue point, it is described default Rescue point is rescue distance with the distance of the corresponding latent defect point.
In one of the embodiments, the quantity of the latent defect point is multiple, if i-th latent defect point Rescue requirements are wi;The quantity of the rescue point is multiple, if i-th of latent defect point is corresponding with t-th The rescue distance of the default rescue point is dit,t≤k;It is described to rescue distance and the rescue requirements according to described, determine institute The step of stating the rescue demand assignment value of rescue point, including:
According to rescue distance square the ratio between, calculate each latent defect point in each corresponding default rescue point Rescue apportioning cost sit,j≤k。
According to rescue apportioning cost sit, calculate the rescue demand assignment value A for rescuing pointx
In one of the embodiments, it is described according to the rescue demand assignment value, dispose the step of rescuing resource, bag Include:
The sum of the rescue apportioning cost of all rescue points B is calculated;
Obtain the rescue apportioning cost A of total rescue resource R and the single rescue pointx
The deployment rescue resource C of the rescue point is calculatedx, C=RAx/B。
In one of the embodiments, it is described according to it is described rescue demand assignment value, deployment rescue resource the step of it Afterwards, further include:
According to rescue apportioning cost sitWith deployment rescue resource Cx, it is phase that the rescue point, which is calculated, as default rescue point The default rescue resource y that the latent defect point answered preparesxi
On the other hand, the embodiment of the present invention additionally provides a kind of rescue resource deployment system, including:
First acquisition module, for obtaining the rescue requirements of latent defect point in deployment region, the rescue requirements Determined according to the hidden danger order of severity of the latent defect point;
Second acquisition module, for obtaining the positional information of the deployment region, the positional information includes described potential Accident point and rescue point;
Module is chosen, default rescue point is used as with the closely located rescue point of the latent defect point for choosing, The default rescue point is rescue distance with the distance of the corresponding latent defect point;
Determining module, for according to the rescue distance and the rescue requirements, determining the rescue of the rescue point to need Seek apportioning cost;
Deployment module, for according to the rescue demand assignment value, deployment rescue resource.
In one of the embodiments, the selection module includes:
First acquisition unit, for obtaining number threshold value k;
Unit is chosen, is rescued for choosing with most similar k rescue points of latent defect point distance as default Help a little, the default rescue point is rescue distance with the distance of the corresponding latent defect point.
In one of the embodiments, the quantity of the latent defect point is multiple, if i-th latent defect point Rescue requirements are wi;The quantity of the rescue point is multiple, if i-th of latent defect point is corresponding with t-th The rescue distance of the default rescue point is dit,t≤k;The determining module includes:
First computing unit, for according to rescue distance square the ratio between, calculate each latent defect point each The rescue apportioning cost s of corresponding default rescue pointit,j≤k;
Second computing unit, for according to rescue apportioning cost sit, calculate the rescue demand assignment value A for rescuing pointx
In one of the embodiments, the deployment module includes:
The sum of 3rd computing unit, the rescue apportioning cost for all rescue points to be calculated B;
Second acquisition unit, for obtaining the rescue apportioning cost A of total rescue resource R and the single rescue pointx
4th computing unit, for the deployment rescue resource C of the rescue point to be calculatedx, C=RAx/B。
In one of the embodiments, system further includes:
Computing module, for according to rescue apportioning cost sitWith deployment rescue resource Cx, the rescue point conduct is calculated The default rescue resource y that default rescue point prepares for the corresponding latent defect pointxi
Rescue calculation resource disposition method provided in an embodiment of the present invention, by the rescue for obtaining latent defect point in deployment region Requirements, the rescue requirements are determined according to the hidden danger order of severity of the latent defect point;Obtain the deployment region Positional information, the positional information include the latent defect point and rescue point;Choose closely located with the latent defect point The rescue point as default rescue point, the default rescue point be to rescue road with the distance of the corresponding latent defect point Journey;According to the rescue distance and the rescue requirements, the rescue demand assignment value for rescuing point is determined;Rescued according to described Help demand assignment value, deployment rescue resource.Hereby it is achieved that for reasonably deployment rescue resource, beneficial in environmental pollution or After person's disaster accident occurs, it can respond rapidly to and ensure to rescue the abundance of the supply of resource, improve disaster relief efficiency and quality.
