CN117827990B - Data processing method and system suitable for hydraulic engineering - Google Patents
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Abstract
The invention relates to the field of water conservancy systems, in particular to a data processing method and system suitable for water conservancy projects, comprising the following steps: the data acquisition module is used for collecting data of the river, the weather station and the remote sensing satellite in real time, wherein the data comprise water level, flow rate, rainfall and air temperature; the data preprocessing module is used for cleaning, formatting and primarily analyzing the collected data, and comprises the steps of applying a data cleaning algorithm to remove noise and abnormal values and standardize formats of different data sources; the core analysis module is used for carrying out flood risk assessment and sustainable management planning of water resources through a hydrological data analysis algorithm and a meteorological data analysis algorithm; the result display module is used for displaying the analysis result of the core analysis module in the forms of charts, reports and maps; the comprehensive data acquisition capability is provided, the key hydrologic and meteorological information is ensured to be acquired in real time, the reliability and timeliness of the data are enhanced, the data quality is improved by the data preprocessing module, and the accuracy of analysis is ensured.
Description
Technical Field
The invention provides a data processing method and system suitable for hydraulic engineering, and belongs to the field of hydraulic systems.
Background
The data processing system of the hydraulic engineering is a specially designed information technology system for collecting, processing, analyzing and displaying various data related to the hydraulic engineering. The main purpose of the system is to improve the management efficiency, safety and sustainability of hydraulic engineering;
The existing hydraulic engineering data processing technology may have the following main defects:
The prior art is overly complex, relying on multiple parameters and advanced calculations, which makes it difficult for non-professional personnel to understand and apply. For example, traditional flood risk assessment requires specialized hydrologic knowledge and complex computational methods, which limit its operability and widespread applicability in emergency situations;
Existing systems fail to adequately integrate disparate data sources (e.g., hydrologic and meteorological data) to provide a comprehensive risk assessment. The analysis method of the segmentation causes important risk factors to be ignored, thereby reducing the accuracy and the comprehensiveness of risk assessment;
The prior art lacks efficient risk threshold setting and automatic emergency response mechanisms. This means that manual analysis and identification is required when a risk occurs, resulting in delay of countermeasures. This delay has serious consequences in emergency situations such as floods.
Disclosure of Invention
The invention provides a data processing method and a system suitable for hydraulic engineering, and the adopted technical scheme is as follows:
A data processing system suitable for hydraulic engineering, comprising:
the data acquisition module is used for collecting data of the river, the weather station and the remote sensing satellite in real time, wherein the data comprise water level, flow rate, rainfall and air temperature;
the data preprocessing module is used for cleaning, formatting and primarily analyzing the collected data, and comprises the steps of applying a data cleaning algorithm to remove noise and abnormal values and standardize formats of different data sources;
The core analysis module is used for carrying out flood risk assessment and sustainable management planning of water resources through a hydrological data analysis algorithm and a meteorological data analysis algorithm;
The result display module is used for displaying the analysis result of the core analysis module in the forms of charts, reports and maps;
The output end of the data acquisition module is electrically connected with the input end of the data preprocessing module, the input end of the core analysis module is electrically connected with the data preprocessing module, and the output end of the core analysis module is connected with the input end of the result display module;
The comprehensive data acquisition capability is provided, the key hydrologic and meteorological information is ensured to be acquired in real time, the reliability and timeliness of the data are enhanced, the data quality is improved by the data preprocessing module, the accuracy of analysis is ensured, a solid foundation is laid for subsequent analysis through formatting and cleaning, the flood risk assessment and water resource management planning functions of the core analysis module are improved, the scientificity and effectiveness of hydraulic engineering decision making are improved, the analysis result is easier to understand and convey by the graphical display of the result display module, and the visibility of decision support is enhanced.
Preferably, the hydrological data analysis algorithm comprises:
Receiving water level and flow data in a unified format from a data preprocessing module;
Calculating a flood risk value through a hydrologic influence formula calculation formula;
comparing the calculation result with the historical data and the prediction model;
The implementation of the hydrologic data analysis algorithm simplifies the flood risk assessment flow, improves the processing speed and efficiency, and increases the accuracy and reliability of flood risk assessment by comparing with the historical data and the prediction model.
