CN113110200A - Urban waterlogging early warning system based on weather and rainfall flood model - Google Patents
Urban waterlogging early warning system based on weather and rainfall flood model Download PDFInfo
- Publication number
- CN113110200A CN113110200A CN202110455155.4A CN202110455155A CN113110200A CN 113110200 A CN113110200 A CN 113110200A CN 202110455155 A CN202110455155 A CN 202110455155A CN 113110200 A CN113110200 A CN 113110200A
- Authority
- CN
- China
- Prior art keywords
- data
- early warning
- module
- rainfall
- waterlogging
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 75
- 238000012545 processing Methods 0.000 claims abstract description 29
- 238000007726 management method Methods 0.000 claims abstract description 21
- 238000013500 data storage Methods 0.000 claims abstract description 10
- 238000007405 data analysis Methods 0.000 claims abstract description 9
- 238000001514 detection method Methods 0.000 claims description 21
- 238000004458 analytical method Methods 0.000 claims description 14
- 230000005540 biological transmission Effects 0.000 claims description 11
- 239000007788 liquid Substances 0.000 claims description 11
- 238000004088 simulation Methods 0.000 claims description 11
- 238000009825 accumulation Methods 0.000 claims description 8
- 238000007689 inspection Methods 0.000 claims description 8
- 238000012423 maintenance Methods 0.000 claims description 5
- 239000002352 surface water Substances 0.000 claims description 5
- 239000002349 well water Substances 0.000 claims description 5
- 235000020681 well water Nutrition 0.000 claims description 5
- 238000012216 screening Methods 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 230000008676 import Effects 0.000 claims description 3
- 230000008520 organization Effects 0.000 claims description 3
- 238000007619 statistical method Methods 0.000 claims description 3
- 238000013499 data model Methods 0.000 claims description 2
- 238000007654 immersion Methods 0.000 claims 1
- 238000012544 monitoring process Methods 0.000 abstract description 25
- 230000002265 prevention Effects 0.000 abstract description 7
- 230000003993 interaction Effects 0.000 abstract description 4
- 230000010485 coping Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 7
- 230000007246 mechanism Effects 0.000 description 5
- 238000000034 method Methods 0.000 description 5
- 230000006854 communication Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007175 bidirectional communication Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 239000003673 groundwater Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses an urban waterlogging early warning system based on a weather and rainfall flood model, which comprises the following components: the system comprises an internet of things data acquisition end, a data processing system, a data processing cloud platform module, a meteorological data storage and analysis system, an early warning release module and a decision scheduling module. The invention can realize real-time early warning and monitoring of rain conditions, water conditions, working conditions and disaster conditions, and real-time interaction of the working conditions of flood prevention business; the remote monitoring of the operation of the pump gate station improves the emergency capacity of a city management department for coping with crisis events such as pipeline breakage, rain flood, waterlogging and the like by providing decision support of management work such as monitoring early warning, flood prevention scheduling, post-disaster reconstruction and the like, and ensures the stable operation of a drainage system.
Description
Technical Field
The invention relates to the technical field of Internet of things and big data, in particular to an urban waterlogging early warning system based on a weather and rainfall flood model.
Background
At present, most urban waterlogging early warning systems are provided with independent liquid level sensors and warning finger display screens aiming at urban underpass tunnels and low recesses for carrying out waterlogging early warning, and functional modules such as rainfall meteorological data, waterlogging grade judgment, emergency command and the like cannot be deeply integrated, so that the system is single in function and lack of interaction; the existing drainage system has poor operation stability and poor emergency capacity for critical events such as pipeline blockage, rain flood, waterlogging and the like. The traditional urban waterlogging monitoring and early warning system is often not closely related to an urban emergency command system, so that the waterlogging drainage efficiency is influenced, and the early warning and forecasting functions are single.