Brief description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, institute in being described below to the embodiment of the present invention Attached drawing to be used is needed to be briefly described, it should be apparent that, drawings in the following description are only some implementations of the present invention The attached drawing of example, for those of ordinary skill in the art, without creative efforts, can also be according to these Attached drawing obtains other attached drawings.
Fig. 1 is a kind of flow chart for the first embodiment for rescuing calculation resource disposition method of the present invention;
Fig. 2 is a kind of flow chart for the second embodiment for rescuing calculation resource disposition method of the present invention;
Fig. 3 is a kind of structure diagram for the first embodiment for rescuing resource deployment system of the present invention;
Fig. 4 is a kind of structure diagram for the second embodiment for rescuing resource deployment system of the present invention.
Embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete Site preparation describes, it is clear that described embodiment is part of the embodiment of the present invention, instead of all the embodiments.Based on this hair Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained without creative efforts Example, belongs to the scope of protection of the invention.
First embodiment
As shown in Figure 1, it is the flow chart of the first embodiment of present invention rescue calculation resource disposition method.The rescue resource deployment Method includes:
Step 101, the rescue requirements of latent defect point in deployment region are obtained, the rescue requirements are according to described latent Determined in the hidden danger order of severity of accident point.
In embodiments of the present invention, latent defect point refers to the place that accident potential may occur, such as dangerous goods store, Chemical plant etc., also can refer to occur the place of natural calamity.Wherein, when resource is rescued in deployment in advance in deployment region, The hidden danger order of severity of latent defect point is considered, rescue requirements are determined according to the hidden danger order of severity of latent defect point, such as The more high then rescue requirements of the hidden danger order of severity are higher.In addition, assign rescue requirements can also consider at the same time other because The place size of element, such as latent defect point, herein not reinflated narration.
Step 102, the positional information of the deployment region is obtained, the positional information includes the latent defect point and rescues Help a little.
In embodiments of the present invention, rescue point refers to the place (warehouse) of storage rescue resource.This step is needed according to portion The positional information in region is affixed one's name to, i.e. latent defect point designs deployment scheme with rescuing the distribution situation of point.
Step 103, the rescue point closely located with the latent defect point is chosen as default rescue point, it is described pre- If rescue point is rescue distance with the distance of the corresponding latent defect point.
In embodiments of the present invention, can choose and several rescue point conducts the most similar of latent defect point distance To the default rescue point of latent defect point, while each default rescue point is obtained to the distance of the latent defect point, as rescue Distance, it is possible thereby to more reasonably determine demand of the latent defect point to different distance rescue point.
Step 104, according to the rescue distance and the rescue requirements, the rescue demand assignment for rescuing point is determined Value.
In embodiments of the present invention, when default rescue point of the rescue point for multiple latent defect points, the rescue point Rescue demand assignment value for each latent defect point should be arranged in the rescue point rescue apportioning cost summation.Due to calculating Consider rescue distance during each rescue apportioning cost and rescue the factor of requirements, it follows that rescue demand assignment value more Rationally and more realistic meaning, for example,
Step 105, according to the rescue demand assignment value, deployment rescue resource.
In embodiments of the present invention, according to the rescue demand assignment value of each rescue point, rescue is disposed in deployment region Resource.Wherein, the method for the embodiment of the present invention is suitably applied accident rescue field, including environmental pollution accident rescue Resources Department Administration, disaster accident rescue resource deployment etc..
Rescue calculation resource disposition method provided in an embodiment of the present invention, by the rescue for obtaining latent defect point in deployment region Requirements, the rescue requirements are determined according to the hidden danger order of severity of the latent defect point;Obtain the deployment region Positional information, the positional information include the latent defect point and rescue point;Choose closely located with the latent defect point The rescue point as default rescue point, the default rescue point be to rescue road with the distance of the corresponding latent defect point Journey;According to the rescue distance and the rescue requirements, the rescue demand assignment value for rescuing point is determined;Rescued according to described Help demand assignment value, deployment rescue resource.Hereby it is achieved that for reasonably deployment rescue resource, beneficial in environmental pollution or After person's disaster accident occurs, it can respond rapidly to and ensure to rescue the abundance of the supply of resource, improve disaster relief efficiency and quality.