Preferably, it comprises:
F(W,Q)=W×Q；
wherein F (W, Q) represents a flood risk assessment index based on hydrologic data, W represents water level, and Q represents flow;
The two key parameters of water level and flow are directly utilized, and visual flood risk assessment is provided.
Preferably, the meteorological data analysis algorithm comprises:
obtaining rainfall and average temperature information in a standardized data format;
Calculating an influence value of the meteorological change on the reservoir through an environmental influence formula;
Generating detailed reports and charts about the influence of meteorological conditions;
the influence of the meteorological change on the reservoir can be accurately estimated by the design of the meteorological data analysis algorithm, and the coping capacity of the extreme weather event is enhanced; the detailed reports and charts generated provide an in-depth analysis of meteorological conditions that assist the decision maker in formulating a more rational water resource management strategy.
Preferably, the core analysis module further comprises:
Calculating a risk value through a risk analysis formula according to the output results of the hydrological data analysis algorithm and the meteorological data analysis algorithm,
The risk analysis formula includes:
wherein H (F, G) is a risk value, F is a flood risk assessment index based on hydrologic data, and G is an influence value of meteorological changes on a reservoir;
By combining the hydrologic and meteorological data analysis results, a comprehensive risk assessment is provided; the comprehensive analysis method improves the comprehensiveness and accuracy of risk assessment, so that the decision is more scientific and effective.
Preferably, the core analysis module further comprises:
Presetting a risk threshold, wherein the risk threshold is determined according to the reservoir historical data, and calculating an average risk value when a safety problem occurs in the reservoir, wherein the average risk value is the risk threshold, and the risk threshold is used for distinguishing normal and high risk states;
When the calculated risk value exceeds the threshold value, judging that the risk is in a high risk state, and taking emergency measures, including automatically triggering an alarm and notifying a manager and a related decision maker;
Providing a series of suggested emergency response measures based on the current risk value, including reinforcing river bank patrols, starting an emergency drainage system, preparing emergency rescue equipment and personnel, and giving early warning to a potentially affected area;
Providing a real-time risk assessment result visualization, displaying the result of risk assessment by adopting a Geographic Information System (GIS) map and an interactive dashboard, displaying the change of flood risk with time by using a dynamic chart, wherein the GIS map is used for displaying the geographic distribution of a risk area;
The user is allowed to update the assessment results based on the real-time data, using color coding to indicate the current risk level. For example, when the real-time data exceeds the risk threshold, the indicator light on the instrument panel changes from green to red, and the coping strategy is adjusted in time;
recording each risk assessment and emergency response situation for future analysis and improvement;
The system and the method allow users to evaluate the effectiveness of emergency response measures, are used for continuously optimizing the system performance and response strategies, integrate a feedback module in the system, record the effect and experience of emergency response in the feedback module, and analyze the feedback data by the system for improving the early warning mechanism and the emergency response strategies in the future.
Through the specific means, the functions of the core analysis module can be fully realized, so that a person skilled in the art can make clear and complete realization according to the application, and the corresponding technical problems are solved, and the expected technical effect is achieved;
the preset risk threshold value clearly determines the risk assessment standard, so that the high risk state can be identified in time, the quick response capability to emergency such as flood and the like is enhanced by the automatic alarm and the suggested emergency measures of the system, the real-time performance and effectiveness of risk management are improved by the visualization and dynamic monitoring functions of real-time risk assessment results, the establishment of a recording and feedback mechanism is conducive to continuous improvement of the risk assessment and emergency response strategies, and the system is ensured to be optimized continuously along with the time;
A data processing method and system suitable for hydraulic engineering use the data processing system suitable for hydraulic engineering.