Disclosure of Invention
The present invention aims to solve the above problems and provide an urban waterlogging early warning system based on a weather and rainfall flood model, comprising:
the data acquisition end of the Internet of things is used for acquiring water level data, flow rate data and pump station running state data of a plurality of detection points and displaying early warning and alarming results in real time; the detection point water level data comprises surface water accumulation depth data, river channel and pipe network inspection well water level data;
the data processing module is used for decoding, removing the duplicate, screening, converting the format, classifying, calculating, checking, carrying out statistical analysis and backing up on the received data, combining the decoded water level data, flow rate data and pump station running state data with GIS digital geographic information and weather forecast information, writing the data into a cloud management platform library, carrying out matching analysis on the received data, a cloud database, a cloud case library and a cloud plan library, and sending a matching analysis result to the early warning release module;
the data processing cloud platform module is used for establishing a cloud management platform library comprising a cloud database, a cloud case library and a cloud plan library, sending data transmitted by the acquisition end to the SWMM rain flood model server, carrying out automatic analysis and simulation by the SWMM rain flood model server, receiving early warning data transmitted by the SWMM rain flood model server in real time, comparing the early warning data with the cloud case library, judging the waterlogging level and simulating and analyzing the drainage condition and the drainage capacity of the drainage system;
the SWMM rainfall flood model server is used for establishing a SWMM rainfall flood analysis model, topographic map data, urban underlying surface data, pipe network data, river and lake boundary data are stored in the SWMM rainfall flood model server, and meanwhile, the SWMM rainfall flood model server uses the stored topographic map data, underlying surface data and pipe network data to import rainfall data and water level data transmitted by a cloud platform into the SWMM rainfall flood model, so that the drainage capacity of a city under the current rainfall is simulated, a simulation result is stored, parameters of important points are transmitted to the cloud platform, and the cloud platform performs comparison and early warning;
the meteorological data storage and analysis system is used for receiving and storing meteorological data, and the meteorological data come from a rainfall radar echo map provided by a meteorological station and a meteorological department;
early warning issuing module includes: the waterlogging early warning display module is used for carrying out three-dimensional display of water level information, early warning display of waterlogging of detection points and early warning display of rainfall through analog simulation; the waterlogging information query module is used for inquiring waterlogging information and meteorological information; the system comprises a waterlogging disaster management module for summarizing and reporting abnormal data of detection points and a data maintenance module for generating or deriving urban ponding data, urban geographic data and waterlogging grade information, displaying distribution of the detection points on a GIS map, displaying dynamic data of the detection points in a graph and report form mode, and early warning and alarming the over-alert detection points;
the decision scheduling module is used for presetting a scheduling scheme and scheduling according to the personnel block organization architecture and the emergency scheme;
the data acquisition end of the Internet of things, the SWMM rain flood model module, the meteorological data storage and analysis system, the early warning release module and the decision scheduling module are respectively connected with the data processing cloud platform module.
The invention has the beneficial effects that: the invention can realize real-time early warning and monitoring of rain conditions, water conditions, working conditions and disaster conditions, and real-time interaction of the working conditions of flood prevention business; the remote monitoring of the operation of the pump gate station improves the emergency capacity of a city management department for coping with crisis events such as pipeline breakage, rain flood, waterlogging and the like by providing decision support of management work such as monitoring early warning, flood prevention scheduling, post-disaster reconstruction and the like, and ensures the stable operation of a drainage system.
Drawings
FIG. 1 is a schematic block diagram of the system of the present invention;
FIG. 2 is a schematic diagram of surface water data acquisition;
FIG. 3 is a pump station operating condition data acquisition topology
FIG. 4 is a schematic diagram of a river water level data acquisition topology;
FIG. 5 is water level data of a pipe network inspection well;
FIG. 6 is a schematic diagram of a data processing cloud platform module;
FIG. 7 is a functional diagram of a data processing cloud platform module;
fig. 8 is a functional diagram of an early warning issuance module.
