CN112036612A - Urban waterlogging intelligent early warning system - Google Patents
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Abstract
The invention discloses an urban inland inundation intelligent early warning system which comprises a user layer, a cloud service layer, a cloud computing layer, a network transmission layer and a data acquisition layer, wherein the user layer is connected with the cloud service layer through a network; the data acquisition layer is used for monitoring and collecting the waterlogging situation and transmitting the acquired information to the cloud computing layer through the network transmission layer, and the cloud computing layer is used for carrying out standardized processing and analysis on the received information and carrying out the waterlogging situation prediction; the cloud service layer receives the flood situation forecast and carries out information interaction of the flood situation with the user layer through the network transmission layer; the method has the advantages of real-time urban waterlogging display, timely urban waterlogging prediction, timely and efficient information interaction, convenience for urban management and scheduling, and capability of reducing the influence of urban waterlogging to the maximum extent.
Description
Technical Field
The invention belongs to the technical field of waterlogging early warning, and particularly relates to an intelligent early warning system for urban waterlogging.
Background
Due to the regional diversity, the complexity of the framework and the abundance of people in cities, in heavy rainfall weather, the urban waterlogging is more and more common in recent years, and the urban waterlogging brings inconvenience to urban residents and also brings obstacles to various aspects such as urban comprehensive management, enterprise production, urban traffic and the like.
At present, there are many methods for studying the urban rainstorm waterlogging problem, such as a hydrological hydraulics simulation method, a comprehensive index system method, a historical disaster situation mathematical statistics method, etc., and although these methods have a certain academic and application value in the urban rainstorm waterlogging problem, there is still a lack of a simpler and more effective system for supporting decision-making services, professional services, public services, etc. of the urban rainstorm waterlogging problem. The corresponding waterlogging forecasting system can be used for rapidly and intelligently forecasting the waterlogging condition of the city while showing the real-time waterlogging condition to the public and various functional departments in the society, so that the influence of the waterlogging on urban residents and urban management is really reduced to the maximum extent.
Disclosure of Invention
The invention aims to provide an urban waterlogging intelligent early warning system, which can be used for predicting urban waterlogging by acquiring related information of waterlogging while acquiring urban waterlogging conditions and displaying the urban waterlogging in real time, and can be used for interacting with all functional departments and social people through a network, so that the functional departments can timely perform urban management and scheduling, the social people can timely know the urban waterlogging conditions, and the influence caused by waterlogging can be further avoided to the greatest extent by the functional departments and the social people.
The invention is realized by the following technical scheme:
an urban inland inundation intelligent early warning system comprises a user layer, a cloud service layer, a cloud computing layer, a network transmission layer and a data acquisition layer; the data acquisition layer is used for monitoring and collecting the waterlogging situation and transmitting the acquired information to the cloud computing layer through the network transmission layer, and the cloud computing layer is used for carrying out standardized processing and analysis on the received information and carrying out the waterlogging situation prediction; and the cloud service layer receives the flood situation forecast and carries out information interaction of the flood situation with the user layer through the network transmission layer.
The user layer, the cloud service layer, the cloud computing layer, the network transmission layer and the data acquisition layer are all in the same network and are connected through the network. The data acquisition layer acquires waterlogging information and traffic information through monitoring terminals such as a water level meter and a flow meter or receiving terminals such as an information receiving module, the waterlogging information comprises rainfall intensity information, water level information of each region of a city, flow information of a city drainage facility and the like, the data acquisition layer acquires information related to the waterlogging information and transmits the information to the cloud computing layer through the network transmission layer, the cloud computing layer carries out standardized processing on the received waterlogging information through a normal form database, a standard data table, an index standard, a data element standard and the like, so that a large amount of information is highly uniform, the subsequent quick and efficient analysis on various information is facilitated, the cloud computing layer analyzes the information after the standardization, predicts the regions where the waterlogging is likely to occur by combining the water level and the rainfall of each region of the city, and the cloud service layer receives the waterlogging prediction information after the analysis of the cloud computing layer through the network transmission layer, and then, carrying out information interaction on the waterlogging prediction information and a user layer through a network transmission layer, timely prompting the user on the waterlogging prediction information, conveniently checking whether waterlogging, waterlogging water level and other information occur in each region in a city or not through a cloud service layer by the user in the user layer, and uploading real-time waterlogging information to the cloud service layer through the network transmission layer by the user layer.
