CN109102868A - The site selecting method of medical emergency facility after a kind of shake - Google Patents
The site selecting method of medical emergency facility after a kind of shake Download PDFInfo
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Abstract
The invention discloses a kind of site selecting methods of medical emergency facility after shake, comprising the following steps: (1) determines the alternative point of medical emergency facility after shake；(2) according to the concrete condition in region, the influence factor of medical emergency facility Optimizing Site Selection after shake is analyzed；(3) each influence factor weight is calculated using TOPSIS；(4) using fairness, high efficiency, coverage area are maximum and suitably consider that cost as target, establishes base's grade emergency medical facility site selection model；(5) on the basis of step (4) base grade emergency medical facility site selection model, advanced emergency medical command post site selection model after shake is established；(6) it is solved using the model of Nested Genetic Algorithm pair, determines primary care emergency service point set and advanced emergency medical command post.This site selecting method of the present invention can quickly, the determination medical emergency facility point of science, be of great importance to casualties after reducing shake.
Description
Technical field
The invention belongs to contingency management technical fields after calamity, and in particular to the addressing side of medical emergency facility after a kind of shake
Method.
Background technique
China is located at circum-Pacific seismic belt and Eurasian seismic belt intersection part, and earthquake is more, intensity is big, distribution is wide, focus
It shallowly, is to be influenced one of country the most serious by earthquake disaster in the world.According to statistics, 20 th century of China occur 6 grades altogether with Shangdi
Shake more than 650 times: wherein 7 grades of Richter scale earthquake 100 times, 8 grades or more earthquake 10 times；Death toll caused by earthquake up to more than 610,000 people,
Account for about the 36% of world's earthquake total toll, occupies first place in the world.In fact, being deposited after the earthquake according to Post disaster relief experience
The survival of the wounded will be greatly improved if timely, scientific rescue can during this period of time be unfolded at one " gold 72 hours "
Rate.But after the earthquake, rescue facility often damages seriously, and material equipment loss is huge, and disaster area has no ability to immediately
Carry out emergency self-saving；And topography and geomorphology variation is huge, and traffic barrier, external rescue strength, which cannot be introduced into disaster area, carries out rescue in time
Help work.Therefore how to be cured after earthquake occurs the limited manpower and material resources of first time inner tissue, in a planned way coordinates to carry out shake
Contingency management work is treated, the primary premise and work requirements of work of preventing and reducing natural disasters are become.
The addressing of medical emergency facility is a very important ring in Emergency management system after shake, and critical issue is determining doctor
Treat quantity, position and the capacity of facility.However, model is less in terms of the existing medical emergency facility addressing after the shake, often use for reference
General service facility site selection model solves problem above.Common service facility site selection model has P intermediate value model, P center die
Type, location sets overlay model and Maximal covering model etc., but there are the following problems for single model:
(1) based on P intermediate value model site selection model primary concern is that the service efficiency of service facility, thus its objective function
It is required that each demand point is minimum to total Weighted distance between service facility point, thus this model be suitable for it is to emergency response and
When property general service facility of less demanding, and medical treatment is answered after the shake for needing to reduce dead and wounded number, reduction property loss
The addressing of anxious facility is simultaneously not suitable for；
(2) fairness of service facility is mainly considered based on the addressing of P center model, thus its objective function requires each demand
The maximum distance of point to service facility point is minimum, so as to quickly provide service for farthest demand point；But this choosing
Location method will cause the waste of resource for emergency disaster relief, increase the financial burden in disaster area；
(3) objective function of location sets overlay model requires set service facility quantity minimum and can cover all
Demand point, but the model does not account for the size of demand, will lead to the excessive consuming of system resource；In addition, maximal cover
Distance (or time) is difficult to scientific determination, and the facility number for often resulting in calculating is excessive and is more than ability to cope with the exigency；
(4) objective function of Maximal covering model requires capped demand point total value maximum, and emphasis considers fund
The limitation of budget, but facility number needed for the model assumption determines, is not inconsistent with medical emergency facility addressing target after shake.And its
Standard maximum coverage distance is determined without forensic science, and calculated result is caused not meet reality.
