Meteorological and water conservancy disaster intelligent hierarchical early warning linkage calling routing method and system

Abstract

The application discloses a kind of meteorological water conservancy disaster intelligent grading early warning linkage calling routing method and system.Through the construction meteorological water conservancy double factor early warning matrix, establish cross-department data fusion channel, develop early warning coupling model, realize multidimensional early warning fusion.Formulate water conservancy special response strategy library, including river water level grading route and mountain torrent risk area customization strategy.Develop intelligent water conservancy enhancement module, such as flood control engineering topology analysis engine and water rain work condition semantic analyzer.With the first dynamic coupling algorithm to build three-element risk rating model, based on double dimension water conservancy emergency response topology network and water conservancy engineering BIM data and meteorological early warning space overlay analysis module and other characteristic innovation features.Can improve the accuracy and comprehensiveness of disaster warning, ensure the timeliness and effectiveness of emergency response, improve the intelligent level of system and disaster response capability.

Description

Technical Field

[0001] This invention relates to the field of meteorological and water conservancy disaster early warning, and specifically to a method and system for intelligent hierarchical early warning linkage call routing for meteorological and water conservancy disasters. Background Technology

[0002] Meteorological and water-related disasters pose a serious threat to socio-economic development and the safety of people's lives and property. Traditional early warning and response mechanisms often suffer from problems such as untimely and inaccurate information transmission and difficulties in inter-departmental coordination. For example, in floods caused by torrential rains, early warning information issued by meteorological departments may not be promptly and accurately conveyed to water conservancy departments and relevant responsible units, leading to delayed response measures. Furthermore, inconsistent data formats and standards between different departments hinder effective data fusion and sharing, affecting comprehensive disaster assessment and decision-making. Therefore, a method and system are needed to integrate meteorological and water conservancy data, enabling intelligent hierarchical early warning and coordinated call routing to improve the efficiency and accuracy of disaster response. Summary of the Invention

[0003] To address the technical problems existing in the prior art, this application provides an intelligent hierarchical early warning and linkage call routing system for meteorological and water conservancy disasters, comprising: a data acquisition module for real-time acquisition of meteorological early warning data and water conservancy monitoring data, wherein the meteorological early warning data includes early warning levels and meteorological element parameters, and the water conservancy monitoring data includes hydrological parameters and water conservancy project operation status parameters; a routing decision module for joint analysis of meteorological early warning data and water conservancy monitoring data according to preset multi-dimensional early warning fusion rules, and dynamically generating hierarchical call routing strategies, wherein the routing strategies at least include a priority sequence of call objects and a combination of call methods; a call execution module for executing multi-mode early warning calls based on the strategies output by the routing decision module, wherein the multi-mode early warning calls include at least one combination of voice calls, SMS messages, and audible and visual alarms; and a feedback optimization module for real-time monitoring of call response status and dynamic optimization of subsequent call strategies based on response timeliness and response results; wherein the routing decision module includes a water conservancy project topology analysis unit for parsing the spatial topology relationship of flood control projects, and automatically initiating a defense linkage call to the responsible persons in the downstream related areas when a specific water conservancy facility experiences an early warning status.

[0004] The system collects real-time warning levels and rainfall forecasts from meteorological departments via standardized interfaces, and simultaneously accesses water level monitoring station data, reservoir flood control orders, and flash flood monitoring information from water conservancy departments. Spatial data fusion technology is used to align meteorological GIS layers with water conservancy project distribution maps, constructing a watershed digital baseboard including elements such as rivers, dikes, and flood storage areas. A multi-dimensional early warning fusion model is deployed, trained using historical disaster data to form a rule base for meteorological-water conservancy parameter association. When a red rainstorm warning is received, the model automatically associates it with real-time inflow data from reservoirs within the watershed. If the combined condition of "3-hour areal rainfall exceeding the flood control plan threshold and reservoir water level approaching the flood limit" is detected, a cross-departmental joint response command is immediately triggered. A spatial topology analysis engine analyzes the spatial association network of dike projects. When a section of dike experiences piping alarm, a linkage call list for responsible persons within a 10-kilometer downstream administrative region is automatically generated. A tiered call strategy is generated based on a dynamic routing algorithm. For villages at high risk of flash floods, the system, based on critical rainfall indicators set by the water resources department, initiates a three-tiered progressive call mechanism: village-level early warning personnel → township flood control leaders → county-level commanders. When there is a time conflict between reservoir dispatch instructions and rainstorm warnings, priority is given to calling those responsible for flood discharge safety, while simultaneously notifying those responsible for evacuating residents in the affected areas. Voice recognition technology verifies the recipient's identity and records the response time from call initiation to receiving a valid response. When the average response time of multiple responsible parties in the same warning event exceeds a preset threshold, the system automatically optimizes the priority ranking of subsequent call strategies for that area. After receiving feedback from the water conservancy project management unit, the closed-loop verification unit feeds the actual handling results back into the early warning model parameter library, enabling the system to learn itself.

