CN211403425U - Flood prediction data processing system - Google Patents
Flood prediction data processing system Download PDFInfo
- Publication number
- CN211403425U CN211403425U CN201921732473.5U CN201921732473U CN211403425U CN 211403425 U CN211403425 U CN 211403425U CN 201921732473 U CN201921732473 U CN 201921732473U CN 211403425 U CN211403425 U CN 211403425U
- Authority
- CN
- China
- Prior art keywords
- data
- processing terminal
- early warning
- signal connection
- cloud processing
- 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.)
- Active
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
Landscapes
- Alarm Systems (AREA)
Abstract
The utility model relates to a data processing technology field just discloses flood prediction data processing system, including cloud processing terminal, collection module, data summarization, meteorological monitoring, early warning module and simulation view management, the input of cloud processing terminal and the output end signal connection that data were summarized, the input that data were summarized and collection module's output end signal connection, the input and the output end signal connection of meteorological monitoring of cloud processing terminal, the output of cloud processing terminal and the input end signal connection of early warning module, the output of cloud processing terminal and the input end signal connection of simulation view management. The method comprises the steps of predicting data according to water level early warning information, then transmitting the data to related department personnel through voice broadcasting, and simultaneously displaying the situation of recognizing flood which is better cleared by people and taking precautionary measures in advance through three-dimensional animation and data, so that unnecessary loss and panic of people are reduced.
Description
Technical Field
The utility model relates to a data processing technology field specifically is flood prediction data processing system.
Background
The formation of flood is often influenced by natural factors such as climate, and in the process of its occurrence and evolution, it is difficult for people to accurately predict the time, place and size of its occurrence. Therefore, the flood frequency is usually employed hydrologically to describe the magnitude of the risk of the flood itself. The existing technology can not control the occurrence of flood and make corresponding effective precautionary measures accurately in real time, so a method for collecting and transmitting rainfall and flood information of various rainfall and water level stations in the river and river area to a flood control center in real time by using modern communication equipment is needed, and the flood dynamics of the river area can be mastered in time by data processing and analysis, and the future coastal flood forecast can be made by using a mathematical model.
SUMMERY OF THE UTILITY MODEL
For realizing above-mentioned one kind and utilizing modern communication equipment, with the rainfall and the flood information of each rainfall, water level website in the river and river territory, gather in real time and transmit flood control center, through data processing and analysis, in time master basin flood developments to utilize mathematical model, make the purpose of future coastal flood forecast, the utility model provides a following technical scheme: flood prediction data processing system, including cloud processing terminal, collection module, data summarization, meteorological monitoring, early warning module and simulation view management, the input and the output end signal connection that data summarize of cloud processing terminal, the input that data summarize and collection module's output end signal connection, the input and the output end signal connection of meteorological monitoring of cloud processing terminal, the output of cloud processing terminal and the input end signal connection of early warning module, the output of cloud processing terminal and the input end signal connection of simulation view management.
Based on a flood prediction data processing system, the flood prediction data processing method is provided, and the steps are as follows:
s1, before flood data analysis, an acquisition module is needed to perform regional positioning on the region, record the current water level information, the recorded soil geological information, measure local geographical elevation data, the region area of the coverage area and dam foundation information, and then all the information is arranged to perform data summarization;
s2: summarizing and feeding back the data obtained in S1 to a cloud processing terminal, and predicting the rainfall at the time through meteorological monitoring, whether other weather similar to storm occurs during rainfall and the duration of the rainfall at the time;
s3: feeding the result back to the cloud processing terminal according to the weather monitoring result obtained in the step S2, calculating and processing the result through the cloud processing terminal, generating a virtual model of the local water area and surrounding building facilities through the simulation view management, and performing three-dimensional animation demonstration;
s4: and after the information obtained in the S1, the S2 and the S3 is calculated and processed by the cloud processing terminal, the water regime is graded according to the early warning water level by the early warning module, data prediction is carried out according to the early warning information of the water level, and then the data is transmitted to related department personnel through voice broadcast.
The utility model has the advantages that: before flood data are analyzed, an acquisition module is used for carrying out region positioning on a region, recording current water level information and recorded soil geological information, measuring local geographical altitude data, region area of a coverage area and dam foundation information, then the information is completely arranged to carry out data summarization, then the rainfall at this time is predicted through meteorological monitoring, whether other weather similar to storm exists or not exists during rainfall and how long the rainfall lasts, the result is fed back to a cloud processing terminal, then after the calculation processing of the cloud processing terminal, virtual model generation can be carried out on local water areas and peripheral building facilities through simulation view management, then three-dimensional animation demonstration is carried out, the water condition is graded through an early warning module after the calculation processing of the cloud processing terminal according to early warning water level, data prediction is carried out according to water level early warning information, and then the data are transmitted to relevant department personnel through voice broadcasting, meanwhile, the flood situation is better recognized and precautionary measures are taken in advance by people through the combination of the three-dimensional animation and the data, so that unnecessary loss and panic of people are reduced.