Detailed Description
The invention will be further described with reference to the accompanying drawings in which:
as shown in fig. 1, the urban waterlogging early warning system based on the weather and rainfall flood model of the invention comprises:
the data acquisition end of the Internet of things is used for acquiring water level data, flow rate data and pump station running state data of a plurality of detection points and displaying early warning and alarming results in real time; the detection point water level data comprises surface water accumulation depth data, river channel and pipe network inspection well water level data;
the data processing module is used for decoding, removing the duplicate, screening, converting the format, classifying, calculating, checking, carrying out statistical analysis and backing up on the received data, combining the decoded water level data, flow rate data and pump station running state data with GIS digital geographic information and weather forecast information, writing the data into a cloud management platform library, carrying out matching analysis on the received data, a cloud database, a cloud case library and a cloud plan library, and sending a matching analysis result to the early warning release module;
as shown in fig. 7, the data processing cloud platform module establishes a cloud management platform library including a cloud database, a cloud case library and a cloud plan library, transmits data transmitted by the acquisition end to the SWMM rainfall flood model server, performs automatic analysis and simulation by the SWMM rainfall flood model server, receives early warning data transmitted by the SWMM rainfall flood model server in real time, compares the early warning data with the cloud case library, judges the waterlogging level, and simulates and analyzes the drainage condition and the drainage capacity of the drainage system;
the SWMM rainfall flood model server is used for establishing a SWMM rainfall flood analysis model, topographic map data, urban underlying surface data, pipe network data, river and lake boundary data are stored in the SWMM rainfall flood model server, and meanwhile, the SWMM rainfall flood model server uses the stored topographic map data, underlying surface data and pipe network data to import rainfall data and water level data transmitted by a cloud platform into the SWMM rainfall flood model, so that the drainage capacity of a city under the current rainfall is simulated, a simulation result is stored, parameters of important points are transmitted to the cloud platform, and the cloud platform performs comparison and early warning;
the meteorological data storage and analysis system is used for receiving and storing meteorological data, and the meteorological data come from a rainfall radar echo map provided by a meteorological station and a meteorological department;
early warning issuing module includes: the waterlogging early warning display module is used for carrying out three-dimensional display of water level information, early warning display of waterlogging of detection points and early warning display of rainfall through analog simulation; the waterlogging information query module is used for inquiring waterlogging information and meteorological information; the system comprises a waterlogging disaster management module for summarizing and reporting abnormal data of detection points and a data maintenance module for generating or deriving urban ponding data, urban geographic data and waterlogging grade information, displaying distribution of the detection points on a GIS map, displaying dynamic data of the detection points in a graph and report form mode, and early warning and alarming the over-alert detection points;
the decision scheduling module is used for presetting a scheduling scheme and scheduling according to the personnel block organization architecture and the emergency scheme;
the data acquisition end of the Internet of things, the SWMM rain flood model module, the meteorological data storage and analysis system, the early warning release module and the decision scheduling module are respectively connected with the data processing cloud platform module.
Preferably, the data acquisition end of the internet of things comprises a data acquisition module, an LED display screen, a processing unit and a wireless data transmission module; the data acquisition module, the wireless data transmission module and the LED display screen are respectively connected with the processing unit; the data acquisition module is one or more of a rain gauge, a water level gauge, a flow meter and an electronic water gauge.
Preferably, the water level gauge is a drop-in water level gauge or an ultrasonic water level gauge or a radar water level gauge.
Preferably, the pump station operation state data includes pump station liquid level, flow, pipeline pressure, and current and voltage of the water pump.
Preferably, the data acquisition end of the internet of things for acquiring the running state data of the pump station comprises an electromagnetic flowmeter, a pressure transmitter, a liquid level meter, an industrial camera, a frequency converter and a wireless data transmission module; the electromagnetic flowmeter, the pressure transmitter, the liquid level meter, the industrial camera and the frequency converter are respectively connected with the wireless data transmission module.
Preferably, the SWMM rainfall flood relation model comprises: the receiving and converting module is used for receiving real-time meteorological rainfall information transmitted by the cloud platform database; and the SWMM rainfall flood relation data model processing unit.
The invention relates to an urban waterlogging early warning and monitoring and scheduling system based on a weather and rainfall flood model, which is used for optimizing urban waterlogging monitoring early warning and commanding and scheduling and specifically comprises the following steps: the system comprises an internet of things data acquisition end, a data processing cloud platform module, an SWMM rain flood model module, a meteorological data storage and analysis system, an early warning release module and a decision scheduling module.
And the Internet of things data acquisition end is provided with Internet of things data acquisition equipment and is used for acquiring surface water accumulation data, pump station running state data, river water level data and pipe network inspection well water level data. Acquiring image data through a camera, and displaying the image data through an LED display screen; the method comprises the steps that accumulated water data are collected by a remote monitoring station to obtain urban ground accumulated water collection information (water level, rainfall and flow data) and converted into transmittable data, monitoring stations distributed in key waterlogging areas of an urban area transmit the collected data to a monitoring center through GPRS/4G/5G wireless transmission to provide real-time data for a system, and the transmission mode is carried out in a self-reporting and inquiring mode, so that the dynamic monitoring data can be transmitted to a cloud database automatically, timely and accurately;
as shown in the attached figure 2, the method comprises the steps of collecting ground ponding data, collecting parameters by adopting a rain gauge or a liquid level meter or an electronic water gauge or a flow meter, setting a storage battery and a signal arrester in a wireless communication mode, carrying out real-time water level monitoring on ponding points, determining the water level of the ponding points, and providing the scale and range of waterlogging ponding points, submerging water depth, submerging duration, submerging roads and submerging units; and collecting water level data of monitoring stations at places where waterlogging easily occurs, such as road water accumulation points, sunken overpasses and the like, and water level information of drainage pipelines on line.