[0005] Furthermore, the establishment of a multi-dimensional early warning fusion mechanism includes: constructing a meteorological-hydrological dual-factor early warning matrix, incorporating river warning water levels (blue / yellow / orange / red), reservoir flood control limits, and geological disaster risk levels issued by the water resources department into the early warning parameter system; establishing a cross-departmental data fusion channel to access real-time data from hydrological monitoring stations (river water level / flow / reservoir inflow), flood control project operation status (gate opening / levee condition), and flash flood disaster monitoring data; and developing an early warning coupling model based on watershed characteristics, which automatically upgrades the response level when hourly rainfall exceeds the threshold of the water resources department's flood control plan.

[0006] In one embodiment, the data acquisition module includes: a meteorological data interface unit for receiving early warning level information and actual monitoring data issued by the meteorological department; a water conservancy data interface unit for accessing watershed water level monitoring data, reservoir operation parameters and flash flood disaster monitoring data from the water conservancy department; and a spatial data fusion unit for performing coordinate system unification processing on meteorological GIS data and spatial distribution data of water conservancy projects.

[0007] In one embodiment, the routing decision module further includes: a dynamic priority calculation unit, used to adjust the call order based on the real-time risk level of the disaster-affected area, and automatically increase the call priority of the person in charge of the corresponding area when the preset watershed characteristic parameters are detected to reach the flood control plan threshold; and a semantic analysis unit, used to parse the key water conservancy element parameters in the early warning text, including but not limited to river warning water level, reservoir flood control instructions and dike condition information.

[0008] In one embodiment, the call execution module includes: an intelligent retry unit that initiates a progressive retry mechanism at preset time intervals when the first call fails to receive a valid response, the retry mechanism including call object upgrade rules and call method enhancement rules; and a cross-level jump unit that automatically skips the current call object level and initiates a call to a higher-level responsible person after a preset number of consecutive call attempts have failed to receive a response.

[0009] In one embodiment, the feedback optimization module includes: a response timeliness evaluation unit, used to record the time interval from call initiation to obtaining a valid response, and triggering a strategy adjustment instruction when the preset response time limit is exceeded; and a closed-loop verification unit, used to confirm the identity of the recipient through voice recognition technology, and automatically generate an information transmission completion certificate after obtaining a valid response.

[0010] In one embodiment, the routing decision module further includes a composite early warning analysis unit, used to generate a cross-departmental joint response strategy when the meteorological early warning level and the water conservancy monitoring parameters meet the preset composite early warning conditions. The joint response strategy includes instructions to call flood control command member units and relevant administrative region responsible persons in parallel.

[0011] In one embodiment, the system further includes a water conservancy project impact analysis unit, used to perform spatial overlay analysis of water conservancy facility BIM model data and real-time meteorological early warning data, automatically identify a list of water conservancy facilities that may be affected by rainstorms, and generate targeted emergency response plans for project maintenance personnel.

[0012] This invention also provides an embodiment of a meteorological and water conservancy early warning linkage call routing method, applied to the aforementioned intelligent hierarchical early warning linkage call routing system for meteorological and water conservancy disasters. The method includes: real-time acquisition of meteorological early warning data and water conservancy monitoring data, wherein the meteorological early warning data includes early warning levels and meteorological element parameters, and the water conservancy monitoring data includes hydrological parameters and water conservancy project operation status parameters; joint analysis of the meteorological early warning data and water conservancy monitoring data according to preset multi-dimensional early warning fusion rules, dynamically generating a hierarchical call routing strategy, wherein the routing strategy at least includes a call target priority sequence and a call method combination; execution of multi-mode early warning calls based on the output strategy, wherein the multi-mode early warning calls include voice calls, SMS messages, and audible and visual alarms; real-time monitoring of call response status, and dynamic optimization of subsequent call strategies based on response timeliness and response results.

