Flood and drought disaster defense system based on multi-source data fusion and intelligent analysis

Abstract

The invention discloses a flood and drought disaster defense system based on multi-source data fusion and intelligent analysis, which relates to the technical field of flood and drought disaster defense and comprises a data acquisition module, a real-time monitoring module, an early warning push module, a short message push module, an emergency response and disposal module, a disposal feedback module, a data statistics module and a prediction and forecast module. Through data acquisition, processing and big data analysis technologies, comprehensive monitoring, real-time early warning, prediction and forecast, early warning release, emergency response and whole-process management of flood and drought disasters are realized, so that the overall efficiency and response speed of disaster response are improved. The system deeply integrates the service disposal process of the defense departments, realizes the full-process management of the defense departments at all levels in the aspects of emergency response, task allocation, event disposal, data statistical reporting and the like, realizes the comprehensive integration and efficient sharing of multi-source data, and breaks the phenomenon of data islands.

Description

Technical Field

[0001] The present invention belongs to the technical field of flood and drought disaster prevention, and specifically is a flood and drought disaster prevention system based on multi-source data fusion and intelligent analysis. Background Art

[0002] Floods and droughts are common natural disasters, closely linked to local natural, geographical, and climatic factors. In recent years, they have become increasingly frequent, causing incalculable losses. How to reasonably predict future trends in floods and droughts, so that timely preventative measures can be taken to mitigate or alleviate these disasters, is a topic that warrants further research in current flood control and drought relief efforts.

[0003] As global climate change intensifies, water and drought disasters occur frequently, and the traditional water conservancy disaster prevention and mitigation system seems to be unable to cope with the complex and changing disaster environment. The main problems include incomplete monitoring information, insufficient prediction and forecasting capabilities, and low efficiency of inter-departmental coordination. As global climate change intensifies, water and drought disasters occur frequently, and the traditional water conservancy disaster prevention and mitigation system seems to be unable to cope with the complex and changing disaster environment.

[0004] However, with the intensification of global climate change, floods and droughts are becoming more frequent, posing a serious threat to people's lives and property. The traditional water conservancy disaster prevention and mitigation system is unable to cope with the complex and changing disaster environment, mainly due to incomplete monitoring information, insufficient prediction and forecasting capabilities, and low efficiency of inter-departmental coordination. Therefore, a more efficient and intelligent flood and drought disaster prevention system is needed to meet these challenges. Based on this, a flood and drought disaster prevention system based on multi-source data fusion and intelligent analysis is proposed. Summary of the Invention

[0005] The purpose of the present invention is to provide a flood and drought disaster prevention system based on multi-source data fusion and intelligent analysis, which solves the technical problems of traditional water conservancy disaster prevention and mitigation systems in the face of complex and changeable disaster environments, such as incomplete monitoring information, insufficient prediction and forecasting capabilities, and low efficiency of inter-departmental collaboration.

[0006] A flood and drought disaster prevention system based on multi-source data fusion and intelligent analysis, including:

[0007] The data acquisition module acquires meteorological, hydrological, water and rainfall, and drought monitoring information data and inputs them into the real-time monitoring module;

[0008] The real-time monitoring module compares and analyzes the monitoring data with the preset warning threshold, generates warning level information, and outputs it to the warning push module;

[0009] The early warning push module determines the corresponding responsible person based on the type and area corresponding to the early warning level information;

[0010] The emergency response and disposal module is used to implement corresponding emergency response and disposal measures after the responsible person receives the warning information;

[0011] In the data statistics module, after the response is completed, the defense responsible person of each district reports the situation of the rescue forces dispatched for this response.

[0012] As a further solution of the present invention: it also includes a prediction and forecasting module, which is used to obtain weather forecast data, accumulated rainfall at water stations and real-time monitoring water situation data, input them into the flood forecasting model for analysis, and make rolling predictions of flood and waterlogging information in the future period, and predict the warning stations and their flooding risks in the future period based on the prediction and warning thresholds, and output the warning information to the warning push module.

[0013] As a further solution of the present invention: the data acquisition module sets the frequency of data acquisition to ensure the timeliness and accuracy of the data.

[0014] As a further solution of the present invention: the real-time monitoring module uses GIS technology to integrate geographic information data, uses spatial interpolation to fill in the blank areas between monitoring sites, and improves the spatial continuity of the data.

[0015] As a further solution of the present invention: a database of responsible persons is pre-established in the SMS push module to record in detail the responsible person information corresponding to different monitoring data types, and set priority rules for early warning push.