In order to better realize the invention, the cloud computing layer further comprises a data cloud computing module, a GIS cloud map module and a data standardization module, and the data standardization module is used for carrying out standardization processing on the information acquired by the data acquisition layer; the data cloud computing module is used for computing and analyzing the normalized information and predicting the waterlogging; and the GIS cloud map module is used for correspondingly displaying the waterlogging situation obtained by the data cloud computing module on the virtual map.
The data standardization module is used for standardizing and unifying a large amount of information related to the waterlogging flood conditions in modes of a normal form database, a standard data table, index specification formulation, data element specification formulation and the like, classifying the information according to different types of information, analyzing and predicting the waterlogging flood conditions in a city according to the standardized information, and meanwhile, the real-time information and the prediction information of the waterlogging flood conditions are sent to a cloud service layer in a form corresponding to each area on a map to be visually displayed by matching with a GIS cloud map module, and users in the user layer can directly check the information in the cloud service layer.
In order to better realize the invention, the data standardization module comprises a standard database, a data table module, an information coding module and an information classification module, wherein the information coding module is used for coding different information collected by the data collection layer; the information classification module classifies information according to the codes of different information; and the data table module generates a standardized data table from the classified information and stores the standardized data table in a standard database.
The information coding module firstly codes a large amount of information related to the waterlogging situation from the data acquisition layer according to principles of different areas, different information types, different time and the like, and then the information classification module classifies a large amount of information according to the information codes, so that the same type of information has the same or similar regionality, the same or similar timeliness and the same or similar type, for example, the information is classified according to the drainage facility flow information of a certain area in a certain time period. And then the data table module generates the classified information into a standardized data table by adopting data table naming specifications, data table size specifications, table partitioning specifications, table index specification formulation, index field specifications and the like and stores the standardized data table in a standard database, the standard database is constructed by adopting a normal form design principle, and the data cloud computing module calls the standardized information stored in the standard database to carry out computation analysis on the waterlogging flood conditions.
In order to better realize the invention, the data acquisition layer further comprises a rainfall intensity acquisition module, a road waterlogging monitoring module, a low-lying dangerous area monitoring module and a drainage facility monitoring module; the rainfall intensity acquisition module is used for acquiring the predicted rainfall information and the real-time rainfall information issued by a meteorological department; the road waterlogging monitoring module monitors and collects waterlogging water level information of various main roads and branch roads of the city through a water level monitoring device; the low-lying dangerous area monitoring module is used for monitoring and collecting waterlogging water level information of an urban low-lying area; the drainage facility monitoring module is used for monitoring and collecting water level information and flow information of each drainage ditch or drainage pipeline in a city.
In order to better realize the invention, the cloud service layer further comprises a dangerous area early warning module and an inland inundation flood uploading module; the dangerous area early warning module is used for displaying an area predicted to have waterlogging to a user layer and carrying out early warning; the waterlogging information uploading module is used for receiving waterlogging information uploaded by the user layer.
In order to better realize the invention, further, the user layer comprises a water department door module, a meteorological department module and a social public module, and the water department module is used for carrying out information interaction with the water department; the meteorological department module is used for performing information interaction with a meteorological department; the social public module is used for information interaction with the social public.
In order to better implement the present invention, further, the network transmission layer performs information transmission through a wired network or a wireless network.
In order to better implement the present invention, the network transport layer further performs information transmission through any one of NB-IOT, GPRS, optical fiber, and mobile network.
In order to better realize the invention, the cloud computing system further comprises a data storage layer and a data security management layer, wherein the data storage layer is used for storing information related to the data acquisition layer and the cloud computing layer, and the data security management layer is used for performing security protection on data stored in the data storage layer.