[0013] Furthermore, the method also includes constructing a meteorological-hydraulic dual-factor early warning matrix, incorporating river warning water level levels, reservoir flood control limit water levels, and geological disaster risk levels issued by the water resources department into the early warning parameter system; establishing a cross-departmental data fusion channel to access hydrological monitoring station data, flood control project operation status data, and flash flood disaster monitoring data in real time; using a meteorological semantic recognition module and a newly added water-rain-engineering semantic analyzer to parse meteorological elements and water resources professional terms to obtain key parameters; determining the early warning level based on the key parameters and the water resources department's flood control plan thresholds using an early warning coupling model based on watershed characteristics; determining the call recipients and call order according to a pre-set water resources-specific response strategy library dynamically bound to the early warning level; using a background communication robot to send real-time disaster monitoring information, forecast and early warning status, risk warnings, and disaster information to the call recipients via sound and light, voice calls, and SMS; receiving response feedback from the call recipients, and completing the information transmission loop when the response feedback meets the preset response conditions.

[0014] In one embodiment, the dynamic routing decision process further includes, when a critical rainfall level for flash flood disaster is detected, initiating a three-level progressive call mechanism to sequentially send calls to the operators; when a flood control project experiences a hazard warning, simultaneously initiating multi-way consultation calls to downstream related areas based on the project topology.

[0015] In one embodiment, the method further includes: training a machine learning model based on historical response data to optimize the matching rules between early warning levels and call strategies; regularly updating the water conservancy project impact analysis parameter library and dynamically adjusting the emergency response topology of watershed units in conjunction with the revision of flood control plans.

[0016] Beneficial effects

[0017] This solution provides a method and system for intelligent hierarchical early warning and linkage call routing for meteorological and water conservancy disasters. Through multi-dimensional technological innovation and collaborative operation, it comprehensively enhances disaster early warning and emergency response capabilities. The system utilizes a multi-dimensional early warning fusion mechanism to construct a meteorological-water conservancy dual-factor early warning matrix and establish cross-departmental data fusion channels, achieving deep integration of meteorological and water conservancy data. This overcomes the limitations of traditional single data sources. Combined with an early warning coupling model based on watershed characteristics, it significantly improves the accuracy and comprehensiveness of disaster early warnings, providing precise basis for subsequent responses. The water conservancy-specific response strategy library formulates differentiated response strategies for river water level classification and flash flood risk areas. Whether it's polling watershed management stations during a blue alert, triggering a cross-departmental joint meeting hotline during a red alert, or a three-level progressive call under flash flood disaster conditions, it ensures that call routing and response measures can be quickly clarified under different disaster scenarios and early warning levels, greatly improving the timeliness and effectiveness of emergency response. In the smart water conservancy enhancement module, the flood control engineering topology analysis engine analyzes the spatial relationships of water conservancy projects in real time, and the water and rainfall engineering semantic analyzer accurately identifies water conservancy professional terms. The combination of these two enhances the monitoring and management of water conservancy projects, enabling immediate activation of defense linkages upon detection of potential dangers. Furthermore, the pioneering three-element risk rating model dynamically couples rainfall, water levels, and engineering conditions. The water conservancy emergency response topology network, constructed based on a dual dimension of "watershed unit-administrative division," along with the water conservancy project BIM data and meteorological early warning spatial overlay analysis module, further enhances the system's intelligence level. This enables systematic linkage and early warning for water conservancy facilities such as reservoir groups, rivers, and flood storage areas, and generates customized emergency response plans based on disaster situations. This makes the entire disaster response system more scientific, intelligent, and efficient, building a solid technical defense line to protect people's lives and property. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0019] Figure 1 A module diagram of a meteorological and water conservancy early warning intelligent linkage call routing system provided in an embodiment of the present invention.

[0020] Figure 2 A flowchart illustrating the working steps of a meteorological and water conservancy early warning linkage call routing method provided in another embodiment of the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0022] It should be noted that if the embodiments of the present invention involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative positional relationship and movement of the components in a specific posture. If the specific posture changes, the directional indications will also change accordingly.