As optimization, the acquisition module comprises relevant data acquisition such as regional positioning, current water level, soil geology, geographical elevation, coverage area, dam foundation information and the like, and the effective information is collected to more accurately control the occurrence, evolution process and future trend of flood.
And as optimization, the meteorological monitoring comprises detection records of duration, rainfall and rainfall type, and the recorded rainfall type, rainfall and rainfall duration are submitted to a cloud processing terminal through the meteorological monitoring, so that whether corresponding precautionary measures are required to be taken in advance when the future flood outbreak condition is predicted accurately.
As optimization, the simulation view management comprises model generation and three-dimensional animation demonstration, and the three-dimensional animation is combined with data to show the situation that people can well recognize flood and take precautionary measures in advance.
As optimization, the early warning module contains voice broadcast, early warning water level, water level early warning information and data prediction, and through the early warning module, the current flood danger level can be clearly known.
In the simulation view management, relevant information acquired by an acquisition module is attached during model generation, and people can more intuitively see the current water area condition through a three-dimensional model and corresponding data.
As optimization, the three-dimensional animation can be provided with related data and voice broadcast in the early warning module, and the flood condition of the area can be reflected more intuitively, vividly and clearly through the voice broadcast mode and the accompanying data description.
Drawings
Fig. 1 is a schematic diagram of the system framework of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
Referring to fig. 1, a flood prediction data processing system includes a cloud processing terminal, a collection module, a data collection module, a weather monitoring module, an early warning module and a simulation view management module, wherein an input end of the cloud processing terminal is in signal connection with an output end of the data collection module, an input end of the data collection module is in signal connection with an output end of the collection module, the collection module includes relevant data collection such as area positioning, current water level, soil geology, geographic altitude, coverage area and dam foundation information, the effective information is collected to more accurately control the occurrence, evolution process and future trend of flood, an input end of the cloud processing terminal is in signal connection with an output end of the weather monitoring, the weather monitoring includes detection records of duration, rainfall and rainfall type, and the recorded rainfall type, rainfall and rainfall duration are provided to the cloud processing terminal through the weather monitoring, and whether the outbreak condition of the flood in the future needs to be accurately predicted in advance The precautionary measure that should, the output of cloud processing terminal and the input signal connection of early warning module, early warning module contains voice broadcast, the early warning water level, water level early warning information and data prediction, through early warning module, can be clear know current flood danger level, the output of cloud processing terminal and the input signal connection of simulation view management, simulation view management contains model generation and three-dimensional animation demonstration, three-dimensional animation can be furnished with relevant data and voice broadcast in the early warning module, form through voice broadcast and subsidiary data description, more directly perceived brief introduction's reaction this area's flood situation, combine data to show the condition of the realization flood that better messenger people clear away and make precautionary measure in advance through three-dimensional animation.
Based on a flood prediction data processing system, the flood prediction data processing method is provided, and the steps are as follows:
s1, before flood data analysis, an acquisition module is needed to perform regional positioning on the region, record the current water level information, the recorded soil geological information, measure local geographical elevation data, the region area of the coverage area and dam foundation information, and then all the information is arranged to perform data summarization;
s2: summarizing and feeding back the data obtained in S1 to a cloud processing terminal, and predicting the rainfall at the time through meteorological monitoring, whether other weather similar to storm occurs during rainfall and the duration of the rainfall at the time;
s3: feeding the result back to the cloud processing terminal according to the weather monitoring result obtained in the step S2, calculating and processing the result through the cloud processing terminal, generating a virtual model of the local water area and surrounding building facilities through the simulation view management, and performing three-dimensional animation demonstration;
s4: and after the information obtained in the S1, the S2 and the S3 is calculated and processed by the cloud processing terminal, the water regime is graded according to the early warning water level by the early warning module, data prediction is carried out according to the early warning information of the water level, and then the data is transmitted to related department personnel through voice broadcast.
When the system is used, before flood data is analyzed, an acquisition module is required to perform regional positioning on a region, record current water level information, recorded soil geological information, measure local geographical altitude data, the region area of a coverage area and dam foundation information, then the information is completely arranged to perform data summarization, then the rainfall at this time is predicted through meteorological monitoring, whether other weather similar to storm occurs or not during rainfall and how long the rainfall lasts, the result is fed back to a cloud processing terminal, then after the calculation processing of the cloud processing terminal is performed, virtual model generation can be performed on local water areas and surrounding architectural facilities through simulation view management, then three-dimensional animation demonstration is performed, and after the calculation processing of the cloud processing terminal, the water situation is graded according to early warning water levels through an early warning module, the method comprises the steps of predicting data according to water level early warning information, then transmitting the data to related department personnel through voice broadcasting, and simultaneously displaying the situation of recognizing flood which is better cleared by people and taking precautionary measures in advance through three-dimensional animation and data, so that unnecessary loss and panic of people are reduced.
Above, only be the concrete implementation of the preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is in the technical scope of the present invention, according to the technical solution of the present invention and the design of the present invention, equivalent replacement or change should be covered within the protection scope of the present invention.
