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CN113888039B - Smart water comprehensive information management system and method based on big data - Google Patents

Smart water comprehensive information management system and method based on big data Download PDF

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CN113888039B
CN113888039B CN202111270054.6A CN202111270054A CN113888039B CN 113888039 B CN113888039 B CN 113888039B CN 202111270054 A CN202111270054 A CN 202111270054A CN 113888039 B CN113888039 B CN 113888039B
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张业红
顾行发
刘向东
黄祥志
马紫玄
陈键阳
朱玉婷
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Aerospace Information Research Institute of CAS
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Abstract

The invention discloses an intelligent water affair comprehensive information management system based on big data, which comprises a flood data analysis module, a flood influence analysis module, a material scheduling management module and a water affair management platform, wherein the flood data analysis module is used for analyzing the flood influence; the flood data analysis module is used for acquiring precipitation information in the area and analyzing the probability of flood generation in the area according to the precipitation information; the flood influence analysis module is used for analyzing the influence degree of flood on the designated area; therefore, the probability of flood in the designated area is judged, and if the influence degree is high, the designated area is informed to take flood control measures in time; the material scheduling management module is used for scheduling and distributing materials to the designated area according to the influence result of flood on the designated area; thereby the material distribution can be carried out on the appointed area; the water affair management platform is used for storing data and issuing instructions; through flood influence analysis module, can in time prevent the influence condition that flood brought in to the region.

Description

基于大数据的智慧水务综合信息管理系统和方法Smart water comprehensive information management system and method based on big data

技术领域technical field

本发明涉及大数据技术领域，具体为基于大数据的智慧水务综合信息管理系统。The invention relates to the technical field of big data, in particular to a smart water affairs comprehensive information management system based on big data.

背景技术Background technique

现如今，世界上的洪涝灾害发生的越来越频繁，一旦发生洪涝灾害都会极大影响人民的经济损失和国家财产损失；Nowadays, flood disasters occur more and more frequently in the world. Once a flood disaster occurs, it will greatly affect the economic loss of the people and the loss of national property;

洪水是指暴雨、急剧融化冰雪等自然因素所造成的江河湖泊水量迅速增加，是一种自然灾害现象，洪水灾害涉及学科知识面较为广泛，涉及到了气象学、地理学等学科，问题极其复杂，因此，需要对洪水灾害进行预防，使得人类能够及时采取预防措施；现有很多技术方案对洪水灾害进行预测，会通过神经网络、向量机、灰色预测模型对洪水的特征进行识别并以此对洪水情况进行预测；虽然上述方案能够对洪水进行预测，但是并没有技术方案对在发生洪水的情况下对指定区域的影响程度，使得区域内的人能够及时防洪；Flood refers to the rapid increase of water volume in rivers and lakes caused by natural factors such as heavy rain and sharp melting of ice and snow. It is a natural disaster phenomenon. Flood disasters involve a wide range of disciplines, including meteorology, geography and other disciplines. Therefore, it is necessary to prevent flood disasters so that humans can take preventive measures in time; there are many technical solutions to predict flood disasters, and the characteristics of floods will be identified through neural networks, vector machines, and gray prediction models. Predict the situation; although the above scheme can predict the flood, there is no technical scheme on the degree of impact on the designated area in the event of a flood, so that people in the area can prevent the flood in time;

在洪水结束之后，仍需要对洪水带来的灾害进行解决，防止区域受到二次灾害，妥善解决物资管理问题，因此，需要对上述问题进行改善。After the flood is over, it is still necessary to solve the disaster caused by the flood, prevent the region from suffering from secondary disasters, and properly solve the material management problem. Therefore, the above problems need to be improved.

发明内容SUMMARY OF THE INVENTION

本发明的目的在于提供基于大数据的智慧水务综合信息管理系统，以解决上述背景技术中提出的问题。The purpose of the present invention is to provide a smart water comprehensive information management system based on big data, so as to solve the problems raised in the above background technology.

为了解决上述技术问题，本发明提供如下技术方案：基于大数据的智慧水务综合信息管理系统，该系统包括洪水数据分析模块、洪水影响分析模块、物资调度管理模块和水务管理平台；In order to solve the above technical problems, the present invention provides the following technical solutions: a smart water comprehensive information management system based on big data, the system includes a flood data analysis module, a flood impact analysis module, a material dispatch management module and a water management platform;

所述洪水数据分析模块用于获取区域内降水量信息，根据降水量信息分析区域内发生洪水的概率；The flood data analysis module is used to obtain precipitation information in the area, and analyze the probability of floods occurring in the area according to the precipitation information;

所述洪水影响分析模块用于分析洪水对指定区域的影响程度；从而判断出指定区域发生洪水的概率，若影响程度高，通知指定区域及时采取防洪措施；The flood impact analysis module is used to analyze the degree of impact of floods on the designated area; thereby judging the probability of flooding in the designated area, and if the impact degree is high, notify the designated area to take flood control measures in time;

所述物资调度管理模块用于根据洪水对指定区域的影响结果，进而对指定区域进行物资调度分配；从而能够对指定区域进行物资分配；The material dispatching management module is used for dispatching and distributing materials to the designated area according to the result of the impact of the flood on the designated area, so as to be able to carry out material distribution to the designated area;

所述水务管理平台用于保存数据并发布指令；The water management platform is used to save data and issue instructions;

所述水务管理平台与洪水数据分析模块、洪水影响分析模块和物资调度管理模块相连接。The water management platform is connected with a flood data analysis module, a flood impact analysis module and a material dispatch management module.

进一步的，所述洪水数据分析模块包括区域降水量数据获取单元、数据归一化分析单元、历史数据特征提取单元和数据特征比较单元；Further, the flood data analysis module includes a regional precipitation data acquisition unit, a data normalization analysis unit, a historical data feature extraction unit and a data feature comparison unit;

所述区域降水量数据获取单元用于获取区域内每小时的降雨量信息，并将降雨量信息输送至数据归一化分析单元；The regional precipitation data acquisition unit is used to acquire the hourly rainfall information in the area, and transmit the rainfall information to the data normalization analysis unit;

所述数据归一化分析单元用于对降雨量信息进行归一化处理，从而能够分析出降雨量特征是否会成为发生洪水的因素；The data normalization analysis unit is used for normalizing the rainfall information, so as to be able to analyze whether the rainfall characteristic will become a factor of flood occurrence;

所述历史数据特征提取单元用于获取历史数据中发生洪水时的降雨量信息和洪水移动距离信息，并将信息输送至数据特征比较单元；The historical data feature extraction unit is used to obtain the rainfall amount information and the flood moving distance information when the flood occurs in the historical data, and transmit the information to the data feature comparison unit;

所述数据特征比较单元用于将区域内的降水量信息与历史数据中发生洪水时的降雨量信息相比较，得到分析结果；The data feature comparison unit is used for comparing the precipitation information in the area with the precipitation information when the flood occurs in the historical data to obtain an analysis result;

所述数据特征比较单元的输出端与区域降水量数据获取单元、数据归一化分析单元和历史数据特征提取单元的输入端相连接。The output end of the data feature comparison unit is connected with the input end of the regional precipitation data acquisition unit, the data normalization analysis unit and the historical data feature extraction unit.