[0023] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the use of "and / or" or "and / or" throughout the text includes three parallel solutions. For example, "A and / or B" includes solution A, solution B, or a solution where both A and B are satisfied simultaneously. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0024] Example 1

[0025] refer to Figure 1To address the technical problems existing in the prior art, this application provides an intelligent hierarchical early warning and linkage call routing system for meteorological and water conservancy disasters, comprising: a data acquisition module for real-time acquisition of meteorological early warning data and water conservancy monitoring data, wherein the meteorological early warning data includes early warning levels and meteorological element parameters, and the water conservancy monitoring data includes hydrological parameters and water conservancy project operation status parameters; a routing decision module for joint analysis of meteorological early warning data and water conservancy monitoring data according to preset multi-dimensional early warning fusion rules, and dynamically generating hierarchical call routing strategies, wherein the routing strategies at least include a priority sequence of call objects and a combination of call methods; a call execution module for executing multi-mode early warning calls based on the strategies output by the routing decision module, wherein the multi-mode early warning calls include at least one combination of voice calls, SMS messages, and audible and visual alarms; and a feedback optimization module for real-time monitoring of call response status and dynamic optimization of subsequent call strategies based on response timeliness and response results; wherein the routing decision module includes a water conservancy project topology analysis unit for parsing the spatial topology relationship of flood control projects, and automatically initiating a defense linkage call to the responsible persons in the downstream related areas when a specific water conservancy facility experiences an early warning status.

[0026] The system collects real-time warning levels and rainfall forecasts from meteorological departments via standardized interfaces, and simultaneously accesses water level monitoring station data, reservoir flood control orders, and flash flood monitoring information from water conservancy departments. Spatial data fusion technology is used to align meteorological GIS layers with water conservancy project distribution maps, constructing a watershed digital baseboard including elements such as rivers, dikes, and flood storage areas. A multi-dimensional early warning fusion model is deployed, trained using historical disaster data to form a rule base for meteorological-water conservancy parameter association. When a red rainstorm warning is received, the model automatically associates it with real-time inflow data from reservoirs within the watershed. If the combined condition of "3-hour areal rainfall exceeding the flood control plan threshold and reservoir water level approaching the flood limit" is detected, a cross-departmental joint response command is immediately triggered. A spatial topology analysis engine analyzes the spatial association network of dike projects. When a section of dike experiences piping alarm, a linkage call list for responsible persons within a 10-kilometer downstream administrative region is automatically generated. A tiered call strategy is generated based on a dynamic routing algorithm. For villages at high risk of flash floods, the system, based on critical rainfall indicators set by the water resources department, initiates a three-tiered progressive call mechanism: village-level early warning personnel → township flood control leaders → county-level commanders. When there is a time conflict between reservoir dispatch instructions and rainstorm warnings, priority is given to calling those responsible for flood discharge safety, while simultaneously notifying those responsible for evacuating residents in the affected areas. Voice recognition technology verifies the recipient's identity and records the response time from call initiation to receiving a valid response. When the average response time of multiple responsible parties in the same warning event exceeds a preset threshold, the system automatically optimizes the priority ranking of subsequent call strategies for that area. After receiving feedback from the water conservancy project management unit, the closed-loop verification unit feeds the actual handling results back into the early warning model parameter library, enabling the system to learn itself.

[0027] Furthermore, the establishment of a multi-dimensional early warning fusion mechanism includes: constructing a meteorological-hydrological dual-factor early warning matrix, incorporating river warning water levels (blue / yellow / orange / red), reservoir flood control limits, and geological disaster risk levels issued by the water resources department into the early warning parameter system; establishing a cross-departmental data fusion channel to access real-time data from hydrological monitoring stations (river water level / flow / reservoir inflow), flood control project operation status (gate opening / levee condition), and flash flood disaster monitoring data; and developing an early warning coupling model based on watershed characteristics, which automatically upgrades the response level when hourly rainfall exceeds the threshold of the water resources department's flood control plan.

[0028] It should be noted that the above-mentioned early warning coupling model includes the following steps: Data preprocessing stage: Feature extraction of meteorological elements (rainfall intensity, duration) and water conservancy parameters (river water level rise, reservoir flood control volume) from historical disaster cases, establishing a standardized training set including scenarios such as rainstorms, flash floods, and urban flooding. Association rule mining: Using association analysis algorithms to identify the intrinsic relationship between meteorological early warning levels and water conservancy risks. For example, it was found that when hourly rainfall exceeds 50 mm, the rate of rise in water levels of small and medium-sized rivers is positively correlated with the hardening rate of the underlying surface of the watershed, and based on this, a rainfall-water level response coefficient matrix for different geomorphic units was established. Dynamic weight allocation: The weights of decision factors are dynamically adjusted according to real-time data streams. During typhoon passage, the weight ratio of storm surge monitoring data and coastal dike operating parameters is automatically increased; during the dry season, the focus is on the association analysis between reservoir water storage and irrigation canal operation status.

