技术领域technical field
本发明属于医疗救援技术领域，涉及一种灾害发生后的应急救援选址方法，具体涉及一种考虑灾后受灾点需求紧迫性、最大化受灾点需求满足率之和的最优选址方法。The invention belongs to the technical field of medical rescue, relates to an emergency rescue site selection method after a disaster occurs, and in particular relates to an optimal site selection method that considers the urgency of post-disaster demand and maximizes the sum of the demand satisfaction rate of the disaster site.
背景技术Background technique
随着经济的快速发展，人类也给生态环境带来了一定程度的破坏，自然灾害时有发生，这反过来也给人类的生命财产安全造成了严重的威胁。然而，在灾害发生初期，可供分配的医疗资源往往是有限的，并且各个地区受灾情况和伤势轻重不易判断，在这多种因素的共同影响之下，考虑多个因素的医疗救援点的选址问题研究就显得尤为重要了。将医疗救援点定址在最优的位置，不仅可以降低运输成本，增大应急物资的时效性，更可以缩短救援时间和避免更大的损失，对于减少人员伤亡、保证人民的生命安全、维护社会的和谐稳定具有重大的意义。With the rapid economic development, human beings have also brought a certain degree of damage to the ecological environment, and natural disasters have occurred from time to time, which in turn has also caused serious threats to the safety of human life and property. However, in the early stage of a disaster, the medical resources available for distribution are often limited, and it is not easy to judge the severity of the disaster and injuries in various regions. The research on the location problem is particularly important. Locating the medical rescue point at the optimal location can not only reduce the transportation cost, increase the timeliness of emergency materials, but also shorten the rescue time and avoid greater losses. of harmony and stability is of great significance.
近年来，国内外也有很多学者对配送中心选址进行了研究。相对于国外60多年的研究历史，我国学者从2003年才开始正式关注，起步相对较晚。医疗救援点的选址可归为医疗配送中心选址问题一类，在这方面，学者们提出了层级选址模型、连续选址模型、多目标的规划模型等。其中，连续选址模型适用于物流配送中心的地点可以选在平面上的任意点，典型方法代表是重心法；离散模型选址方法适用于物流配送中心的备选地点是有限的几个场所，典型方法代表是整数或混合整数规划法等；张玲等人根据分级的原则，分析两种级别下各个灾区应急物资的需求，建立了一个多需求点、多救助点多目标的规划模型。实际上受灾点的受灾程度是不一样的，这些模型对受灾点的需求紧迫性无分级或者分级较少，对于受灾点需求紧迫性差距较大的灾害是不适用的。In recent years, many scholars at home and abroad have also conducted research on the location of distribution centers. Compared with more than 60 years of research history abroad, Chinese scholars began to pay attention to it in 2003, starting relatively late. The location selection of medical rescue points can be classified into the problem of location selection of medical distribution centers. In this regard, scholars have proposed hierarchical location models, continuous location models, and multi-objective planning models. Among them, the continuous location model is suitable for the location of the logistics distribution center and can be selected at any point on the plane, and the typical method is the center of gravity method; the discrete model location method is suitable for a limited number of locations for the logistics distribution center. Typical methods are integer or mixed integer programming methods. Zhang Ling et al. analyzed the needs of emergency supplies in each disaster area at two levels according to the principle of classification, and established a multi-demand point, multi-relief point and multi-objective planning model. In fact, the degree of damage of the disaster-stricken points is different. These models have no classification or less classification of the demand urgency of the disaster-stricken points, and are not applicable to the disasters with a large gap in the demand urgency of the disaster-stricken points.
总的来说，我国应急救援配送中心的选址问题研究已经取得了一定的突破与进步，但是还有很多实际问题考虑不全面。针对当前应急救援选址研究的不足与需求，迫近需要建立一个考虑受灾点多种分级的模型，从而保证灾害发生后可以及时配送医疗物资，减少人员的伤亡、维护社会的稳定。In general, some breakthroughs and progress have been made in the research on the location of emergency rescue distribution centers in my country, but there are still many practical problems that are not fully considered. In view of the shortcomings and needs of current emergency rescue site selection research, it is imminent to establish a model that considers multiple classifications of disaster-stricken points, so as to ensure that medical supplies can be distributed in time after a disaster occurs, reduce casualties, and maintain social stability.