As shown in the attached drawing 3, the operation state data of the pump station monitors the operation states of the pump station and the water pump, and comprises a collection liquid level meter, an electromagnetic flow meter and a pressure transmitter, wherein the collection liquid level meter, the electromagnetic flow meter and the pressure transmitter are used for collecting the liquid level and the flow of the pump station, the current, the voltage and the like of the pipeline pressure and the water pump, and the data are uploaded to a cloud database through a LoRa module.
As shown in fig. 4, the river water level data is acquired and monitored in real time through the ultrasonic water level meter, the rain gauge, the industrial camera and other devices, so that the data of the river water level, the rain quantity, the water quality, the flow velocity and the like can be captured and monitored, the scene picture snapshot and the video transmission can be realized, and the scene situation can be conveniently known in the form of data, pictures and videos.
As shown in the attached figure 5, the water level data of the pipe network inspection well comprises real-time acquisition of the water level data of the pipe network inspection well and the opening and closing state of the well cover, and the water level measuring module adopts a drop-in type water level meter, an ultrasonic water level meter or a radar water level meter through wireless communication MK and the water level measuring module.
And (3) carrying out real-time water level monitoring on key sections (such as closed type underpasses, overpasses, express ways and the like) which are easy to accumulate water in the urban area, and uploading the water level to a data processing system of the monitoring center. The data processing system generates waterlogging early warning through data research and judgment, and issues warning information in modes of a display screen, short messages and the like at traffic crossings at two ends of the key section in a wireless mode to remind the waterlogging condition in the front. The water accumulation points are monitored in real time through water level, rainfall and field images, the Internet of things data acquisition end is composed of a central station and a remote monitoring station, and the remote monitoring station is mainly used for monitoring real-time information of the water accumulation points and uploading the real-time information to a data processing system.
A data acquisition server is deployed in a machine room of a monitoring platform, tasks such as network access, protocol conversion, data checking, data storage, station survey monitoring, operation management and information query are completed, data reading is achieved, and data are sent to a management department through a communication module according to a flood forecasting mechanism and actual needs.
The data processing cloud platform module is used for acquiring collected ground water accumulation data, pump station running state data, river channel water level data and pipe network inspection well water level data, removing repeated and unreasonable data, decoding the data, combining GIS digital geographic information and rainfall forecast information of a meteorological bureau, performing matching analysis calculation, uploading the result to the cloud end to form a stable, safe and efficient cloud management platform comprising a cloud database, a cloud case library and a cloud plan library, matching dynamic data with the cloud case library and the cloud plan library, analyzing disaster conditions of important areas prone to waterlogging of cities, classifying real-time data according to basic information, performing analog simulation calculation, screening out invalid data, transmitting the processed data to a waterlogging early warning system platform, and directly providing reference basis for waterlogging prevention and drainage of the cities.
The data exported after cloud processing are input into a data processing system, and are sent to a local data processing system according to the existing meteorological data such as urban ponding depth, ponding range and influence degree, the geographic information data such as terrain elevation, underlying surface attribute and pipe network information in combination with historical waterlogging data and a historical case library, the data processing system adopts a correlation analysis method to establish a SWMM rainfall flood relation model of water spots, carries out strong rainfall process analysis on the urban ponding spots, and judges the waterlogging grade in combination with real-time water level data transmitted by an acquisition end.
The meteorological data storage and analysis system is used for receiving and storing meteorological data, and the data come from rainfall radar echo diagrams provided by an automatic meteorological station and a meteorological department.
As shown in fig. 8, the early warning issuing module is integrated with the early warning issuing module, and the information such as urban ponding data, urban geographic data, waterlogging level, emergency plan and the like generated or derived by the data processing system is finally integrated with the early warning issuing module. The early warning issuing module comprises an inland inundation early warning display unit, an inland inundation information inquiry unit, an inland inundation disaster management unit and a data maintenance unit; the waterlogging early warning display unit provides real-time and three-dimensional display of urban surface waterlogging information and rainfall information through analog simulation, and visually displays urban waterlogging dynamics; the waterlogging information inquiry unit provides accurate data such as ponding water level, pipe network condition, meteorological information and the like for decision makers, and effectively supports emergency decisions; the waterlogging disaster situation management unit realizes bidirectional communication with other departments and citizens, and realizes disaster situation reporting and disaster situation statistics functions; the data maintenance unit can realize user management and real-time data updating and correcting.