[0029] In some embodiments, such as in a red rainstorm warning linkage response scenario, the system first receives a red rainstorm warning signal issued by the meteorological observatory in real time through the meteorological data interface unit. This signal includes the predicted rainfall for the next 3 hours and radar echo intensity information. Simultaneously, the water resources data interface unit acquires real-time operating parameters of five large reservoirs within the target basin, including key indicators such as current water level, inflow, and floodgate opening. The spatial data fusion unit performs spatial overlay analysis on the rainstorm area forecast map provided by the meteorological department and the basin water system distribution map provided by the water resources department. Using a coordinate transformation algorithm, it eliminates projection biases from different data sources, generating a comprehensive situation map including rainfall isopleths, river level stations, and reservoir dam locations.

[0030] The multi-dimensional early warning fusion model initiates a composite condition judgment process, dynamically comparing real-time rainfall intensity data with threshold parameters in the reservoir flood control scheduling plan. When the system detects that the average rainfall in a sub-basin of a reservoir has exceeded the historical extreme value for the same period, and the reservoir water level rises at a rate reaching the emergency condition threshold in the design flood control standard within one hour, the model automatically triggers a Level I emergency response command. At this time, the spatial topology analysis engine immediately intervenes, analyzing the topological connectivity of the downstream river channel based on a pre-constructed digital twin model of the water conservancy project. Combining this with the longitudinal profile data of the river channel in the digital elevation model, it infers the administrative regions that may be affected during the flood's evolution.

[0031] The routing decision module generates a multi-threaded call strategy based on the simulation results. First, it sends an encrypted dispatch instruction containing the suggested flood discharge flow to the chief technical officer of the reservoir management unit. This instruction is transmitted via the government intranet and requires biometric verification by the recipient to ensure information security. Simultaneously with the initiation of flood discharge dispatch, the system automatically retrieves the database of flood control personnel in downstream affected areas. Combining administrative division layers and real-time population heat map data, it prioritizes voice calls to township-level flood control commanders in densely populated areas within the flood risk zone. The call content is dynamically generated using voice synthesis technology, including current water and rainfall data, the expected flood peak arrival time, and suggested emergency measures. When the system detects that a township-level commander's office phone has failed to connect twice consecutively, the intelligent retry unit immediately activates the emergency communication protocol. Through the converged communication gateway, the warning information is simultaneously pushed to the commander's government mobile terminal and the emergency broadcast system within the jurisdiction, ensuring that the warning information reaches the public through multiple channels.

[0032] At the provincial flood control command center, the system automatically connects to a video conferencing link, integrating real-time monitoring images of key reservoirs, downstream river water level change curves, and the dashboard display of responsible personnel's response status. When the provincial flood control office's duty leader answers the call, the system verifies the identity using voiceprint recognition technology, then initiates a multi-departmental joint dispatch process, automatically generating an emergency response proposal that includes material allocation plans, evacuation routes for residents, and traffic control measures. The timeline data of the entire early warning response process is transmitted back to the feedback optimization module in real time. By analyzing the response delay data at each stage, the system automatically optimizes the call recipient sorting rules and communication channel selection strategies for subsequent similar events.

[0033] The routing decision module further includes: a dynamic priority calculation unit, used to adjust the call order based on the real-time risk level of the disaster-affected area, and automatically upgrade the call priority of the responsible person in the corresponding area when the preset watershed characteristic parameters are detected to reach the flood control plan threshold; a semantic analysis unit, used to parse key water conservancy element parameters in the warning text, including but not limited to river warning water level, reservoir flood control instructions, and dike condition information. The call execution module includes: an intelligent retry unit, which initiates a progressive retry mechanism according to a preset time interval when the first call does not receive a valid response, the retry mechanism including call object upgrade rules and call method enhancement rules; and a cross-level jump unit, which automatically skips the current call object level and initiates a call to a higher-level responsible person after a preset number of consecutive call attempts fail to receive a response. The feedback optimization module includes: a response timeliness evaluation unit, used to record the time interval from call initiation to obtaining a valid response, and triggers a strategy adjustment instruction when the preset response time limit is exceeded; and a closed-loop verification unit, used to confirm the identity of the recipient through voice recognition technology and automatically generate an information transmission completion certificate after obtaining a valid response. The routing decision module further includes a composite early warning analysis unit, used to generate a cross-departmental joint response strategy when the meteorological early warning level and water conservancy monitoring parameters meet preset composite early warning conditions. The joint response strategy includes instructions to simultaneously call members of the flood control command center and responsible persons in related administrative regions. The system also includes a water conservancy project impact analysis unit, used to perform spatial overlay analysis of water conservancy facility BIM model data and real-time meteorological early warning data, automatically identify a list of water conservancy facilities that may be affected by rainstorms, and generate targeted emergency response plans for project maintenance personnel.