As known from the above, it commonly uses service facility site selection model and belongs to objective programming problem, i.e., can only meet single want
It asks, medical emergency Facility Location Problem is not applicable after shake more complicated for expectation target.
Summary of the invention
For the deficiency of above-mentioned single site selection model, the object of the present invention is to provide one kind can utmostly cover it is disaster-stricken
The site selecting method of medical emergency facility after area, the prestissimo treatment wounded, the shake that economizes on resources to greatest extent.
The site selecting method of medical emergency facility after this shake provided by the invention, comprising the following steps:
(1) the alternative point of medical emergency facility after shaking is determined；
(2) according to the concrete condition in region, the influence factor of medical emergency facility Optimizing Site Selection after shake is analyzed；
(3) influence factor determined according to step (2) calculates each influence factor weight using TOPSIS；
(4) weight of the alternative point and each influence factor in step (3) determined according to step (1), with fairness, efficiently
Rate, coverage area are maximum and suitably consider that cost is target, establish base's emergency medical facility site selection model；
(5) on the basis of step (4) base emergency medical facility site selection model, advanced emergency medical commander after shake is established
Institute's site selection model；
(6) model in step (4) and step (5) is solved using Nested Genetic Algorithm, determines that primary care is answered
The number of anxious facility point set and position and the position of advanced emergency medical command post.
In the step (1), medical emergency facility is alternatively put after determining shake method particularly includes: with topography and geomorphology, geology
Disaster, vegetation, water system are broad perspectives index, to the quantization of each index factor, are classified assignment and assign weight；Then ArcGIS is utilized
Spatial analysis module analysis is overlapped to all quantization figure layers, obtaining is suitable for that the highest place of sex index is used as emergency service
Alternative point.
In the step (2), influence factor is the density of population, economic level, traffic convenience degree, disaster-stricken situation, population
It is a variety of in age composition, education level.
In the step (3), the calculation method of influence factor weight, comprising the following steps:
A: building original matrix
Equipped with n evaluation object, m evaluation index, initial data can be written as matrix X=(Xij)n×m(1)；Wherein { i
∈ I } represent the set of all demand points；{ j ∈ J } represents the set that emergency service is alternatively put；
B: changing Gao You, low excellent index, normalized in the same direction respectively, and obtaining matrix Z, change is handled in the same direction:
Normalized:
C: optimal, the most bad vector of construction
By changing in the same direction, after normalized, matrix Z=(Z is obtainedij)n×mAfterwards, each column are maximum, minimum value composition
Optimal, most bad vector is denoted as respectively:
Z+=(ZMax1 ZMax2 … ZMaxm) (4)
Z-=(ZMin1 ZMin2 … ZMinm) (5)
D: calculate each evaluation object to optimal, most bad vector distance D
The distance of i-th of evaluation object optimal case:
The distance of i-th of evaluation object Worst scheme:
E: the degree of closeness C of each evaluation object and optimal vector is calculatedi, the weight of as each influence factor
In the step (4), base's grade emergency medical facility site selection model are as follows:
Ni=j | dij≤S} (13)
Wherein, wi(i=1,2 ... I) are the weight of demand point i；dijFor demand point i to emergency service alternatively point j away from
From；widijFor the Weighted distance between demand point i and emergency service alternatively point j；Z is the quantity of emergency service point；NiFor covering
The set that demand point i is alternatively put to all emergency services；S is the maximum distance for the unit time allowing to transport；yjEmergency is represented for 1
Alternatively point j is selected facility, is represented otherwise for 0；xijRepresenting demand point i for 1, alternatively point j provides service by emergency service, is 0
It represents otherwise.
In the step (5), the method for building up of advanced emergency medical command post site selection model after shake are as follows:
A: the target of advanced emergency medical command post site selection model is mainly in view of each base's grade emergency medical facility
Total Weighted distance is minimum；
B: assuming that the collection for the primary care emergency service point that step (4) is found out is combined into { a ∈ A }, the base selected from these
An advanced headquarter are selected in facility point；Obtain advanced emergency medical command post site selection model after shaking are as follows:
If widijWeighted distance between node i and j；
Target function type (17) indicates each primary care emergency service point to total between advanced emergency medical command post
Weighted distance is minimum；Constraint formula (18) indicates that primary care emergency service point is at least capped primary；Constraint formula (19) indicates only
Primary care emergency service point is assigned to an advanced emergency medical command post；Constraint formula (20) indicates advanced emergency medical commander
Institute's quantity is 1；Constraint formula (21) indicates decision variable xjFor 0-1 integer variable.