The distribution condition of each monitoring station is displayed on a map through an early warning publishing module, data such as the current accumulated water level value and the accumulated water process line of the accumulated water station are displayed in a graph and report form mode, early warning is carried out on the accumulated water station with an over-warning state in an icon flashing and sound reminding mode, so that a user can know early warning information in time, the accumulated water information in the whole city range reported manually can be recorded and displayed through a background, and in addition, the early warning publishing module can be associated with a video monitoring module of the existing system, and video images recorded by existing video points near the accumulated water site can be viewed while the accumulated water information of the station is inquired.
As shown in fig. 6, the decision scheduling module provides an emergency scheduling command mechanism, a department emergency decision and coordination mechanism, a hierarchical responsible and response mechanism and a social mobilization mechanism, so as to form a preset special emergency scheme, provide decision support for the city emergency linkage command center, greatly improve city emergency linkage capacity, and improve emergency disposal efficiency.
The invention can realize real-time early warning and monitoring of rain conditions, water conditions, working conditions and disaster conditions, and real-time interaction of the working conditions of flood prevention business; the remote monitoring of the operation of the pump gate station improves the emergency capacity of a city management department for coping with crisis events such as pipeline breakage, rain flood, waterlogging and the like by providing decision support of management work such as monitoring early warning, flood prevention scheduling, post-disaster reconstruction and the like, and ensures the stable operation of a drainage system.
The technical solution of the present invention is not limited to the limitations of the above specific embodiments, and all technical modifications made according to the technical solution of the present invention fall within the protection scope of the present invention.
Claims (6)
1. The utility model provides an urban waterlogging early warning system based on meteorological and rainfall flood model which characterized in that includes:
the data acquisition end of the Internet of things is used for acquiring water level data, flow rate data, rainfall data and pump station running state data of a plurality of detection points and displaying early warning and alarming results in real time; the detection point water level data comprises surface water accumulation depth data, river channel and pipe network inspection well water level data;
the data processing module is used for decoding, removing the duplicate, screening, converting the format, classifying, calculating, checking, carrying out statistical analysis and backing up on the received data, combining the decoded water level data, flow rate data and pump station running state data with GIS digital geographic information and weather forecast information, writing the data into a cloud management platform library, carrying out matching analysis on the received data, a cloud database, a cloud case library and a cloud plan library, and sending a matching analysis result to the early warning release module;
the data processing cloud platform module is used for establishing a cloud management platform library comprising a cloud database, a cloud case library and a cloud plan library, sending data transmitted by the acquisition end to the SWMM rain flood model server, carrying out automatic analysis and simulation by the SWMM rain flood model server, receiving early warning data transmitted by the SWMM rain flood model server in real time, comparing the early warning data with the cloud case library, judging the waterlogging level and simulating and analyzing the drainage condition and the drainage capacity of the drainage system;
the SWMM rainfall flood model server is used for establishing a SWMM rainfall flood analysis model, topographic map data, urban underlying surface data, pipe network data, river and lake boundary data are stored in the SWMM rainfall flood model server, and meanwhile, the SWMM rainfall flood model server uses the stored topographic map data, underlying surface data and pipe network data to import rainfall data and water level data transmitted by a cloud platform into the SWMM rainfall flood model, so that the drainage capacity of a city under the current rainfall is simulated, a simulation result is stored, parameters of important points are transmitted to the cloud platform, and the cloud platform performs comparison and early warning;
the meteorological data storage and analysis system is used for receiving and storing meteorological data, and the meteorological data come from a rainfall radar echo map provided by a meteorological station and a meteorological department;
early warning issuing module includes: the waterlogging early warning display module is used for carrying out three-dimensional display of water level information, early warning display of waterlogging of detection points and early warning display of rainfall through analog simulation; the waterlogging information query module is used for inquiring waterlogging information and meteorological information; the system comprises a waterlogging disaster management module for summarizing and reporting abnormal data of detection points and a data maintenance module for generating or deriving urban ponding data, urban geographic data and waterlogging grade information, displaying distribution of the detection points on a GIS map, displaying dynamic data of the detection points in a graph and report form mode, and early warning and alarming the over-alert detection points;
the decision scheduling module is used for presetting a scheduling scheme and scheduling according to the personnel block organization architecture and the emergency scheme;
the data acquisition end of the Internet of things, the SWMM rain flood model module, the meteorological data storage and analysis system, the early warning release module and the decision scheduling module are respectively connected with the data processing cloud platform module.