[0034] Example 2

[0035] refer to Figure 2 The present invention also provides an embodiment of a meteorological and water conservancy early warning linkage call routing method, applied to the aforementioned intelligent hierarchical early warning linkage call routing system for meteorological and water conservancy disasters, comprising: real-time acquisition of meteorological early warning data and water conservancy monitoring data, wherein the meteorological early warning data includes early warning level and meteorological element parameters, and the water conservancy monitoring data includes hydrological parameters and water conservancy project operation status parameters; joint analysis of meteorological early warning data and water conservancy monitoring data according to preset multi-dimensional early warning fusion rules, dynamically generating a hierarchical call routing strategy, wherein the routing strategy at least includes a call target priority sequence and a call method combination; executing multi-mode early warning calls based on the output strategy, wherein the multi-mode early warning calls include voice calls, SMS messages, and audible and visual alarms; real-time monitoring of call response status, and dynamic optimization of subsequent call strategies based on response timeliness and response results.

[0036] Furthermore, the method also includes constructing a meteorological-hydraulic dual-factor early warning matrix, incorporating river warning water level levels, reservoir flood control limit water levels, and geological disaster risk levels issued by the water resources department into the early warning parameter system; establishing a cross-departmental data fusion channel to access hydrological monitoring station data, flood control project operation status data, and flash flood disaster monitoring data in real time; using a meteorological semantic recognition module and a newly added water-rain-engineering semantic analyzer to parse meteorological elements and water resources professional terms to obtain key parameters; determining the early warning level based on the key parameters and the water resources department's flood control plan thresholds using an early warning coupling model based on watershed characteristics; determining the call recipients and call order according to a pre-set water resources-specific response strategy library dynamically bound to the early warning level; using a background communication robot to send real-time disaster monitoring information, forecast and early warning status, risk warnings, and disaster information to the call recipients via sound and light, voice calls, and SMS; receiving response feedback from the call recipients, and completing the information transmission loop when the response feedback meets the preset response conditions.

[0037] In some embodiments, such as a three-tiered cascading call scenario for flash flood disasters, the system first acquires real-time water level data from hydrological monitoring stations deployed along flash flood gullies. This data, combined with radar-derived rainfall products provided by the meteorological department, is used to calculate the current average rainfall across the watershed. When the system detects that the hourly rainfall at a monitoring station exceeds the critical rainfall threshold for flash flood disasters set by the water resources department, it immediately activates the flash flood emergency response mechanism. At this point, the water conservancy project impact analysis unit retrieves the flash flood disaster investigation and evaluation database for the region. This database contains structured data such as historical flash flood inundation areas, hazard zoning results, and contact information for village-level responsible persons.

[0038] Based on a pre-defined rainfall-water level response model, the system simulates the evolution of gully floods under current rainfall conditions. It dynamically adjusts the flash flood risk range by combining geomorphic parameters such as slope and vegetation cover from a digital terrain model. When the prediction results indicate that an administrative village is located within a flash flood risk zone, the spatial topology analysis engine automatically links it to the village's emergency responsibility system, generating a three-tiered contact list including village-level early warning personnel, township-level village officials, and county-level technical experts. The call execution module first sends an encrypted SMS message containing the warning level and a map of the danger zone to the village-level early warning personnel's personal mobile terminal, requiring the recipient to confirm receipt on a government affairs app. If the system does not receive an electronic receipt within a preset time, it automatically triggers a voice call process, broadcasting key emergency response points to the early warning personnel using dialect speech synthesis technology.

[0039] After village-level early warning personnel complete their initial assessment of the emergency and report the situation on-site through the system, the township-level flood control command platform automatically receives the progress report pushed by the system. If the system detects that a village's early warning response time exceeds a preset safety threshold, or if the water level rise rate reported by the automatic water level monitoring station is abnormally high, the response level will be immediately upgraded, and a video call request will be initiated directly to the township flood control command center's duty room. After the video call is connected, the system verifies the recipient's identity using facial recognition technology and simultaneously overlays decision support information such as a 3D situation map of the danger zone and a map showing the distribution of available rescue forces onto the video screen.