Compared with the prior art, the invention has the following advantages and beneficial effects:
(1) according to the urban inland inundation forecasting system, the data acquisition layer is arranged and used for acquiring road water level information, drainage facility flow information, dangerous area water level information, weather rainfall information and the like related to urban inland inundation, a large amount of information is subjected to standardized processing and analysis through the cloud computing layer, urban inland inundation is forecasted while real-time conditions of the urban inland inundation are obtained, then interaction is carried out with the user layer through the cloud service layer, so that functional departments and social public in the user layer can carry out services such as inland inundation condition inquiry and inland inundation condition uploading through the cloud service layer, and the data acquisition layer, the cloud computing layer, the cloud service layer and the user layer are connected through the same network transmission layer, so that efficient information transmission can be achieved; the method has the advantages of real-time urban waterlogging display, timely urban waterlogging prediction and timely and efficient information interaction;
(2) according to the invention, the data standardization module is arranged in the cloud computing layer and is used for carrying out coding and classifying standardization processing on a large amount of information acquired by the data acquisition layer, so that the influence of redundant information is avoided; then, the normalized information is calculated and analyzed through the data cloud computing module to realize the functions of displaying urban real-time waterlogging and predicting urban waterlogging, and meanwhile, the real-time waterlogging information, the waterlogging predicting information and a map are combined with each other through the GIS cloud map module to be visually and vividly displayed, so that a user can conveniently, conveniently and visually check the waterlogging condition; the urban waterlogging forecasting method has the beneficial effects that urban waterlogging forecasting is efficient and timely, and urban waterlogging conditions are displayed visually;
(3) the cloud service layer interacts with the user layer, the user layer comprises social masses, and also comprises functional departments such as a tax department, a traffic department, a meteorological department and the like, the social masses and the functional departments can enjoy the services such as urban real-time waterlogging display, traffic condition display, urban waterlogging prediction and the like on the cloud service layer, and meanwhile, the social masses and the functional departments can also upload information related to waterlogging to the cloud service layer to update and interact the information in time, so that the functional departments can manage and dispatch the information in time, and the social public can avoid the influence of the waterlogging to the maximum extent; the invention has the advantages of timely information interaction, convenience for city management and scheduling and furthest reduction of urban waterlogging influence.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic diagram of a data normalization module.
Detailed Description
Example 1:
the intelligent urban inland inundation early warning system of the embodiment is shown in fig. 1 and comprises a user layer, a cloud service layer, a cloud computing layer, a network transmission layer and a data acquisition layer; the data acquisition layer is used for monitoring and collecting the waterlogging situation and transmitting the acquired information to the cloud computing layer through the network transmission layer, and the cloud computing layer is used for carrying out standardized processing and analysis on the received information and carrying out the waterlogging situation prediction; and the cloud service layer receives the flood situation forecast and carries out information interaction of the flood situation with the user layer through the network transmission layer.
The user layer, the cloud service layer, the cloud computing layer, the network transmission layer and the data acquisition layer are all connected through a unified network, the data acquisition layer acquires water levels or precipitation conditions of all regions in the city through monitoring terminals such as a water level meter and a flowmeter, the water level meter, the flowmeter and other various monitoring terminals are manually arranged on all streets and drainage facilities in the city, the waterlogging conditions of all regions in the city can be monitored in real time through the monitoring terminals, and meanwhile, the data acquisition layer receives weather information, water service information and the like issued by relevant departments such as a weather bureau, a traffic bureau and a water service department through the network transmission layer, namely, the data acquisition layer not only acquires real-time information of the waterlogging conditions in the city through the monitoring terminals, but also synchronously acquires the weather information and the water service information.
The cloud computing layer receives information from the data acquisition layer through the network transmission layer, and carries out standardized processing and analysis on the acquired information, wherein the standardized processing comprises the steps of classifying codes of the information, and processing the received flood information through a normal form database, a normal data table, an index specification, a data element specification and the like. Meanwhile, the cloud computing layer carries out real-time monitoring and prediction on the urban waterlogging according to the normalized information, and if the cloud computing layer analyzes the water level information and the drainage facility flow information of a certain area in the city which are monitored in real time, whether the waterlogging occurs in the area is obtained; if the received rainfall information and the received real-time water level information of a certain area, which are issued by the weather bureau, are analyzed through the cloud computing layer, whether the area has the waterlogging or not is predicted.