2. The urban waterlogging early warning system based on the meteorological and rainfall flood model as claimed in claim 1, wherein the internet of things data acquisition end comprises a data acquisition module, an LED display screen, a processing unit and a wireless data transmission module; the data acquisition module, the wireless data transmission module and the LED display screen are respectively connected with the processing unit; the data acquisition module is one or more of a rain gauge, a water level gauge, a flow meter and an electronic water gauge.
3. The weather and rainfall flood model-based urban waterlogging warning system of claim 2, wherein the water level gauge is an immersion water level gauge or an ultrasonic water level gauge or a radar water level gauge.
4. The urban waterlogging early warning system based on meteorological and rainfall flood models according to claim 1, wherein the pump station operating condition data includes pump station liquid level, flow, pipeline pressure, and current and voltage of a water pump.
5. The urban waterlogging early warning system based on the meteorological and rainfall flood model is characterized in that the data acquisition end of the internet of things for acquiring the running state data of the pump station comprises an electromagnetic flowmeter, a pressure transmitter, a liquid level meter, an industrial camera, a frequency converter and a wireless data transmission module; the electromagnetic flowmeter, the pressure transmitter, the liquid level meter, the industrial camera and the frequency converter are respectively connected with the wireless data transmission module.
6. The system of claim 1, wherein the SWMM rain flood relationship model comprises: the receiving and converting module is used for receiving real-time meteorological rainfall information transmitted by the cloud platform database; and the SWMM rainfall flood relation data model processing unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110455155.4A CN113110200A (en) | 2021-04-26 | 2021-04-26 | Urban waterlogging early warning system based on weather and rainfall flood model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110455155.4A CN113110200A (en) | 2021-04-26 | 2021-04-26 | Urban waterlogging early warning system based on weather and rainfall flood model |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113110200A true CN113110200A (en) | 2021-07-13 |
Family
ID=76721298
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110455155.4A Pending CN113110200A (en) | 2021-04-26 | 2021-04-26 | Urban waterlogging early warning system based on weather and rainfall flood model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113110200A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113742818A (en) * | 2021-08-12 | 2021-12-03 | 中交第四航务工程勘察设计院有限公司 | Multi-factor composite early warning and forecasting method for municipal road water accumulation |
| CN113742873A (en) * | 2021-09-07 | 2021-12-03 | 安徽互佳网络信息科技有限公司 | Intelligent urban drainage management system |
| CN114089442A (en) * | 2021-11-18 | 2022-02-25 | 北京城市系统工程研究中心 | Urban infrastructure waterlogging disaster monitoring system and method |
| CN114877933A (en) * | 2022-04-22 | 2022-08-09 | 浪潮软件科技有限公司 | Urban road accumulated water monitoring and early warning method and system |
| CN114928775A (en) * | 2022-05-17 | 2022-08-19 | 安徽中科大国祯信息科技有限责任公司 | Industrial drainage pipe network early warning system and method based on Internet of things |
| CN115050168A (en) * | 2022-08-17 | 2022-09-13 | 河北工程大学 | Inland inundation monitoring and early warning system and early warning method based on cloud edge-end cooperation |
| CN115098916A (en) * | 2022-06-22 | 2022-09-23 | 江西武大扬帆科技有限公司 | Flood prevention emergency decision system based on BIM + GIS and big data |
| CN115345568A (en) * | 2021-09-02 | 2022-11-15 | 浙江浙安数智环境工程有限公司 | Monitoring and early warning method and system based on drainage pipe network GIS |
| CN115689293A (en) * | 2022-11-15 | 2023-02-03 | 中国科学院地理科学与资源研究所 | Urban waterlogging toughness evaluation method based on pressure-state-response framework |
| CN116256820A (en) * | 2023-05-09 | 2023-06-13 | 国家卫星气象中心(国家空间天气监测预警中心) | Observation system for satellite with rapid imager |