进一步的，所述洪水影响范围分析模块包括GPS定位单元、二维模型显示单元、洪水流向距离获取单元和洪水区域概率影响单元；Further, the flood influence scope analysis module includes a GPS positioning unit, a two-dimensional model display unit, a flood flow direction distance acquisition unit and a flood area probability influence unit;

所述GPS定位单元用于对洪水的实时流动位置、洪水发生地和仓库的位置进行定位，并将位置输送至二维模型显示单元中；The GPS positioning unit is used to locate the real-time flow position of the flood, the flood occurrence place and the position of the warehouse, and transmit the position to the two-dimensional model display unit;

所述二维模型显示单元用于在二维平面中展示各端点的位置，从而能够了解到距离信息；The two-dimensional model display unit is used to display the position of each end point in the two-dimensional plane, so that the distance information can be known;

所述洪水流向距离获取单元用于实时分析洪水的流动位置与指定区域之间的距离，并将分析结果输送至洪水区域概率影响单元中；The flood flow direction distance acquisition unit is used to analyze the distance between the flood flow position and the designated area in real time, and transmit the analysis result to the flood area probability influence unit;

所述洪水区域概率影响单元用于分析指定区域受到洪水影响的概率，并将结果输送至水务管理平台中；The flood area probability influence unit is used to analyze the probability that the designated area is affected by the flood, and transmit the result to the water management platform;

所述洪水区域概率影响单元的输出端与GPS定位单元、二维模型显示单元和洪水流向距离获取单元的输入端相连接。The output end of the flood area probability influence unit is connected with the GPS positioning unit, the two-dimensional model display unit and the input end of the flood flow direction distance acquisition unit.

进一步的，所述物资调度管理模块包括相似区域位置获取单元、最短路径建立单元、中间节点建立单元、物资数量获取单元和最少车辆数分析单元；Further, the material dispatch management module includes a similar area position acquisition unit, a shortest path establishment unit, an intermediate node establishment unit, a material quantity acquisition unit and a minimum vehicle number analysis unit;

所述相似区域位置获取单元用于获取与指定区域受到洪水影响概率相同的其他区域信息；The similar area location acquisition unit is used to acquire other area information with the same probability of being affected by floods as the designated area;

所述最短路径建立单元用于在指定区域与仓库之间建立最短配送路径，并将路径输送至中间节点建立单元中；The shortest path establishment unit is used to establish the shortest distribution path between the designated area and the warehouse, and transport the path to the intermediate node establishment unit;

所述中间节点建立单元用于在指定区域与所述仓库之间建立中间节点，使得车辆能够从中间节点直接运送至指定区域，减少配送费用和来回配送次数；The intermediate node establishment unit is used to establish an intermediate node between the designated area and the warehouse, so that the vehicle can be directly transported from the intermediate node to the designated area, thereby reducing distribution costs and round-trip distribution times;

所述物资数量获取单元用于获取指定区域内需要的物资数量和仓库内剩余的物资数量，并将物资数量输送至最少车辆数分析单元中；The material quantity acquisition unit is used to acquire the required material quantity in the designated area and the remaining material quantity in the warehouse, and transmit the material quantity to the minimum vehicle number analysis unit;

所述最少车辆数分析单元用于获取分析从中间节点到达指定区域所需的最少车辆数，并将车辆数结果输送至水务管理平台；The minimum number of vehicles analysis unit is used to obtain and analyze the minimum number of vehicles required to reach the designated area from the intermediate node, and transmit the result of the number of vehicles to the water management platform;

所述最少车辆数分析单元的输出端与相似区域位置获取单元、最短路径建立单元、中间节点建立单元和物资数量获取单元的输入端相连接。The output end of the minimum vehicle number analysis unit is connected with the input end of the similar area position acquisition unit, the shortest path establishment unit, the intermediate node establishment unit and the material quantity acquisition unit.

进一步的，所述水务管理平台包括数据库、数据可视化分析单元和指令发布单元；Further, the water management platform includes a database, a data visualization analysis unit and an instruction issuing unit;

所述数据库用于保存数据；所述数据包括洪水特征数据、车辆配送数据等；The database is used to save data; the data includes flood characteristic data, vehicle distribution data, etc.;

所述数据可视化分析单元用于展示数据的变化；The data visualization analysis unit is used to display changes in data;

所述指令发布单元用于向所述模块发送指令，控制所述模块运行；The instruction issuing unit is configured to send an instruction to the module to control the operation of the module;

所述指令发布单元的输出端与数据库和数据可视化分析单元的输入端相连接。The output end of the instruction issuing unit is connected with the database and the input end of the data visualization analysis unit.

所述智慧水务综合信息管理方法执行如下步骤：The smart water comprehensive information management method performs the following steps:

Z01:获取区域内的降水量信息并对降水量信息归一化，将归一化后的信息与历史数据中发生洪水时的降水量特征对比，得到区域内发生洪水的概率；Z01: Obtain the precipitation information in the area and normalize the precipitation information, and compare the normalized information with the precipitation characteristics when floods occur in historical data to obtain the probability of floods in the area;

Z02:若检测到区域内发生洪水的概率大于预设概率时，分析洪水的实时流动位置对指定区域的影响概率，若影响概率大于预设概率值，则跳转至步骤Z03；若影响概率小于预设概率值，则指定区域不会受到洪水的影响；Z02: If it is detected that the probability of flooding in the area is greater than the preset probability, analyze the impact probability of the real-time flow position of the flood on the designated area, if the impact probability is greater than the preset probability value, then jump to step Z03; if the impact probability is less than If the preset probability value is set, the designated area will not be affected by the flood;

Z03:获取仓库与指定区域的位置信息，在仓库与指定区域之间建立中间节点，得到所述仓库与指定区域之间的最短路径；Z03: obtain the location information of the warehouse and the designated area, establish an intermediate node between the warehouse and the designated area, and obtain the shortest path between the warehouse and the designated area;

Z04:获取所述仓库剩余的物资数量、指定区域所需的物资数量和配送车辆的最多载重量，得到配送车辆数。Z04: Obtain the quantity of materials remaining in the warehouse, the quantity of materials required in the designated area, and the maximum load capacity of the delivery vehicles, to obtain the number of delivery vehicles.

在步骤Z01中，获取区域内每半小时的降雨量信息，具体为W＝{w1,w2,w3...wn},获取历史数据中发生洪水时的平均降雨量信息，具体为H；获取归一化后的降雨量信息，具体为

Figure BDA0003328415240000041
若检测到
Figure BDA0003328415240000042
时，表示区域内发生洪水的概率低于预设概率值；若检测到
Figure BDA0003328415240000043
时，表示区域内发生洪水的概率大于预设概率值；In step Z01, the rainfall information in the area every half an hour is obtained, specifically W={w 1 , w 2 , w 3 ... wn }, and the average rainfall information in the historical data when the flood occurs, specifically is H; obtain the normalized rainfall information, specifically
Figure BDA0003328415240000041
If detected
Figure BDA0003328415240000042
, it means that the probability of flooding in the area is lower than the preset probability value; if it is detected
Figure BDA0003328415240000043
When , it means that the probability of flooding in the area is greater than the preset probability value;

其中，v是指预设差值数，H是指历史数据中发生洪水时的平均降雨量信息，

Figure BDA0003328415240000044
是指区域内平均降雨量信息。Among them, v refers to the preset difference number, H refers to the average rainfall information in the historical data when the flood occurred,
Figure BDA0003328415240000044
Refers to the average rainfall information in the area.