[0040] At the county-level command level, the system automatically generates a comprehensive assessment report on flash flood risk for the entire county by analyzing the early warning response status of multiple related villages. When more than 30% of the early warning points experience response delays, the system automatically triggers a cascading call mechanism, directly initiating a priority call to the administrative terminal of the county-level flood control and drought relief command center commander. Throughout the entire handling process, the feedback optimization module continuously collects response timeliness data and effectiveness data of handling measures at each stage, and optimizes the rainfall-disaster correlation parameters in the flash flood early warning model through machine learning algorithms. The system also transforms best practices from successful handling cases into standardized handling procedures. When similar scenarios recur, it automatically adds historical handling experience prompts to the call content, forming a closed-loop mechanism for knowledge accumulation and capability iteration.

[0041] It should be noted that the dynamic routing decision-making process also includes: when critical rainfall for flash floods is detected, a three-tiered progressive calling mechanism is activated, sequentially initiating calls to operational personnel; when a flood control project issues a hazard warning, multiple consultation calls are simultaneously initiated to downstream related areas based on the project topology. A machine learning model is trained based on historical response data to optimize the matching rules between warning levels and calling strategies; the water conservancy project impact analysis parameter database is regularly updated, and the emergency response topology of watershed units is dynamically adjusted in conjunction with revisions to the flood control plan.

[0042] In summary, this invention provides a method and system for intelligent hierarchical early warning and linkage call routing for meteorological and water conservancy disasters. By constructing a deep fusion mechanism and intelligent analysis system for meteorological and water conservancy data, it achieves multiple technological breakthroughs and improved practical effects in the field of disaster emergency response. The system integrates meteorological warning levels, real-time rainfall data, and water conservancy project operation parameters in real time through cross-departmental data interfaces, innovatively establishing a multi-dimensional parameter coupling analysis model, effectively solving the response lag problem caused by data silos in traditional early warning systems. The multi-dimensional early warning fusion model, trained with historical disaster data and dynamically corrected with real-time data streams, can accurately identify the composite risk characteristics of disasters such as rainstorms and flash floods. When a superimposed effect between meteorological warning levels and water conservancy monitoring parameters is detected, a cross-departmental collaborative response mechanism is automatically triggered, significantly improving the spatiotemporal resolution of risk assessment. The spatial topology analysis engine, by analyzing the spatial correlation network of water conservancy facilities and the administrative responsibility system, constructs a three-dimensional response architecture. In scenarios such as river embankment danger and reservoir flood discharge scheduling, it achieves dual optimization of intelligent projection of the impact range and precise location of responsible persons, resulting in a qualitative leap in the accuracy of selecting the target of early warning information transmission. The dynamic routing strategy generation mechanism, through the organic combination of progressive calling, intelligent retries, and cross-level jumps, significantly compresses the response chain while ensuring the reliability of early warning information transmission. In typical scenarios, the closed-loop efficiency from early warning issuance to the completion of calls to multiple responsible persons is significantly improved compared to traditional methods. The closed-loop feedback system continuously optimizes the early warning model parameters and calling strategy rules through machine learning, enabling the system to adapt to extreme weather variability and dynamic changes in the status of water conservancy projects. In recent years, it has effectively shortened the response delay of grassroots responsible persons in disasters such as typhoons and torrential rains, and has successfully prevented the escalation of dangers on multiple occasions. This technical solution reconstructs the emergency response paradigm for meteorological and water conservancy disasters through intelligent means, achieving a systematic breakthrough in improving the timeliness of early warnings, enhancing multi-departmental collaboration capabilities, and optimizing the allocation of emergency resources. It provides a reusable technical infrastructure for building a new intelligent disaster prevention system.