In the step (6), specific step that Nested Genetic Algorithm solves the model in step (4) and step (5)
Suddenly are as follows:
A) internal layer genetic algorithm is used to optimize quantity and the position of primary care emergency service point, to meet medical treatment after shake
Emergency management and rescue justice, efficient, all standing, the requirement for the cost that practices every conceivable frugality；
B) outer layer genetic algorithm is used to select an advanced emergency medical command post in primary care emergency service point, full
Foot unified management, unified command, the requirement of coordinated scheduling.
The internal layer genetic algorithm the following steps are included:
Space length matrix X that a-1, input demand point and facility are alternatively put, the number K of alternative facility point, facility point
The weight vectors Vn of covering radius D and demand point；
A-2, selected facility point number P=1:K；
When a-3, the operation tool box GA calculate selected facility point number, the weighting the smallest Facility location of total distance is used；
If demand for services point distance is greater than facility point service radius D therewith for a-4, facility point, the addressing scheme is abandoned；
If demand for services point distance is greater than facility point service radius D therewith for a-5, facility point, P=P+1 is enabled, if P > K,
Determine the addressing scheme；If P < K, repeatedly step a-3~a-5；
A-6, selection meet condition and the smallest addressing scheme of equipment point number；Obtain base's emergency medical facility points
Mesh, position, the corresponding demand point of service and capacity；
The outer layer genetic algorithm, comprising the following steps: in primary care emergency service point, the tool box GA is run,
It selects a little to make the advanced emergency medical command post of the smallest facility point of total Weighted distance.
Beneficial effects of the present invention: this site selecting method turns the objective programming problem of traditional site selection model in the present invention
It is changed to the Bilevel Programming Problem solved using Nested Genetic Algorithm, considers weighting transportation range minimum, facility number at the same time most
Under the constraint condition of small (i.e. cost minimization), demand point all standing, quantity, position and the appearance of output facility point can be calculated simultaneously
Amount, and advanced command centre and primary care emergency service point can be exported simultaneously, to be provided certainly for post-earthquake emergency response response
Plan reference.This site selecting method of the present invention can quickly, the determination medical emergency facility point of science, have to casualties after reducing shake
Important meaning.
Detailed description of the invention
Fig. 1 is the flow chart of the invention used in level medical emergency facility site selecting method after shake；
Fig. 2 is embodiment 1 based on level medical emergency facility prime selected site flow chart after the shake of ArcGIS；
Fig. 3 is embodiment 1 based on medical emergency facility Optimizing Site Selection flow chart after the shake of Nested Genetic Algorithm.
Specific embodiment
Embodiment 1
The technical solution that the present embodiment uses for a kind of shake after level medical emergency facility site selection model, the model defer to
Lower hypothesis:
A) shake after medical emergency facility demand point oneself know that administrative center's point that survey region is arranged in (typically represents people
Mouth most centrostigma), the locations of structures and feature of demand point are defined with this.
B) distance of alternate medical emergency service point to demand point is linear distance of the facility point to demand dot center；
C) in view of road damage is serious after macroseism and the demand of emergency management and rescue, medical emergency rescue is using straight after shake
The transport of the machine of liter；
D) construction cost of all medical emergency facilities is identical.
