CN109444988B - Hydrology forecasting device based on thing networking - Google Patents
Hydrology forecasting device based on thing networking Download PDFInfo
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- CN109444988B CN109444988B CN201811300964.2A CN201811300964A CN109444988B CN 109444988 B CN109444988 B CN 109444988B CN 201811300964 A CN201811300964 A CN 201811300964A CN 109444988 B CN109444988 B CN 109444988B
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Abstract
The invention relates to the technical field of hydrological prediction, in particular to a hydrological prediction device based on the Internet of things, which comprises a hydrological office server and a water conservancy hall server, wherein the hydrological office server and the water conservancy hall server are both connected with a data calling module through leads, the data calling module is connected with a data safety transmission module through leads, and the data safety transmission module is connected with a central processing unit through leads; the hydrological bureau server and the water conservancy hall server are used as data sources for subsequent hydrological forecasting after local hydrological data are collected and subjected to preliminary statistical analysis, and a large amount of time for later data processing is saved; the data calling module is used for extracting the statistical data collected by the hydrology office server and the water conservancy hall server, and the data safety transmission module is used for safely transmitting the data extracted by the data calling module. The invention has the advantages of reasonable structure, short operation time, high forecast accuracy, good emergency making measures and effectively improved practicability.
Description
Technical Field
The invention relates to the technical field of hydrologic forecasting, in particular to a hydrologic forecasting device based on the Internet of things.
Background
Hydrologic forecasting (hydrologic forecasting) refers to the qualitative or quantitative prediction of the hydrologic situation of a certain water body, a certain area or a certain hydrologic station in a certain future time according to the early-stage or current hydrologic meteorological data. The purpose of hydrologic prediction is to transmit the actual observation of hydrologic phenomena to the prediction center in time, which is the premise of hydrologic prediction. To improve the accuracy of hydrologic prediction, the quantity and quality of hydrologic information must be improved. To lengthen the look-ahead period, the observation, transmission and processing time is first shortened. Common observation methods, telegraph telephone, telegraph decoding and issuing methods and the like. However, the existing hydrologic forecasting device consumes a long time to operate, and influences the forecasting accuracy, so that the hydrologic forecasting device based on the Internet of things is provided.
Disclosure of Invention
The invention aims to solve the defect that the operation consumes long time in the prior art, and provides a hydrological forecasting device based on the Internet of things.
In order to achieve the purpose, the invention adopts the following technical scheme:
a hydrological forecasting device based on the Internet of things is designed, and comprises a hydrological bureau server and a water conservancy hall server, wherein the hydrological bureau server and the water conservancy hall server are both connected with a data calling module through leads, the data calling module is connected with a data safety transmission module through leads, the data safety transmission module is connected with a central processing unit through leads, the hydrological bureau server and the water conservancy hall server are used as a work source for subsequent hydrological forecasting after acquiring local hydrological data and carrying out primary statistical analysis, the work saves a large amount of time for later data processing, the data calling module is used for extracting statistical data acquired by the hydrological bureau server and the water conservancy hall server, the data safety transmission module is used for safely transmitting the data extracted by the data calling module, and avoids accidents occurring in the data transmission process and influencing the subsequent forecasting work, the central processing unit is respectively connected with a data integration module and a historical database through leads, the historical database is connected with a data extraction module through leads, the data integration module and the data extraction module are both connected with a data comparison module through leads, the data integration module is used for uniformly integrating data extracted from a hydrology office server and a water conservancy hall server to avoid data repeatability and chaos, the historical database is used for storing hydrology forecast historical data, the data extraction module is used for extracting useful historical data from the interior of the historical database, the data comparison module is used for comparing the data integrated by the data integration module with the historical data extracted by the data extraction module so as to rapidly carry out re-qualification on the collected data, the data comparison module is connected with a data analysis module through leads, and the data analysis module is connected with a data generation module through leads, the data generation module is connected with the data evaluation module through a wire, the data evaluation module is connected with the warning module through a wire, the warning module is connected with the wireless communication module through a network, the wireless communication module is connected with a plurality of terminals through a network, the data analysis module is used for analyzing data differences compared by the data comparison module to ensure the accuracy of the data, the data generation module can sort and synthesize the data with the accuracy, the data evaluation module is used for evaluating whether the data generated by the data generation module is dangerous or not, when the data is dangerous, the data is alarmed through the warning module, and meanwhile, the warning signal is transmitted to each terminal through the wireless communication module.
Preferably, the hydrology office server and the water conservancy hall server are connected with the real-time monitoring module through a lead, and the real-time monitoring module is used for monitoring data changes collected and counted by the hydrology office server and the water conservancy hall server, so that the data calling module can call the latest data in time.