The invention has the following beneficial effects:
The hydrologic data analysis algorithm and the meteorological data analysis algorithm greatly simplify the flood risk assessment process; by directly utilizing the core parameters (water level and flow versus hydrologic analysis, rainfall and temperature versus meteorological analysis), these algorithms can quickly generate a risk assessment index. This simplified approach not only improves the efficiency of risk assessment, but also allows non-professionals to easily understand and apply these formulas, so as to react quickly in an emergency situation; by combining the hydrographic and meteorological analysis results, a comprehensive flood risk assessment index is provided. The design of the formula considers the influence of different data sources, and ensures the comprehensiveness and accuracy of the evaluation result. The system and the method enable a manager to obtain visual understanding about flood risks in a single index, and help to formulate more effective emergency preparation and water resource management strategies; the proposed preset risk threshold provides an explicit risk assessment criterion for the system. The threshold value setting not only simplifies the risk identification process, but also enhances the timeliness and effectiveness of decision making. When the calculated risk value exceeds a preset threshold, the system can automatically trigger an alarm and propose specific emergency response measures. The method can be used for coping with emergency such as flood and the like more rapidly and orderly, and greatly improves the disaster prevention and reduction efficiency.
Drawings
Fig. 1 is a block diagram of a data processing system suitable for hydraulic engineering.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
1. Example 1:
A data processing system suitable for hydraulic engineering, comprising:
the data acquisition module is used for collecting data of the river, the weather station and the remote sensing satellite in real time, wherein the data comprise water level, flow rate, rainfall and air temperature;
the data preprocessing module is used for cleaning, formatting and primarily analyzing the collected data, and comprises the steps of applying a data cleaning algorithm to remove noise and abnormal values and standardize formats of different data sources;
The core analysis module is used for carrying out flood risk assessment and sustainable management planning of water resources through a hydrological data analysis algorithm and a meteorological data analysis algorithm;
The result display module is used for displaying the analysis result of the core analysis module in the forms of charts, reports and maps;
The output end of the data acquisition module is electrically connected with the input end of the data preprocessing module, the input end of the core analysis module is electrically connected with the data preprocessing module, and the output end of the core analysis module is connected with the input end of the result display module;
The comprehensive data acquisition capability is provided, the key hydrologic and meteorological information is ensured to be acquired in real time, the reliability and timeliness of the data are enhanced, the data quality is improved by the data preprocessing module, the accuracy of analysis is ensured, a solid foundation is laid for subsequent analysis through formatting and cleaning, the flood risk assessment and water resource management planning functions of the core analysis module are improved, the scientificity and effectiveness of hydraulic engineering decision making are improved, the analysis result is easier to understand and convey by the graphical display of the result display module, and the visibility of decision support is enhanced.
Specifically, the hydrological data analysis algorithm comprises:
Receiving water level and flow data in a unified format from a data preprocessing module;
Calculating a flood risk value through a hydrologic influence formula calculation formula;
comparing the calculation result with the historical data and the prediction model;
The implementation of the hydrologic data analysis algorithm simplifies the flood risk assessment flow, improves the processing speed and efficiency, and increases the accuracy and reliability of flood risk assessment by comparing with the historical data and the prediction model.
Specifically, the method comprises the following steps:
F(W,Q)=W×Q；
wherein F (W, Q) represents a flood risk assessment index based on hydrologic data, W represents water level, and Q represents flow;
The two key parameters of water level and flow are directly utilized, and visual flood risk assessment is provided.
Specifically, the meteorological data analysis algorithm comprises:
obtaining rainfall and average temperature information in a standardized data format;
Calculating an influence value of the meteorological change on the reservoir through an environmental influence formula;
Generating detailed reports and charts about the influence of meteorological conditions;
the influence of the meteorological change on the reservoir can be accurately estimated by the design of the meteorological data analysis algorithm, and the coping capacity of the extreme weather event is enhanced; the detailed reports and charts generated provide an in-depth analysis of meteorological conditions that assist the decision maker in formulating a more rational water resource management strategy.
Specifically, the environmental impact formula includes:
G(R,T)=R×T
Wherein G (R, T) is the influence value of meteorological change on the reservoir, R is the rainfall, and T is the temperature value;
By combining the rainfall and the temperature value, a simple and effective weather influence assessment method is provided; the method enables the influence of meteorological conditions on water resources to be evaluated rapidly, and is helpful for adjusting the water resource management strategy in time.
Specifically, the core analysis module further includes:
Calculating a risk value through a risk analysis formula according to the output results of the hydrological data analysis algorithm and the meteorological data analysis algorithm,
The risk analysis formula includes:
wherein H (F, G) is a risk value, F is a flood risk assessment index based on hydrologic data, and G is an influence value of meteorological changes on a reservoir;
By combining two different analysis results a more comprehensive risk assessment can be provided. It takes into account not only the water level and flow (a direct factor of the flood risk) but also meteorological factors such as rainfall and temperature, which also have a significant impact on the flood risk.