[0016] As a further solution of the present invention: after the responsible person implements the emergency response measures, the disposal feedback module will feedback the warning level information of various monitoring data corresponding to the disposal results respectively, and after the response is released, generate a review and summary report of the entire response process.

[0017] As a further solution of the present invention: the data statistics module records the rescue force information during each emergency response and regularly generates statistical reports, and submits the reports to the superior defense management department.

[0018] Compared with the prior art, the present invention has the following beneficial effects:

[0019] (1) The present invention realizes comprehensive monitoring, real-time warning, prediction and forecast, warning release, emergency response and whole-process management of water and drought disasters through data collection, processing and big data analysis technology, so as to improve the overall efficiency and response speed of disaster response. The system deeply integrates the business handling process of defense departments, realizes the whole-process management of emergency response, task allocation, event handling, data statistics reporting and other aspects of defense departments at all levels, realizes the comprehensive integration and efficient sharing of multi-source data, breaks the data island phenomenon, and automatically generates a review and summary report of the entire response process, providing reference and improvement direction for subsequent work, improving the management demand for efficient disaster prevention and mitigation business, improving the emergency guarantee and dispatching capabilities of water and drought disaster defense, and comprehensively improving the level of water and drought disaster defense information management.

[0020] (2) This invention, through its real-time monitoring module and prediction and forecasting module, enables accurate prediction of future disaster trends and timely warnings. Once an anomaly in monitoring data is detected or a disaster risk is predicted, the system automatically pushes warning information to the relevant responsible personnel and initiates the corresponding emergency response process. Based on the warning information and emergency response process, defense departments at all levels can quickly take countermeasures to reduce disaster losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 Schematic diagram of the system framework structure of the present invention;

[0022] Figure 2 Schematic diagram of the flow of the prediction module of the present invention. DETAILED DESCRIPTION

[0023] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0024] Example 1

[0025] See also Figure 1-Figure 2 ,This application provides a flood and drought disaster prevention system based on multi-source data fusion and intelligent analysis, including;

[0026] The data acquisition module acquires monitoring data on meteorology, hydrology, water and rainfall conditions, and drought conditions through multiple channels, including rain gauges, water level stations, weather stations, video surveillance, sensors (such as water level gauges and flow meters), and satellite remote sensing. After classification, storage, and pre-processing, the data is input into the real-time monitoring module to acquire and collect monitoring data on water levels and water depth at flood-prone areas.

[0027] It should be noted that the above acquisition methods are all existing and mature technical means, so they will not be described in detail here;

[0028] The data acquisition module acquires data from various channels, pre-processes it, and then feeds it into the real-time monitoring module. Data from various sources (such as rain gauges, water level stations, meteorological stations, and video surveillance) converges here, providing a comprehensive foundation for subsequent analysis and decision-making. For example, rain gauges provide rainfall data, while water level stations provide water level data. Together, these provide the material for the real-time monitoring module to integrate water conservancy information maps, achieving comprehensive coverage of water and rainfall monitoring information.

[0029] The real-time monitoring module is used to receive classified, stored, and pre-processed meteorological, hydrological, water-rain, and drought monitoring data. After receiving the data, it integrates the monitoring data collected by various monitoring equipment such as rain gauges, water level stations, weather stations, and video surveillance with geographic information data to form an intuitive water conservancy information map, which is dynamically updated and displayed in real time to achieve full coverage and real-time performance of water-rain monitoring information, ensuring the accuracy and timeliness of the data.

[0030] At the same time, by comparing and analyzing the various monitoring data collected by various monitoring equipment such as rain gauges, water level stations, meteorological stations, and video surveillance with the preset warning thresholds of various monitoring data in the real-time monitoring module, the warning level information corresponding to each type of monitoring data is obtained according to the comparative analysis results. That is, when various types of monitoring data exceed the corresponding preset warning level thresholds, the corresponding warning level information is generated according to the preset warning rules and output to the forecast and warning push module;

[0031] When integrating geographic information data, the specific functions and algorithms of GIS technology are adopted, and spatial interpolation is used to fill the blank areas between monitoring sites to improve the spatial continuity of the data. For the generation of warning levels, different threshold ranges can be set to correspond to different warning levels based on the historical flood and drought data of different regions. For example, a yellow warning is set when the water level exceeds 1.2 times the historical average water level, and an orange warning is set when it exceeds 1.5 times the historical average water level.

[0032] The real-time monitoring module compares and analyzes monitoring data against pre-set warning thresholds, generates warning levels, and then outputs them to the warning push module. These two modules work closely together to ensure that any abnormalities in monitoring data are promptly transmitted to the relevant responsible personnel.