发明内容SUMMARY OF THE INVENTION
本发明结合受灾点需求紧迫性不同的特点，弥补常规平均向受灾点分配医疗物资的缺陷，提供了一种考虑灾后受灾点需求紧迫性、最大化受灾点需求满足率之和的最优选址方法，用于解决灾后医疗物资利用效率不高的问题，最大程度满足各受灾点的医疗物资需求，减少灾害的损失，维护人们的生命财产安全。The invention combines the characteristics of different urgency of needs of disaster-stricken points, makes up for the defect of conventionally distributing medical supplies to disaster-stricken points on an average basis, and provides an optimal location that considers the urgency of demand of disaster-stricken points after a disaster and maximizes the sum of the demand satisfaction rate of disaster-stricken points The method is used to solve the problem of low utilization efficiency of medical materials after a disaster, meet the medical materials needs of each disaster-stricken point to the greatest extent, reduce the loss of disasters, and maintain the safety of people's lives and properties.
本发明所采用的技术方案是：一种考虑受灾点需求紧迫性的医疗救援点选址方法，假设灾害发生后，某区域内出现了I个受灾点，n个备选临时救援点，各受灾点受灾程度、需求紧迫程度不同，各受灾点的物资总需求大于各救援点的物资总供给，依据满足率最大及救助总时间最小，从n个备选临时救援点中选择出m个最优救援点；I∈Z，n∈Z，m≤n；The technical scheme adopted in the present invention is: a method for selecting a location for a medical rescue point considering the urgency of the needs of the disaster-affected point, assuming that after the disaster occurs, there is one disaster-affected point in a certain area, n alternative temporary rescue points, each disaster-affected point The degree of disaster and the urgency of demand vary from point to point. The total material demand of each disaster point is greater than the total material supply of each rescue point. According to the maximum satisfaction rate and the minimum total rescue time, m optimal rescue points are selected from n alternative temporary rescue points. rescue point; I∈Z, n∈Z, m≤n;
其特征在于，所述方法包括以下步骤：It is characterised in that the method comprises the following steps:
步骤1：确定备选救援点的相关参数，包括有效备选救援点的数量、各备选救援点医疗物资数量；所述有效备选救援点是能提供物资，且不会损失其他对象的利益的救援点；Step 1: Determine the relevant parameters of the candidate rescue points, including the number of valid candidate rescue points and the quantity of medical supplies at each candidate rescue point; the effective candidate rescue points can provide supplies without losing the interests of other objects rescue point;
步骤2：计算各受灾点的需求紧迫性；Step 2: Calculate the urgency of demand for each disaster site;
根据受灾地区受灾属性进行区域划分，统计各受灾点的受灾指标信息，并利用层次分析法分析五个受灾指标在该受灾点需求紧迫性Rj中所占的权重；According to the disaster attribute of the disaster area, the area is divided, the disaster index information of each disaster point is counted, and the weight of the five disaster indexes in the demand urgency Rj of the disaster point is analyzed by the analytic hierarchy process;
所述受灾指标信息包括人员受伤程度uj1、建筑物受损程度uj2、道路受损程度uj3、备灾能力指数uj4和灾害衍生可能性uj5；The disaster-affected index information includes the degree of personal injury uj1 , the degree of damage to buildings uj2 , the degree of damage to roads uj3 , the disaster preparedness index uj4 and the probability of derivation of disasters uj5 ;
步骤3：通过GIS地图软件判断各受灾点中心到各备选救援点的距离dij；Step 3: Determine the distance dij from the center of each disaster point to each candidate rescue point by GIS map software;
步骤4：建立包括备选救援点地理坐标、受灾点地理坐标、救援点可提供医疗物资数量、受灾点所需要医疗物资数量的点信息索引表；Step 4: Establish a point information index table including the geographical coordinates of the candidate rescue points, the geographical coordinates of the disaster-affected point, the quantity of medical supplies that can be provided by the rescue point, and the quantity of medical supplies required by the disaster-affected point;
步骤5：根据实际路网状况确定任意一个受灾点和救援点之间的路段是否联通，构建可联通的路段覆盖矩阵；Step 5: Determine whether the road section between any disaster-affected point and the rescue point is connected according to the actual road network conditions, and construct a road section coverage matrix that can be connected;
步骤6：利用考虑灾后受灾点需求紧迫性的医疗救援点选址模型来进行求解，得出最优的若干医疗救援点，计算出各次输送的医疗物资分配量。Step 6: Use the location model of medical rescue points considering the urgency of the post-disaster demand to solve the problem, obtain several optimal medical rescue points, and calculate the distribution of medical supplies for each delivery.