Second embodiment
As shown in Fig. 2, it is the flow chart of the second embodiment of present invention rescue calculation resource disposition method.The rescue resource deployment Method includes:
Step 201, the rescue requirements of latent defect point in deployment region are obtained, the rescue requirements are according to described latent Determined in the hidden danger order of severity of accident point.
Step 202, the positional information of the deployment region is obtained, the positional information includes the latent defect point and rescues Help a little.
Step 201-202 is identical with the corresponding steps of first method embodiment of the present invention, and details are not described herein again.
Step 203, number threshold value k is obtained.
In embodiments of the present invention, number threshold value k is the number for the default rescue point that should be chosen for latent defect point.
Step 204, choose and rescue point as default with a rescue points of the most similar k of latent defect point distance, The default rescue point is rescue distance with the distance of the corresponding latent defect point.
In embodiments of the present invention, the calculating of reverse k arest neighbors can be used, this process can directly use existing side Method solves, such as thorough search k arest neighbors (violence calculating) etc..This detailed process is unrelated to the invention, no longer illustrates herein.
Step 205, according to rescue distance square the ratio between, calculate each latent defect point each corresponding default Rescue the rescue apportioning cost s of pointit,j≤k。
In embodiments of the present invention, the quantity of the latent defect point is multiple, if i-th latent defect point is rescued It is w to help requirementsi;The quantity of the rescue point is multiple, if i-th of latent defect point institute corresponding with t-th The rescue distance for stating default rescue point is dit,t≤k。
Specifically, then can be first tight according to hidden danger to each latent defect point if there is m latent defect point in deployment region Weight degree assigns rescue requirements w1、w2、w3、……、wmIf the rescue requirements of i-th of latent defect point are wi, i≤m.And Have chosen the default rescue points of k for i-th of latent defect point, these default rescue points according to distance arrangement from the near to the remote, Rescue distance with i-th of latent defect point is di1、di2、di3、……、dik, wherein t-th of corresponding default rescue point Rescue distance be dit,t≤k.Then, according to the ratio between path distance square, the rescue demand minute of each latent defect point is divided With value, such as latent defect point wiT-th of arest neighbors rescue apportioning cost
Step 206, according to rescue apportioning cost sit, calculate the rescue demand assignment value A for rescuing pointx
In this step, the sum of rescue apportioning cost of each rescue point, the rescue demand assignment as the rescue point are calculated Value Ax.When there is n rescue point in deployment region, the rescue demand assignment value of these rescue points is A1、A2、A3、……、An, x-th The rescue demand assignment value of rescue point is Ax.Such as assume k=5, this x-th rescue point is the 1st latent defect point respectively 4th default rescue point of the 2nd default rescue point and the 2nd latent defect point, then the rescue demand assignment of the rescue point It is worth for Ax=s12+s34
Step 207, the sum of the rescue apportioning cost of all rescue points B is calculated.
In embodiments of the present invention, the rescue demand assignment value of all rescue points is added, obtains the sum of rescue apportioning cost B, i.e. B=A1+A2+A3+……+An
Step 208, the rescue apportioning cost A of total rescue resource R and the single rescue point is obtainedx
In embodiments of the present invention, always rescue resource R is arrangement and the rescue resource summation of the deployment region.
Step 209, the deployment rescue resource C of the rescue point is calculatedx, C=RAx/B。
The present invention is directed to accident rescue scene, designs a kind of rescue calculation resource disposition method for more meeting practical application, should Method relys more on rescue point closely when considering accident rescue, but also once in a while using slightly at a distance rescue point (such as In the case where rescue point closely is unable to cope with really) the characteristics of, using the method for inverse distance square, increase is closely The rescue resource deployment value of point is rescued, reduces the rescue resource deployment value of remote rescue point.In addition, the present invention consider it is potential The hidden danger order of severity of accident point.
Step 210, according to rescue apportioning cost sitWith deployment rescue resource Cx, the rescue point is calculated and is rescued as default Help the default rescue resource y a little prepared for the corresponding latent defect pointxi
In embodiments of the present invention, it is the corresponding potential thing that can also further calculate rescue point as default rescue point Therefore the default rescue resource y that point preparesxi, can be promptly by corresponding number after some latent defect point generation accident Rescue resource transport to accident point, wherein yxi=Cxsit/Ax