The cloud computing layer transmits the result obtained after computing and analyzing to the cloud service layer through the network transmission layer, and the cloud service layer can send the waterlogging situation to the user layer through media such as mobile phones, computers, LED screens, broadcasting, short messages and the like and provide corresponding services, such as the services of waterlogging area inquiry, waterlogging area water level display, waterlogging area traffic information display and the like. Meanwhile, the user layer can upload real-time waterlogging information of the area where the client is located to the cloud service layer through media such as an APP platform, a computer client and short messages on the mobile phone through the network transmission layer, and real-time updating of the waterlogging information is carried out.
Example 2:
in this embodiment, further optimization is performed on the basis of embodiment 1, as shown in fig. 1, the cloud computing layer includes a data cloud computing module, a GIS cloud map module, and a data standardization module, and the data standardization module is configured to perform standardized processing on information acquired by the data acquisition layer; the data cloud computing module is used for computing and analyzing the normalized information and predicting the waterlogging; and the GIS cloud map module is used for correspondingly displaying the waterlogging situation obtained by the data cloud computing module on the virtual map.
The data standardization module is used for standardizing and unifying a large amount of information related to the waterlogging flood conditions in modes of a normal form database, a standard data table, index specification formulation, data element specification formulation and the like, classifying the information according to different types of information, analyzing and predicting the waterlogging flood conditions in a city according to the standardized information, and meanwhile, the real-time information and the prediction information of the waterlogging flood conditions are sent to a cloud service layer in a form corresponding to each area on a map to be visually displayed by matching with a GIS cloud map module, and users in the user layer can directly check the information in the cloud service layer.
Other parts of this embodiment are the same as embodiment 1, and thus are not described again.
Example 3:
in this embodiment, further optimization is performed on the basis of the foregoing embodiment 1 or 2, as shown in fig. 2, the data standardization module includes a standard database, a data table module, an information encoding module, and an information classification module, and the information encoding module is configured to encode different information acquired by the data acquisition layer; the information classification module classifies information according to the codes of different information; and the data table module generates a standardized data table from the classified information and stores the standardized data table in a standard database.
The information coding module codes a large amount of information acquired by the data acquisition layer, for example, the information is correspondingly coded according to the region, time node, time period, information type and the like to which the information belongs, for example, the water level information corresponding to a certain region in a certain time period is coded. Then, a large amount of information is sorted and classified according to different codes of different information through an information classification module.
The data table module generates the classified information into a normalized data table, and the normalized data table is generated mainly through the modes of data table standard naming, data table standard size, data table standard sub-table partitioning, data table standard indexing, data table and database connection standard and the like. For example, the service information in the specification naming of the data table is named at the beginning of T, the relationship information is named at the beginning of M, the system information is named at the beginning of SYS, and the like; the standard size of the data table is not more than 2 GB; the data table standard index requires that the number of indexes is within five once, the single-segment index does not exceed two fields, the composite index does not exceed three fields, and the LOCAL index is used in the partition table.
The standard database is used for storing a normalized data table, the standard database is designed in a normal form, and the standard database meets the requirements of a third normal form in order to avoid the conditions of data redundancy, abnormal data updating, abnormal data insertion or deletion and the like.
The rest of this embodiment is the same as embodiment 1 or 2, and therefore, the description thereof is omitted.
Example 4:
the embodiment is further optimized on the basis of any one of the embodiments 1 to 3, and as shown in fig. 1, the data acquisition layer comprises a rainfall intensity acquisition module, a road waterlogging monitoring module, a low-lying dangerous area monitoring module and a drainage facility monitoring module; the rainfall intensity acquisition module is used for acquiring the predicted rainfall information and the real-time rainfall information issued by a meteorological department; the road waterlogging monitoring module monitors and collects waterlogging water level information of various main roads and branch roads of the city through a water level monitoring device; the low-lying dangerous area monitoring module is used for monitoring and collecting waterlogging water level information of an urban low-lying area; the drainage facility monitoring module is used for monitoring and collecting water level information and flow information of each drainage ditch or drainage pipeline in a city.