The process of the present embodiment as shown in Figure 1, the specific steps are that:
Step 1: medical emergency facility alternatively puts determination after shake
Alternatively put constant current journey really in this step as shown in Fig. 2, specifically includes the following steps:
After shake medical emergency facility should select build in topography it is flatter, apart from tomography distance farther out, apart from geological disaster point
Farther out, lithology consolidates, apart from water system closer place distance.Therefore the present embodiment extracts elevation Elevation, the gradient
Slope, away from water system distance Stream, away from tomography distance Fault, away from geological disaster point distance Landslide and lithology Strata
Six indexs are as the influence factor for influencing medical emergency facility prime selected site after shaking；Then to each factor quantification and it is classified assignment
(as shown in table 1), using ArcGIS platform data analysis module to evaluation points reclassification go forward side by side row buffering analyze；Last benefit
Analysis is overlapped to All Layers with the spatial analysis module of ArcGIS platform, the quantized value that each figure layer corresponds to grid is led to
Cross average weighted method and calculate suitable sex index, result of weighted average is divided into four classes, that is, be not suitable for area, low Suitable Area,
Middle Suitable Area and high Suitable Area, wherein alternative point of the high Suitable Area as medical emergency facility addressing after shake.
Each evaluation index figure layer zonal quantization table of table 1
Step 2: medical emergency facility Optimizing Site Selection analysis of Influential Factors after shake；
The present embodiment takes 4 density of population, economic level, traffic convenience degree, disaster-stricken situation factors to medical after shake
Emergency location is advanced optimized.Wherein:
Assuming that the density of population of each demand point is Pn；
The local nearest 1 year public finance budgetary receipts C of economic levelnIt indicates；
Traffic convenience
(Lhighway: local highway mileage；Lrailway: local railway mileage, S: the local gross area)；
Disaster-stricken situation number of casualties InTo indicate.
Step 3: calculating each influence factor weight using TOPSIS
The calculation method of influence factor weight, comprising the following steps:
1 building original matrix
Equipped with n evaluation object, m evaluation index, initial data can be written as matrix X=(Xij)n×m(2)；
Wherein { i ∈ I } represents the set of all demand points；{ j ∈ J } represents the set that emergency service is alternatively put；
B: Gao You, low excellent index are changed, normalized in the same direction respectively, obtains matrix Z
In the same directionization processing:
Normalized:
C: optimal, the most bad vector of construction
By changing in the same direction, after normalized, matrix Z=(Z is obtainedij)n×mAfterwards, each column are maximum, minimum value composition
Optimal, most bad vector is denoted as respectively:
Z+=(ZMax1 ZMax2 … ZMaxm) (5)
Z-=(ZMin1 ZMin2 … ZMinm) (6)
D: calculate each evaluation object to optimal, most bad vector distance D
The distance of i-th of evaluation object optimal case:
The distance of i-th of evaluation object Worst scheme:
E: the degree of closeness C of each evaluation object and optimal vector is calculatedi, the weight of as each influence factor
Step 4: Zhen Hou base emergency medical facility site selection model is established；
The target of base's grade emergency medical facility site selection model include: fairness, high efficiency, coverage area it is maximum and
Suitably consider cost, indicated with mathematical formulae are as follows:
Ni=j | dij≤S}(14)
Wherein, wi(i=1,2 ... I) are the weight of demand point i；dijFor demand point i to candidate service facility point j away from
From；widijFor the Weighted distance between demand dielectric i and candidate service facility point j；NiFor covering demand point i to all candidate clothes
The set for facility point of being engaged in；S is the maximum distance for the unit time allowing to transport；yjCandidate service facility point j is represented for 1, was 0 generation
Table is otherwise；xijDemand point i is represented by candidate service facility point j for 1 to provide service, is represented otherwise for 0.
Target function type (10) indicates that each demand point is minimum to total Weighted distance between p service facility point；(11)
Indicate that the number of service facility point is minimum；Constraint formula (12) is expressed as emergency demand point and provides the facility point of emergency service at least
One；Constraint formula (13) indicates only to assign demand point to an emergency service；Constraint formula (14) indicates demand point i to candidate service
The distance of facility point j is less than the set of the maximum distance in the unit time allowed to transport；Constraint formula (15) indicates decision variable xj
For 0-1 integer variable.