Rescue calculation resource disposition method provided in an embodiment of the present invention, by the rescue for obtaining latent defect point in deployment region Requirements, the rescue requirements are determined according to the hidden danger order of severity of the latent defect point;Obtain the deployment region Positional information, the positional information include the latent defect point and rescue point;Obtain number threshold value k;Choose with it is described potential The described rescue points of the most similar k of accident point distance as default rescue point, the default rescue point with it is corresponding described potential The distance of accident point is rescue distance;According to rescue distance square the ratio between, calculate each latent defect point in each phase The rescue apportioning cost s for the default rescue point answeredit;According to rescue apportioning cost sit, calculate the rescue demand assignment value for rescuing point Ax;According to the rescue demand assignment value, deployment rescue resource;The sum of rescue apportioning cost of all rescue points is calculated B;Obtain the rescue apportioning cost A of total rescue resource R and the single rescue pointx;The deployment rescue of the rescue point is calculated Resource Cx, C=RAx/B;According to rescue apportioning cost sitWith deployment rescue resource Cx, the rescue point is calculated and is rescued as default Help the default rescue resource y a little prepared for the corresponding latent defect pointxi.Hereby it is achieved that for reasonably deployment rescue Resource, beneficial to after environmental pollution or disaster accident occur, can responding rapidly to and ensure to rescue the abundance of the supply of resource, Improve disaster relief efficiency and quality.
One of ordinary skill in the art will appreciate that realize all or part of flow in above-described embodiment method, Ke Yitong The relevant hardware of computer program is crossed to complete, the program can be stored in a computer read/write memory medium, the journey Sequence is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, the storage medium can be disk, CD, Read-only memory (Read-Only Memory, ROM) or random access memory (Random Access Memory, RAM) etc..
The embodiment of the rescue calculation resource disposition method of the present invention is discussed in detail above.It will correspond to above-mentioned side below The system of method is further elaborated.
3rd embodiment
As shown in figure 3, be the present invention it is a kind of rescue resource deployment system first embodiment structure diagram, the system 300 can implement each step of the first embodiment of present invention rescue calculation resource disposition method, specifically include:
First acquisition module 301, for obtaining the rescue requirements of latent defect point in deployment region, the rescue demand Value is determined according to the hidden danger order of severity of the latent defect point;
Second acquisition module 302, for obtaining the positional information of the deployment region, the positional information includes described latent In accident point and rescue point;
Module 303 is chosen, for choosing the rescue point closely located with the latent defect point as default rescue Point, the default rescue point are rescue distance with the distance of the corresponding latent defect point;
Determining module 304, for according to the rescue distance and the rescue requirements, determining the rescue of the rescue point Demand assignment value;
Deployment module 305, for according to the rescue demand assignment value, deployment rescue resource.
System provided in an embodiment of the present invention, it is described by obtaining the rescue requirements of latent defect point in deployment region Rescue requirements are determined according to the hidden danger order of severity of the latent defect point;Obtain the positional information of the deployment region, institute Stating positional information includes the latent defect point and rescue point;Choose and the closely located rescue point of the latent defect point As default rescue point, the default rescue point is rescue distance with the distance of the corresponding latent defect point;According to described Distance and the rescue requirements are rescued, determine the rescue demand assignment value of the rescue point;According to the rescue demand assignment Value, deployment rescue resource.Hereby it is achieved that for reasonably deployment rescue resource, beneficial in environmental pollution or disaster accident After generation, it can respond rapidly to and ensure to rescue the abundance of the supply of resource, improve disaster relief efficiency and quality.
Fourth embodiment
As shown in figure 4, be the present invention it is a kind of rescue resource deployment system second embodiment structure diagram, the system 400 can implement each step of the second embodiment of present invention rescue calculation resource disposition method, be based on a kind of rescue money of the present invention The improvement of the first embodiment of source deployment system, specifically includes:
First acquisition module 401, is connected with the second acquisition module 402, for obtaining latent defect point in deployment region Rescue requirements, it is described rescue requirements determined according to the hidden danger order of severity of the latent defect point.