| WO2023105891A1 (en) * | 2021-12-07 | 2023-06-15 | 株式会社荏原製作所 | Drainage pump device, drainage pump management system, drainage pump support plan creation device, inference device, machine learning device, drainage pump support plan creation method, inference method, and machine learning method |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1136422A (en) * | 1997-07-18 | 1999-02-09 | Toshiba Corp | Rainwater inflow anticipation support device |
| CN103399539A (en) * | 2013-07-18 | 2013-11-20 | 华南理工大学 | Heterogeneous network communication-based urban inland inundation monitoring and information service system and monitoring method |
| JP2015004245A (en) * | 2013-06-21 | 2015-01-08 | 株式会社東芝 | Water immersion prediction system, water immersion prediction method and program |
| EP3026518A1 (en) * | 2014-11-25 | 2016-06-01 | ABB Technology AG | Method for Root analysis of an alarm flood sequence |
| CN109191358A (en) * | 2018-10-19 | 2019-01-11 | 中电科新型智慧城市研究院有限公司 | Urban Flood control prevention waterlogging monitoring commander's operating system |
| CN110298076A (en) * | 2019-05-27 | 2019-10-01 | 广州奥格智能科技有限公司 | A kind of urban waterlogging intelligent modeling and analysis method based on GIS and SWMM |
| CN110533885A (en) * | 2019-08-15 | 2019-12-03 | 江苏省气象服务中心 | Urban waterlogging monitoring and warning system and method for early warning |
| CN110646867A (en) * | 2019-08-28 | 2020-01-03 | 北京无线电计量测试研究所 | Urban drainage monitoring and early warning method and system |
| CN211477317U (en) * | 2020-04-10 | 2020-09-11 | 刘波 | Water level monitoring device for hydraulic engineering |
| CN112036612A (en) * | 2020-08-13 | 2020-12-04 | 成都万江港利科技股份有限公司 | Urban waterlogging intelligent early warning system |
| CN112052561A (en) * | 2020-07-31 | 2020-12-08 | 上海市水务规划设计研究院(上海市海洋规划设计研究院) | Method for formulating waterlogging prevention emergency plan of drainage system |
-
2021
- 2021-04-26 CN CN202110455155.4A patent/CN113110200A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1136422A (en) * | 1997-07-18 | 1999-02-09 | Toshiba Corp | Rainwater inflow anticipation support device |
| JP2015004245A (en) * | 2013-06-21 | 2015-01-08 | 株式会社東芝 | Water immersion prediction system, water immersion prediction method and program |
| CN103399539A (en) * | 2013-07-18 | 2013-11-20 | 华南理工大学 | Heterogeneous network communication-based urban inland inundation monitoring and information service system and monitoring method |
| EP3026518A1 (en) * | 2014-11-25 | 2016-06-01 | ABB Technology AG | Method for Root analysis of an alarm flood sequence |
| CN109191358A (en) * | 2018-10-19 | 2019-01-11 | 中电科新型智慧城市研究院有限公司 | Urban Flood control prevention waterlogging monitoring commander's operating system |
| CN110298076A (en) * | 2019-05-27 | 2019-10-01 | 广州奥格智能科技有限公司 | A kind of urban waterlogging intelligent modeling and analysis method based on GIS and SWMM |
| CN110533885A (en) * | 2019-08-15 | 2019-12-03 | 江苏省气象服务中心 | Urban waterlogging monitoring and warning system and method for early warning |
| CN110646867A (en) * | 2019-08-28 | 2020-01-03 | 北京无线电计量测试研究所 | Urban drainage monitoring and early warning method and system |
| CN211477317U (en) * | 2020-04-10 | 2020-09-11 | 刘波 | Water level monitoring device for hydraulic engineering |
| CN112052561A (en) * | 2020-07-31 | 2020-12-08 | 上海市水务规划设计研究院(上海市海洋规划设计研究院) | Method for formulating waterlogging prevention emergency plan of drainage system |
| CN112036612A (en) * | 2020-08-13 | 2020-12-04 | 成都万江港利科技股份有限公司 | Urban waterlogging intelligent early warning system |
Non-Patent Citations (3)
| Title |
|---|
| 张忠义，王喆，方丹辉: "基于物联网与GPRS技术对武汉市内涝监测预警系统的优化设计", 《安全与环境工程》 * |
| 王以中 等, 同济大学出版社 * |
| 袁青涛，周文，刘旭，段彤: "城市防汛内涝预警预报系统的设计与实现", 《城市勘测》 * |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113742818A (en) * | 2021-08-12 | 2021-12-03 | 中交第四航务工程勘察设计院有限公司 | Multi-factor composite early warning and forecasting method for municipal road water accumulation |
| WO2023016036A1 (en) * | 2021-08-12 | 2023-02-16 | 中交第四航务工程勘察设计院有限公司 | Multi-factor composite early warning and forecasting method for municipal road ponding |
| CN115345568A (en) * | 2021-09-02 | 2022-11-15 | 浙江浙安数智环境工程有限公司 | Monitoring and early warning method and system based on drainage pipe network GIS |
| CN113742873A (en) * | 2021-09-07 | 2021-12-03 | 安徽互佳网络信息科技有限公司 | Intelligent urban drainage management system |
| CN113742873B (en) * | 2021-09-07 | 2022-04-12 | 安徽互佳网络信息科技有限公司 | Intelligent urban drainage management system |
