Urban drainage monitoring and early warning method and system

文档序号:1686354 发布日期:2020-01-03 浏览:17次 中文

阅读说明:本技术 一种城市排水监测预警方法和系统 (Urban drainage monitoring and early warning method and system ) 是由 王超楠 郭慧杰 李雨龙 冯鑫 于 2019-08-28 设计创作,主要内容包括:本申请公开了一种城市排水监测预警方法和系统,解决了现有技术预测范围小和准确性较低的问题。一种城市排水监测预警方法,包含步骤:收集历史气象数据生成短时降雨预测模型;通过实时气象数据和短时降雨预测模型,得到预测降雨数据;使用预测降雨数据和SWMM模型技术计算短时排水模型。一种城市排水监测预警系统,包含:气象数据模块,定期收集区域内的历史气象数据。在线监测模块,采集实时气象数据。降雨预测模块,接收短时降雨预测模型和实时气象数据计算预测降雨数据。SWMM计算模块,接收预测降雨数据,计算短时排水模型。本申请对城市区域的降雨进行预测,弥补了现有技术预测范围和准确度方面的欠缺。(The application discloses a method and a system for monitoring and early warning of urban drainage, which solve the problems of small prediction range and low accuracy in the prior art. A city drainage monitoring and early warning method comprises the following steps: collecting historical meteorological data to generate a short-term rainfall prediction model; obtaining forecast rainfall data through real-time meteorological data and a short-time rainfall forecast model; the short-time drainage model was calculated using the predicted rainfall data and the SWMM model technique. A city drainage monitoring and early warning system comprises: and the meteorological data module is used for periodically collecting historical meteorological data in the area. And the online monitoring module is used for acquiring real-time meteorological data. And the rainfall prediction module is used for receiving the short-time rainfall prediction model and the real-time meteorological data to calculate and predict rainfall data. And the SWMM calculation module is used for receiving the predicted rainfall data and calculating the short-time drainage model. The method and the device for forecasting the rainfall of the urban area make up for the defects in the aspects of forecasting range and accuracy in the prior art.)

1. A city drainage monitoring and early warning method is characterized by comprising the following steps:

collecting X years of historical meteorological data in the region, and simulating to generate a region short-term rainfall prediction model;

obtaining forecast rainfall data through regional real-time meteorological data and a regional short-time rainfall forecast model;

and calculating a short-time drainage model of the area by using an SWMM model technology and the predicted rainfall data.

2. The municipal drainage monitoring and early warning method according to claim 1, further comprising the steps of:

and dividing the waterlogging risk level according to the regional short-time drainage model, and predicting the waterlogging risk.

3. The municipal drainage monitoring and early warning method according to claim 1, further comprising the steps of:

and evaluating the short-term rainfall prediction model of the area by using the predicted rainfall data and the real-time rainfall data.

4. The municipal drainage monitoring and early warning method according to claim 1, further comprising the steps of:

and (4) evaluating the regional short-time drainage model by using the SWMM model to calculate liquid level and flow data and the actually monitored liquid level and flow data.

5. The municipal drainage monitoring and early warning method according to claim 1, wherein the real-time meteorological data comprises temperature, humidity, air pressure, wind speed and rainfall data.

6. The urban drainage monitoring and early warning method according to claim 1, wherein the data for constructing the SWMM model comprises pipe network census data, land use type data, auxiliary structure data and sponge measure data.

7. The urban drainage monitoring and early warning method according to claim 4, wherein the actually monitored liquid level and flow data comprise liquid level data of important points such as drainage canals, inspection wells, drainage ports, sunken roads, underground parking lots, urban river and lake water systems and the like.

8. A city drainage monitoring and early warning system using the method of any one of claims 1 to 7, comprising: the rainfall forecasting system comprises a meteorological data module, an online monitoring module, a rainfall forecasting module and an SWMM calculation module;

the meteorological data module is used for collecting meteorological data in the area regularly, constructing a short-time rainfall prediction model and conveying the short-time rainfall prediction model to the rainfall prediction module;

the online monitoring module is used for collecting real-time meteorological data and transmitting the real-time meteorological data to the rainfall prediction module;

the rainfall prediction module receives a short-time rainfall prediction model and real-time meteorological data to obtain predicted rainfall data;

and the SWMM calculation module receives the predicted rainfall data and calculates a short-time drainage model.

9. The municipal drainage monitoring and early warning system according to claim 8, further comprising: an inland inundation early warning module;

the waterlogging early warning module receives the short-time drainage model sent by the SWMM calculation module, carries out waterlogging risk grade division, pre-judges waterlogging risks in advance and issues early warning information.