Second acquisition module 402, with choosing module 403, is connected for the positional information for obtaining the deployment region, institute Stating positional information includes the latent defect point and rescue point.
Module 403 is chosen, is connected with determining module 404, for choosing and the closely located institute of the latent defect point It is rescue distance with the distance of the corresponding latent defect point that rescue point, which is stated, as default rescue point, the default rescue point.
Wherein, the selection module 403 is included with lower unit:
First acquisition unit 4031, is connected with choosing unit 4032, for obtaining number threshold value k.
Unit 4032 is chosen, for choosing with most similar k rescue points of latent defect point distance as pre- If rescuing point, the default rescue point is rescue distance with the distance of the corresponding latent defect point.
Determining module 404, is connected with deployment module 405, for rescuing distance and the rescue requirements according to described, Determine the rescue demand assignment value of the rescue point;
Wherein, the quantity of the latent defect point is multiple, if the rescue requirements of i-th of latent defect point are wi;The quantity of the rescue point is multiple, if i-th of latent defect point default rescue corresponding with t-th The rescue distance of point is dit,t≤k;The determining module 404 includes:
First computing unit 4041, is connected with the second computing unit 4042, for according to rescue distance square the ratio between, Calculate rescue apportioning cost s of each latent defect point in each corresponding default rescue pointit,j≤ k。
Second computing unit 4042, for according to rescue apportioning cost sit, calculate the rescue demand assignment value for rescuing point Ax
Deployment module 405, is connected with computing module 406, for according to the rescue demand assignment value, deployment rescue money Source.
Wherein, the deployment module 405 is included with lower unit:
3rd computing unit 4051, is connected with second acquisition unit 4052, for all rescue points to be calculated The sum of rescue apportioning cost B.
Second acquisition unit 4052, is connected with the 4th computing unit 4053, for obtaining total rescue resource R and single institute State the rescue apportioning cost A of rescue pointx
4th computing unit 4053, for the deployment rescue resource C of the rescue point to be calculatedx, C=RAx/B。
Computing module 406, for according to rescue apportioning cost sitWith deployment rescue resource Cx, the rescue point is calculated and makees It is the default rescue resource y that the corresponding latent defect point prepares for default rescue pointxi
Rescue resource deployment system provided in an embodiment of the present invention, by receiving letters and calls information;Based on the letters and calls information Generate the environmentally friendly management information;Environmentally friendly management role is obtained, the environmental protection management role includes check object;Obtain the inspection Check enterprise name and the Corporate Identity number of elephant;Based on participle discriminance analysis described in enterprise name, based on hash function decode institute Corporate Identity number is stated, obtains the company information, the company information includes the type of business, organization mechanism code, former name, in detail One or more information in thin address, category of employment, the pollution sources information;The inspection is obtained according to the company information Area information where object;Show the graphical interfaces of the area information, described image interface also illustrates the company information; According to the company information, environmentally friendly managerial integration is shown;According to the inspection record to the check object, the pollution sources are updated Information, the pollution sources information include environmentally friendly rating information;Record the performance of the environmentally friendly management role, the environmental protection pipe Reason task further includes inspection personnel.Thus, use realizes more precisely with intelligent taxonomic hierarchies and adaptive classification method Protection of ecological precision, fully improves environment ability to supervise, power-assisted simplify administrative procedures and delegate powers to the lower levels, perfect in thing and supervise afterwards with big data Tube mechanism, is realized " using data management ".Meanwhile using regulatory measures such as big data support ruling by law, credit, societies, improve life Initiative, accuracy and the validity of state environment supervision.
Each technical characteristic of foregoing embodiment can be combined arbitrarily, to make description succinct, not to above-mentioned reality Apply all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited In contradiction, the scope that this specification is recorded all is considered as.
The above description is merely a specific embodiment, but protection scope of the present invention is not limited thereto, any Those familiar with the art can readily occur in change or replacement in the technical scope of present disclosure, should all contain Cover within protection scope of the present invention.Therefore, protection scope of the present invention should be subject to scope of the claims.