| CN114089442A (en) * | 2021-11-18 | 2022-02-25 | 北京城市系统工程研究中心 | Urban infrastructure waterlogging disaster monitoring system and method |
| WO2023105891A1 (en) * | 2021-12-07 | 2023-06-15 | 株式会社荏原製作所 | Drainage pump device, drainage pump management system, drainage pump support plan creation device, inference device, machine learning device, drainage pump support plan creation method, inference method, and machine learning method |
| CN114877933A (en) * | 2022-04-22 | 2022-08-09 | 浪潮软件科技有限公司 | Urban road accumulated water monitoring and early warning method and system |
| CN114928775B (en) * | 2022-05-17 | 2023-03-28 | 安徽中科大国祯信息科技有限责任公司 | Industrial drainage pipe network early warning system and method based on Internet of things |
| CN114928775A (en) * | 2022-05-17 | 2022-08-19 | 安徽中科大国祯信息科技有限责任公司 | Industrial drainage pipe network early warning system and method based on Internet of things |
| CN115098916A (en) * | 2022-06-22 | 2022-09-23 | 江西武大扬帆科技有限公司 | Flood prevention emergency decision system based on BIM + GIS and big data |
| CN115098916B (en) * | 2022-06-22 | 2023-04-07 | 中铁水利信息科技有限公司 | Flood prevention emergency decision system based on BIM + GIS and big data |
| CN115050168A (en) * | 2022-08-17 | 2022-09-13 | 河北工程大学 | Inland inundation monitoring and early warning system and early warning method based on cloud edge-end cooperation |
| CN115689293A (en) * | 2022-11-15 | 2023-02-03 | 中国科学院地理科学与资源研究所 | Urban waterlogging toughness evaluation method based on pressure-state-response framework |
| CN115689293B (en) * | 2022-11-15 | 2023-05-12 | 中国科学院地理科学与资源研究所 | Urban waterlogging toughness assessment method based on pressure-state-response framework |
| CN116256820A (en) * | 2023-05-09 | 2023-06-13 | 国家卫星气象中心(国家空间天气监测预警中心) | Observation system for satellite with rapid imager |
| CN116256820B (en) * | 2023-05-09 | 2024-02-09 | 国家卫星气象中心(国家空间天气监测预警中心) | Strong convection weather observation system for satellite with rapid imager |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113110200A (en) | Urban waterlogging early warning system based on weather and rainfall flood model | |
| CN110533885B (en) | Urban waterlogging monitoring and early warning system and method | |
| CN108320462A (en) | Urban Flood control early-warning and predicting system | |
| CN110633865A (en) | Urban ponding prediction and safety early warning system based on drainage model | |
| CN109932988B (en) | Urban raise dust pollution diffusion prediction system and method | |
| CN106373070B (en) | A kind of four pre- methods for coping with urban rainstorm waterlogging | |
| CN111221286B (en) | Intelligent Internet of things drainage system and control method thereof | |
| CN210183356U (en) | Sponge city rainstorm detection early warning system | |
| CN106801463B (en) | The hull-borne detection method and system of drainpipe | |
| CN115388949A (en) | Intelligent reservoir monitoring and management system | |
| CN116821272B (en) | City waterlogging intelligent monitoring and early warning method and system | |
| CN111245955A (en) | Road meteorological environment monitoring intelligent early warning system | |
| CN111915847A (en) | Refined rainfall forecasting system and early warning method thereof | |
| CN113593191A (en) | Visual urban waterlogging monitoring and early warning system based on big data | |
| CN104574874A (en) | Urban drainage and waterlog-preventing integrated control system | |
| CN110415491A (en) | Mud-stone flow disaster Integrated Monitoring System and visualization early warning cloud platform | |
| CN111583587A (en) | Small watershed prediction system | |
| CN207300215U (en) | The Excavation Settlement real-time monitoring system of wisdom building site control platform | |
| CN111579004A (en) | Water conservancy monitoring system and method based on Beidou satellite application and storage medium | |
| CN207924874U (en) | Urban Flood control early-warning and predicting device | |
| CN210865032U (en) | Urban waterlogging monitoring and early warning system | |
| CN202382814U (en) | Water level monitoring and early warning system | |
| CN114360213A (en) | Railway geological disaster intelligent safety monitoring and early warning system | |
| CN116380153A (en) | Urban waterlogging monitoring and early warning system and method | |
| CN202956865U (en) | Urban waterlogging alarm device base on GPRS |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210713 |