Step 5: shake after advanced emergency medical command post site selection model method for building up are as follows:
1, the target of advanced emergency medical command post site selection model is mainly in view of each base's grade emergency medical facility
Total Weighted distance is minimum；
2, assume that the collection for the primary care emergency service point that step (4) are found out is combined into { a ∈ A }, the base selected from these
An advanced headquarter are selected in facility point；Obtain advanced emergency medical command post site selection model after shaking are as follows:
If widijWeighted distance between node i and j；
Target function type (18) indicates each primary care emergency service point to total between advanced emergency medical command post
Weighted distance is minimum；Constraint formula (19) indicates that primary care emergency service point is at least capped primary；Constraint formula (20) indicates only
Primary care emergency service point is assigned to an advanced emergency medical command post；Constraint formula (21) indicates advanced emergency medical commander
Institute's quantity is 1；Constraint formula (22) indicates decision variable xjFor 0-1 integer variable.
Step 6: Nested Genetic Algorithm solves model
Medical emergency facility addressing process is as shown in figure 3, it is specific after Nested Genetic Algorithm used solves shake in this step
Step are as follows:
1, input demand point is alternatively put with facility space length matrix X, the number K of alternative facility point, facility point are covered
The weight vectors Vn of lid radius D and demand point；
2, facility point number P=1:K is selected；
3, when the operation tool box GA calculates selected facility point number, the weighting the smallest Facility location of total distance is used；
If 4, demand for services point distance is greater than facility point service radius D to facility point therewith, the addressing scheme is abandoned；
If 5, demand for services point distance is greater than facility point service radius D to facility point therewith, P=P+1 is enabled, if P > K, it is determined that
The addressing scheme；If P < K, repeatedly step 3-5；
6, selection meets condition and the smallest addressing scheme of equipment point number；Obtain base's emergency medical facility point number,
Position, the corresponding demand point of service and capacity；
7, in primary care emergency service point, the tool box GA is run, selection a little makes the smallest facility of total Weighted distance
Point is advanced emergency medical command post.
Wherein 1-6 is internal layer genetic algorithm, for optimizing quantity and the position of primary care emergency service point, to meet
Medical emergency rescue justice, efficient, all standing, the requirement for the cost that practices every conceivable frugality after shake；7 be outer layer genetic algorithm, in base
Selection one advanced emergency medical command post meets unified management, unified command, coordinated scheduling in layer medical emergency facility point
It is required that.
Some parameters when genetic algorithm used calculates in this step are done as described below:
Fitness function: objective function is designed based on service efficiency, i.e., total Weighted distance is minimum, and constraint is based on side
Journey (12-14).
Parameter coding: requiring to select P facility from the position of N number of alternative facility point inside, in outer layer genetic algorithm,
The space length of this N number of alternative facility point constitutes the matrix of a N × N.
Population quantity: it is 1000 that initial population is all defined in ectonexine genetic algorithm, and maximum reproductive order of generation is 2000,
Elite number of individuals is 50.
Coding form: the present embodiment uses integer coding, because the known variables in structure of problem are integer forms.
Select function: the present embodiment uses elite (elite) selection strategy, which can retain optimum individual and be not involved in down
First cross can will not be destroyed to avoid optimum individual because of crossover operation.
Claims (9)
1. the site selecting method of medical emergency facility after a kind of shake, comprising the following steps:
(1) the alternative point of medical emergency facility after shaking is determined；
(2) according to the concrete condition in region, the influence factor of medical emergency facility Optimizing Site Selection after shake is analyzed；
(3) influence factor determined according to step (2) calculates each influence factor weight using TOPSIS；
(4) weight of the alternative point and each influence factor in step (3) determined according to step (1), with fairness, high efficiency, covers
Lid range is maximum and suitably considers that cost is target, establishes base's emergency medical facility site selection model；
(5) it on the basis of step (4) base emergency medical facility site selection model, establishes after shaking selected by advanced emergency medical commander
Location model；
(6) model in step (4) and step (5) is solved using Nested Genetic Algorithm, determines that primary care emergency is set
Apply quantity and position and the position of advanced emergency medical command post of point set.
2. the site selecting method of medical emergency facility after shake according to claim 1, which is characterized in that in the step (1),
Medical emergency facility is alternatively put after determining shake method particularly includes: using topography and geomorphology, geological disaster, vegetation, water system as broad perspectives
Index to the quantization of each index factor, is classified assignment and assigns weight；Then using the spatial analysis module of ArcGIS to all amounts
Change figure layer and be overlapped analysis, obtaining is suitable for that the highest place of sex index is used as the alternative point of emergency service.