Claims (6)
1. Flood prediction data processing system, including cloud processing terminal, collection module, data summarization, meteorological monitoring, early warning module and simulation view management, its characterized in that: the input of cloud processing terminal and the output signal connection that the data were gathered, the input that the data were gathered and collection module's output signal connection, the input of cloud processing terminal and meteorological monitoring's output signal connection, the output of cloud processing terminal and early warning module's input signal connection, the output of cloud processing terminal and the input signal connection of simulation view management.
2. The flood prediction data processing system of claim 1, wherein: the acquisition module comprises relevant data acquisition such as regional positioning, current water level, soil geology, geographical altitude, coverage area, dam foundation information and the like.
3. The flood prediction data processing system of claim 1, wherein: the meteorological monitoring includes detection records of duration, rainfall and rainfall type.
4. The flood prediction data processing system of claim 1, wherein: the simulated view management includes model generation and three-dimensional animation demonstration.
5. The flood prediction data processing system of claim 1, wherein: the early warning module contains voice broadcast, early warning water level, water level early warning information and data prediction.
6. The flood prediction data processing system of claim 1, wherein: the simulation view management is accompanied by relevant information acquired by an acquisition module when a model is generated.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201921732473.5U CN211403425U (en) | 2019-10-16 | 2019-10-16 | Flood prediction data processing system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201921732473.5U CN211403425U (en) | 2019-10-16 | 2019-10-16 | Flood prediction data processing system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN211403425U true CN211403425U (en) | 2020-09-01 |
Family
ID=72232343
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201921732473.5U Active CN211403425U (en) | 2019-10-16 | 2019-10-16 | Flood prediction data processing system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN211403425U (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112099016A (en) * | 2020-11-09 | 2020-12-18 | 中国水利水电科学研究院 | Heaven-earth collaborative flood situation emergency monitoring system and method |
CN112863131A (en) * | 2021-01-11 | 2021-05-28 | 浙江海峡创新科技有限公司 | City disaster prevention remote measurement terminal system based on large-scale distributed cloud data |
CN114970968A (en) * | 2022-04-26 | 2022-08-30 | 西华大学 | Data processing system based on carbon peak reaching |
-
2019
- 2019-10-16 CN CN201921732473.5U patent/CN211403425U/en active Active
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112099016A (en) * | 2020-11-09 | 2020-12-18 | 中国水利水电科学研究院 | Heaven-earth collaborative flood situation emergency monitoring system and method |
CN112863131A (en) * | 2021-01-11 | 2021-05-28 | 浙江海峡创新科技有限公司 | City disaster prevention remote measurement terminal system based on large-scale distributed cloud data |
CN114970968A (en) * | 2022-04-26 | 2022-08-30 | 西华大学 | Data processing system based on carbon peak reaching |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106128035B (en) | The geological disaster forecasting method merged based on neural network and multi-parameter information | |
CN211403425U (en) | Flood prediction data processing system | |
CN104236626B (en) | The integrated on-line monitoring system of drainage pipeline liquid level and flow | |
CN111445670A (en) | Geological disaster early warning system and method | |
US20230259798A1 (en) | Systems and methods for automatic environmental planning and decision support using artificial intelligence and data fusion techniques on distributed sensor network data | |
Kohno et al. | Recent progress in storm surge forecasting | |
CN109872509A (en) | Massif Geological Hazards Monitoring and early warning system and method based on the twin driving of number | |
KR101761707B1 (en) | Typhoon surge automatic forecasting method using active data collection type script and numerical model | |
CN106205061A (en) | A kind of geological hazards prediction system | |
CN110415488A (en) | A kind of method, system, electronic equipment and the storage medium of mountain flood early warning | |
CN107808498A (en) | A kind of monitoring method of landslide and the monitoring system of application this method | |
CN106373070A (en) | Four-prevention method for responding to city rainstorm waterlogging | |
CN109039277A (en) | The monitoring method and system of photovoltaic plant | |
CN103336298A (en) | Method for acquiring and analyzing earthquake fracture area omen data | |
CN111579004A (en) | Water conservancy monitoring system and method based on Beidou satellite application and storage medium | |
CN104965238A (en) | Power network GIS based meteorology single-station radar early warning method and system | |
CN113593191A (en) | Visual urban waterlogging monitoring and early warning system based on big data | |
KR101870743B1 (en) | Tidal flat experience index forecasting apparatus and the method thereof | |
CN111027827B (en) | Method and device for analyzing operation risk of bottom-protecting communication network and computer equipment | |
CN115435837B (en) | Method and system for monitoring infrastructure environment based on satellite positioning | |
Doran et al. | Forecasts of coastal-change hazards | |
KR101944420B1 (en) | Sea fishing index forecasting apparatus and the method thereof | |
Das et al. | An efficient storm surge forecasting tool for coastal Mississippi | |
CN116504028A (en) | Geological disaster monitoring and early warning system | |
CN103544811A (en) | Earthquake alarming method based on Internet of Things |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
GR01 | Patent grant | ||
GR01 | Patent grant |