[0033] The early warning push module generates early warning level information corresponding to each type of monitoring data received, and outputs the early warning level information to the SMS push module;

[0034] The corresponding responsible individuals are identified based on the type and region of the warning level information. Upon receiving the warning level information, the emergency response and disposal module initiates appropriate measures. This collaborative approach ensures that warning level information can be quickly translated into actual emergency actions. Once the warning level is determined, the system automatically generates task notifications based on pre-set rules and sends them to the corresponding defense business department or responsible individuals via SMS push notifications. These notifications should include warning details, emergency response instructions, and expected actions.

[0035] The SMS push module sends warning information of the corresponding warning level to the responsible person according to the warning level of each type of monitoring data;

[0036] A database of responsible persons is pre-established in the SMS push module, which records in detail the responsible person information corresponding to different monitoring data types, including name, contact information, department, etc. At the same time, priority rules for early warning push are set. For example, for information of orange warning level and above, it will be pushed to the mobile phone text messages and work emails of the relevant department heads first to ensure that important information is conveyed in a timely manner.

[0037] The emergency response and disposal module, after the corresponding responsible persons of the warning levels of various monitoring data receive the pushed warning information, the defense business department will implement the corresponding emergency response and disposal measures;

[0038] The response feedback module is used to provide feedback on the corresponding response results based on the warning levels of various monitoring data after the responsible person implements the corresponding emergency response measures. After the response is completed, the system automatically generates a review and summary report of the entire response process;

[0039] For example, when an orange alert is received for flood disasters, the emergency response process can include specific measures such as mobilizing emergency rescue teams, deploying flood control supplies, and evacuating residents in flood-prone areas. Timelines and responsible individuals can also be set for each measure to ensure efficient implementation of emergency response measures.

[0040] The disposal feedback module is used to provide feedback on the corresponding disposal results of the warning levels of various types of monitoring data after the responsible person implements the corresponding emergency disposal measures. After the response is completed, the system automatically generates a review and summary report of the entire response process, including detailed records and analysis of each link such as warning issuance, emergency response, and disposal measures, to provide reference and improvement direction for subsequent work. For example, if drainage measures are taken for a certain flood-prone point, the disposal feedback module will feedback information such as the changes in the depth of accumulated water at the flood-prone point (corresponding to the warning level disposal results of the water level monitoring data) and the implementation effect of the drainage measures.

[0041] The data statistics module is used to record the rescue force information during each emergency response and generate statistical reports regularly after the response is completed. The data on the rescue force dispatched for this response and the emergency response measures at the warning level reported by the defense responsible persons in each district are recorded and stored, and then re-entered into the emergency response and disposal module for the defense business department to review and summarize the response;

[0042] The data statistics module should not only record each warning and its handling measures, but also generate statistical reports regularly. These reports should analyze key indicators such as task completion, response time, and event handling effectiveness. These reports should be automatically or on-demand reported to higher-level disaster prevention management departments to facilitate cross-regional disaster prevention coordination and decision-making support.

[0043] When recording and storing data, the feedback format of the disposal results can be standardized in advance, for example, using a unified table format, including monitoring data type, warning level, disposal measures, disposal time, disposal effect evaluation, etc., to facilitate data statistics and analysis;

[0044] The data statistics module re-enters the recorded and stored information into the emergency response and disposal module, and the defense business department reviews and summarizes the response. This is a feedback mechanism. Through the analysis and summary of historical data, problems and deficiencies in the emergency response process can be discovered, and then the emergency response measures and processes can be adjusted and optimized, providing a better decision-making basis for future disaster prevention and mitigation work.

[0045] The data statistics module is used to record and store relevant information, for example, recording each warning level and the emergency response measures taken by the corresponding responsible person, providing data support for subsequent response review and summary, and also providing a basis for the effectiveness evaluation of emergency response measures.

[0046] Through data collection, processing and big data analysis technology, we can achieve comprehensive monitoring, real-time early warning, prediction and forecast, warning issuance, emergency response and full-process management of water and drought disasters, so as to improve the overall efficiency and response speed of disaster response. The system deeply integrates the business handling process of defense departments to achieve full-process management of emergency response, task allocation, event handling, data statistics reporting and other aspects of defense departments at all levels. At the same time, the system automatically generates a review and summary report of the entire response process, providing reference and improvement direction for subsequent work, improving the management needs of efficient disaster prevention and mitigation business, improving the emergency guarantee and dispatch capabilities of water and drought disaster prevention, and comprehensively improving the level of information management of water and drought disaster prevention;

[0047] By building a unified data collection platform and data processing center, the system achieves comprehensive integration and efficient sharing of multi-source data, breaking down data silos and providing unified data views and decision-making support for defense departments at all levels in the city. The system deeply integrates information systems with water conservancy operations, ensuring it fully and accurately reflects the actual needs of water conservancy work and providing strong business support. Defense departments at all levels in the city can directly perform tasks, handle incidents, and report data statistics within the system, achieving seamless integration and efficient operation of business processes.