Claims (10)

1. one kind rescue calculation resource disposition method, it is characterised in that including:
The rescue requirements of latent defect point in deployment region are obtained, the rescue requirements are according to the hidden of the latent defect point Suffer from the order of severity to determine;
The positional information of the deployment region is obtained, the positional information includes the latent defect point and rescue point;
The rescue point closely located with the latent defect point is chosen as default rescue point, the default rescue point and phase The distance for the latent defect point answered is rescue distance;
According to the rescue distance and the rescue requirements, the rescue demand assignment value for rescuing point is determined;
According to the rescue demand assignment value, deployment rescue resource.
2. according to the method described in claim 1, it is characterized in that, the selection and the closely located institute of the latent defect point It is rescue distance with the distance of the corresponding latent defect point that rescue point, which is stated, as default rescue point, the default rescue point Step, including:
Obtain number threshold value k;
Choose with most similar k rescue points of latent defect point distance as default rescue point, the default rescue Point is rescue distance with the distance of the corresponding latent defect point.
3. according to the method described in claim 2, it is characterized in that, the quantity of latent defect point is multiple, if i-th of institute The rescue requirements for stating latent defect point are wi;The quantity of the rescue point is multiple, if i-th of latent defect point The rescue distance of the default rescue point corresponding with t-th is dit,t≤k;It is described to rescue distance and the rescue according to described Requirements, determine it is described rescue point rescue demand assignment value the step of, including:
According to rescue distance square the ratio between, calculate the rescue of each latent defect point in each corresponding default rescue point Apportioning cost sit,j≤k;
According to rescue apportioning cost sit, calculate the rescue demand assignment value A for rescuing pointx
It is 4. according to the method described in claim 3, it is characterized in that, described according to the rescue demand assignment value, deployment rescue The step of resource, including:
The sum of the rescue apportioning cost of all rescue points B is calculated;
Obtain the rescue apportioning cost A of total rescue resource R and the single rescue pointx
The deployment rescue resource C of the rescue point is calculatedx, C=RAx/B。
5. according to the method described in claim 4, it is characterized in that, rescued described according to the rescue demand assignment value, deployment After the step of helping resource, further include:
According to rescue apportioning cost sitWith deployment rescue resource Cx, it is corresponding that the rescue point, which is calculated, as default rescue point The default rescue resource y that the latent defect point preparesxi
6. one kind rescue resource deployment system, it is characterised in that including:
First acquisition module, for obtaining the rescue requirements of latent defect point in deployment region, the rescue requirements according to The hidden danger order of severity of the latent defect point determines;
Second acquisition module, for obtaining the positional information of the deployment region, the positional information includes the latent defect Point and rescue point;
Module is chosen, it is described for choosing the rescue point closely located with the latent defect point as default rescue point Default rescue point is rescue distance with the distance of the corresponding latent defect point;
Determining module, for according to the rescue distance and the rescue requirements, determining the rescue demand minute for rescuing point With value;
Deployment module, for according to the rescue demand assignment value, deployment rescue resource.
7. system according to claim 6, it is characterised in that the selection module includes:
First acquisition unit, for obtaining number threshold value k;
Unit is chosen, point is rescued as default with a rescue points of the most similar k of latent defect point distance for choosing, The default rescue point is rescue distance with the distance of the corresponding latent defect point.
8. system according to claim 7, it is characterised in that the quantity of the latent defect point is multiple, if i-th of institute The rescue requirements for stating latent defect point are wi;The quantity of the rescue point is multiple, if i-th of latent defect point The rescue distance of the default rescue point corresponding with t-th is dit,t≤k;The determining module includes:
First computing unit, for according to rescue distance square the ratio between, calculate each latent defect point each corresponding Default rescue point rescue apportioning cost sit,j≤k。
Second computing unit, for according to rescue apportioning cost sit, calculate the rescue demand assignment value A for rescuing pointx
9. system according to claim 8, it is characterised in that the deployment module includes:
The sum of 3rd computing unit, the rescue apportioning cost for all rescue points to be calculated B;
Second acquisition unit, for obtaining the rescue apportioning cost A of total rescue resource R and the single rescue pointx
4th computing unit, for the deployment rescue resource C of the rescue point to be calculatedx, C=RAx/B。
10. system according to claim 9, it is characterised in that further include:
Computing module, for according to rescue apportioning cost sitWith deployment rescue resource Cx, the rescue point is calculated as default The default rescue resource y that rescue point prepares for the corresponding latent defect pointxi
CN201711080797.0A 2017-11-06 2017-11-06 One kind rescue calculation resource disposition method and system Pending CN107909256A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711080797.0A CN107909256A (en) 2017-11-06 2017-11-06 One kind rescue calculation resource disposition method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711080797.0A CN107909256A (en) 2017-11-06 2017-11-06 One kind rescue calculation resource disposition method and system