在步骤Z02中，获取指定区域和洪水流动时的实时位置信息，具体为S＝(x,y)和Q＝(ei,ri), 则Q＝D*T,若检测到

Figure BDA0003328415240000045
In step Z02, obtain the real-time position information of the designated area and the flood flow, specifically S=(x, y) and Q=(e i , r i ), then Q=D*T, if detected
Figure BDA0003328415240000045

根据公式：According to the formula:

得到L<0时洪水流过指定区域的概率为：The probability that the flood flows through the specified area when L<0 is:

Figure BDA0003328415240000046
Figure BDA0003328415240000046

其中：P(G|L<0)是指在指定区域与洪水实时流动位置的距离小于0的条件下指定区域受到的概率，P(L<0)是指指定区域与洪水实时流动位置的距离小于0的概率，P(L>0)是指指定区域与洪水实时流动位置的距离大于0的概率，P(G|L>0)是指在指定区域与洪水实时流动位置的距离大于0的条件下指定区域受到的概率，P(L<0|G)是指在指定区域下指定区域与洪水实时流动位置的距离小于0的概率，L是指指定区域和洪水流动时的实时位置之间的距离，P 表示预设概率；Among them: P(G|L<0) refers to the probability that the designated area is received under the condition that the distance between the designated area and the real-time flow position of the flood is less than 0, and P(L<0) refers to the distance between the designated area and the real-time flow position of the flood The probability is less than 0, P(L>0) refers to the probability that the distance between the specified area and the real-time flow position of the flood is greater than 0, and P(G|L>0) refers to the distance between the specified area and the real-time flow position of the flood is greater than 0. The probability of receiving the specified area under the conditions, P(L<0|G) refers to the probability that the distance between the specified area and the real-time flow position of the flood under the specified area is less than 0, and L refers to the specified area and the real-time position of the flood flow. distance, P represents the preset probability;

若检测到P(L<0|G)>P时，表示指定区域受到了洪水的影响；若检测到P(L<0|G)<P时，表示指定区域未受到洪水的影响。If P(L<0|G)>P is detected, it means that the designated area is affected by the flood; if P(L<0|G)<P is detected, it means that the designated area is not affected by the flood.

在步骤Z03中，在仓库与指定区域之间建立中间节点，得到所述仓库与指定区域之间的最短路径的具体方法为如下步骤：In step Z03, an intermediate node is established between the warehouse and the designated area, and the specific method for obtaining the shortest path between the warehouse and the designated area is as follows:

Z031:根据指定区域、所述仓库节点和候选中间节点集，形成节点集合M，根据节点集合M中指定区域、所述仓库节点与候选中间节点集的集合，依次组成指定区域与所述仓库节点和中间节点集之间的配对，组成边集合；最终形成一张包含节点集合和边集合的图S(M,K)；其中：K是指边集合；Z031: According to the designated area, the warehouse node and the candidate intermediate node set, form a node set M, and according to the set of the designated area, the warehouse node and the candidate intermediate node set in the node set M, form the designated area and the warehouse node in turn. The pairing with the intermediate node set forms an edge set; finally a graph S(M, K) containing a node set and an edge set is formed; where: K refers to the edge set;

Z032:根据随意设置的中间节点集，计算得到每个中间节点集与所述指定区域和仓库之间的边权重；对所有形成的边权重大小，对所述中间节点集进行排序，得到一个更新的中间节点集，将更新的中间节点集合n-1个节点中边权重最大的边从最小生成树中删除；Z032: Calculate the edge weights between each intermediate node set and the designated area and the warehouse according to the set of intermediate nodes arbitrarily set; for all formed edge weights, sort the set of intermediate nodes to obtain an update , delete the edge with the largest edge weight in the updated intermediate node set n-1 nodes from the minimum spanning tree;

Z033:得到满足区域、所述仓库节点与最终中间节点之间的最小边权重。Z033: Obtain the minimum edge weight between the satisfied area, the warehouse node and the final intermediate node.

在步骤Z04中，获取到仓库中剩余的物资数量为P,指定区域所需的物资数量为Z，配送车辆的最多载重量为u；In step Z04, the quantity of materials remaining in the warehouse is obtained as P, the quantity of materials required in the designated area is Z, and the maximum load capacity of the delivery vehicle is u;

根据公式：

Figure BDA0003328415240000051
According to the formula:
Figure BDA0003328415240000051

需要配送车辆数为f。The number of vehicles to be delivered is f.

与现有技术相比，本发明所达到的有益效果是：Compared with the prior art, the beneficial effects achieved by the present invention are:

通过洪水数据分析模块，根据数据的特征变化，能够得到指定区域内洪水发生的概率，提高了判定为洪水的准确度，能够及时预防，不会对人民财产损失造成影响，从而受到二次洪水覆盖的影响；通过洪水影响分析模块；在本技术方案中使用了贝叶斯方法，分析了洪水对指定区域的影响概率，通过贝叶斯方法进行概率分析，它相比于实时分析洪水的速度，进而得到洪水与指定区域的距离来计算洪水对指定区域的影响程度，提高了分析的精度；通过物资调度管理模块，通过最小生成树的方法进而获取中间节点与仓库和指定区域的最小路径，在计算过程中，排除了最长路径，保证运输车能够及时将物资运输到指定位置，确保了洪水灾害发生后物资能够及时得到保障。Through the flood data analysis module, according to the characteristics of the data, the probability of flood occurrence in the designated area can be obtained, which improves the accuracy of flood judgment, and can be prevented in time without affecting people's property losses, thus being covered by secondary floods. Through the flood impact analysis module; in this technical solution, the Bayesian method is used to analyze the impact probability of the flood on the designated area, and the probability analysis is carried out through the Bayesian method. Compared with the real-time analysis of the flood speed, Then, the distance between the flood and the designated area is obtained to calculate the impact of the flood on the designated area, which improves the accuracy of the analysis; through the material scheduling management module, the minimum spanning tree method is used to obtain the minimum path between the intermediate node and the warehouse and the designated area. In the calculation process, the longest path is excluded to ensure that the transport vehicle can transport the materials to the designated location in time, ensuring that the materials can be guaranteed in time after the flood disaster occurs.

附图说明Description of drawings

附图用来提供对本发明的进一步理解，并且构成说明书的一部分，与本发明的实施例一起用于解释本发明，并不构成对本发明的限制。在附图中：The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the specification, and are used to explain the present invention together with the embodiments of the present invention, and do not constitute a limitation to the present invention. In the attached image:

图1是本发明基于大数据的智慧水务综合信息管理系统的步骤示意图；Fig. 1 is the step schematic diagram of the smart water comprehensive information management system based on big data of the present invention;

图2是本发明基于大数据的智慧水务综合信息管理系统的模块组成示意图。FIG. 2 is a schematic diagram of the module composition of the smart water comprehensive information management system based on big data of the present invention.