由于自然灾害具有突发性、不确定性、严重性和衍生性等特点，当地的应急管理部门必须及时开展医疗救援以防止给人们带来更为严重的伤害。医疗救援的迅速性就意味着我们不能把物资运送费用放在第一位，默认医疗物资运送均是一样快的速度，所以该技术方案存在没有考虑不同路线运送速度不同的缺陷。本发明提供了一种基于“需求紧迫性”、“满足率”以及“时间距离”的医疗救援点选址方案，更加适用于地震、洪涝等受灾范围广的自然灾害。本发明综合考虑受灾点人员受伤程度、建筑物受损程度、道路受损程度、备灾能力指数和灾害衍生可能性五大因素确定受灾点对于医疗物资的需求紧迫性，同时对每个受灾点的需求满足率进行加权最大化，使整个灾害的医疗救援更加的有效。Due to the characteristics of suddenness, uncertainty, severity and derivation of natural disasters, local emergency management departments must carry out medical rescue in a timely manner to prevent more serious harm to people. The rapidity of medical assistance means that we cannot put the cost of material delivery in the first place. By default, medical supplies are delivered at the same speed. Therefore, this technical solution has the defect of not considering the different delivery speeds of different routes. The invention provides a site selection scheme for medical rescue points based on "urgency of demand", "satisfaction rate" and "time distance", which is more suitable for natural disasters such as earthquakes and floods with a wide range of disasters. The present invention comprehensively considers five factors including the degree of injury of personnel, the degree of damage to buildings, the degree of road damage, the index of disaster preparedness and the probability of derivation of disasters to determine the urgency of the demand for medical supplies at the disaster-affected point, and at the same time, the The weighted maximization of the demand satisfaction rate makes the medical rescue of the entire disaster more effective.
附图说明Description of drawings
图1为本发明实施例的流程图；1 is a flowchart of an embodiment of the present invention;
图2为本发明实施例的灾害地区图例；FIG. 2 is an example of a disaster area according to an embodiment of the present invention;
图3为图2中灾害区域对应构建的救灾网络图，实心三角形表示受灾点中心，圆形表示备选救援点中心。Figure 3 is a diagram of a disaster relief network corresponding to the disaster area in Figure 2. The solid triangle represents the center of the disaster-affected point, and the circle represents the center of the alternative rescue point.
具体实施方式Detailed ways
为了便于本领域普通技术人员理解和实施本发明，下面结合附图及实施例对本发明作进一步的详细描述，应当理解，此处所描述的实施示例仅用于说明和解释本发明，并不用于限定本发明。In order to facilitate the understanding and implementation of the present invention by those of ordinary skill in the art, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the embodiments described herein are only used to illustrate and explain the present invention, but not to limit it. this invention.
首先，对本发明的救援点选址的方法的前提条件及涉及的部分名称进行解释如下：First, the preconditions and the names of the parts involved in the method for selecting the location of the rescue point of the present invention are explained as follows:
1：本规划方法是在已知备选救援点选址的情况下通过确保各受灾点需求满足率最大选出若干的最佳救援点。1: This planning method is to select a number of optimal rescue points by ensuring the maximum demand satisfaction rate of each disaster-affected point when the location of the alternative rescue points is known.
2：基于突发灾害的特点，本方法摒弃传统的平均分配原则，以受灾点需求满足率、点距离为度量来对医疗物资进行相对公平的分配。2: Based on the characteristics of sudden disasters, this method abandons the traditional principle of equal distribution, and distributes medical supplies relatively fairly based on the demand satisfaction rate and point distance of disaster-affected points.
3：本方法采用图的存储结构表示道路网，用实心三角形表示受灾点，用圆形表示备选救援点，把存在的主要道路以实线的方式连接表示道路网。3: In this method, the storage structure of the graph is used to represent the road network, the solid triangles are used to represent the disaster-affected points, the circles are used to represent the alternative rescue points, and the existing main roads are connected by solid lines to represent the road network.
4：为方便迅速计算，此处采用点距离来反映时间距离，并用加权点距离最小的方式对医疗物资配送加以约束。4: In order to facilitate and quickly calculate, the point distance is used here to reflect the time distance, and the distribution of medical materials is constrained by the method with the smallest weighted point distance.