3. the site selecting method of medical emergency facility after shake according to claim 1, which is characterized in that in the step (2),
Influence factor is the density of population, in economic level, traffic convenience degree, disaster-stricken situation, age composition in the population, education level
It is a variety of.
4. the site selecting method of medical emergency facility after shake according to claim 1, which is characterized in that in the step (3),
The calculation method of influence factor weight, comprising the following steps:
A: building original matrix
Equipped with n evaluation object, m evaluation index, initial data can be written as matrix X=(Xij)n×m(1)；Wherein { i ∈ I } generation
The set of all demand points of table；{ j ∈ J } represents the set that emergency service is alternatively put；
B: changing Gao You, low excellent index, normalized in the same direction respectively, and obtaining matrix Z, change is handled in the same direction:
Normalized:
C: optimal, the most bad vector of construction
By changing in the same direction, after normalized, matrix Z=(Z is obtainedij)n×mThat afterwards, each column are maximum, minimum value is constituted is optimal,
Most bad vector is denoted as respectively:
Z+=(ZMax1ZMax2 … ZMaxm) (4)
Z-=(ZMin1ZMin2 … ZMinm) (5)
D: calculate each evaluation object to optimal, most bad vector distance D
The distance of i-th of evaluation object optimal case:
The distance of i-th of evaluation object Worst scheme:
E: the degree of closeness C of each evaluation object and optimal vector is calculatedi, the weight of as each influence factor
5. the site selecting method of medical emergency facility after shake according to claim 1, which is characterized in that in the step (4),
Base's grade emergency medical facility site selection model are as follows:
Ni=j | dij≤S} (13)
Wherein, wi(i=1,2 ... I) are the weight of demand point i；dijFor the distance of the alternative point j of demand point i to emergency service；
widijFor the Weighted distance between demand point i and emergency service alternatively point j；Z is the quantity of emergency service point；NiTo cover demand
The set that point i is alternatively put to all emergency services；S is the maximum distance for the unit time allowing to transport；yjEmergency service is represented for 1
Alternative point j is selected, and is represented otherwise for 0；xijRepresenting demand point i for 1, alternatively point j provides service by emergency service, represents for 0
Otherwise.
6. the site selecting method of medical emergency facility after shake according to claim 1, which is characterized in that in the step (5),
The method for building up of advanced emergency medical command post site selection model after shake are as follows:
A: the target of advanced emergency medical command post site selection model is mainly in view of the total of each base's grade emergency medical facility and adds
Power distance is minimum；
B: assuming that the collection for the primary care emergency service point that step (4) is found out is combined into { a ∈ A }, the primary facility selected from these
An advanced headquarter are selected in point；Obtain advanced emergency medical command post site selection model after shaking are as follows:
If widijWeighted distance between node i and j；
Target function type (17) indicates each primary care emergency service point to total weighting between advanced emergency medical command post
Distance is minimum；Constraint formula (18) indicates that primary care emergency service point is at least capped primary；Constraint formula (19) indicates only to one
A advanced emergency medical command post assigns primary care emergency service point；Constraint formula (20) indicates advanced emergency medical command post number
Amount is 1；Constraint formula (21) indicates decision variable xjFor 0-1 integer variable.
7. according to claim 1, after shake described in 5,6 any one medical emergency facility site selecting method, which is characterized in that institute
It states in step (6), the specific steps that Nested Genetic Algorithm solves the model in step (4) and step (5) are as follows:
A) internal layer genetic algorithm is used to optimize quantity and the position of primary care emergency service point, to meet medical emergency after shake
Rescue justice, efficient, all standing, the requirement for the cost that practices every conceivable frugality；
B) outer layer genetic algorithm is used to select an advanced emergency medical command post in primary care emergency service point, meets system
One management, unified command, the requirement of coordinated scheduling.