具体实施方式Detailed ways

下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

请参阅图1-2，本发明提供技术方案：基于大数据的智慧水务综合信息管理系统，该系统包括洪水数据分析模块、洪水影响分析模块、物资调度管理模块和水务管理平台；Please refer to Figures 1-2, the present invention provides a technical solution: a smart water comprehensive information management system based on big data, the system includes a flood data analysis module, a flood impact analysis module, a material dispatch management module and a water management platform;

所述洪水数据分析模块用于获取区域内降水量信息，根据降水量信息分析区域内发生洪水的概率；The flood data analysis module is used to obtain precipitation information in the area, and analyze the probability of floods occurring in the area according to the precipitation information;

所述洪水影响分析模块用于分析洪水对指定区域的影响程度；从而判断出指定区域发生洪水的概率，若影响程度高，通知指定区域及时采取防洪措施；The flood impact analysis module is used to analyze the degree of impact of floods on the designated area; thereby judging the probability of flooding in the designated area, and if the impact degree is high, notify the designated area to take flood control measures in time;

所述物资调度管理模块用于根据洪水对指定区域的影响结果，进而对指定区域进行物资调度分配；从而能够对指定区域进行物资分配；The material dispatching management module is used for dispatching and distributing materials to the designated area according to the result of the impact of the flood on the designated area, so as to be able to carry out material distribution to the designated area;

所述水务管理平台用于保存数据并发布指令；The water management platform is used to save data and issue instructions;

所述水务管理平台与洪水数据分析模块、洪水影响分析模块和物资调度管理模块相连接。The water management platform is connected with a flood data analysis module, a flood impact analysis module and a material dispatch management module.

进一步的，所述洪水数据分析模块包括区域降水量数据获取单元、数据归一化分析单元、历史数据特征提取单元和数据特征比较单元；Further, the flood data analysis module includes a regional precipitation data acquisition unit, a data normalization analysis unit, a historical data feature extraction unit and a data feature comparison unit;

所述区域降水量数据获取单元用于获取区域内每小时的降雨量信息，并将降雨量信息输送至数据归一化分析单元；The regional precipitation data acquisition unit is used to acquire the hourly rainfall information in the area, and transmit the rainfall information to the data normalization analysis unit;

所述数据归一化分析单元用于对降雨量信息进行归一化处理，从而能够分析出降雨量特征是否会成为发生洪水的因素；The data normalization analysis unit is used for normalizing the rainfall information, so as to be able to analyze whether the rainfall characteristic will become a factor of flood occurrence;

所述历史数据特征提取单元用于获取历史数据中发生洪水时的降雨量信息和洪水移动距离信息，并将信息输送至数据特征比较单元；The historical data feature extraction unit is used to obtain the rainfall amount information and the flood moving distance information when the flood occurs in the historical data, and transmit the information to the data feature comparison unit;

所述数据特征比较单元用于将区域内的降水量信息与历史数据中发生洪水时的降雨量信息相比较，得到分析结果；The data feature comparison unit is used for comparing the precipitation information in the area with the precipitation information when the flood occurs in the historical data to obtain an analysis result;

所述数据特征比较单元的输出端与区域降水量数据获取单元、数据归一化分析单元和历史数据特征提取单元的输入端相连接。The output end of the data feature comparison unit is connected with the input end of the regional precipitation data acquisition unit, the data normalization analysis unit and the historical data feature extraction unit.

进一步的，所述洪水影响范围分析模块包括GPS定位单元、二维模型显示单元、洪水流向距离获取单元和洪水区域概率影响单元；Further, the flood influence scope analysis module includes a GPS positioning unit, a two-dimensional model display unit, a flood flow direction distance acquisition unit and a flood area probability influence unit;

所述GPS定位单元用于对洪水的实时流动位置、洪水发生地和仓库的位置进行定位，并将位置输送至二维模型显示单元中；The GPS positioning unit is used to locate the real-time flow position of the flood, the flood occurrence place and the position of the warehouse, and transmit the position to the two-dimensional model display unit;

所述二维模型显示单元用于在二维平面中展示各端点的位置，从而能够了解到距离信息；The two-dimensional model display unit is used to display the position of each end point in the two-dimensional plane, so that the distance information can be known;

所述洪水流向距离获取单元用于实时分析洪水的流动位置与指定区域之间的距离，并将分析结果输送至洪水区域概率影响单元中；The flood flow direction distance acquisition unit is used to analyze the distance between the flood flow position and the designated area in real time, and transmit the analysis result to the flood area probability influence unit;

所述洪水区域概率影响单元用于分析指定区域受到洪水影响的概率，并将结果输送至水务管理平台中；The flood area probability influence unit is used to analyze the probability that the designated area is affected by the flood, and transmit the result to the water management platform;

所述洪水区域概率影响单元的输出端与GPS定位单元、二维模型显示单元和洪水流向距离获取单元的输入端相连接。The output end of the flood area probability influence unit is connected with the GPS positioning unit, the two-dimensional model display unit and the input end of the flood flow direction distance acquisition unit.

进一步的，所述物资调度管理模块包括相似区域位置获取单元、最短路径建立单元、中间节点建立单元、物资数量获取单元和最少车辆数分析单元；Further, the material dispatch management module includes a similar area position acquisition unit, a shortest path establishment unit, an intermediate node establishment unit, a material quantity acquisition unit and a minimum vehicle number analysis unit;

所述相似区域位置获取单元用于获取与指定区域受到洪水影响概率相同的其他区域信息；The similar area location acquisition unit is used to acquire other area information with the same probability of being affected by floods as the designated area;

所述最短路径建立单元用于在指定区域与仓库之间建立最短配送路径，并将路径输送至中间节点建立单元中；The shortest path establishment unit is used to establish the shortest distribution path between the designated area and the warehouse, and transport the path to the intermediate node establishment unit;

所述中间节点建立单元用于在指定区域与所述仓库之间建立中间节点，使得车辆能够从中间节点直接运送至指定区域，减少配送费用和来回配送次数；The intermediate node establishment unit is used to establish an intermediate node between the designated area and the warehouse, so that the vehicle can be directly transported from the intermediate node to the designated area, thereby reducing distribution costs and round-trip distribution times;

所述物资数量获取单元用于获取指定区域内需要的物资数量和仓库内剩余的物资数量，并将物资数量输送至最少车辆数分析单元中；The material quantity acquisition unit is used to acquire the required material quantity in the designated area and the remaining material quantity in the warehouse, and transmit the material quantity to the minimum vehicle number analysis unit;

所述最少车辆数分析单元用于获取分析从中间节点到达指定区域所需的最少车辆数，并将车辆数结果输送至水务管理平台；The minimum number of vehicles analysis unit is used to obtain and analyze the minimum number of vehicles required to reach the designated area from the intermediate node, and transmit the result of the number of vehicles to the water management platform;

所述最少车辆数分析单元的输出端与相似区域位置获取单元、最短路径建立单元、中间节点建立单元和物资数量获取单元的输入端相连接。The output end of the minimum vehicle number analysis unit is connected with the input end of the similar area position acquisition unit, the shortest path establishment unit, the intermediate node establishment unit and the material quantity acquisition unit.