请见图1，本发明提供的一种考虑受灾点需求紧迫性的医疗救援点选址方法，假设灾害发生后，某区域内出现了I个受灾点，n个备选临时救援点，各受灾点受灾程度、需求紧迫程度不同，各受灾点的物资总需求大于各救援点的物资总供给，依据满足率最大及救助总时间最小，从n个备选临时救援点中选择出m个最优救援点；I∈Z，n∈Z，m≤n；Please see Fig. 1, a kind of medical rescue point location method that considers the urgency of the disaster point demand provided by the present invention, suppose that after the disaster occurs, there is 1 disaster point in a certain area, n alternate temporary rescue points, each disaster The degree of disaster and the urgency of demand vary from point to point. The total material demand of each disaster point is greater than the total material supply of each rescue point. According to the maximum satisfaction rate and the minimum total rescue time, m optimal rescue points are selected from n alternative temporary rescue points. rescue point; I∈Z, n∈Z, m≤n;
包括以下步骤：Include the following steps:
步骤1：确定备选救援点的相关参数，包括有效备选救援点的数量、各备选救援点医疗物资数量；有效备选救援点是能提供物资，且不会损失其他对象的利益的救援点；Step 1: Determine the relevant parameters of the candidate rescue points, including the number of valid candidate rescue points and the quantity of medical supplies in each candidate rescue point; the effective candidate rescue point is the rescue that can provide supplies without losing the interests of other objects point;
请见图2，为本实施例中灾害地区图例，假设该地区发生洪涝灾害；请见图3，为灾害区域对应构建的救灾网络图，实心三角形表示受灾点中心，圆形表示备选救援点中心；在灾害发生地区，选择医院和医疗物资储存点为备选救援点，且保证该区域不偏僻，容易进行医疗输送。备选救援点医疗物资有数据统计，灾害应急管理指挥小组应立刻联系备选救援点负责人，确定他们的医疗物资储备量。救援点i的医疗物资储备数量表示为：Please refer to Figure 2, which is an example of the disaster area in this embodiment, assuming that flood disaster occurs in this area; please refer to Figure 3, which is a disaster relief network diagram corresponding to the disaster area. The solid triangle represents the center of the disaster-affected point, and the circle represents the alternative rescue point Center; in the disaster area, select hospitals and medical material storage points as alternative rescue points, and ensure that the area is not remote and easy to carry out medical transportation. There are statistics on the medical supplies of the alternative rescue points, and the disaster emergency management command team should immediately contact the person in charge of the alternative rescue points to determine their medical supplies reserves. The quantity of medical supplies at rescue point i is expressed as:
si＝{s1,s2,s3…|i∈Z}si ={s1 ,s2 ,s3 …|i∈Z}
步骤2：计算各受灾点的需求紧迫性；Step 2: Calculate the urgency of demand for each disaster site;
根据受灾地区受灾属性进行区域划分，统计各受灾点的受灾指标信息，并利用层次分析法分析五个受灾指标在该受灾点需求紧迫性Rj中所占的权重；According to the disaster attribute of the disaster area, the area is divided, the disaster index information of each disaster point is counted, and the weight of the five disaster indexes in the demand urgency Rj of the disaster point is analyzed by the analytic hierarchy process;
受灾指标信息包括人员受伤程度uj1、建筑物受损程度uj2、道路受损程度uj3、备灾能力指数uj4和灾害衍生可能性uj5；The disaster index information includes injury degree uj1 , building damage degree uj2 , road damage degree uj3 , disaster preparedness index uj4 and disaster derivation possibility uj5 ;
需求紧迫性Rj为：The urgency of demand Rj is:
Rj＝αuj1+βuj2+θuj3+γuj4+δuj5；Rj =αuj1 +βuj2 +θuj3 +γuj4 +δuj5 ;
uj2＝bj，uj2 =bj ,
uj4＝dj，uj4 =dj ,
uj5＝ej，uj5 =ej ,
其中，α、β、θ、γ、δ分别表示人员受伤程度、建筑物受损程度、道路受损程度、备灾能力指数和灾害衍生可能性这五个方面因素在受灾点需求紧迫程度中所占的权重，α+β+θ+γ+δ＝1；受灾点j的受伤人数、建筑物受损程度、道路受损面积、备灾能力指数和灾害衍生可能性分别表示为aj、bj、cj、dj和ej，uji∈[0,1]，i＝1,2,3,4,5，j∈Z。Among them, α, β, θ, γ, and δ represent the degree of human injury, the degree of damage to buildings, the degree of road damage, the disaster preparedness index and the probability of disaster derivation. α + β + θ + γ + δ = 1; the number of injured people, the degree of damage to buildings, the damaged area of roads, the index of disaster preparedness and the possibility of disaster derivation at the disaster site j are expressed as aj , b respectivelyj , cj , dj and ej , uji ∈ [0,1], i=1,2,3,4,5, j∈Z.
本实施例中，受灾点代表(下面简称为受灾点)则是根据地理和人口进行选取的，地理接近且人口较集中的地区就会被选取为受灾点代表，这里主要以大学、住宅校区为代表。受灾后受灾单位应立即统计本单位的受灾情况，包括受灾点受伤人数、建筑物受损程度、道路受损程度及备灾能力指数等，气象部门也要将特定受灾点的灾害衍生可能性进行科学估测并上报应急救援指挥小组。In this embodiment, the representative of the disaster-affected point (hereinafter referred to as the disaster-affected point) is selected according to geography and population, and the geographically close and densely populated area will be selected as the representative of the disaster-affected point. represent. After the disaster, the disaster-stricken unit should immediately count the disaster situation of the unit, including the number of injured people, the degree of damage to buildings, the degree of road damage, and the disaster preparedness index. Scientific estimation and reporting to the emergency rescue command team.