Preferably, the historical database comprises a data storage module, a data verification module and a soil moisture content calculation module, wherein the data storage module is used for storing the parameters of rainfall, temperature and flow in the area, so that the calculation time is shortened, the data verification module can store incorrect and different classified data, and the soil moisture content calculation module is used for calculating the field soil moisture content under different rainfall, snow melting, evaporation and other conditions, so that emergency measures can be taken in advance.
Preferably, the data evaluation module is respectively connected with the prediction error analysis module and the curve graph making module through leads, the curve graph making module is connected with the display module through leads, the prediction error analysis module is used for analyzing errors generated in the prediction process, the same error calculation in the next time is avoided, and the curve graph making module can make the evaluation data into a curve graph which is viewed through the display module.
Preferably, the warning module passes through the wire and connects emergent scheme and formulate the module, and emergent scheme is formulated the module and is used for formulating the measure that emergent needs were taken, the effectual reduction people property damage.
The hydrological forecasting device based on the Internet of things has the beneficial effects that: through the data calling module, the data inside hydrology office server and water conservancy room server that can be quick are called, the effectual data acquisition time that has reduced, through the data contrast module, thereby the effectual precision that improves the hydrology forecast. The invention has the advantages of reasonable structure, short operation time, high forecast accuracy, good emergency making measures and effectively improved practicability.
Drawings
Fig. 1 is a schematic structural diagram of a hydrological forecasting device based on the internet of things according to the present invention;
fig. 2 is a schematic structural diagram of a historical database of a hydrological forecasting device based on the internet of things.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-2, a hydrological forecasting device based on the internet of things comprises a hydrological office server and a water conservancy hall server, wherein the hydrological office server and the water conservancy hall server are both connected with a data calling module through leads, the data calling module is connected with a data safety transmission module through leads, the data safety transmission module is connected with a central processing unit through leads, the hydrological office server and the water conservancy hall server are used as a work source for subsequent hydrological forecasting after acquiring local hydrological data and performing preliminary statistical analysis, the work saves a large amount of time for later data processing, the data calling module is used for extracting statistical data acquired by the hydrological office server and the water conservancy hall server, the data safety transmission module is used for safely transmitting the data extracted by the data calling module, and avoids accidents occurring in the data transmission process and influencing the subsequent forecasting work, the central processing unit is respectively connected with a data integration module and a historical database through leads, the historical database is connected with a data extraction module through leads, the data integration module and the data extraction module are both connected with a data comparison module through leads together, the data integration module is used for uniformly integrating data extracted from a hydrology bureau server and a water conservancy hall server to avoid the repeatability and the disorder of the data, the historical database is used for storing hydrology forecast historical data, the data extraction module is used for extracting useful historical data from the interior of the historical database, the data comparison module is used for comparing the data integrated by the data integration module with the historical data extracted by the data extraction module so as to rapidly carry out the re-qualification of the collected data, the data comparison module is connected with the data analysis module through leads, and the data analysis module is connected with a data generation module through leads, the data generation module passes through the wire and connects the data evaluation module, the data evaluation module passes through the wire and connects warning module, warning module passes through internet access wireless communication module, wireless communication module passes through a plurality of terminal of internet access, the data analysis module is used for carrying out the analysis with the data difference that the data comparison module contrasts, ensure the precision of data, the data generation module can arrange the data of precision in order synthetically, the data evaluation module is used for assessing whether the data that the data generation module generated possess danger, when possessing danger, report to the police through warning module, simultaneously through wireless communication module with alarm signal transmission to each terminal on.
The hydrology office server and the water conservancy hall server are connected with the real-time monitoring module through leads, and the real-time monitoring module is used for monitoring data changes collected and counted by the hydrology office server and the water conservancy hall server, so that the data calling module can call the latest data in time.
The historical database comprises a data storage module, a data verification module and a soil water content calculation module, wherein the data storage module is used for storing the parameters of rainfall, temperature and flow in the region, so that the calculation time is shortened, the data verification module can store incorrect and different classified data, and the soil water content calculation module is used for calculating the soil water content in the field under different rainfall, snow melting, evaporation and other conditions, so that emergency measures can be taken in advance.
The data evaluation module is respectively connected with the prediction error analysis module and the curve graph making module through leads, the curve graph making module is connected with the display module through leads, the prediction error analysis module is used for analyzing errors generated in the prediction process, the same error calculation in the next time is avoided, and the curve graph making module can make the evaluation data into a curve graph which is viewed through the display module.