进一步的，所述水务管理平台包括数据库、数据可视化分析单元和指令发布单元；Further, the water management platform includes a database, a data visualization analysis unit and an instruction issuing unit;

所述数据库用于保存数据；所述数据包括洪水特征数据、车辆配送数据等；The database is used to save data; the data includes flood characteristic data, vehicle distribution data, etc.;

所述数据可视化分析单元用于展示数据的变化；The data visualization analysis unit is used to display changes in data;

所述指令发布单元用于向所述模块发送指令，控制所述模块运行；The instruction issuing unit is configured to send an instruction to the module to control the operation of the module;

所述指令发布单元的输出端与数据库和数据可视化分析单元的输入端相连接。The output end of the instruction issuing unit is connected with the database and the input end of the data visualization analysis unit.

所述智慧水务综合信息管理方法执行如下步骤：The smart water comprehensive information management method performs the following steps:

Z01:获取区域内的降水量信息并对降水量信息归一化，将归一化后的信息与历史数据中发生洪水时的降水量特征对比，得到区域内发生洪水的概率；Z01: Obtain the precipitation information in the area and normalize the precipitation information, and compare the normalized information with the precipitation characteristics when floods occur in historical data to obtain the probability of floods in the area;

Z02:若检测到区域内发生洪水的概率大于预设概率时，分析洪水的实时流动位置对指定区域的影响概率，若影响概率大于预设概率值，则跳转至步骤Z03；若影响概率小于预设概率值，则指定区域不会受到洪水的影响；Z02: If it is detected that the probability of flooding in the area is greater than the preset probability, analyze the impact probability of the real-time flow position of the flood on the designated area, if the impact probability is greater than the preset probability value, then jump to step Z03; if the impact probability is less than If the preset probability value is set, the designated area will not be affected by the flood;

Z03:获取仓库与指定区域的位置信息，在仓库与指定区域之间建立中间节点，得到所述仓库与指定区域之间的最短路径；Z03: obtain the location information of the warehouse and the designated area, establish an intermediate node between the warehouse and the designated area, and obtain the shortest path between the warehouse and the designated area;

Z04:获取所述仓库剩余的物资数量、指定区域所需的物资数量和配送车辆的最多载重量，得到配送车辆数。Z04: Obtain the quantity of materials remaining in the warehouse, the quantity of materials required in the designated area, and the maximum load capacity of the delivery vehicles, to obtain the number of delivery vehicles.

在步骤Z01中，获取区域内每半小时的降雨量信息，具体为W＝{w1,w2,w3...wn},获取历史数据中发生洪水时的平均降雨量信息，具体为H；获取归一化后的降雨量信息，具体为

Figure BDA0003328415240000081
若检测到
Figure BDA0003328415240000082
时，表示区域内发生洪水的概率低于预设概率值；若检测到
Figure BDA0003328415240000083
时，表示区域内发生洪水的概率大于预设概率值；In step Z01, the rainfall information in the area every half an hour is obtained, specifically W={w 1 , w 2 , w 3 ... wn }, and the average rainfall information in the historical data when the flood occurs, specifically is H; obtain the normalized rainfall information, specifically
Figure BDA0003328415240000081
If detected
Figure BDA0003328415240000082
, it means that the probability of flooding in the area is lower than the preset probability value; if it is detected
Figure BDA0003328415240000083
When , it means that the probability of flooding in the area is greater than the preset probability value;

其中，v是指预设差值数，H是指历史数据中发生洪水时的平均降雨量信息，

Figure BDA0003328415240000084
是指区域内平均降雨量信息。Among them, v refers to the preset difference number, H refers to the average rainfall information in the historical data when the flood occurred,
Figure BDA0003328415240000084
Refers to the average rainfall information in the area.

在步骤Z02中，获取指定区域和洪水流动时的实时位置信息，具体为S＝(x,y)和Q＝(ei,ri), 若检测到

Figure BDA0003328415240000085
In step Z02, obtain the real-time position information of the designated area and the flood flow, specifically S=(x, y) and Q=(e i , r i ), if detected
Figure BDA0003328415240000085

根据公式：According to the formula:

得到L<0时洪水流过指定区域的概率为：The probability that the flood flows through the specified area when L<0 is:

Figure BDA0003328415240000086
Figure BDA0003328415240000086

其中：P(G|L<0)是指在指定区域与洪水实时流动位置的距离小于0的条件下指定区域受到的概率，P(L<0)是指指定区域与洪水实时流动位置的距离小于0的概率，P(L>0)是指指定区域与洪水实时流动位置的距离大于0的概率，P(G|L>0)是指在指定区域与洪水实时流动位置的距离大于0的条件下指定区域受到的概率，P(L<0|G)是指在指定区域下指定区域与洪水实时流动位置的距离小于0的概率，L是指指定区域和洪水流动时的实时位置之间的距离，P 表示预设概率；Among them: P(G|L<0) refers to the probability that the designated area is received under the condition that the distance between the designated area and the real-time flow position of the flood is less than 0, and P(L<0) refers to the distance between the designated area and the real-time flow position of the flood The probability is less than 0, P(L>0) refers to the probability that the distance between the specified area and the real-time flow position of the flood is greater than 0, and P(G|L>0) refers to the distance between the specified area and the real-time flow position of the flood is greater than 0. The probability of receiving the specified area under the conditions, P(L<0|G) refers to the probability that the distance between the specified area and the real-time flow position of the flood under the specified area is less than 0, and L refers to the specified area and the real-time position of the flood flow. distance, P represents the preset probability;

若检测到P(L<0|G)>P时，表示指定区域受到了洪水的影响；若检测到P(L<0|G)<P时，表示指定区域未受到洪水的影响；If P(L<0|G)>P is detected, it means that the designated area is affected by the flood; if P(L<0|G)<P is detected, it means that the designated area is not affected by the flood;

通过贝叶斯概率，分析了洪水对指定区域的影响概率，它相比于向量机算法更加简便，提高了分析的精度，在上述公式

Figure BDA0003328415240000091
中，由于洪水的流动速度十分快速，即使洪水不再滚动之后，凭借牛顿第三定律，洪水还是会受到惯性的作用流向部分区域，因此，通过
Figure BDA0003328415240000092
公式实时分析出洪水距离指定区域的距离；通过公式
Figure BDA0003328415240000093
得到了指定区域下，L<0的概率，能够根据该公式及时预防洪水发生二次滚动对区域造成二次破坏，因此，如果仅仅凭借距离分析指定区域受到的影响，分析结果十分受限制且并不精准。Through Bayesian probability, the impact probability of flood on the designated area is analyzed. Compared with the vector machine algorithm, it is simpler and improves the accuracy of the analysis. In the above formula
Figure BDA0003328415240000091
, because the flow speed of the flood is very fast, even after the flood no longer rolls, by virtue of Newton's third law, the flood will still flow to some areas under the action of inertia, so through
Figure BDA0003328415240000092
The formula analyzes the distance of the flood from the specified area in real time; through the formula
Figure BDA0003328415240000093
The probability of L<0 under the specified area can be obtained, and the secondary damage of the area caused by the secondary rolling of the flood can be prevented in time according to this formula. Therefore, if the influence of the specified area is only analyzed by the distance, the analysis results are very limited. Not precise.