结合此次武汉洪涝灾害发生地的特性，应急救援指挥小组中的专家们对这五个指标权重进行赋值打分，并利用层次分析法进行计算需求紧迫性Rj，通过计算得出α、β、θ、γ、δ的值分别为0.1397、0.2095、0.3142、0.1571、0.1796。Combined with the characteristics of the flood disaster in Wuhan, experts in the emergency rescue command team assigned and scored the weights of these five indicators, and used the analytic hierarchy process to calculate the urgency of demand Rj , and obtained α, β, The values of θ, γ, and δ are 0.1397, 0.2095, 0.3142, 0.1571, and 0.1796, respectively.
受灾点j的受伤人数、建筑物受损程度、道路受损面积、备灾能力指数和灾害衍生可能性分别表示为aj、bj、cj、dj和ej，则统计出受灾点j的受灾情况数据表示为：The number of injured persons, the degree of damage to buildings, the damaged area of roads, the disaster preparedness index and the probability of disaster derivation are expressed as aj , bj , cj , dj and ej at the disaster-affected point j, respectively. The disaster data of j is expressed as:
aj＝{a1,a2,a3…|j∈Z}aj ={a1 ,a2 ,a3 …|j∈Z}
bj＝{b1,b2,b3…|j∈Z}bj ={b1 ,b2 ,b3 …|j∈Z}
cj＝{c1,c2,c3…|j∈Z}cj ={c1 ,c2 ,c3 …|j∈Z}
dj＝{d1,d2,d3…|j∈Z}dj ={d1 ,d2 ,d3 …|j∈Z}
ej＝{e1,e2,e3…|j∈Z}ej ={e1 ,e2 ,e3 …|j∈Z}
然后，这些数据要经过归一化处理得出这五个指标因素的指数值，即：These data are then normalized to obtain index values for these five index factors, namely:
uj2＝bj，j∈Zuj2 =bj , j∈Z
uj4＝dj，j∈Zuj4 =dj , j∈Z
uj5＝ej，j∈Zuj5 = ej , j∈Z
经过这些计算可知Rj为一常数项，便于开展下面的求解模型。After these calculations, it can be known that Rj is a constant term, which is convenient to carry out the following solution model.
步骤3：通过GIS地图软件判断各受灾点中心到各备选救援点的距离dij；Step 3: Determine the distance dij from the center of each disaster point to each candidate rescue point by GIS map software;
请见图3，各受灾点中心到各备选救援点的距离dij用于预测在各救援点与各受灾点之间运送物资时的时间，由于灾后的救援均为人道主义援救，不计成本，故认为各条路径均可以保证最快速度送达，速度相同。See Figure 3. The distance dij from the center of each disaster point to each alternative rescue point is used to predict the time when materials are delivered between each rescue point and each disaster point. Since the post-disaster rescue is humanitarian assistance, the cost is not considered , so it is considered that each path can guarantee the fastest delivery, and the speed is the same.
具体表示为：Specifically expressed as:
dij＝{d11,d12,d13…|i∈Z,j∈Z}dij ={d11 ,d12 ,d13 …|i∈Z,j∈Z}
步骤4：建立包括备选救援点地理坐标、受灾点地理坐标、救援点可提供医疗物资数量、受灾点所需要医疗物资数量的点信息索引表；Step 4: Establish a point information index table including the geographical coordinates of the candidate rescue points, the geographical coordinates of the disaster-affected point, the quantity of medical supplies that can be provided by the rescue point, and the quantity of medical supplies required by the disaster-affected point;
本实施例中，使用现有的SuperMap自然灾害移动管理系统等系统软件，将以上数据纳入应急调配数据库，建立起包括备选救援点地理坐标、受灾点地理坐标、救援点可提供医疗物资数量、受灾点所需要医疗物资数量的点信息索引表。In this embodiment, using the existing SuperMap natural disaster mobile management system and other system software, the above data is included in the emergency deployment database, and the establishment includes the geographical coordinates of the candidate rescue point, the geographical coordinates of the disaster-affected point, the number of medical supplies that can be provided by the rescue point, Point information index table of the quantity of medical supplies needed by the disaster-stricken points.