The warning module passes through the wire and connects emergent scheme and formulates the module, and emergent scheme formulates the module and is used for formulating the measure that emergent needs were taken, the effectual reduction people property damage.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (2)
1. A hydrological forecasting device based on the Internet of things comprises a hydrological bureau server and a water conservancy hall server, and is characterized in that the hydrological bureau server and the water conservancy hall server are both connected with a data calling module through leads, the data calling module is connected with a data safety transmission module through leads, the data safety transmission module is connected with a central processing unit through leads, the hydrological bureau server and the water conservancy hall server are used as a work source of subsequent hydrological forecasting after acquiring local hydrological data and carrying out preliminary statistical analysis, the work saves a large amount of time for later data processing, the data calling module is used for extracting the statistical data acquired by the hydrological bureau server and the water conservancy hall server, the data safety transmission module is used for safely transmitting the data extracted by the data calling module, and avoids accidents in the transmission process of the data, the central processing unit is respectively connected with a data integration module and a historical database through leads, the historical database is connected with a data extraction module through leads, the data integration module and the data extraction module are both connected with a data comparison module through leads, the data integration module is used for uniformly integrating data extracted from a hydrology bureau server and a water conservancy hall server to avoid data repeatability and chaos, the historical database is used for storing hydrology forecast historical data, the data extraction module is used for extracting useful historical data from the interior of the historical database, the data comparison module is used for comparing the data integrated by the data integration module with the historical data extracted by the data extraction module so as to rapidly carry out re-qualification on the collected data, and the data comparison module is connected with a data analysis module through leads, the data analysis module is connected with the data generation module through a wire, the data generation module is connected with the data evaluation module through a wire, the data evaluation module is connected with the warning module through a wire, the warning module is connected with the wireless communication module through a network, the wireless communication module is connected with a plurality of terminals through a network, the data analysis module is used for analyzing data differences compared by the data comparison module to ensure the accuracy of the data, the data generation module can arrange and synthesize the accurate data, the data evaluation module is used for evaluating whether the data generated by the data generation module is dangerous or not, when the data is dangerous, an alarm is given through the warning module, and meanwhile, an alarm signal is transmitted to each terminal through the wireless communication module;
the historical database comprises a data storage module, a data verification module and a soil water content calculation module, wherein the data storage module is used for storing the parameters of rainfall, temperature and flow in the region, so that the calculation time is shortened;
the data evaluation module is respectively connected with the prediction error analysis module and the curve graph making module through leads, the curve graph making module is connected with the display module through leads, the prediction error analysis module is used for analyzing errors generated in the prediction process, the same error calculation in the next time is avoided, and the curve graph making module can make the evaluation data into a curve graph which is viewed through the display module;
the warning module passes through the wire and connects emergent scheme and formulates the module, and emergent scheme formulates the module and is used for formulating the measure that emergent needs were taken, the effectual reduction people property damage.
2. The Internet of things-based hydrological forecasting device according to claim 1, wherein the hydrological office server and the water conservancy hall server are commonly connected with a real-time monitoring module through a wire, and the real-time monitoring module is used for monitoring data changes collected and counted by the hydrological office server and the water conservancy hall server, so that the data calling module can call the latest data in time.
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| CN204425399U (en) * | 2015-01-04 | 2015-06-24 | 江苏海事职业技术学院 | A kind of hydrometeorological operation system based on cloud computing |
| CN204759699U (en) * | 2015-07-31 | 2015-11-11 | 珠江水利委员会珠江水利科学研究院 | Mountain torrents calamity monitoring and early warning device |
| CN105929466A (en) * | 2016-04-14 | 2016-09-07 | 国家电网公司 | Flood forecast method dealing with influence on human activities |
| CN106875048A (en) * | 2017-02-07 | 2017-06-20 | 南京南瑞集团公司 | Emergent Flood Forecasting Method based on success experience pattern |
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| KR101387384B1 (en) * | 2012-09-07 | 2014-04-29 | 주식회사 환경과학기술 | Reading system for sheet recorded measuring data of sea level and method thereof |
| US10467540B2 (en) * | 2016-06-02 | 2019-11-05 | The Climate Corporation | Estimating confidence bounds for rainfall adjustment values |
| CN106603981A (en) * | 2016-12-19 | 2017-04-26 | 合肥铭志环境技术有限责任公司 | Community environment monitoring and warning system based on Internet of Things |
| CN108549998A (en) * | 2018-05-03 | 2018-09-18 | 广西师范学院 | A kind of dynamic supervision system of the land-sea synthesis towards aquafarm |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204425399U (en) * | 2015-01-04 | 2015-06-24 | 江苏海事职业技术学院 | A kind of hydrometeorological operation system based on cloud computing |
| CN204759699U (en) * | 2015-07-31 | 2015-11-11 | 珠江水利委员会珠江水利科学研究院 | Mountain torrents calamity monitoring and early warning device |
| CN105929466A (en) * | 2016-04-14 | 2016-09-07 | 国家电网公司 | Flood forecast method dealing with influence on human activities |
| CN106875048A (en) * | 2017-02-07 | 2017-06-20 | 南京南瑞集团公司 | Emergent Flood Forecasting Method based on success experience pattern |
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