在步骤Z03中，在仓库与指定区域之间建立中间节点，得到所述仓库与指定区域之间的最短路径的具体方法为如下步骤：In step Z03, an intermediate node is established between the warehouse and the designated area, and the specific method for obtaining the shortest path between the warehouse and the designated area is as follows:

Z031:根据指定区域、所述仓库节点和候选中间节点集，形成节点集合M，根据节点集合 M中指定区域、所述仓库节点与候选中间节点集的集合，依次组成指定区域与所述仓库节点和中间节点集之间的配对，组成边集合；最终形成一张包含节点集合和边集合的图S(M,K)；其中：K是指边集合；Z031: According to the designated area, the warehouse node and the candidate intermediate node set, form a node set M, and according to the set of the designated area, the warehouse node and the candidate intermediate node set in the node set M, form the designated area and the warehouse node in turn. The pairing with the intermediate node set forms an edge set; finally a graph S(M, K) containing a node set and an edge set is formed; where: K refers to the edge set;

Z032:根据随意设置的中间节点集，计算得到每个中间节点集与所述指定区域和仓库之间的边权重；对所有形成的边权重大小，对所述中间节点集进行排序，得到一个更新的中间节点集，将更新的中间节点集合n-1个节点中边权重最大的边从最小生成树中删除；Z032: Calculate the edge weights between each intermediate node set and the designated area and the warehouse according to the set of intermediate nodes arbitrarily set; for all formed edge weights, sort the set of intermediate nodes to obtain an update , delete the edge with the largest edge weight in the updated intermediate node set n-1 nodes from the minimum spanning tree;

Z033:得到满足区域、所述仓库节点与最终中间节点之间的最小边权重，即最短路径；Z033: obtain the minimum edge weight between the satisfied area, the warehouse node and the final intermediate node, that is, the shortest path;

在上述过程中，通过最小生成树获得了运送车配送的最短路径，在上述过程中，通过删除边权重所对应最大的边，从而确保不会产生回路，保证生成最短路径，通过该模型减免了运送车在路上所花费时间，同时减少了经济损失。在上述过程中设置了中间节点，确保运输车不用往返处于不同位置的仓库，统一在中间节点进行装货，因此，在确定配送车辆数时，同时包含了各仓库运往中间节点的车辆，通过不同批次的运送车辆进行运送，确保了在配送过程中不会因为意外损失或者长途配送导致物资全部损坏或者丢失，减少了对经济损失的影响。In the above process, the shortest path of the delivery vehicle is obtained through the minimum spanning tree. In the above process, by deleting the edge corresponding to the largest edge weight, it is ensured that no loop will be generated and the shortest path will be generated. This model reduces the Time spent on the road by delivery vehicles while reducing financial losses. In the above process, intermediate nodes are set up to ensure that the transport vehicles do not need to travel to and from warehouses in different locations, and they are uniformly loaded at the intermediate nodes. Therefore, when determining the number of delivery vehicles, the vehicles from each warehouse to the intermediate nodes are also included. The delivery of batches of vehicles ensures that all materials will not be damaged or lost due to accidental loss or long-distance delivery during the delivery process, reducing the impact on economic losses.

在步骤Z04中，获取到仓库中剩余的物资数量为P,指定区域所需的物资数量为Z，配送车辆的最多载重量为u；In step Z04, the quantity of materials remaining in the warehouse is obtained as P, the quantity of materials required in the designated area is Z, and the maximum load capacity of the delivery vehicle is u;

根据公式：

Figure BDA0003328415240000094
According to the formula:
Figure BDA0003328415240000094

需要配送车辆数为f。The number of vehicles to be delivered is f.

实施例1：获取指定区域和洪水流动时的实时位置信息，具体为S＝(x,y)＝(150000,254000)和Q＝(e2,r2)＝(80000,150000),若检测到Embodiment 1: Obtain the real-time location information of the designated area and the flood flow, specifically S=(x, y)=(150000, 254000) and Q=(e 2 , r 2 )=(80000, 150000), if the detection arrive

Figure BDA0003328415240000101
Figure BDA0003328415240000101

根据公式：According to the formula:

根据上述结算可得，P(G|L<0)＝0.5，P(L<0)＝0.1，P(G|L>0)＝0.83，P(L>0)＝0.75；According to the above settlement, P(G|L<0)=0.5, P(L<0)=0.1, P(G|L>0)=0.83, P(L>0)=0.75;

得到L<0时洪水流过指定区域的概率为：The probability that the flood flows through the specified area when L<0 is:

Figure BDA0003328415240000102
Figure BDA0003328415240000102

其中：P(G|L<0)是指在指定区域与洪水实时流动位置的距离小于0的条件下指定区域受到的概率，P(L<0)是指指定区域与洪水实时流动位置的距离小于0的概率，P(L>0)是指指定区域与洪水实时流动位置的距离大于0的概率，P(G|L>0)是指在指定区域与洪水实时流动位置的距离大于0的条件下指定区域受到的概率，P(L<0|G)是指在指定区域下指定区域与洪水实时流动位置的距离小于0的概率，L是指指定区域和洪水流动时的实时位置之间的距离，P 表示预设概率；Among them: P(G|L<0) refers to the probability that the designated area is received under the condition that the distance between the designated area and the real-time flow position of the flood is less than 0, and P(L<0) refers to the distance between the designated area and the real-time flow position of the flood The probability is less than 0, P(L>0) refers to the probability that the distance between the specified area and the real-time flow position of the flood is greater than 0, and P(G|L>0) refers to the distance between the specified area and the real-time flow position of the flood is greater than 0. The probability of receiving the specified area under the conditions, P(L<0|G) refers to the probability that the distance between the specified area and the real-time flow position of the flood under the specified area is less than 0, and L refers to the specified area and the real-time position of the flood flow. distance, P represents the preset probability;

因此，洪水流过指定区域的概率为7％，指定区域受到洪水波动的影响较低。Therefore, there is a 7% probability that flood water will flow through the designated area, which is less affected by flood fluctuations.