步骤5：根据实际路网状况确定任意一个受灾点和救援点之间的路段是否联通，构建可联通的路段覆盖矩阵；Step 5: Determine whether the road section between any disaster-affected point and the rescue point is connected according to the actual road network conditions, and construct a road section coverage matrix that can be connected;
本实施例中，根据实际路网状况确定任意一个受灾点和救援点之间的路段是否联通，例如两个点之间存在路断障碍，且由于距离和区域大小限制无法派送直升机、货车等交通工具，则需要把该两点之间的运输路段去掉，最终构建一个可联通的路段覆盖矩阵。In this embodiment, it is determined whether the road section between any disaster-affected point and the rescue point is connected according to the actual road network conditions. For example, there is a road disconnection obstacle between the two points, and due to the limitation of distance and area size, transportation such as helicopters and trucks cannot be dispatched. tool, the transportation section between the two points needs to be removed, and finally a connectable section coverage matrix is constructed.
步骤6：利用考虑灾后受灾点需求紧迫性的医疗救援点选址模型来进行求解，得出最优的若干医疗救援点，计算出各次输送的医疗物资分配量；Step 6: Use the medical rescue point location model considering the urgency of the post-disaster demand to solve the problem, obtain several optimal medical rescue points, and calculate the distribution of medical materials for each delivery;
本实施例中，考虑灾后受灾点需求紧迫性的医疗救援点选址模型，其目标函数为：In this embodiment, the objective function of the location model of the medical rescue point considering the urgency of the post-disaster demand is:
其中，dij表示救援点i到受灾点j的最短道路距离；xij表示救援点i给受灾点j是否有配送；yi表示是否选择救援点i；Qj表示受灾点j的医疗物资需求量；sij表示救援点i运到受灾点j的物资量；σ表示受灾点j的满足率；i＝1,2,3,4,5；Among them, dij represents the shortest road distance from the rescue point i to the disaster point j; xij represents whether the rescue point i is delivered to the disaster point j; yi represents whether the rescue point i is selected; Qj represents the medical material demand of the disaster point j sij represents the amount of materials delivered from rescue point i to disaster-affected point j; σ represents the satisfaction rate of disaster-affected point j; i=1, 2, 3, 4, 5;
目标函数的约束条件：Constraints of the objective function:
sij≥0；sij ≥ 0;
xij≤yi；xij ≤yi ;
最终运用Matlab计算得最优解集，最优解集里元素的个数即为m的数值，相应救援点也可具体确定。Finally, Matlab is used to calculate the optimal solution set. The number of elements in the optimal solution set is the value of m, and the corresponding rescue points can also be specifically determined.
需要说明的是，个人查阅数据的局限性使得无法取得受灾点和救援点的具体数据，因此这里数据采用字母表示，不影响最终的模型结果。It should be noted that the limitation of personal access to data makes it impossible to obtain specific data of disaster-affected points and rescue points, so the data here are represented by letters and will not affect the final model results.
应当理解的是，本说明书未详细阐述的部分均属于现有技术。It should be understood that the parts not described in detail in this specification belong to the prior art.
应当理解的是，上述针对较佳实施例的描述较为详细，并不能因此而认为是对本发明专利保护范围的限制，本领域的普通技术人员在本发明的启示下，在不脱离本发明权利要求所保护的范围情况下，还可以做出替换或变形，均落入本发明的保护范围之内，本发明的请求保护范围应以所附权利要求为准。It should be understood that the above description of the preferred embodiments is relatively detailed, and therefore should not be considered as a limitation on the protection scope of the patent of the present invention. In the case of the protection scope, substitutions or deformations can also be made, which all fall within the protection scope of the present invention, and the claimed protection scope of the present invention shall be subject to the appended claims.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910283226.XACN110046760B (en) | 2019-04-10 | 2019-04-10 | Medical rescue point addressing method considering urgency of disaster-affected point demand |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910283226.XACN110046760B (en) | 2019-04-10 | 2019-04-10 | Medical rescue point addressing method considering urgency of disaster-affected point demand |
| Publication Number | Publication Date |
|---|---|
| CN110046760Atrue CN110046760A (en) | 2019-07-23 |
| CN110046760B CN110046760B (en) | 2022-06-14 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910283226.XAActiveCN110046760B (en) | 2019-04-10 | 2019-04-10 | Medical rescue point addressing method considering urgency of disaster-affected point demand |
| Country | Link |
|---|---|
| CN (1) | CN110046760B (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110779529A (en)* | 2019-11-21 | 2020-02-11 | 南京信息工程大学 | A forest disaster emergency command and dispatch system based on big data and cloud computing |
| CN112613830A (en)* | 2021-01-06 | 2021-04-06 | 中国人民解放军陆军勤务学院 | Material storage center site selection method |