8. the site selecting method of medical emergency facility after shake according to claim 7, which is characterized in that the internal layer heredity
Algorithm the following steps are included:
The covering of the number K, facility point of space length matrix X, alternative facility point that a-1, input demand point and facility are alternatively put
The weight vectors Vn of radius D and demand point；
A-2, selected facility point number P=1:K；
When a-3, the operation tool box GA calculate selected facility point number, the weighting the smallest Facility location of total distance is used；
If demand for services point distance is greater than facility point service radius D therewith for a-4, facility point, the addressing scheme is abandoned；
If demand for services point distance is greater than facility point service radius D therewith for a-5, facility point, P=P+1 is enabled, if P > K, it is determined that should
Addressing scheme；If P < K, repeatedly step a-3~a-5；
A-6, selection meet condition and the smallest addressing scheme of equipment point number；Obtain base's emergency medical facility point number, position
The corresponding demand point and capacity set, serviced.
9. the site selecting method of medical emergency facility after shake according to claim 7, which is characterized in that the outer layer heredity
Algorithm, comprising the following steps: in primary care emergency service point, run the tool box GA, selection a little makes total Weighted distance most
Small facility point is advanced emergency medical command post.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810917226.6A CN109102868B (en) | 2018-08-13 | 2018-08-13 | Site selection method for post-earthquake medical emergency facility |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810917226.6A CN109102868B (en) | 2018-08-13 | 2018-08-13 | Site selection method for post-earthquake medical emergency facility |
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| Publication Number | Publication Date |
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| CN109102868A true CN109102868A (en) | 2018-12-28 |
| CN109102868B CN109102868B (en) | 2022-03-15 |
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| CN201810917226.6A Active CN109102868B (en) | 2018-08-13 | 2018-08-13 | Site selection method for post-earthquake medical emergency facility |
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| CN110991704A (en) * | 2019-11-15 | 2020-04-10 | 华中科技大学 | Emergency rescue station site selection and distribution method and system |
| CN111383052A (en) * | 2020-03-04 | 2020-07-07 | 深圳市丰巢科技有限公司 | Intelligent cabinet site selection model modeling method and device, server and storage medium |
| CN111610494A (en) * | 2020-05-27 | 2020-09-01 | 武汉理工大学 | VTS radar configuration signal coverage optimization method |
| CN112232599A (en) * | 2020-11-12 | 2021-01-15 | 河北工程大学 | Public health event emergency medical facility site selection method based on POI data |
| CN113076621A (en) * | 2020-09-04 | 2021-07-06 | 中移(上海)信息通信科技有限公司 | Reference station network address selection method and device, electronic equipment and computer storage medium |
| CN114550888A (en) * | 2022-02-17 | 2022-05-27 | 湖北工业大学 | Community emergency medical cabin and configuration optimization method and system thereof |
| CN115274084A (en) * | 2022-08-09 | 2022-11-01 | 河南大学 | Site selection method for emergency medical service facilities in mountainous villages |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110991704A (en) * | 2019-11-15 | 2020-04-10 | 华中科技大学 | Emergency rescue station site selection and distribution method and system |
| CN110991704B (en) * | 2019-11-15 | 2022-04-01 | 华中科技大学 | Emergency rescue station site selection and distribution method and system |
| CN111383052A (en) * | 2020-03-04 | 2020-07-07 | 深圳市丰巢科技有限公司 | Intelligent cabinet site selection model modeling method and device, server and storage medium |
| CN111610494A (en) * | 2020-05-27 | 2020-09-01 | 武汉理工大学 | VTS radar configuration signal coverage optimization method |
| CN111610494B (en) * | 2020-05-27 | 2022-08-19 | 武汉理工大学 | VTS radar configuration signal coverage optimization method |
| CN113076621A (en) * | 2020-09-04 | 2021-07-06 | 中移(上海)信息通信科技有限公司 | Reference station network address selection method and device, electronic equipment and computer storage medium |
| CN112232599A (en) * | 2020-11-12 | 2021-01-15 | 河北工程大学 | Public health event emergency medical facility site selection method based on POI data |
| CN114550888A (en) * | 2022-02-17 | 2022-05-27 | 湖北工业大学 | Community emergency medical cabin and configuration optimization method and system thereof |
| CN115274084A (en) * | 2022-08-09 | 2022-11-01 | 河南大学 | Site selection method for emergency medical service facilities in mountainous villages |
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