实施例2：获取指定区域和洪水流动时的实时位置信息，具体为S＝(x,y)＝(145260,110000)和Q＝(e2,r2)＝(145260,1100000),若检测到Embodiment 2: Obtain the real-time location information of the designated area and the flood flow, specifically S=(x, y)=(145260, 110000) and Q=(e 2 , r 2 )=(145260, 1100000), if detected arrive

Figure BDA0003328415240000103
Figure BDA0003328415240000103

根据公式：According to the formula:

根据上述结算可得，P(G|L<0)＝0.98，P(L<0)＝0.99，P(G|L>0)＝0.12，P(L>0)＝0.11；According to the above settlement, P(G|L<0)=0.98, P(L<0)=0.99, P(G|L>0)=0.12, P(L>0)=0.11;

得到L<0时洪水流过指定区域的概率为：The probability that the flood flows through the specified area when L<0 is:

Figure BDA0003328415240000104
Figure BDA0003328415240000104

其中：P(G|L<0)是指在指定区域与洪水实时流动位置的距离小于0的条件下指定区域受到的概率，P(L<0)是指指定区域与洪水实时流动位置的距离小于0的概率，P(L>0)是指指定区域与洪水实时流动位置的距离大于0的概率，P(G|L>0)是指在指定区域与洪水实时流动位置的距离大于0的条件下指定区域受到的概率，P(L<0|G)是指在指定区域下指定区域与洪水实时流动位置的距离小于0的概率，L是指指定区域和洪水流动时的实时位置之间的距离，P 表示预设概率；Among them: P(G|L<0) refers to the probability that the designated area is received under the condition that the distance between the designated area and the real-time flow position of the flood is less than 0, and P(L<0) refers to the distance between the designated area and the real-time flow position of the flood The probability is less than 0, P(L>0) refers to the probability that the distance between the specified area and the real-time flow position of the flood is greater than 0, and P(G|L>0) refers to the distance between the specified area and the real-time flow position of the flood is greater than 0. The probability of receiving the specified area under the conditions, P(L<0|G) refers to the probability that the distance between the specified area and the real-time flow position of the flood under the specified area is less than 0, and L refers to the specified area and the real-time position of the flood flow. distance, P represents the preset probability;

因此，洪水流过指定区域的概率为98％，指定区域受到洪水波动的影响较高，需要采取措施进行防洪。Therefore, the probability of floods flowing through the designated area is 98%, the designated area is highly affected by flood fluctuations, and measures need to be taken for flood control.

需要说明的是，在本文中，诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion such that a process, method, article or device comprising a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus.

最后应说明的是：以上所述仅为本发明的优选实施例而已，并不用于限制本发明，尽管参照前述实施例对本发明进行了详细的说明，对于本领域的技术人员来说，其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换。凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。Finally, it should be noted that the above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, the The technical solutions described in the foregoing embodiments may be modified, or some technical features thereof may be equivalently replaced. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims (4)

1. Wisdom water affairs integrated information management system based on big data, its characterized in that: the system comprises a flood data analysis module, a flood influence analysis module, a material scheduling management module and a water affair management platform;
the flood data analysis module is used for acquiring precipitation information in the area and analyzing the probability of flood generation in the area according to the precipitation information;
the flood influence analysis module is used for analyzing the influence degree of flood on the designated area; if the influence degree is high, informing the designated area to take flood control measures in time;
the material scheduling management module is used for scheduling and distributing materials to the designated area according to the influence result of flood on the designated area;
the water affair management platform is used for storing data and issuing instructions;
the water affair management platform is connected with the flood data analysis module, the flood influence analysis module and the material scheduling management module;
the flood data analysis module comprises a regional precipitation data acquisition unit, a data normalization analysis unit, a historical data feature extraction unit and a data feature comparison unit;
the regional rainfall data acquisition unit is used for acquiring rainfall information of each hour in the region and transmitting the rainfall information to the data normalization analysis unit;
the data normalization analysis unit is used for normalizing rainfall information;
the historical data feature extraction unit is used for acquiring rainfall information and flood movement distance information when a flood occurs in historical data and transmitting the information to the data feature comparison unit;
the data characteristic comparison unit is used for comparing rainfall information in the region with rainfall information in the historical data when flood occurs to obtain an analysis result;
the output end of the data characteristic comparison unit is connected with the input ends of the regional precipitation data acquisition unit, the data normalization analysis unit and the historical data characteristic extraction unit;
the flood influence range analysis module comprises a GPS positioning unit, a two-dimensional model display unit, a flood flow direction distance acquisition unit and a flood area probability influence unit;
the GPS positioning unit is used for positioning the real-time flowing position of flood, the flood generating place and the position of the warehouse and conveying the position to the two-dimensional model display unit;
the two-dimensional model display unit is used for displaying the position of each end point in a two-dimensional plane;
the flood flow direction distance acquisition unit is used for analyzing the distance between the flow position of the flood and the designated area in real time and transmitting the analysis result to the flood area probability influence unit;
the flood area probability influence unit is used for analyzing the probability of the designated area influenced by the flood and transmitting the result to the water service management platform;
the output end of the flood area probability influence unit is connected with the input ends of the GPS positioning unit, the two-dimensional model display unit and the flood flow direction distance acquisition unit;
the material scheduling management module comprises a similar area position acquisition unit, a shortest path establishment unit, an intermediate node establishment unit, a material quantity acquisition unit and a minimum vehicle number analysis system unit;
the similar area position acquiring unit is used for acquiring other area information with the same probability of being influenced by flood as the designated area;
the shortest path establishing unit is used for establishing a shortest distribution path between the designated area and the warehouse and conveying the path to the intermediate node establishing unit;
the intermediate node establishing unit is used for establishing an intermediate node between the designated area and the warehouse, so that the vehicle can be directly conveyed to the designated area from the intermediate node, and the distribution cost and the back-and-forth distribution times are reduced;
the material quantity acquisition unit is used for acquiring the quantity of materials needed in the designated area and the quantity of the materials left in the warehouse and conveying the quantity of the materials to the minimum vehicle number analysis system unit;
the minimum vehicle number analysis system unit is used for acquiring and analyzing the minimum vehicle number required for reaching a specified area from the middle node and transmitting the vehicle number result to the water affair management platform;
the output end of the minimum vehicle number analysis system unit is connected with the input ends of the similar area position acquisition unit, the shortest path establishment unit, the intermediate node establishment unit and the material quantity acquisition unit;
acquiring the quantity of the remaining materials in the warehouse as P, the quantity of the materials required by a designated area as Z and the maximum load capacity of a delivery vehicle as u;
according to the formula:
Figure DEST_PATH_IMAGE002
；
the number of vehicles needing to be distributed is f;
the specific method for establishing the intermediate node between the warehouse and the designated area to obtain the shortest path between the warehouse and the designated area comprises the following steps:
z031, forming a node set M according to the designated area, the warehouse nodes and the candidate intermediate node set, and sequentially forming pairs among the designated area, the warehouse nodes and the candidate intermediate node set according to the designated area in the node set M, the warehouse nodes and the candidate intermediate node set to form an edge set; finally, a graph S (M, K) containing a node set and an edge set is formed, wherein: k is an edge set;
z032, calculating to obtain the edge weight between each intermediate node set and the designated area and the warehouse according to the intermediate node sets which are randomly arranged; sorting the intermediate node sets according to the weight of all formed edges to obtain an updated intermediate node set, and deleting the edge with the maximum edge weight in n-1 nodes of the updated intermediate node set from the minimum spanning tree;
z033, obtaining the minimum edge weight between the satisfying area, the warehouse node and the final intermediate node, namely the shortest path;
acquiring real-time position information of a designated area and flood flow, specifically S = (x, y) and Q = (e)i,ri) If it is detected
Figure 203045DEST_PATH_IMAGE002
；
According to the formula:
obtaining the probability that the flood flows through the designated area when L <0 as:
Figure 120185DEST_PATH_IMAGE004
；
wherein: p (G | L <0) is the probability of the specified area under the condition that the distance between the specified area and the real-time flood flow position is less than 0, P (L <0) is the probability of the specified area and the real-time flood flow position being less than 0, P (L >0) is the probability of the specified area and the real-time flood flow position being more than 0, P (G | L >0) is the probability of the specified area under the condition that the distance between the specified area and the real-time flood flow position is more than 0, P (L <0| G) is the probability of the specified area and the real-time flood flow position being less than 0, L is the distance between the specified area and the real-time flood flow position, and P is the preset probability;
if P (L <0| G) > P is detected, the designated area is influenced by flood; if P (L <0| G) < P is detected, it indicates that the designated area is not affected by the flood.
2. The intelligent water affairs integrated information management system based on big data according to claim 1, wherein: the water affair management platform comprises a database, a data visualization analysis unit and an instruction issuing unit;
the database is used for storing data; the data comprises flood characteristic data and vehicle distribution data;
the data visualization analysis unit is used for displaying the change of the data;
the instruction issuing unit is used for sending instructions to all modules and controlling all modules to operate;
and the output end of the instruction issuing unit is connected with the input ends of the database and the data visualization analysis unit.
3. The system of claim 1, wherein the intelligent water affairs comprehensive information management method based on big data comprises: the intelligent water affair comprehensive information management method comprises the following steps:
z01, acquiring precipitation information in the area, normalizing the precipitation information, and comparing the normalized information with precipitation characteristics when flood occurs in historical data to obtain the probability of flood occurrence in the area;
z02, if the probability of flood in the area is detected to be larger than the preset probability, analyzing the influence probability of the real-time flowing position of the flood on the appointed area, and if the influence probability is larger than the preset probability, jumping to the step Z03; if the influence probability is smaller than the preset probability value, the designated area is not influenced by the flood;
z03, acquiring the position information of the warehouse and the appointed area, and establishing an intermediate node between the warehouse and the appointed area to obtain the shortest path between the warehouse and the appointed area;
and Z04, acquiring the quantity of the materials left in the warehouse, the quantity of the materials required by the designated area and the maximum carrying capacity of the delivery vehicles to obtain the number of the delivery vehicles.
4. The intelligent water affair comprehensive information management method based on big data according to claim 3, wherein: in step Z01, rainfall information every half hour in the area is acquired, specifically W = { W = { W =1,w2,w3...wnAcquiring average rainfall information, specifically H, when the flood occurs in the historical data; obtaining normalizationInformation on the amount of rainfall after, in particular
Figure 899923DEST_PATH_IMAGE006
If it is detected
Figure DEST_PATH_IMAGE010
Then, the probability of flood in the area is lower than the preset probability value; if it is detected
Figure DEST_PATH_IMAGE012
When the probability of flood in the area is larger than the preset probability value;
wherein v is a preset difference value number, H is average rainfall information when flood occurs in historical data,
Figure DEST_PATH_IMAGE014
which refers to average rainfall information within an area.
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106529782A (en) * 2016-11-02 2017-03-22 贵州电网有限责任公司贵阳供电局 Electric power emergency goods and materials comprehensive guarantee analysis and management platform and calculation method
CN106910018A (en) * 2017-02-23 2017-06-30 吉林大学 One kind rescue resource regulating method and system
CN108288120A (en) * 2017-12-25 2018-07-17 沈阳大学 A kind of flood emergency materials distribution analysis method
CN108320462A (en) * 2018-03-02 2018-07-24 中山市爱科应用科技有限公司 Urban Flood control early-warning and predicting system
CN109933637A (en) * 2019-03-19 2019-06-25 北京航天宏图信息技术股份有限公司 A kind of flood risk Dynamic Display and analysis system
CN110135722A (en) * 2019-05-09 2019-08-16 苏州嘉奕晟中小企业科技咨询有限公司 Smart city flood processing system based on geographical integrated information
CN110532952A (en) * 2019-08-30 2019-12-03 四川大学 Flood disaster risk early warning and evacuation system based on GIS location technology
CN111222662A (en) * 2018-11-26 2020-06-02 中国电力科学研究院有限公司 Power grid typhoon flood disaster early warning method and device
CN112327698A (en) * 2020-11-05 2021-02-05 叶远 Flood disaster early warning system and method based on Internet of things