The formula uses the concept of Euclidean distance (Euclidean distance), similar to calculating the distance of a point to the origin in two dimensions. In this context, it represents the "distance" from two different risk factors (hydrology and weather) to the "no risk" state. The H (F, G) value implies a higher overall risk; allowing flexibility in adapting to a variety of different scenarios and data sets, whether extensive regional analysis or risk assessment at specific points.
By combining the hydrologic and meteorological data analysis results, a comprehensive risk assessment is provided; the comprehensive analysis method improves the comprehensiveness and accuracy of risk assessment, so that the decision is more scientific and effective.
Specifically, the core analysis module further includes:
a preset risk threshold is used for distinguishing normal and high risk states;
When the calculated risk value exceeds the threshold value, judging that the risk is in a high risk state, and taking emergency measures, including automatically triggering an alarm and notifying a manager and a related decision maker;
Providing a series of suggested emergency response measures based on the current risk value, including reinforcing river bank patrols, starting an emergency drainage system, preparing emergency rescue equipment and personnel, and giving early warning to a potentially affected area;
Providing a real-time risk assessment result visualization including a risk profile and a trend analysis chart;
allowing a user to update an evaluation result according to real-time data and timely adjust a coping strategy;
recording each risk assessment and emergency response situation for future analysis and improvement;
Allowing users to evaluate the effectiveness of emergency response measures for continuously optimizing system performance and response strategies;
The preset risk threshold value clearly determines the risk assessment standard, so that the high risk state can be identified in time, the quick response capability to emergency situations such as floods and the like is enhanced by automatic alarming and suggested emergency measures of the system, the real-time performance and effectiveness of risk management are improved by the visualization and dynamic monitoring functions of real-time risk assessment results, the establishment of a recording and feedback mechanism is conducive to continuous improvement of the risk assessment and emergency response strategies, and the system is ensured to be optimized continuously along with the time.
A data processing method and system suitable for hydraulic engineering use the data processing system suitable for hydraulic engineering.
The beneficial effects of the embodiment are as follows:
The hydrologic data analysis algorithm and the meteorological data analysis algorithm greatly simplify the flood risk assessment process; by directly utilizing the core parameters (water level and flow versus hydrologic analysis, rainfall and temperature versus meteorological analysis), these algorithms can quickly generate a risk assessment index. This simplified approach not only improves the efficiency of risk assessment, but also allows non-professionals to easily understand and apply these formulas, so as to react quickly in an emergency situation; by combining the hydrographic and meteorological analysis results, a comprehensive flood risk assessment index is provided. The design of the formula considers the influence of different data sources, and ensures the comprehensiveness and accuracy of the evaluation result. The system and the method enable a manager to obtain visual understanding about flood risks in a single index, and help to formulate more effective emergency preparation and water resource management strategies; the proposed preset risk threshold provides an explicit risk assessment criterion for the system. The threshold value setting not only simplifies the risk identification process, but also enhances the timeliness and effectiveness of decision making. When the calculated risk value exceeds a preset threshold, the system can automatically trigger an alarm and propose specific emergency response measures. The method can be used for coping with emergency such as flood and the like more rapidly and orderly, and greatly improves the disaster prevention and reduction efficiency.
2. Example 2:
the application of the application in a practical scenario is as follows:
Actual scene setting
It is assumed that it is necessary to evaluate the flood risk of a hydraulic engineering located downstream of the yellow river under specific meteorological conditions. The region is about to come into seasonal storm, so that flood risks need to be accurately predicted and corresponding emergency measures are formulated;
hydrologic data: the main river channel water level of the current yellow river downstream area is 6 meters, and the flow is 500 cubic meters per second;
Weather data: predicting that the area will have 100 mm rainfall within 48 hours in the future, wherein the average air temperature is 22 ℃;
hydrologic data analysis:
the formula: f (W, Q) =w×q substitution value: w=6 meters, q=500 chapters Fang Mi/sec;
Calculation results: f (6,500) =6×500=3000;
Meteorological data analysis
The formula: g (R, T) =r×t substituted value: r=100 mm, t=22 degrees celsius.