The rainfall intensity collecting module collects rainfall intensity of a certain region of a city through receiving meteorological information of a meteorological bureau or monitoring terminals such as a water level meter, the road waterlogging monitoring module collects water level information of all roads in the city through the monitoring terminals such as the water level meter and a flow meter which are arranged on all the roads in the city, the low-lying dangerous area monitoring module monitors the water level information through the monitoring terminals such as the water level meter which are arranged on the low-lying dangerous region in the city, and the drainage facility monitoring module collects flow information of a drainage facility through the monitoring terminals such as the flow meter which are arranged in all the drainage pipelines or ditches.
The information related to the waterlogging flood conditions is collected by the data collection layer and then transmitted to the cloud computing layer through the network transmission layer, and the cloud computing layer performs comprehensive analysis according to the collected rainfall, water level and regions, so that the real-time waterlogging flood conditions or the possible waterlogging conditions of each region in the city are obtained.
Other parts of this embodiment are the same as any of embodiments 1 to 3, and thus are not described again.
Example 5:
the embodiment is further optimized on the basis of any one of the embodiments 1 to 4, and as shown in fig. 1, the cloud service layer includes a dangerous area early warning module and an inland flood condition uploading module; the dangerous area early warning module is used for displaying an area predicted to have waterlogging to a user layer and carrying out early warning; the waterlogging information uploading module is used for receiving waterlogging information uploaded by the user layer.
The cloud service layer is based on media such as a mobile phone APP platform, a computer client, an electronic advertisement screen, an electronic LED screen, a communication network and broadcasting, and issues real-time waterlogging or forecast waterlogging to the user layer. The user layer accessible network transmission layer acquires various services in the cloud service layer, if the user logs in the dangerous area early warning module in the cloud service layer through media such as cell-phone APP platform, believe platform a little, computer client, can look over the dangerous area that takes place the waterlogging in the city in real time, also can carry out the early warning to the dangerous area that probably takes place the waterlogging simultaneously. Meanwhile, the user can upload the waterlogging information of the area where the user is located to the waterlogging condition uploading module through the network transmission layer in various modes such as characters, pictures and videos, so that the waterlogging condition can be updated in time.
Other parts of this embodiment are the same as any of embodiments 1 to 4, and thus are not described again.
Example 6:
the embodiment is further optimized on the basis of any one of the embodiments 1 to 5, and as shown in fig. 1, the user layer includes a water department gate module, a weather department module and a social public module, and the water department module is used for performing information interaction with the water department; the meteorological department module is used for performing information interaction with a meteorological department; the social public module is used for information interaction with the social public.
The user layer not only faces social public, but also is connected with related departments such as a meteorological department and a water service department, and the meteorological department and the water service department are users and provide sources of related information of the waterlogging. If the meteorological department can upload real-time meteorological information through the user layer, the water affair department can upload water affair information through the user layer in real time, and the social public can conveniently check related information through the user layer.
Other parts of this embodiment are the same as any of embodiments 1 to 5, and thus are not described again.
Example 7:
this embodiment is further optimized based on any one of the embodiments 1 to 6, and the network transport layer performs information transmission through a wired network or a wireless network.
The network transmission layer can realize the connection between the layers through a wireless network, and can also realize the connection between the layers through a wired network.
Other parts of this embodiment are the same as any of embodiments 1 to 6, and thus are not described again.
Example 8:
this embodiment is further optimized based on any one of the above embodiments 1 to 7, and as shown in fig. 1, the network transport layer performs information transmission through any one of NB-IOT, GPRS, optical fiber, and mobile network.
The network transmission layer is in wireless connection through wireless networks such as NB-IOT, GPRS, 3G and 4G, and therefore a client can conveniently check the waterlogging information at any time and any place; for large units, residential areas, etc., the connection is made via a wired network of optical fibers.
Other parts of this embodiment are the same as any of embodiments 1 to 7, and thus are not described again.
Example 9:
the present embodiment is further optimized based on any one of embodiments 1 to 8, and as shown in fig. 1, the present embodiment further includes a data storage layer and a data security management layer, where the data storage layer is used to store information related to the data acquisition layer and the cloud computing layer, and the data security management layer is used to perform security protection on data stored in the data storage layer.