| CN112965528A (en)* | 2021-02-22 | 2021-06-15 | 广东电网有限责任公司 | Rescue strategy determination method, device, equipment and storage medium for disaster-affected point |
| CN112990577A (en)* | 2021-03-16 | 2021-06-18 | 昆明理工大学 | Mine accident emergency rescue dynamic scheduling modeling method integrating demand satisfaction and disaster victims loss |
| CN113159397A (en)* | 2021-03-31 | 2021-07-23 | 上海城市地理信息系统发展有限公司 | Disaster relief material pre-storage management method and device and electronic equipment |
| CN114707745A (en)* | 2022-04-19 | 2022-07-05 | 国家能源投资集团有限责任公司 | Resource allocation method, system, storage medium and electronic equipment |
| CN114819699A (en)* | 2022-05-12 | 2022-07-29 | 国网智能电网研究院有限公司 | Resource allocation method and device and electronic equipment |
| CN115619064A (en)* | 2022-12-16 | 2023-01-17 | 南方科技大学 | Rescue plan formulation method, device, equipment and storage medium |
| CN116013489A (en)* | 2023-03-27 | 2023-04-25 | 中国人民解放军总医院 | Intelligent auxiliary method and system for aviation medical emergency rescue |
| CN118278607A (en)* | 2024-03-25 | 2024-07-02 | 中国自然资源航空物探遥感中心 | Disaster relief material reserve warehouse location method and device based on natural disasters |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090182575A1 (en)* | 2008-01-11 | 2009-07-16 | General Electric Company | System and method to manage a workflow in delivering healthcare |
| CN105787595A (en)* | 2016-02-29 | 2016-07-20 | 泰华智慧产业集团股份有限公司 | Emergency logistic transfer station site selection method based on improved ant colony algorithm |
| CN107766983A (en)* | 2017-10-27 | 2018-03-06 | 东南大学 | A kind of method to set up of track traffic station emergency management and rescue parking point |
| US20180089377A1 (en)* | 2016-09-29 | 2018-03-29 | International Business Machines Corporation | System, method and computer program product for dispatching of medical emergencies and wait time control |
| CN108229741A (en)* | 2017-12-30 | 2018-06-29 | 南京航空航天大学 | A kind of pre- site selecting method of facility point based on air-ground coordination medical aid |
| CN108428024A (en)* | 2018-06-08 | 2018-08-21 | 重庆科技学院 | Unconventional accident emergency resources Decision of Allocation optimization method under uncertain information |
| CN108717504A (en)* | 2018-05-28 | 2018-10-30 | 上海市地震局 | A kind of earthquake emergency rescue model and method based on Disaster degree |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090182575A1 (en)* | 2008-01-11 | 2009-07-16 | General Electric Company | System and method to manage a workflow in delivering healthcare |
| CN105787595A (en)* | 2016-02-29 | 2016-07-20 | 泰华智慧产业集团股份有限公司 | Emergency logistic transfer station site selection method based on improved ant colony algorithm |
| US20180089377A1 (en)* | 2016-09-29 | 2018-03-29 | International Business Machines Corporation | System, method and computer program product for dispatching of medical emergencies and wait time control |
| CN107766983A (en)* | 2017-10-27 | 2018-03-06 | 东南大学 | A kind of method to set up of track traffic station emergency management and rescue parking point |
| CN108229741A (en)* | 2017-12-30 | 2018-06-29 | 南京航空航天大学 | A kind of pre- site selecting method of facility point based on air-ground coordination medical aid |
| CN108717504A (en)* | 2018-05-28 | 2018-10-30 | 上海市地震局 | A kind of earthquake emergency rescue model and method based on Disaster degree |
| CN108428024A (en)* | 2018-06-08 | 2018-08-21 | 重庆科技学院 | Unconventional accident emergency resources Decision of Allocation optimization method under uncertain information |
| Title |
|---|
| DAQIANG CHEN等: "Urgency evaluation of emergency demand in emergency logistics operation based on FAHP", 《IEEE CONFERENCE ANTHOLOGY》* |
| 孙昌玖 等: "考虑横向转运的震后应急物资协同调度研究", 《武汉理工大学学报（信息与管理工程版）》* |
| 王莉芳: "基于组合赋权与灰色改进TOPSIS方法的受灾点应急物质需求紧迫性分级评价", 《安全与环境工程》* |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110779529A (en)* | 2019-11-21 | 2020-02-11 | 南京信息工程大学 | A forest disaster emergency command and dispatch system based on big data and cloud computing |
| CN112613830A (en)* | 2021-01-06 | 2021-04-06 | 中国人民解放军陆军勤务学院 | Material storage center site selection method |
| CN112613830B (en)* | 2021-01-06 | 2023-05-26 | 中国人民解放军陆军勤务学院 | Material reserve center site selection method |
| CN112965528A (en)* | 2021-02-22 | 2021-06-15 | 广东电网有限责任公司 | Rescue strategy determination method, device, equipment and storage medium for disaster-affected point |