Publications (1)

Publication Number Publication Date
CN107909256A true CN107909256A (en) 2018-04-13

Family

ID=61843547

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711080797.0A Pending CN107909256A (en) 2017-11-06 2017-11-06 One kind rescue calculation resource disposition method and system

Country Status (1)

Country Link
CN (1) CN107909256A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110033104A (en) * 2019-04-15 2019-07-19 北京理工大学 Coverage division methods towards Agricultural Machinery Equipment novel maintenance service network
CN111367274A (en) * 2020-01-13 2020-07-03 北京理工大学 Emergency rescue scene information detection method and system
CN115619064A (en) * 2022-12-16 2023-01-17 南方科技大学 Rescue plan making method, device, equipment and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102542359A (en) * 2012-01-09 2012-07-04 吉林大学 Method for optimizing arrangement and distribution of multi-target emergency rescue resources
CN105701613A (en) * 2016-01-13 2016-06-22 天津中科智能识别产业技术研究院有限公司 Emergency material distribution and dispatching decision support method and system thereof
CN106910018A (en) * 2017-02-23 2017-06-30 吉林大学 One kind rescue resource regulating method and system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102542359A (en) * 2012-01-09 2012-07-04 吉林大学 Method for optimizing arrangement and distribution of multi-target emergency rescue resources
CN105701613A (en) * 2016-01-13 2016-06-22 天津中科智能识别产业技术研究院有限公司 Emergency material distribution and dispatching decision support method and system thereof
CN106910018A (en) * 2017-02-23 2017-06-30 吉林大学 One kind rescue resource regulating method and system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
黄德启: "面向区域路网的应急资源布局与调度方法研究", 《万方数据》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110033104A (en) * 2019-04-15 2019-07-19 北京理工大学 Coverage division methods towards Agricultural Machinery Equipment novel maintenance service network
CN111367274A (en) * 2020-01-13 2020-07-03 北京理工大学 Emergency rescue scene information detection method and system
CN115619064A (en) * 2022-12-16 2023-01-17 南方科技大学 Rescue plan making method, device, equipment and storage medium

Similar Documents

Publication Publication Date Title
Kuruppu et al. Gaining, maintaining and repairing organisational legitimacy: When to report and when not to report
Palmer et al. Mapping out fuzzy buzzwords‒who sits where on sustainability and sustainable development
Linnenluecke et al. Assessing organizational resilience to climate and weather extremes: complexities and methodological pathways
Chen et al. How firms innovate through R&D internationalization? An S-curve hypothesis
Groves et al. Planning for biodiversity conservation: putting conservation science into practice: a seven-step framework for developing regional plans to conserve biological diversity, based upon principles of conservation biology and ecology, is being used extensively by the nature conservancy to identify priority areas for conservation
Liu et al. Optimal siting of fire stations using GIS and ANT algorithm
Carlsen et al. Tailor-made scenario planning for local adaptation to climate change
Yamagata et al. Resilience-oriented urban planning
Steffey et al. International projects proposal analysis: Risk assessment using radial maps
Cheng et al. Optimizing Location of Car‐Sharing Stations Based on Potential Travel Demand and Present Operation Characteristics: The Case of Chengdu
CN107909256A (en) One kind rescue calculation resource disposition method and system
Nost et al. Earth for AI: A political ecology of data-driven climate initiatives
Storms et al. Developing a resilience tool for higher education institutions: A must-have in campus master planning
Tan et al. Development of an inexact fuzzy robust programming model for integrated evacuation management under uncertainty
Pathak et al. Smart cities: Review of characteristics, composition, challenges and technologies
Sadatsafavi et al. Scenario planning application in US highway transportation industry
Xie et al. Railroad caller districting with reliability, contiguity, balance, and compactness considerations
Susmitha et al. Smart cities using big data analytics
Lehtomäki et al. Running a zonation planning project
Skyrius et al. A study on complex information needs in business activities
Holguín-Veras et al. Implementation of priority systems for containers at marine intermodal terminals
Marafa Socio-ecological impact and risk assessments in the urban environment: a multidisciplinary concept from Hong Kong
CN108255979A (en) A kind of data summarization method, data summarization platform and system
Lincaru et al. THE CITY REDEFINED: UNDERSTANDING THE RELATIONSHIP BETWEEN PEOPLE AND THEIR PLACE.
Ono et al. Application of natural disaster information for supply chain resilience

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
RJ01 Rejection of invention patent application after publication

Application publication date: 20180413

RJ01 Rejection of invention patent application after publication