The data storage layer is used for storing all information data from the data acquisition layer, the cloud computing layer, the cloud service layer and the client layer and backing up the information data. And meanwhile, the data storage layer is connected with the data security management layer, and the data security management layer adopts a general security management method to protect the information data in the data storage layer.
Other parts of this embodiment are the same as any of embodiments 1 to 8, and thus are not described again.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications and equivalent variations of the above embodiments according to the technical spirit of the present invention are included in the scope of the present invention.
Claims (9)
1. An urban inland inundation intelligent early warning system is characterized by comprising a user layer, a cloud service layer, a cloud computing layer, a network transmission layer and a data acquisition layer; the data acquisition layer is used for monitoring and collecting the waterlogging situation and transmitting the acquired information to the cloud computing layer through the network transmission layer, and the cloud computing layer is used for carrying out standardized processing and analysis on the received information and carrying out the waterlogging situation prediction; and the cloud service layer receives the flood situation forecast and carries out information interaction of the flood situation with the user layer through the network transmission layer.
2. The urban waterlogging intelligent early warning system according to claim 1, wherein the cloud computing layer comprises a data cloud computing module, a GIS cloud map module and a data standardization module, and the data standardization module is used for carrying out standardization processing on information collected by the data collection layer; the data cloud computing module is used for computing and analyzing the normalized information and predicting the waterlogging; and the GIS cloud map module is used for correspondingly displaying the waterlogging situation obtained by the data cloud computing module on the virtual map.
3. The urban waterlogging intelligent early warning system according to claim 2, wherein the data standardization module comprises a standard database, a data table module, an information coding module and an information classification module, wherein the information coding module is used for coding different information collected by the data collection layer; the information classification module classifies information according to the codes of different information; and the data table module generates a standardized data table from the classified information and stores the standardized data table in a standard database.
4. The intelligent urban waterlogging early warning system according to claim 1, wherein the data acquisition layer comprises a rainfall intensity acquisition module, a road waterlogging monitoring module, a low-lying dangerous area monitoring module and a drainage facility monitoring module; the rainfall intensity acquisition module is used for acquiring the predicted rainfall information and the real-time rainfall information issued by a meteorological department; the road waterlogging monitoring module monitors and collects waterlogging water level information of various main roads and branch roads of the city through a water level monitoring device; the low-lying dangerous area monitoring module is used for monitoring and collecting waterlogging water level information of an urban low-lying area; the drainage facility monitoring module is used for monitoring and collecting water level information and flow information of each drainage ditch or drainage pipeline in a city.
5. The urban waterlogging intelligent early warning system according to claim 1, wherein the cloud service layer comprises a dangerous area early warning module and a waterlogging condition uploading module; the dangerous area early warning module is used for displaying an area predicted to have waterlogging to a user layer and carrying out early warning; the waterlogging information uploading module is used for receiving waterlogging information uploaded by the user layer.
6. The intelligent urban inland inundation early warning system according to claim 1, wherein the user layer comprises a water department gate module, a meteorological department module and a social public module, and the water department module is used for information interaction with a water department; the meteorological department module is used for performing information interaction with a meteorological department; the social public module is used for information interaction with the social public.
7. The intelligent early warning system for urban waterlogging according to claim 1, wherein the network transmission layer performs information transmission through a wired network or a wireless network.
8. The intelligent early warning system of urban waterlogging according to claim 7, wherein the network transport layer is configured to transmit information through any one of NB-IOT, GPRS, optical fiber, and mobile network.
9. The urban waterlogging intelligent early warning system according to claim 1, further comprising a data storage layer and a data security management layer, wherein the data storage layer is used for storing information related to the data acquisition layer and the cloud computing layer, and the data security management layer is used for performing security protection on data stored in the data storage layer.
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| CN202010814678.9A CN112036612A (en) | 2020-08-13 | 2020-08-13 | Urban waterlogging intelligent early warning system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113110200A (en) * | 2021-04-26 | 2021-07-13 | 成都环极科技有限公司 | Urban waterlogging early warning system based on weather and rainfall flood model |
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