CN111882830B - Urban waterlogging monitoring, forecasting and early warning method, device and system and storage medium - Google Patents
Urban waterlogging monitoring, forecasting and early warning method, device and system and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device, a system and a storage medium for monitoring, forecasting and early warning of urban waterlogging, wherein the method comprises the following steps: monitoring accumulated water depth data by waterlogging monitoring equipment; the video gateway equipment sends a request for acquiring actually-measured rainfall data to the cloud server and receives the actually-measured rainfall data sent by the cloud server; the video gateway equipment carries out waterlogging simulation edge calculation on the current waterlogging monitoring point according to the actually measured rainfall data and the monitored waterlogging water depth data to obtain the forecast maximum waterlogging depth, judges whether the current waterlogging monitoring point has a waterlogging risk or not and feeds back a waterlogging risk judgment result to the cloud server; and if the waterlogging risk exists, carrying out on-site snapshot, sending an early warning instruction to waterlogging early warning equipment, and displaying alarm information by the waterlogging early warning equipment. According to the invention, the waterlogging simulation calculation is carried out through the video gateway equipment at the front end, so that the real-time performance of waterlogging forecast and early warning is improved, the calculation pressure of the cloud server is reduced, and the requirement on communication bandwidth is lowered.
Description
Technical Field
The invention relates to a method, a device and a system for monitoring, forecasting and early warning of urban waterlogging and a storage medium, belonging to the field of waterlogging monitoring, forecasting and early warning.
Background
Urban waterlogging is caused by heavy rain, has the characteristics of high disaster speed, high hazard and the like, and accumulated water rises from 0 to nearly 1 meter in a low-lying area such as a tunnel and the like even within possibly a few minutes. Therefore, on one hand, the monitoring, forecasting and early warning of waterlogging has very high requirement on timeliness, and on the other hand, the computation of a waterlogging forecasting model also needs to occupy certain resources and time, especially when hundreds of waterlogging points are simultaneously subjected to simulation forecasting computation, the computation pressure borne by a server is very heavy, and the requirement on network bandwidth for transmitting a large amount of data back and forth is also higher.
Disclosure of Invention
In view of the above, the invention provides a method, a device, equipment and a storage medium for monitoring, forecasting and early warning of urban waterlogging, which perform waterlogging simulation calculation through a front-end video gateway device, improve the real-time performance of waterlogging forecasting and early warning, reduce the calculation pressure of a cloud server, and reduce the requirement on communication bandwidth.
The invention aims to provide a city waterlogging monitoring, forecasting and early warning method.
The second purpose of the invention is to provide a device for monitoring, forecasting and early warning urban waterlogging.
The third purpose of the invention is to provide a city waterlogging monitoring, forecasting and early warning system.
It is a fourth object of the present invention to provide a storage medium.
The first purpose of the invention can be achieved by adopting the following technical scheme:
a city waterlogging monitoring, forecasting and early warning method is applied to a video gateway device, and comprises the following steps:
receiving ponding water depth data sent by waterlogging monitoring equipment;
sending a request for acquiring actually-measured rainfall data to a cloud server;
receiving actually measured rainfall data sent by a cloud server;
if the measured rainfall data is larger than 0, carrying out waterlogging simulation edge calculation on the current waterlogging monitoring point according to the measured rainfall data and the monitored waterlogging water depth data to obtain the forecast maximum waterlogging depth;
judging whether the current waterlogging monitoring point has a waterlogging risk or not according to the forecast maximum waterlogging depth, and feeding back a waterlogging risk judgment result to the cloud server;
and if the current waterlogging monitoring point has a waterlogging risk, carrying out site snapshot on the current waterlogging monitoring point, and sending an early warning instruction to waterlogging early warning equipment.
Further, according to actually measured rainfall data and monitored ponding water depth data, carry out waterlogging simulation edge calculation to current waterlogging monitoring point, obtain the biggest ponding degree of depth of forecast, specifically include:
and inputting the actually measured rainfall data and the monitored ponding water depth data into a waterlogging multi-factor model based on data mining for calculation to obtain the forecast maximum ponding depth.
Further, the data mining-based waterlogging multi-factor model is established as follows:
by collecting historical waterlogging event data, setting deduction/increase modes and value threshold values of five factors of evaporation, infiltration, drainage, terrain and river water level in a rainfall process, and utilizing a data mining method to obtain a group of factor values with the highest fitting degree in a reverse-deducing mode, the waterlogging multi-factor model is established.