10. The municipal drainage monitoring and early warning system according to claim 8, further comprising: a rainfall prediction evaluation module and an SWMM evaluation module;

the rainfall prediction module is used for evaluating the prediction precision of the short-time rainfall prediction model through the predicted rainfall data and the actually detected rainfall data;

and the SWMM evaluation module is used for evaluating the regional short-time drainage model by using the SWMM model to calculate the liquid level and flow data and the actually monitored liquid level and flow data.

Technical Field

The application relates to the field of urban drainage monitoring and early warning, in particular to an urban drainage monitoring and early warning method and system.

Background

In the current urban rainfall flood management work, the SWMM model technology is often used, a real rainstorm event is simulated based on the monitoring rainfall, the water quantity space-time distribution of an urban drainage pipe network is predicted, the drainage capacity of a drainage system is evaluated, and flood early warning is carried out. But the method has great defects in the aspects of prediction range and accuracy due to the lack of more accurate future rainfall prediction data.

Disclosure of Invention

The embodiment of the application provides a method and a system for monitoring and early warning of urban drainage, and solves the problems of small prediction range and low accuracy in the prior art.

The application provides a city drainage monitoring and early warning method, which comprises the following steps:

collecting X years of historical meteorological data in the region, and simulating to generate a region short-term rainfall prediction model;

obtaining forecast rainfall data through regional real-time meteorological data and a regional short-time rainfall forecast model;

and calculating a short-time drainage model of the area by using an SWMM model technology and the predicted rainfall data.

Further, the method also comprises the following steps:

and dividing the waterlogging risk level according to the regional short-time drainage model, and predicting the waterlogging risk.

Preferably, the method further comprises the steps of:

and evaluating the short-term rainfall prediction model of the area by using the predicted rainfall data and the real-time rainfall data.

Preferably, the method further comprises the steps of:

and (4) evaluating the regional short-time drainage model by using the SWMM model to calculate liquid level and flow data and the actually monitored liquid level and flow data.

Preferably, the real-time meteorological data comprises temperature, humidity, barometric pressure, wind speed and rainfall data.

Preferably, the data for constructing the SWMM model includes pipe network census data, land use type data, auxiliary structure data, and sponge measure data.

Preferably, the actually monitored liquid level and flow data includes liquid level data of important points such as drainage canals, inspection wells, drainage ports, sunken roads, underground parking lots, urban river and lake water systems and the like.

This application still provides a city drainage monitoring early warning system, contains: the rainfall forecasting system comprises a meteorological data module, an online monitoring module, a rainfall forecasting module and an SWMM calculation module;

the meteorological data module is used for collecting meteorological data in the area regularly, constructing a short-time rainfall prediction model and conveying the short-time rainfall prediction model to the rainfall prediction module;

the online monitoring module is used for collecting real-time meteorological data and transmitting the real-time meteorological data to the rainfall prediction module;

the rainfall prediction module receives the short-time rainfall prediction model and the real-time meteorological data to obtain predicted rainfall data.

And the SWMM calculation module receives the predicted rainfall data and calculates a short-time drainage model.

Further, the method also comprises the following steps: an inland inundation early warning module;

the waterlogging early warning module receives the prediction result of the SWMM calculation module, carries out waterlogging risk grade division, pre-judges waterlogging risks in advance and issues early warning information.

Preferably, it further comprises: a rainfall prediction evaluation module and an SWMM evaluation module;

the rainfall prediction module is used for evaluating the prediction precision of the short-time rainfall prediction model through the predicted rainfall data and the actually detected rainfall data;

and the SWMM evaluation module is used for evaluating the regional short-time drainage model by using the SWMM model to calculate the liquid level and flow data and the actually monitored liquid level and flow data.

The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects:

the method integrates monitoring, forecasting and decision-making, and provides an effective decision-making basis for coping with urban waterlogging risks in advance. The method has the advantages that the big data technology is utilized to carry out statistical processing and mining analysis on various meteorological observation data such as temperature, humidity, air pressure and rainfall, the rainfall of the urban area is predicted, the SWMM model technology is combined to simulate the drainage capacity of the urban drainage system, the shortage of the SWMM model in the aspects of prediction range and accuracy due to the lack of accurate future rainfall prediction data is made up to a certain extent, and the method has important theoretical and practical significance for improving the early warning accuracy of urban flood disasters.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

FIG. 1 is a flow chart of an embodiment of a method for monitoring and warning urban drainage;

FIG. 2 is a flow chart of another embodiment of a method for monitoring and warning urban drainage;

FIG. 3 is a flow chart of a third embodiment of a method for monitoring and warning urban drainage;

FIG. 4 is a schematic diagram of a short-term rainfall prediction model in a neural network region;

fig. 5 is a structure diagram of a city drainage monitoring and early warning.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.

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