Calculation results: g (100,22) =100×22=2200;
Risk value formula: h (F, G) =f+g;
Calculation results: h (3000,2200) =3000+2200≡ 3715.76.
Threshold definition: setting the risk threshold to 3500, exceeding which represents a high risk, requires immediate emergency action.
Analysis: the value of H (F, G) is 3715.76, exceeding the set threshold 3500, indicating a higher flood risk for the current situation.
Emergency response
And (3) measure starting: immediately starting a flood emergency plan, including reinforcing river levee inspection, preparing emergency drainage facilities, and sending flood early warning to downstream areas;
And (3) resource allocation: according to the analysis result and the prediction data, disaster relief materials and personnel are reasonably allocated, and quick response is ensured;
This embodiment demonstrates how the hydrologic and meteorological data are used in conjunction with our linkage formulas to make flood risk assessment. By setting reasonable thresholds, the skilled person can clearly know when the flood risk reaches a level where emergency measures need to be taken. The method ensures that the risk assessment is accurate and practical, is beneficial to timely making key decisions, and reduces potential loss and influence.
Claims (2)
1. A data processing system suitable for hydraulic engineering, comprising:
the data acquisition module is used for collecting data of the river, the weather station and the remote sensing satellite in real time, wherein the data comprise water level, flow rate, rainfall and air temperature;
the data preprocessing module is used for cleaning, formatting and primarily analyzing the collected data, and comprises the steps of applying a data cleaning algorithm to remove noise and abnormal values and standardize formats of different data sources;
The core analysis module is used for carrying out flood risk assessment and sustainable management planning of water resources through a hydrological data analysis algorithm and a meteorological data analysis algorithm;
The result display module is used for displaying the analysis result of the core analysis module in the forms of charts, reports and maps;
The output end of the data acquisition module is electrically connected with the input end of the data preprocessing module, the input end of the core analysis module is electrically connected with the data preprocessing module, and the output end of the core analysis module is connected with the input end of the result display module;
the hydrologic data analysis algorithm includes:
Receiving water level and flow data in a unified format from a data preprocessing module;
Calculating a flood risk value through a hydrologic influence formula calculation formula;
comparing the calculation result with the historical data and the prediction model;
The hydrologic impact formula includes:
F(W,Q)＝W×Q；
Wherein F (W, Q) represents a flood risk assessment index based on hydrologic data, W represents water level, and Q represents flow;
the meteorological data analysis algorithm comprises the following steps:
obtaining rainfall and average temperature information in a standardized data format;
Calculating an influence value of the meteorological change on the reservoir through an environmental influence formula;
Generating detailed reports and charts about the influence of meteorological conditions;
The environmental impact formula includes:
G(R,T)＝R×T
wherein G (R, T) is the influence value of meteorological change on the reservoir, R is the rainfall, and T is the temperature value;
The core analysis module further comprises:
Calculating a risk value through a risk analysis formula according to the output results of the hydrological data analysis algorithm and the meteorological data analysis algorithm,
The risk analysis formula includes:
wherein H (F, G) is a risk value, F is a flood risk assessment index based on hydrologic data, and G is an influence value of meteorological changes on a reservoir;
a preset risk threshold is used for distinguishing normal and high risk states;
When the calculated risk value exceeds the threshold value, judging that the risk is in a high risk state, and taking emergency measures, including automatically triggering an alarm and notifying a manager and a related decision maker;
Providing a series of suggested emergency response measures based on the current risk value, including reinforcing river bank patrols, starting an emergency drainage system, preparing emergency rescue equipment and personnel, and giving early warning to a potentially affected area;
Providing a real-time risk assessment result visualization including a risk profile and a trend analysis chart;
allowing a user to update an evaluation result according to real-time data and timely adjust a coping strategy;
recording each risk assessment and emergency response situation for future analysis and improvement;
the user is allowed to evaluate the effectiveness of the emergency response measures for continuously optimizing system performance and response strategies.
2. A data processing method suitable for hydraulic engineering is characterized in that: use is made of a data processing system suitable for hydraulic engineering according to claim 1.
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