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8655595B1 (en) * 2006-10-17 2014-02-18 Corelogic Solutions, Llc Systems and methods for quantifying flood risk
CN106991278B (en) * 2017-03-21 2021-01-01 武汉大学 Coupling method for ensemble precipitation forecast and real-time flood probability forecast
JP7284049B2 (en) * 2019-09-13 2023-05-30 トヨタ自動車株式会社 Flood detection device, flood detection system, and flood detection program
JP7238729B2 (en) * 2019-10-24 2023-03-14 トヨタ自動車株式会社 Flood detection device, flood detection system, and flood detection program
CN111898890A (en) * 2020-07-20 2020-11-06 国网江苏省电力有限公司南京供电分公司 Flood diagnosis and scheduling method and system for urban power transmission line
CN113434565A (en) * 2021-03-15 2021-09-24 中国电建集团华东勘测设计研究院有限公司 Water conservancy flood control drought and waterlogging prevention comprehensive disaster reduction platform system based on CIM platform
CN113256117B (en) * 2021-05-26 2023-04-07 中铁第四勘察设计院集团有限公司 Underground infrastructure flood risk analysis system and method based on Internet of things

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106529782A (en) * 2016-11-02 2017-03-22 贵州电网有限责任公司贵阳供电局 Electric power emergency goods and materials comprehensive guarantee analysis and management platform and calculation method
CN106910018A (en) * 2017-02-23 2017-06-30 吉林大学 One kind rescue resource regulating method and system
CN108288120A (en) * 2017-12-25 2018-07-17 沈阳大学 A kind of flood emergency materials distribution analysis method
CN108320462A (en) * 2018-03-02 2018-07-24 中山市爱科应用科技有限公司 Urban Flood control early-warning and predicting system
CN111222662A (en) * 2018-11-26 2020-06-02 中国电力科学研究院有限公司 Power grid typhoon flood disaster early warning method and device
CN109933637A (en) * 2019-03-19 2019-06-25 北京航天宏图信息技术股份有限公司 A kind of flood risk Dynamic Display and analysis system
CN110135722A (en) * 2019-05-09 2019-08-16 苏州嘉奕晟中小企业科技咨询有限公司 Smart city flood processing system based on geographical integrated information
CN110532952A (en) * 2019-08-30 2019-12-03 四川大学 Flood disaster risk early warning and evacuation system based on GIS location technology
CN112327698A (en) * 2020-11-05 2021-02-05 叶远 Flood disaster early warning system and method based on Internet of things

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Multi-hazard probability assessment and mapping in Iran;Hamid Reza Pourghasemi等;《Science of The Total Environment》;20190717;第692卷;第556-571页 *
济南市河道洪水预报系统研究;王汉明;《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》;20180115;第C037-3页 *

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