Further, according to the forecast maximum water accumulation depth, whether the current waterlogging monitoring point has a waterlogging risk or not is judged, and the method specifically comprises the following steps:
if the forecast maximum water accumulation depth is 0-5 cm, no water accumulation risk exists at the current water accumulation monitoring point;
if the forecast maximum water accumulation depth is larger than 5cm, the current waterlogging monitoring point has a waterlogging risk;
when the maximum water accumulation depth is forecasted to be 5-10 cm, the current waterlogging monitoring point is a low risk of waterlogging; when the maximum water accumulation depth is forecasted to be 10-30 cm, the current waterlogging monitoring point is the waterlogging risk; when the maximum waterlogging depth is predicted to be larger than 30cm, the current waterlogging monitoring point is high in risk of waterlogging;
the early warning instruction is sent to waterlogging early warning equipment, specifically includes:
if the current waterlogging monitoring point is the waterlogging low risk, sending a waterlogging low risk early warning instruction to waterlogging early warning equipment;
if the current waterlogging monitoring point is the waterlogging risk, sending a waterlogging risk early warning instruction to waterlogging early warning equipment;
and if the current waterlogging monitoring point is high in waterlogging risk, sending an early warning instruction of the high risk of waterlogging to waterlogging early warning equipment.
The second purpose of the invention can be achieved by adopting the following technical scheme:
the utility model provides an urban waterlogging monitoring, forecasting and early warning device, is applied to video gateway equipment, the device includes:
the accumulated water depth data receiving unit is used for receiving the accumulated water depth data sent by the waterlogging monitoring equipment;
the rainfall measurement data request sending unit is used for sending a request for acquiring rainfall measurement data to the cloud server;
the actual rainfall data receiving unit is used for receiving actual rainfall data sent by the cloud server;
the waterlogging simulation calculation unit is used for carrying out waterlogging simulation edge calculation on the current waterlogging monitoring point according to the actually measured rainfall data and the monitored water depth data if the actually measured rainfall data is larger than 0, so as to obtain the forecast maximum waterlogging depth;
the waterlogging risk judging unit is used for judging whether the waterlogging risk exists at the current waterlogging monitoring point according to the forecast maximum waterlogging depth and feeding back the waterlogging risk judging result to the cloud server;
and the early warning instruction sending unit is used for carrying out site snapshot on the current waterlogging monitoring point and sending an early warning instruction to the waterlogging early warning device if the current waterlogging monitoring point has a waterlogging risk.
The third purpose of the invention can be achieved by adopting the following technical scheme:
the urban waterlogging monitoring, forecasting and early warning system comprises a video gateway device, a waterlogging monitoring device, a waterlogging early warning device and a cloud server, wherein the video gateway device is respectively connected with the waterlogging monitoring device, the waterlogging early warning device and the cloud server, and an ad-hoc network is arranged among the video gateway device, the waterlogging monitoring device and the waterlogging early warning device;
the video gateway equipment is used for executing the urban waterlogging monitoring, forecasting and early warning method;
the waterlogging monitoring equipment is used for acquiring the water depth data of the ponding in real time, and if the water depth of the ponding is greater than 0, the water depth data of the ponding is sent to the video gateway equipment;
the waterlogging early warning device is used for displaying corresponding warning information according to the early warning instruction when receiving the early warning instruction sent by the video gateway device;
the cloud server is used for receiving a request for acquiring actually measured rainfall data sent by the video gateway equipment and sending the actually measured rainfall data to the video gateway equipment; and receiving an inland inundation risk judgment result fed back by the video gateway equipment, updating inland inundation risk information of the inland inundation monitoring and forecasting platform, and pushing the inland inundation risk information to the information issuing platform.
Further, the video gateway device comprises a processor, a camera, a data communication module and an ad hoc network communication module, wherein the camera is connected with the processor, the processor is connected with the cloud server through the data communication module, and is connected with the waterlogging monitoring device and the waterlogging early warning device through the ad hoc network communication module.
Further, waterlogging monitoring facilities includes casing, control panel, built-in antenna, liquid level tablet and power supply battery, and control panel, liquid level tablet and power supply battery all set up in the inside of casing, are equipped with singlechip and wireless transmission module on the control panel, and liquid level tablet, power supply battery and wireless transmission module link to each other with the singlechip respectively.
Further, the waterlogging early warning device comprises an LED display screen, a data transmission module and a power management module, wherein the data transmission module is connected with the LED display screen, and the power management module is used for supplying power for the LED display screen.
The fourth purpose of the invention can be achieved by adopting the following technical scheme:
a storage medium stores a program, and when the program is executed by a processor, the urban waterlogging monitoring, forecasting and early warning method is realized.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention receives the waterlogging water depth data sent by the waterlogging monitoring device through the video gateway device, sends a request for obtaining the actually measured rainfall data to the cloud server, receives the actually measured rainfall data sent by the cloud server, carries out waterlogging simulation edge calculation through the embedded waterlogging model, judges whether the current waterlogging monitoring point has waterlogging risk or not, feeds back the waterlogging risk judgment result to the cloud server, immediately carries out on-site snapshot on the current waterlogging monitoring point when the current waterlogging monitoring point has the waterlogging risk, and is linked with the early warning device to send warning information to warn surrounding pedestrians and vehicles, meanwhile, the cloud server updates the waterlogging risk information of the waterlogging monitoring and forecasting platform and pushes the waterlogging risk information to the information issuing platform, the waterlogging simulation edge calculation is completed through the video gateway device, so that the real-time of the waterlogging forecasting and early warning is improved, the computing pressure of the cloud server is reduced, and the requirement on the communication bandwidth is lowered.
2. The invention adopts the waterlogging multi-factor model based on data mining to calculate, can be suitable for various waterlogging monitoring points, and does not depend on underground pipe network data.
3. The video gateway equipment is provided with the ad hoc network communication module, and is connected with the waterlogging monitoring equipment and the waterlogging early warning equipment through the ad hoc network communication module, namely the video gateway equipment, the waterlogging monitoring equipment and the waterlogging early warning equipment form a network system, the dependence degree of a public network is low, the system reliability under severe weather conditions can be ensured, and the communication cost of the equipment is reduced.
4. The video gateway equipment provided by the invention is provided with the camera, when the waterlogging monitoring point has a waterlogging risk, the waterlogging monitoring point is subjected to on-site snapshot, and the waterlogging condition is reflected more visually due to the fact that the waterlogging risk is generated by the on-site image picture, so that the video gateway equipment is beneficial to a water management department to evaluate and make a decision quickly.
5. The system is flexible in deployment, each device can be replaced independently, the combination mode is flexible, and the system is suitable for various scenes which are easy to cause waterlogging, such as culvert tunnels, overpass bottoms, main roads and the like.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is an architecture diagram of an urban waterlogging monitoring, forecasting and early warning system according to embodiment 1 of the present invention.
Fig. 2 is a block diagram of a video gateway device according to embodiment 1 of the present invention.
Fig. 3 is a block diagram of a waterlogging monitoring device according to embodiment 1 of the present invention.
Fig. 4 is a perspective view of one of the waterlogging monitoring devices according to embodiment 1 of the present invention.
Fig. 5 is a perspective view of another perspective view of the waterlogging monitoring device according to embodiment 1 of the present invention.
Fig. 6 is an exploded view of an angle in the waterlogging monitoring device according to embodiment 1 of the present invention.
Fig. 7 is an exploded view of another perspective of the waterlogging monitoring device according to embodiment 1 of the present invention.
Fig. 8 is a schematic diagram of a liquid level sensing plate in the waterlogging monitoring device according to embodiment 1 of the present invention.
Fig. 9 is a front distribution diagram of a liquid level sensing board in the waterlogging monitoring device according to embodiment 1 of the present invention.
Fig. 10 is a flowchart of a method for monitoring, forecasting and early warning urban waterlogging according to embodiment 1 of the present invention.
Fig. 11 is a block diagram of a structure of the urban waterlogging monitoring, forecasting and early-warning device according to embodiment 2 of the present invention.
101-video gateway equipment, 1011-processor, 1012-camera, 1013-data communication module, 1014-ad hoc network communication module, 102-waterlogging monitoring equipment, 1021-shell, 10211-threaded hole, 10212-installation fixing hole, 10213-antenna hole, 1022-control panel, 10221-single chip microcomputer, 10222-wireless transmission module, 1023-built-in antenna, 1024-liquid level sensing panel, 10241-sensing area, 10242-sensing capacitor conversion circuit, 1025-power supply battery, 1026-backboard, 10261-through hole, 10262-charging hole, 1027-liquid level line, 103-waterlogging early warning equipment, 104-cloud server, 105-mobile terminal; 1101-a ponding water depth data receiving unit, 1102-a measured rainfall data request sending unit, 1103-a measured rainfall data receiving unit, 1104-an inland inundation simulation calculating unit, 1105-an inland inundation risk judging unit and 1106-an early warning instruction sending unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer and more complete, the technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the protection scope of the present invention.
Example 1:
as shown in fig. 1, this embodiment provides an urban waterlogging monitoring, forecasting and early warning system, this system includes video gateway device 101, waterlogging monitoring device 102, waterlogging early warning device 103 and cloud server 104, video gateway device 101 links to each other with waterlogging monitoring device 102, waterlogging early warning device 103, cloud server 104 respectively, and is the ad hoc network between video gateway device 101, waterlogging monitoring device 102 and waterlogging early warning device 103, and the three adopts local communication promptly, and video gateway device 101 is as the network core, still can communicate to the outside.
The video gateway device 101 is a core device of the system, and is responsible for local communication with the waterlogging monitoring device 102 and the waterlogging early warning device 103, communication with the cloud server 104, waterlogging forecast calculation, and image capture or video monitoring of a waterlogging site; the video gateway device 101 is in a normal online mode, when the video gateway device 101 receives the waterlogging water depth data sent by the waterlogging monitoring device 102, an actually-measured rainfall data request is sent to the cloud server 104 immediately, after the actually-measured rainfall data is received, the video gateway device 101 starts edge calculation according to the actually-measured rainfall data and the monitored waterlogging water depth data, the forecast maximum waterlogging depth of the current waterlogging monitoring point is obtained through calculation of an embedded waterlogging model, whether the waterlogging risk exists or not is judged according to the forecast maximum waterlogging depth, the waterlogging risk judgment result is fed back to the cloud server 104, when the waterlogging risk exists, the video gateway device 102 immediately carries out on-site snapshot on the waterlogging point, and meanwhile sends an early warning instruction to the waterlogging early warning device 103.
As shown in fig. 1 and fig. 2, the video gateway device 101 includes a processor 1011, a camera 1012, a data communication module 1013, and an ad hoc network communication module 1014, where the camera 1012 is connected to the processor 1011, the processor 1011 is connected to a cloud server via the data communication module 1013, and is connected to the waterlogging monitoring device 102 and the waterlogging early warning device 103 via the ad hoc network communication module 1014, the processor 1011 may start edge calculation, the embedded waterlogging model calculates a predicted maximum waterlogging depth of a current waterlogging monitoring point, the camera 1012 may perform on-site snapshot, and the snapshot manner may be to start image snapshot or start video monitoring; the processor 1011 is an ARM processor, and the ad hoc network communication module 1014 is an LoRa ad hoc network communication module.
Waterlogging monitoring facilities 102 adopts the integrated structure design, and waterlogging monitoring facilities 102 gathers once per minute, when gathering ponding depth of water and being greater than 0, sends for video gateway equipment through network deployment communication module 1014 immediately, only gathers when the ponding depth of water is 0 and does not report to the electric quantity of saving.
As shown in fig. 1 to 7, the waterlogging monitoring device 102 includes a housing 1021, a control board 1022, a built-in antenna 1023, a liquid level sensing board 1024 and a power supply battery 1025, wherein the control board 1022, the liquid level sensing board 1024 and the power supply battery 1025 are all disposed inside the housing 1021, the control board 1022 is provided with a single chip microcomputer 10221 and a wireless transmission module 10222, and the liquid level sensing board 1024, the power supply battery 1025 and the wireless transmission module 10222 are respectively connected with the single chip microcomputer 10221; wherein the liquid level sensing plate 1024 is attached to the inner surface of the front portion of the housing 1021, the control board 1022 and the power supply battery 1025 are located behind the liquid level sensing plate 1024, and the control board 1022 and the power supply battery 1025 are disposed on top of each other.
To enable covert installation of the waterlogging monitoring device 102, the color of the housing 1021 may be customized to the field environment, such as a cement color; preferably, the shell 1021 is made of an anti-corrosion material, the anti-corrosion material can be tetrafluoroethylene or other anti-corrosion materials, and the anti-corrosion material can be acid-base resistant and can be applied to sewage measurement; furthermore, the front part and the rear part of the shell 1021 are both rectangular structures, and the size of the front part is smaller than that of the rear part, so that the left side surface and the right side surface form a right-angled trapezoid structure, the design weakens the impact of water flow and avoids accumulated water retention; furthermore, a back plate 1026 is arranged at the rear part of the casing 1021, the back plate 1026 is detachably connected with the rear part of the casing 1021, specifically, four through holes 10261 are arranged on the back plate 1026, four screw holes 10211 corresponding to the four through holes 10261 are arranged on the casing 1021, screws pass through the through holes 10261 and then are matched with the screw holes 10211, so that the back plate 1026 is connected with the rear part of the casing 1021, and by detaching the back plate 1026, the devices (the control plate 1022, the liquid level sensing plate 1024 and the power supply battery 1025) inside the casing 1021 can be maintained; preferably, two charging holes 10262 are further formed on the back plate 1026, the charging holes 10262 are covered by screws, the screws penetrate through the charging holes 10262 and then are matched with threaded holes on the control plate 1022, when the equipment is not powered, an external power supply can be accessed to charge the power supply battery 1025 by removing the screws at the charging holes 10262, and the back plate 1026 does not need to be detached.
Further, the housing 1021 is provided with a mounting fixing hole 10212 at a position near the top; preferably, an inclined part is formed between the top part and the front part of the housing 1021, the mounting fixing hole 10212 is arranged on the inclined part, a screw passes through the mounting fixing hole 10212 and then is connected with a stainless steel fixing plate, so that the waterlogging monitoring device 102 can be mounted and fixed at a position where the waterlogging of a road needs to be monitored, the stainless steel fixing plate is a fitting, after the device is mounted, the stainless steel fixing plate and the housing have the same width and height, the appearance of the device is not affected, and the device is convenient to dismount and replace; furthermore, a two-dimensional code can be pasted on the shell 1021, and a user can enter a WeChat public number, an applet program or download an application program through code scanning.
Further, the power supply battery 1025 is used for supplying power to the waterlogging monitoring device 102, and a lithium battery can be adopted, so that an external power supply is not needed due to the integration of the lithium battery.
As shown in fig. 8 to 9, the liquid level sensing plate 1024 can be regarded as an inductive electronic water gauge, ten sensing regions 10241 and ten inductive capacitance conversion circuits 10242 are disposed on the liquid level sensing plate 1024, wherein the sensing region 10241 is disposed on the front surface of the liquid level sensing plate 1024, the inductive capacitance conversion circuit 10242 is disposed on the back surface of the liquid level sensing plate 1024, ten sensing regions 10241 are sequentially and equidistantly disposed from bottom to top, the sensing region 10241 is not exposed as a contact, and the sensing region 10241 does not directly contact the liquid to be measured during measurement, so that isolated measurement can be achieved, the sensing regions 10241 correspond to the inductive capacitance conversion circuits 10242 one by one, that is, one inductive capacitance conversion circuit is disposed in each sensing region 10241, each sensing region 10241 is connected to the corresponding inductive capacitance conversion circuit 10242 through a wire, and the inductive capacitance conversion circuit 10242 is connected to the single chip 10221.
In order to calculate the liquid level height conveniently, the distance between the lowest sensing region 10241 and the outer side of the bottom of the casing 1021 and between the centers of every two adjacent sensing regions 10241 is 1cm, and the height of each sensing region is 1cm, that is, the range of the liquid level sensing plate 1024 of the present embodiment is 10 cm.
Further, each sensing area 10241 on the liquid level sensing board 1024 is a conductive surface, whether or not there is liquid coverage can be distinguished according to the value of the generated sensing capacitance, each sensing capacitance conversion circuit compares the measured capacitance value with a reference threshold value, and outputs a low level (digital 0) when there is water coverage, otherwise outputs a high level (digital 1).
The single-chip microcomputer 10221 is adopted to count the output state of the sensing area 10241, a search strategy from bottom to top is adopted for each sensing area 10241, the sensing area with 0 output indicates that liquid exists, the sensing area with 1 output indicates that no liquid exists, and judgment processing is automatically carried out according to the output state of the sensing area 10241 to obtain the position of the current liquid level line 1027; the discrimination processing is specifically as follows:
(1) each sensing zone 10241 is numbered from bottom to top, e.g. k1，k2，k3，……，k10。
(2) Searching from bottom to top, the state output by sensing region 10241 is read.
(3) If the output states of two adjacent sensing regions 10241 change from 0 to 1 and the output states of all sensing regions 10241 after the sensing region 10241 are all 1, it is determined thatThe current liquid level line is between the two sensing regions 10241, and the lower sensing region 10241 of the two sensing regions 10241 is taken as the sensing region 10241 where the current liquid level line is located, e.g., k1To k is3The output is 0, k4The backward all are 1, then the current liquid level line is at k3To k is4In the first step, k is3As the sensing area where the current liquid level line is located.