[0048] Example 2

[0049] As the second embodiment of the present invention, when the present application is specifically implemented, compared with the first embodiment, the technical solution of this embodiment is different from that of the first embodiment only in that this embodiment further includes a prediction module;

[0050] The prediction module acquires weather forecast data, accumulated rainfall at water stations, and real-time water regime data, and inputs them into the flood forecast model. Based on big data analysis and the flood forecast model, it conducts in-depth mining and analysis of weather forecast data, accumulated rainfall at water stations, and real-time water regime data, and produces rolling forecasts of flood and waterlogging information for the coming period.

[0051] At the same time, based on various prediction and warning thresholds, the exceeding warning stations in the future period are predicted, and the flooding risk of the exceeding warning stations, that is, the flooding range and water depth, is obtained, and then the corresponding warning level and warning type are obtained, and input into the warning push module. The corresponding responsible person is determined by the warning push module, and the warning information is pushed to the relevant responsible person through the SMS push module, realizing the hierarchical and classified push of warning information, which is conducive to automatically pushing warning information to relevant personnel or departments according to the prediction results or the warning judgment results of the real-time monitoring module.

[0052] Through its real-time monitoring and forecasting modules, the system accurately predicts future disaster trends and provides timely warnings. If monitoring data shows an anomaly or a disaster risk is predicted, the system automatically sends warnings to the responsible personnel and initiates the appropriate emergency response process. Based on these warnings and emergency response procedures, defense departments at all levels can quickly implement countermeasures to mitigate disaster losses.

[0053] Example 3

[0054] As the third embodiment of the present invention, when this application is specifically implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments.

[0055] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters and thresholds in the formulas are set by technicians in this field according to actual conditions.

[0056] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A flood and drought disaster prevention system based on multi-source data fusion and intelligent analysis, characterized by: include: The data acquisition module acquires meteorological, hydrological, water and rainfall, and drought monitoring information data and inputs them into the real-time monitoring module; The real-time monitoring module compares and analyzes the monitoring data with the preset warning threshold, generates warning level information, and outputs it to the warning push module; The early warning push module determines the corresponding responsible person based on the type and area corresponding to the early warning level information; SMS push module, used to push warning information to corresponding responsible persons according to warning level information; The emergency response and disposal module is used to implement corresponding emergency response and disposal measures after the responsible person receives the warning information; The response feedback module is used to feed back the response results to the system after the responsible person implements the emergency response measures; In the data statistics module, after the response is completed, the defense responsible person of each district reports the situation of the rescue forces dispatched for this response.

2. The flood and drought disaster prevention system based on multi-source data fusion and intelligent analysis according to claim 1 is characterized in that: It also includes a prediction and forecasting module, which is used to obtain weather forecast data, accumulated rainfall at rain gauges and real-time water situation monitoring data, input them into the flood forecasting model for analysis, and make rolling predictions of flood and waterlogging information in the future. It also predicts the warning stations and their flooding risks in the future period based on the prediction and warning thresholds, and outputs the warning information to the warning push module.

3. The flood and drought disaster prevention system based on multi-source data fusion and intelligent analysis according to claim 1 is characterized in that: The real-time monitoring module uses GIS technology to integrate geographic information data and uses spatial interpolation to fill in the blank areas between monitoring sites to improve the spatial continuity of data.

4. The flood and drought disaster prevention system based on multi-source data fusion and intelligent analysis according to claim 1 is characterized in that: A database of responsible persons is pre-established in the SMS push module to record in detail the responsible person information corresponding to different monitoring data types, and set priority rules for early warning push.

5. The flood and drought disaster prevention system based on multi-source data fusion and intelligent analysis according to claim 1 is characterized in that: After the responsible person implements the emergency response measures, the disposal feedback module will provide feedback on the warning level information of various monitoring data corresponding to the disposal results, and generate a review and summary report of the entire response process after the response is completed.

6. The flood and drought disaster prevention system based on multi-source data fusion and intelligent analysis according to claim 1 is characterized in that: The data statistics module records the rescue force information during each emergency response and generates statistical reports regularly, and submits the reports to the superior defense management department.

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