| CN112965528B (en)* | 2021-02-22 | 2023-06-30 | 广东电网有限责任公司 | Rescue strategy determination method, device and equipment for disaster points and storage medium |
| CN112990577B (en)* | 2021-03-16 | 2022-07-26 | 昆明理工大学 | Mine accident emergency rescue dynamic scheduling modeling method integrating demand satisfaction and disaster victims loss |
| CN112990577A (en)* | 2021-03-16 | 2021-06-18 | 昆明理工大学 | Mine accident emergency rescue dynamic scheduling modeling method integrating demand satisfaction and disaster victims loss |
| CN113159397A (en)* | 2021-03-31 | 2021-07-23 | 上海城市地理信息系统发展有限公司 | Disaster relief material pre-storage management method and device and electronic equipment |
| CN114707745A (en)* | 2022-04-19 | 2022-07-05 | 国家能源投资集团有限责任公司 | Resource allocation method, system, storage medium and electronic equipment |
| CN114819699A (en)* | 2022-05-12 | 2022-07-29 | 国网智能电网研究院有限公司 | Resource allocation method and device and electronic equipment |
| CN115619064A (en)* | 2022-12-16 | 2023-01-17 | 南方科技大学 | Rescue plan formulation method, device, equipment and storage medium |
| CN116013489A (en)* | 2023-03-27 | 2023-04-25 | 中国人民解放军总医院 | Intelligent auxiliary method and system for aviation medical emergency rescue |
| CN118278607A (en)* | 2024-03-25 | 2024-07-02 | 中国自然资源航空物探遥感中心 | Disaster relief material reserve warehouse location method and device based on natural disasters |
| Publication number | Publication date |
|---|---|
| CN110046760B (en) | 2022-06-14 |
| Publication | Publication Date | Title |
|---|---|---|
| CN110046760B (en) | Medical rescue point addressing method considering urgency of disaster-affected point demand | |
| Gu et al. | Medical relief shelter location problem with patient severity under a limited relief budget | |
| Pérez-Galarce et al. | An optimization model for the location of disaster refuges | |
| Sun et al. | A robust optimization model for location-transportation problem of disaster casualties with triage and uncertainty | |
| CN115577900A (en) | Emergency rescue scheduling recommendation method, system and storage medium | |
| CN107679650A (en) | It is a kind of that the emergency materials method for optimizing scheduling rescued a little is had more towards how disaster-stricken point | |
| CN116128322B (en) | Interactive emergency decision-making method for flood disaster agents in complex urban geographical scenes | |
| Hajibabaee et al. | Earthquake risk assessment in urban fabrics based on physical, socioeconomic and response capacity parameters (a case study: Tehran city) | |
| CN109063949B (en) | Chemical industry park centralized area emergency material allocation method based on ultra-network | |
| CN104504544B (en) | A kind of decision-making technique of uncertain emergency materials distribution | |
| Paul et al. | Models for hospital location and capacity allocation for an area prone to natural disasters | |
| Xu et al. | Global optimization for multi-stage construction of rescue units in disaster response | |
| CN107480915A (en) | A kind of cloud model URBAN EARTHQUAKE endangers methods of risk assessment, equipment and storage device | |
| CN115796520A (en) | Emergency resource matching analysis method and device based on multi-source scene element driving | |
| Ghasemi et al. | Estimation of relief supplies demands through fuzzy inference system in earthquake condition | |
| CN112990577A (en) | Mine accident emergency rescue dynamic scheduling modeling method integrating demand satisfaction and disaster victims loss | |
| Limongelli et al. | The value of visual inspections for emergency management of bridges under seismic hazard | |
| Talebi et al. | Bi-objective model for ambulance routing for disaster response by considering priority of patients | |
| Shadkam et al. | Prioritization of earthquake relief using a hybrid two-phase approach | |
| Yang et al. | MAS‐Based Interaction Simulation within Asymmetric Information on Emergency Management of Urban Rainstorm Disaster | |
| Kusumastuti et al. | Modeling facility locations for relief logistics in Indonesia | |
| CN105809370A (en) | Scheduling method of accident loss service staff | |
| CN117479136A (en) | Emergency rescue plan acquisition method, device and equipment based on mobile phone signaling | |
| Nasrollahi et al. | Evacuation-based design of urban regions for earthquake disaster | |
| Chiou et al. | An integrated multi‐objective model to determine the optimal rescue path and traffic controlled arcs for disaster relief operations under uncertainty environments |
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |