CN115019477A - Intelligent urban waterlogging disaster real-time prediction early warning system and method - Google Patents
Intelligent urban waterlogging disaster real-time prediction early warning system and method Download PDFInfo
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Abstract
The invention relates to a smart real-time urban waterlogging disaster forecasting and early warning system and a smart real-time urban waterlogging disaster forecasting and early warning method, which belong to the technical field of urban waterlogging forecasting and early warning, wherein vehicle information is collected through an urban waterlogging model system platform, and specifically the vehicle information is H1 information of the distance between an engine air inlet and a flat ground; establishing a database V (h) by collecting the change height h of the water level of the vehicle head when the vehicle runs at a constant speed and wades into the waterlogging area at different vehicle speeds V in multiple experiments; the actual predicted water level height is H = H Real time + delta H + H, comparing and judging the actually predicted water level height H with H1, and when H is less than H 1 When the current time is passed. According to the invention, the information acquisition is carried out by simulating the actually measured vehicle to run at a constant speed at different speeds at the head water level change height h in the waterlogging area to establish a database, so that the maximum limit height h is obtained, and finally the limit speed V for the vehicle to pass by wading can be obtained by matching the database, so that the arrival time of the vehicle can be more accurately predicted, and a basis is provided for high-precision traffic path planning.
Description
Technical Field
The invention belongs to the technical field of urban waterlogging prediction and early warning, and particularly relates to an intelligent urban waterlogging disaster real-time prediction and early warning system and method.
Background
Heavy rainstorm and extreme rainfall events generate huge pressure on a drainage system of a city, and road ponding and waterlogging disasters occur frequently, so that serious inconvenience is brought to people for going out, and even serious loss of lives and properties is caused seriously.
The prior art discloses application number CN201810048869.1 a road collaborative early warning system based on culvert water level safety, and this system is used for unmanned car, and this system includes: the vehicle detection and information acquisition module: the vehicle detection and information acquisition module comprises a geomagnetic vehicle detector, the geomagnetic vehicle detector triggers the water level detection module to detect when detecting that the vehicle passes through, and the geomagnetic vehicle detector acquires the height and width of the vehicle and sends the height and width to the vehicle type acquisition module; a vehicle type obtaining module: matching the vehicle type according to the vehicle information, extracting the distance information between the vehicle exhaust pipe and the ground, wherein the vehicle type acquisition module comprises: vehicle type information database: storing the height and width of the vehicle corresponding to different vehicle types and the distance information between the exhaust pipe and the ground; a vehicle type matching extraction unit: the unit matches the height and width of the vehicle transmitted by the geomagnetic vehicle detector in a vehicle type information database to obtain a specific vehicle type, and extracts the distance information between an exhaust pipe of the vehicle type and the ground; the water level detection module: the ultrasonic water level sensor is used for acquiring real-time water level information; the safety monitoring module: according to the real-time water level information and the distance information between the vehicle exhaust pipe and the ground, whether the current vehicle can pass safely is determined to obtain safe passing decision information, and the safety monitoring module comprises: a safe water level extreme value obtaining unit: the unit acquires safe water level extreme values corresponding to different vehicle types; an ideal safe water level value obtaining unit: the unit acquires ideal safe water level values corresponding to different vehicle types; a decision control unit: the unit compares the real-time water level information, the safety water level extreme value and the ideal safety water level value to obtain decision-making information; the decision information is specifically: if the real-time water level value is greater than or equal to the safety water level extreme value, the real-time water level value is forbidden to pass; if the real-time water level value is less than or equal to the ideal safe water level value, the water level value is safely passed; if the real-time water level value is larger than the ideal safe water level value and smaller than the safe water level extreme value, the real-time water level value carefully and continuously passes through; the safety water level extreme value and the ideal safety water level value are specifically as follows: HS1 is HP multiplied by beta, HS2 is HS1 multiplied by gamma, wherein HS1 is a safe water level extreme value, HS2 is an ideal safe water level value, HP is the distance between a vehicle exhaust pipe and the ground, beta is a safe water level reduction coefficient, and gamma is an ideal safe water level reduction coefficient; vehicle road cooperation module: and transmitting the safe traffic decision information to the vehicle by adopting navigation or a special short-range communication technology, updating in real time, and finishing the cooperative early warning.
The vehicle traffic route planning in the existing waterlogging forecasting and early warning system obtains the safe passing water level by setting the safe water level reduction coefficient, namely, the height of an engine exhaust port from the ground is multiplied by the set safe water level reduction coefficient, firstly, the way judges whether the vehicle can pass through the exhaust port is not strict, the vehicle runs at a low-speed and uniform speed on a wading road section at present, the vehicle can pass through even if the water level exceeds the exhaust port, and meanwhile, the way of taking an engine air inlet as a judgment standard ignores the water wave heights generated by vehicle heads with different speeds in the running process, so that the precision is low and the deviation is large.
Disclosure of Invention
The invention aims to provide a smart real-time urban waterlogging disaster prediction and early warning system and a method, which aim to solve the technical problems of low precision and large deviation caused by the fact that the height of water waves generated by vehicle heads at different speeds in the driving process of a vehicle is ignored in the mode that a safe water level reduction coefficient is set in vehicle traffic route planning in the conventional waterlogging prediction and early warning system, namely the height of an engine air inlet from the ground is multiplied by the set safe water level reduction coefficient to obtain a safe passing water level.
In order to achieve the purpose, the specific technical scheme of the intelligent urban waterlogging disaster real-time forecasting and early warning system and method is as follows:
an intelligent real-time prediction and early warning method for urban waterlogging disasters is specifically characterized in that,
s1, establishing an urban inland inundation model system platform to monitor and predict an inland inundation area in real time, specifically, establishing an urban inland inundation model, establishing a real-time water level acquisition terminal in the urban inland inundation area, simultaneously collecting water displacement of the inland inundation area, finally collecting rainfall and duration of the inland inundation area by combining a meteorological data acquisition unit, and predicting a water level change quantity delta H after a certain time period;
s2, the vehicle sends a request for acquiring real-time inland inundation area information and a path planning request to the urban inland inundation model system platform through the mobile terminal;
s3, the mobile terminal sends the current position information, the destination position information and the driving speed to an urban inland inundation model system platform in real time;
s4, processing the urban inland inundation model system platform after receiving the current position information, the destination position information and the real-time driving speed to form a plurality of driving paths;
s5, judging the trafficability of the multiple driving paths by the urban inland inundation model system platform, and selecting an optimal path;
s51, judging whether an inland inundation point exists on the driving path, predicting and judging whether the water level allows the vehicle to pass after the vehicle is driven to the inland inundation point, if so, determining that the line can pass, and if not, excluding the line;
s511, collecting vehicle information by the urban waterlogging model system platform, namely the distance H between the air inlet of the engine and the flat ground 1 Information;
s512, establishing a database V (h) by collecting the water level change height h of the vehicle head when the vehicle runs at a constant speed and wades in waterlogging areas at different vehicle speeds V in multiple experiments;
s513, actually predicting the water level height to be H = H Real time + Δ H + H, actual predicted water level heights H and H 1 Performing comparison judgment when H is less than H 1 The maximum limit height h can be obtained, and finally the limit speed V of the vehicle passing by wading can be obtained through a matching database;
s52, sequencing the time of the multiple driving paths;
s53, selecting the shortest time route as the optimal route;
and S6, updating the optimal route to the mobile terminal of the vehicle in real time by the urban inland inundation model system platform, and finally realizing the prediction and early warning of vehicle running.
Further, in the step S2, the information acquisition request mode is that the mobile terminal of the vehicle establishes communication with the operator cloud through the communication module, the operator cloud sends the information acquisition request instruction data to the urban inland inundation model system platform, and the urban inland inundation model system platform receives the request information and performs decoding, duplicate removal, screening and checking.
Furthermore, the S52 time sequencing specific mode is that the vehicle driving path is divided into an inland inundation section and a non-inland inundation section, the overall vehicle time consumption is divided into the sum of the inland inundation section driving time and the non-inland inundation section driving time, the non-inland inundation section can be directly obtained through the navigation module, the road length of the inland inundation section is known, the driving speed is the limit speed V, and the inland inundation section driving time can be obtained.
The utility model provides a real-time prediction early warning system of wisdom urban waterlogging calamity, includes:
the urban waterlogging model system platform is used for monitoring and predicting a waterlogging area in real time;
the system comprises a real-time information acquisition terminal, a weather data acquisition unit and a control unit, wherein the real-time information acquisition terminal is established in an urban waterlogging area and used for collecting the drainage of the waterlogging area, and finally, the rainfall and the duration of the waterlogging area are collected by combining the weather data acquisition unit to predict the water level change delta H after a certain time period;
the mobile terminal is used for sending a request for acquiring real-time inland inundation area information and a path planning request to the urban inland inundation model system platform;
the urban waterlogging model system platform is further used for processing after receiving the current position information, the destination position information and the real-time driving speed to form a plurality of driving paths, judging the trafficability of the plurality of driving paths and selecting an optimal path;
the urban waterlogging model system platform is also used for judging whether waterlogging points exist on a driving path or not, predicting and judging whether vehicles are allowed to pass through or not after the driving path reaches the waterlogging points, and if yes, determining that the line can pass through, and if not, excluding the line;
and predicting whether the water level allows the vehicle to pass through the flat ground surface distance H including the distance from the air inlet of the engine of the collecting vehicle after the vehicle is driven to the waterlogging point 1 Information is obtained by collecting the change height H of the water level of the vehicle head when the vehicle runs at a constant speed and wades in waterlogging area for a plurality of times of experiments, a database V (H) is established, and the actually predicted water level height is H = H Real time + Δ H + H, actual predicted water level heights H and H 1 Performing comparison judgment when H is less than H 1 The vehicle is accessible, the h maximum limit height can be obtained, and finally the limit speed V of the vehicle for passing through the wading can be obtained through the matching database;
the method comprises the steps of judging the trafficability of a plurality of driving paths, selecting an optimal path, and selecting the shortest time route as the optimal path, wherein the optimal path is selected by time sequencing of the plurality of driving paths;
the urban inland inundation model system platform is also used for updating the optimal route to a mobile terminal of the vehicle in real time, and finally forecasting and early warning of vehicle running are achieved.
Further, the mobile terminal includes: the mobile communication device comprises a mobile processor, a mobile communication module, a power supply module, a GPS module, a vehicle speed sensor, a display module and a data storage module, wherein the mobile processor is respectively and electrically connected with the display module, the vehicle speed sensor, the power supply module and the GPS module, and the mobile processor is respectively communicated with the mobile communication module and the data storage module.
Further, the real-time information acquisition terminal includes: real-time water level acquisition terminal, displacement detecting element and meteorological data acquisition unit, real-time water level acquisition terminal sets up carries out water level monitoring and establishes the communication through operator high in the clouds and platform communication unit in the regional waterlogging area of urban waterlogging, displacement detecting element sets up carries out real-time supervision and establishes the communication through operator high in the clouds and platform communication unit in the regional drainage system of urban waterlogging in the regional waterlogging displacement, meteorological data acquisition unit and meteorological department meteorological system establish the communication and acquire regional rainfall and rainfall duration of waterlogging.
Further, the urban waterlogging model system platform establishes communication with the mobile terminal and the real-time information acquisition terminal in the vehicle through an operator cloud, and the urban waterlogging model system platform comprises: the model server is communicated with the data processing unit, the platform communication unit and the data storage unit respectively, the data processing unit processes data information received through the platform communication unit and stores the data information into the data storage unit, the data storage unit is used for storing city map elements and space elements, and a physical engine is carried in the model server.
Further, the map elements include: terrain, water, engineering, roads and POIs, the spatial elements include: building monoliths, structures, pipelines, engineering facilities, components and equipment.
Further, the physics engine comprises: collision, rigid body, physical material, motion trajectory, fluid, acceleration, momentum, and impulse.
The invention has the advantages that:
according to the invention, the information acquisition is carried out by simulating the actually measured vehicle to run at a constant speed at different speeds at the head water level change height h in the waterlogging area to establish a database, so that the maximum limit height h is obtained, and finally the limit speed V for the vehicle to pass by wading can be obtained by matching the database, so that the arrival time of the vehicle can be more accurately predicted, and a basis is provided for high-precision traffic path planning.
According to the method, the urban inland inundation model system platform is constructed and weather data is combined to predict the water level of the vehicle which does not reach the inland inundation area, so that the accuracy of traffic path planning is further improved, and the safety is improved.
Drawings
FIG. 1 is an overall flow chart of the present invention;
FIG. 2 is a flow chart of path planning according to the present invention;
FIG. 3 is a flow chart of the present invention for determining vehicle passage;
fig. 4 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows: as shown in fig. 1-3, a smart real-time urban waterlogging disaster prediction and early warning method specifically includes the steps of establishing an urban waterlogging model system platform to perform real-time monitoring and prediction on a waterlogging area, specifically, establishing an urban waterlogging model, establishing a real-time water level acquisition terminal in the urban waterlogging area, simultaneously collecting water displacement of the waterlogging area, finally collecting rainfall and duration of the waterlogging area by combining a meteorological data acquisition unit, and predicting a water level change amount delta H after a certain period of time; the vehicle sends a request for acquiring real-time inland inundation area information and a path planning request to an urban inland inundation model system platform through a mobile terminal; the mobile terminal of the vehicle establishes communication with the operator cloud through the communication module, and the operator cloud acquires the information request instruction dataAnd sending the request information to the urban waterlogging model system platform, and receiving the request information by the urban waterlogging model system platform to perform decoding, duplicate removal, screening and verification. The mobile terminal sends the current position information, the destination position information and the running speed to an urban inland inundation model system platform in real time; after receiving the current position information, the destination position information and the real-time driving speed, the urban inland inundation model system platform processes the current position information, the destination position information and the real-time driving speed to form a plurality of driving paths; judging the trafficability of the multiple driving paths by the urban inland inundation model system platform, and selecting an optimal path; judging whether an waterlogging point exists on a driving path, predicting and judging whether a vehicle is allowed to pass through the water level after the vehicle drives to the waterlogging point, if so, determining that the line can pass through, and if not, excluding the line; the urban inland inundation model system platform collects vehicle information, specifically, the distance H from the air inlet of the engine to the flat ground 1 Information; establishing a database V (h) by collecting the change height h of the water level of the vehicle head when the vehicle runs at a constant speed and wades into waterlogging in multiple experiments at different vehicle speeds V, and measuring that the initial water level is higher than an exhaust port of an automobile engine;
firstly, selecting a vehicle type A: the initial height of the experimental water level is the height from the exhaust pipe of the vehicle to the ground, the uniform speed tests of different vehicle speeds are carried out, and the numerical value of h is recorded; the height of the experimental water level is increased gradually by taking 1cm as an increment, multiple measurements are carried out to form different water level databases of the vehicle type A, and the operation of the vehicle type A is repeated by other vehicle types.
The actual predicted water level height is H = H Real-time + Δ H + H, actual predicted water level heights H and H 1 Performing comparison judgment when H is less than H 1 The vehicle can pass through the waterlogging area, the maximum limit height H can be obtained, the limit speed V of the vehicle passing by wading can be obtained through the matching database, and the delta H when the vehicle reaches the waterlogging area is 0; time sequencing is carried out on a plurality of driving paths; the S52 time sequencing specific mode is that the vehicle driving path is divided into an inland inundation section and a non-inland inundation section, the vehicle overall time consumption is divided into the sum of the inland inundation section driving time and the non-inland inundation section driving time, the non-inland inundation section can be directly obtained through the navigation module, the road length of the inland inundation section is known, and the driving speed is the limit speed V, so that the inland inundation section driving time can be obtained. Selecting the shortest route as the optimal route(ii) a According to the urban inland inundation model system platform, the optimal route is updated to the mobile terminal of the vehicle in real time, and finally prediction and early warning of vehicle driving are achieved.
The second embodiment: with reference to fig. 4, a smart real-time urban waterlogging disaster prediction and early warning system includes:
the urban waterlogging model system platform is used for monitoring and predicting a waterlogging area in real time;
the system comprises a real-time information acquisition terminal, a weather data acquisition unit and a control unit, wherein the real-time information acquisition terminal is established in an urban waterlogging area and used for collecting the drainage of the waterlogging area, and finally, the rainfall and the duration of the waterlogging area are collected by combining the weather data acquisition unit to predict the water level change delta H after a certain time period;
the mobile terminal is used for sending a request for acquiring real-time inland inundation area information and a path planning request to the urban inland inundation model system platform;
the urban waterlogging model system platform is further used for processing after receiving the current position information, the destination position information and the real-time driving speed to form a plurality of driving paths, judging the trafficability of the plurality of driving paths and selecting an optimal path;
the urban waterlogging model system platform is also used for judging whether waterlogging points exist on a driving path or not, predicting and judging whether vehicles are allowed to pass through or not after the driving path reaches the waterlogging points, and if yes, determining that the line can pass through, and if not, excluding the line;
and predicting whether the water level allows the vehicle to pass through the flat ground surface distance H including the distance from the air inlet of the engine of the collecting vehicle after the vehicle is driven to the waterlogging point 1 Information is obtained by collecting the change height H of the water level of the vehicle head when the vehicle runs at a constant speed and wades in waterlogging area for a plurality of times of experiments, and a database V (H) is established, wherein the actually predicted water level height is H=H Real time + Δ H + H, actual predicted water level heights H and H 1 Performing comparison judgment when H is less than H 1 The maximum limit height h can be obtained, and finally the limit speed V of the vehicle passing by wading can be obtained through a matching database;
the method comprises the steps of judging the trafficability of a plurality of driving paths, selecting an optimal path, and selecting the shortest time route as the optimal path, wherein the optimal path is selected by time sequencing of the plurality of driving paths;
the urban inland inundation model system platform is also used for updating the optimal route to a mobile terminal of the vehicle in real time, and finally forecasting and early warning of vehicle running are achieved. The mobile terminal includes: the mobile communication device comprises a mobile processor, a mobile communication module, a power supply module, a GPS module, a vehicle speed sensor, a display module and a data storage module, wherein the mobile processor is respectively and electrically connected with the display module, the vehicle speed sensor, the power supply module and the GPS module, and the mobile processor is respectively communicated with the mobile communication module and the data storage module. The real-time information acquisition terminal includes: real-time water level acquisition terminal, displacement detecting element and meteorological data acquisition unit, real-time water level acquisition terminal sets up carries out water level monitoring and establishes the communication through operator high in the clouds and platform communication unit in the regional waterlogging area of urban waterlogging, displacement detecting element sets up carries out real-time supervision and establishes the communication through operator high in the clouds and platform communication unit in the regional drainage system of urban waterlogging in the regional waterlogging displacement, meteorological data acquisition unit and meteorological department meteorological system establish the communication and acquire regional rainfall and rainfall duration of waterlogging. The urban waterlogging model system platform establishes communication with a mobile terminal and a real-time information acquisition terminal in a vehicle through an operator cloud, and comprises: the model server is communicated with the data processing unit, the platform communication unit and the data storage unit respectively, the data processing unit processes data information received through the platform communication unit and stores the data information into the data storage unit, the data storage unit is used for storing city map elements and space elements, and a physical engine is carried in the model server. The map elements include: terrain, water, engineering, roads and POIs, the spatial elements include: building monoliths, structures, pipelines, engineering facilities, components and equipment. The physics engine includes: the method comprises the steps that a mobile terminal is an independent mobile terminal or a mobile phone App terminal, an urban model is established through an urban inland inundation model system, a simulated inland inundation area model is determined through the terrain in map elements, simulated meteorological data, namely rainfall capacity and rainfall duration, are arranged above the urban model, the meteorological attribute of a path planning section is obtained through communication established between a meteorological data acquisition unit and a meteorological department meteorological system to obtain the rainfall capacity and the rainfall duration of an inland inundation area, the area of the inland inundation area is obtained through the model, the actual water discharge of the inland inundation area is obtained or actually measured in the past year through a pipeline in a space element, finally the water intake of the inland inundation area is calculated through the area of the inland inundation area, and the actual water storage capacity is obtained by considering the actual water discharge of the inland inundation area, and loading the stored data into an inland inundation model to obtain the predicted water level change quantity delta H after a certain time period.