[0043] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural transformations made using the contents of the present invention's specification and drawings under the inventive concept of the present invention, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. A meteorological and water conservancy disaster intelligent hierarchical early warning linkage call routing system, characterized in that, include: The data acquisition module is used to acquire meteorological early warning data and water conservancy monitoring data in real time. The meteorological early warning data includes early warning levels and meteorological element parameters, and the water conservancy monitoring data includes hydrological parameters and water conservancy project operation data. State parameters; The routing decision module is used to jointly analyze meteorological early warning data and water conservancy monitoring data according to preset multi-dimensional early warning fusion rules, and dynamically generate hierarchical call routing strategies. The routing strategy includes at least a priority sequence of call objects and a combination of call methods. The routing decision module also includes a dynamic priority calculation unit and a semantic analysis unit; The dynamic priority calculation unit is used to adjust the call order based on the real-time risk level of the disaster-affected area. When the preset watershed characteristic parameters are detected to reach the flood control plan threshold, the call priority of the person in charge of the corresponding area is automatically increased. The semantic analysis unit is used to parse key water conservancy element parameters in the early warning text. Key water conservancy element parameters include river warning water level data, reservoir flood control instruction data, and dike condition information data. The call execution module is used to execute multi-mode early warning calls based on the strategy output by the routing decision module. The multi-mode early warning calls include voice calls, SMS messages, and audible and visual alarms. The call execution module also includes an intelligent retry unit and a cross-level jump unit; The intelligent retry unit initiates a progressive retry mechanism at preset time intervals when the first call fails to receive a valid response. The retry mechanism includes call object escalation rules and call method enhancement rules. The cross-level redirection unit automatically skips the current call recipient level and initiates a call to a higher-level responsible person after a preset number of unanswered call attempts; The feedback optimization module is used to monitor the call response status in real time and dynamically optimize subsequent call strategies based on response timeliness and answer results. The feedback optimization module includes a response timeliness assessment unit and a closed-loop verification unit; The response timeliness assessment unit is used to record the time interval from call initiation to receiving a valid response. When the preset response time limit is exceeded, a policy adjustment instruction is triggered. The closed-loop verification unit is used to confirm the identity of the recipient through voice recognition technology and automatically generate a message transmission completion certificate after obtaining a valid response. The routing decision module includes a water conservancy project topology analysis unit, which is used to analyze the spatial topology relationship of flood control projects. When a specific water conservancy facility is in an early warning state, it automatically initiates a defense linkage call to the responsible person in the downstream related area.

2. The intelligent hierarchical early warning and linkage call routing system for meteorological and water conservancy disasters according to claim 1, characterized in that, The data acquisition module also includes: The meteorological data interface unit is used to receive early warning level information and actual monitoring data issued by the meteorological department. The water conservancy data interface unit is used to access watershed water level monitoring data, reservoir operation parameters, and flash flood disaster monitoring data from the water conservancy department. The spatial data fusion unit is used to unify the coordinate system of meteorological GIS data and spatial distribution data of water conservancy projects.

3. The intelligent hierarchical early warning and linkage call routing system for meteorological and water conservancy disasters according to claim 1, characterized in that, The routing decision module also includes: The composite early warning analysis unit is used to generate a cross-departmental joint response strategy when the meteorological early warning level and water conservancy monitoring parameters meet the preset composite early warning conditions. The joint response strategy includes instructions to call flood control command member units and relevant administrative region responsible persons in parallel.

4. The intelligent hierarchical early warning and linkage call routing system for meteorological and water conservancy disasters according to claim 1, characterized in that, The system also includes: The water conservancy project impact analysis unit is used to spatially overlay and analyze the BIM model data of water conservancy facilities with real-time meteorological early warning data, automatically identify a list of water conservancy facilities that may be affected by rainstorms, and generate targeted emergency response plans for the responsible persons of the engineering maintenance.

5. A meteorological and water conservancy early warning linkage call routing method based on the system described in any one of claims 1-4, characterized in that, include: Real-time acquisition of meteorological early warning data and water conservancy monitoring data, wherein the meteorological early warning data includes early warning level and meteorological element parameters, and the water conservancy monitoring data includes hydrological parameters and water conservancy project operation status parameters; Based on the preset multi-dimensional early warning fusion rules, meteorological early warning data and water conservancy monitoring data are jointly analyzed to dynamically generate hierarchical call routing strategies. The routing strategies include at least a call target priority sequence and a call method combination. The strategy based on the output executes multi-mode early warning calls, which include voice calls, text messages, and audible and visual alarms; Monitor call response status in real time and dynamically optimize subsequent call strategies based on response timeliness and answer results.

6. The meteorological and water conservancy early warning linkage call routing method according to claim 5, characterized in that, The dynamic routing decision process also includes: When the critical rainfall level for flash floods is detected, a three-level progressive calling mechanism is activated, and calls are sent to the operators in sequence. When a warning of danger is issued for a flood control project, multiple consultation calls are simultaneously sent to related downstream areas based on the project topology.

7. The meteorological and water conservancy early warning linkage call routing method according to claim 6, characterized in that, Also includes: Machine learning models are trained based on historical response data to optimize the matching rules between warning levels and call strategies; The database of water conservancy project impact analysis parameters is updated regularly, and the emergency response topology of watershed units is dynamically adjusted in conjunction with the revision of flood control plans.

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