Example three: the utility model provides a high experimental measuring device of locomotive water level variation, includes: waterlogging simulation pond, moving platform, elevating gear, distance sensor, locomotive mounting bracket and level sensor, the inside moving platform that is provided with in waterlogging simulation pond, the last elevating gear of installing perpendicularly of moving platform, the locomotive mounting bracket is installed to the flexible end of elevating gear, install the locomotive casing on the locomotive mounting bracket, install the distance sensor who is used for detecting locomotive apart from waterlogging simulation pond bottom surface on the locomotive casing and be used for detecting the level sensor of locomotive water level variation height, waterlogging simulation pond includes: pond body and water circulating system, water circulating system links to each other with the pond body for adjust the inside water level height of pond body, the locomotive casing is 1: the method comprises the following steps that 1, a vehicle head is restored, a water level sensor is specifically arranged at an air inlet of an engine, and the water level sensor is arranged in a direction vertical to the bottom surface of a water tank body; the waterlogging simulation pool is used for simulating road surfaces and water levels in an waterlogging area, the mobile platform is a linear mobile platform and is used for simulating linear uniform movement of automobiles, the lifting device is used for simulating different heights of the automobiles from the ground, the automobile head mounting frame is used for mounting and fixing an automobile head shell, and the water level sensor is used for detecting water level change height data at the front end of an automobile head. Obtaining a limit water level; and then, changing the water level, and measuring in the above mode to finally obtain the limit speeds of different water levels of different vehicle types. Accurate limit speed can be obtained through the mode, in the prior art, simulation is carried out through building a data model, different influences of the head inclination angles of different vehicles and different influences of the head air inlet grids exist, and accuracy is reduced.
It is to be understood that the present invention has been described with reference to certain embodiments, and that various changes in the features and embodiments, or equivalent substitutions may be made therein by those skilled in the art without departing from the spirit and scope of the invention. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the invention without departing from the essential scope thereof. Therefore, it is intended that the invention not be limited to the particular embodiment disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (9)
1. A real-time prediction and early warning method for waterlogging disasters in smart cities is characterized by comprising the following specific steps,
s1, establishing an urban inland inundation model system platform to monitor and predict an inland inundation area in real time, specifically, establishing an urban inland inundation model, establishing a real-time water level acquisition terminal in the urban inland inundation area, simultaneously collecting water displacement of the inland inundation area, finally collecting rainfall and duration of the inland inundation area by combining a meteorological data acquisition unit, and predicting a water level change quantity delta H after a certain time period;
s2, the vehicle sends a request for acquiring real-time inland inundation area information and a path planning request to the urban inland inundation model system platform through the mobile terminal;
s3, the mobile terminal sends the current position information, the destination position information and the driving speed to an urban inland inundation model system platform in real time;
s4, processing the urban inland inundation model system platform after receiving the current position information, the destination position information and the real-time driving speed to form a plurality of driving paths;
s5, judging the feasibility of the multiple driving paths by the urban inland inundation model system platform, and selecting the optimal path;
s51, judging whether an inland inundation point exists on the driving path, predicting and judging whether the water level allows the vehicle to pass after the vehicle is driven to the inland inundation point, if so, determining that the line can pass, and if not, excluding the line;
s511, collecting vehicle information by the urban waterlogging model system platform, namely the distance H between the air inlet of the engine and the flat ground 1 Information;
s512, establishing a database V (h) by collecting the water level change height h of the vehicle head when the vehicle runs at a constant speed and wades in waterlogging areas at different vehicle speeds V in multiple experiments;
s513, actually predicting the water level height to be H = H Real time + Δ H + H, actual predicted water level heights H and H 1 Performing comparison judgment when H is less than H 1 The maximum limit height h can be obtained, and finally the limit speed V of the vehicle passing by wading can be obtained through a matching database;
s52, sequencing the time of the multiple driving paths;
s53, selecting the shortest time route as the optimal route;
and S6, updating the optimal route to the mobile terminal of the vehicle in real time by the urban inland inundation model system platform, and finally realizing the prediction and early warning of vehicle running.
2. The intelligent real-time urban waterlogging disaster prediction and early warning method according to claim 1, wherein the information acquisition request mode in S2 is that a mobile terminal of the vehicle establishes communication with an operator cloud through a communication module, the operator cloud sends the information acquisition request instruction data to the urban waterlogging model system platform, and the urban waterlogging model system platform receives the request information and performs decoding, deduplication, screening and verification.
3. The intelligent city waterlogging disaster real-time prediction and early warning method as claimed in claim 1, wherein the S52 time sequencing is implemented in such a way that a vehicle driving path is divided into a waterlogging section and a non-waterlogging section, the vehicle is divided into the sum of the driving time of the waterlogging section and the driving time of the non-waterlogging section when the vehicle is integrally used, the non-waterlogging section can be directly obtained through a navigation module, the road length of the waterlogging section is known, and the driving speed is a limit speed V, so that the driving time of the waterlogging section can be obtained.
4. The utility model provides a real-time prediction early warning system of wisdom urban waterlogging calamity which characterized in that includes:
the urban waterlogging model system platform is used for monitoring and predicting a waterlogging area in real time;
the system comprises a real-time information acquisition terminal, a weather data acquisition unit and a control unit, wherein the real-time information acquisition terminal is established in an urban waterlogging area and used for collecting the drainage of the waterlogging area, and finally, the rainfall and the duration of the waterlogging area are collected by combining the weather data acquisition unit to predict the water level change delta H after a certain time period;
the mobile terminal is used for sending a request for acquiring real-time inland inundation area information and a path planning request to the urban inland inundation model system platform;
the urban waterlogging model system platform is further used for processing after receiving the current position information, the destination position information and the real-time driving speed to form a plurality of driving paths, judging the trafficability of the plurality of driving paths and selecting an optimal path;
the urban waterlogging model system platform is also used for judging whether waterlogging points exist on a driving path or not, predicting and judging whether the water level allows vehicles to pass or not after the vehicle drives to the waterlogging points, and if so, determining that the line can pass, and if not, excluding the line;
and predicting whether the water level allows the vehicle to pass through the flat ground surface distance H including the distance from the air inlet of the engine of the collecting vehicle after the vehicle is driven to the waterlogging point 1 Information is obtained by collecting the change height H of the water level of the vehicle head when the vehicle runs at a constant speed and wades in waterlogging area for a plurality of times of experiments, a database V (H) is established, and the actually predicted water level height is H = H Real time + Δ H + H, actual predicted water level heights H and H 1 Performing comparison and judgment when H is less than H 1 The maximum limit height h can be obtained, and finally the limit speed V of the vehicle passing by wading can be obtained through a matching database;
the method comprises the steps of judging the trafficability of a plurality of driving paths, selecting an optimal path, and selecting the shortest time route as the optimal path, wherein the optimal path is selected by time sequencing of the plurality of driving paths;
the urban inland inundation model system platform is also used for updating the optimal route to a mobile terminal of the vehicle in real time, and finally forecasting and early warning of vehicle running are achieved.
5. The system of claim 4, wherein the mobile terminal comprises: the mobile communication device comprises a mobile processor, a mobile communication module, a power supply module, a GPS module, a vehicle speed sensor, a display module and a data storage module, wherein the mobile processor is respectively and electrically connected with the display module, the vehicle speed sensor, the power supply module and the GPS module, and the mobile processor is respectively communicated with the mobile communication module and the data storage module.
6. The intelligent real-time urban waterlogging disaster prediction and early warning system as claimed in claim 5, wherein said real-time information collection terminal comprises: real-time water level acquisition terminal, displacement detecting element and meteorological data acquisition unit, real-time water level acquisition terminal sets up carries out water level monitoring and establishes the communication through operator high in the clouds and platform communication unit in the regional waterlogging area of urban waterlogging, displacement detecting element sets up carries out real-time supervision and establishes the communication through operator high in the clouds and platform communication unit in the regional drainage system of urban waterlogging in the regional waterlogging displacement, meteorological data acquisition unit and meteorological department meteorological system establish the communication and acquire regional rainfall and rainfall duration of waterlogging.
7. The intelligent real-time urban waterlogging disaster prediction and early warning system of claim 4, wherein the urban waterlogging model system platform establishes communication with a mobile terminal and a real-time information acquisition terminal in a vehicle through an operator cloud, and the urban waterlogging model system platform comprises: the model server is communicated with the data processing unit, the platform communication unit and the data storage unit respectively, the data processing unit processes data information received through the platform communication unit and stores the data information into the data storage unit, the data storage unit is used for storing city map elements and space elements, and a physical engine is carried in the model server.
8. The system of claim 7, wherein the map elements comprise: terrain, water, engineering, roads and POIs, the spatial elements include: building monoliths, structures, pipelines, engineering facilities, components and equipment.
9. The system of claim 7, wherein the physics engine comprises: collision, rigid body, physical material, motion trajectory, fluid, acceleration, momentum, and impulse.
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