(4) If the output state of one or more sensing regions 10241 in the middle is 1, and the output states of all the sensing regions 10241 below the sensing region 10241 and the sensing regions 10241 above the sensing region 10241 are all 0, it indicates that the sensing region 10241 may be damaged, determines that the current liquid level line is above the sensing region 10241, and skips the sensing region 10241 to continue the search.
(5) If the output state of one or more sensing regions 10241 in the middle is 0, and the output states of the sensing regions 10241 below the sensing region 10241 and the sensing regions 10241 above the sensing region 10241 are all 1, it indicates that splashed water, impurities or impurities adhere to the surface of the housing 1021 corresponding to the sensing region 10241, and it is determined that the current liquid level line is below the sensing region 10241.
Further, wireless transmission module 10222 can be wirelessly connected with video gateway device 101 through built-in antenna 1023, thereby realize the communication between singlechip 10221 and video gateway device 101, can transmit the ponding water depth that the monitoring obtained to video gateway device 101 through wireless network, consider the penetrability ability of underwater transmission, generally choose LoRa wireless network for use, still can reliably transmit when the ponding water depth reaches 1 m.
Furthermore, the control panel 1022 is further provided with a bluetooth module 203, the bluetooth module 203 is connected with the singlechip 10221 and controlled by a magnetic switch, the bluetooth module 203 is normally in a closed state, when a magnet is used for approaching, the bluetooth module 203 is triggered to be opened, the bluetooth module 203 is automatically closed after time out, and after the bluetooth module 203 is opened, the mobile terminal 105 of a user can be connected with the singlechip 10221 through the bluetooth module 203 so as to obtain information of the waterlogging monitoring equipment 102 and read the depth of the monitored ponding water; the mobile terminal 105 may be a mobile phone, a tablet computer, or the like.
Waterlogging early warning equipment 103 adopts integrated structural design, the inside LED display screen that has integrateed, data transmission module, power management module etc, data transmission module links to each other with the LED display screen, power management module is used for the power supply of LED display screen, waterlogging early warning equipment 103 is in the dormancy state at ordinary times in order to practice thrift the electric quantity, when receiving the early warning instruction that video gateway equipment 101 sent, waterlogging early warning equipment 103 switches to mode, immediately according to the early warning instruction, show corresponding alarm information through the LED display screen.
The cloud server 104 is provided with an inland inundation monitoring and forecasting platform, the inland inundation monitoring and forecasting platform is inland inundation monitoring and forecasting software, the cloud server 104 can receive a request for acquiring actually-measured rainfall data sent by the video gateway device 101, send the actually-measured rainfall data to the video gateway device 101, receive an inland inundation risk judgment result fed back by the video gateway device 101, update inland inundation risk information of the inland inundation monitoring and forecasting platform, and push the inland inundation risk information to an information issuing platform, and the information issuing platform can be a browser page, a WeChat public number, a short message, a WeChat applet, an APP, a microblog and the like.
As shown in fig. 10, this embodiment further provides a method for monitoring, forecasting and early warning urban waterlogging, which is mainly implemented by the video gateway device, and includes the following steps:
s101, receiving ponding water depth data sent by waterlogging monitoring equipment.
The waterlogging monitoring equipment collects the water depth data of the ponding in real time, if the water depth of the ponding is larger than 0, the step S102 is carried out, and if the water depth of the ponding is 0, the collection is continued.
S102, sending a request for acquiring actually measured rainfall data to a cloud server.
And S103, receiving the actually measured rainfall data sent by the cloud server, and if the actually measured rainfall data is greater than 0, entering the step S104.
And S104, carrying out waterlogging simulation edge calculation on the current waterlogging monitoring point according to the actually measured rainfall data and the waterlogging water depth data to obtain the forecast maximum waterlogging depth.
And calculating by adopting a waterlogging multi-factor model based on data mining, specifically, inputting the actually measured rainfall data and the ponding water depth data into the waterlogging multi-factor model based on data mining for calculation to obtain forecast ponding data, and selecting the forecast maximum ponding depth from the forecast ponding data.
The data mining-based waterlogging multi-factor model is established as follows:
by collecting historical waterlogging event data, setting deduction/increase modes and value threshold values of five factors of evaporation, infiltration, drainage, terrain and river water level in a rainfall process, and utilizing a data mining method to obtain a group of factor values with the highest fitting degree in a reverse-deducing mode, so that a waterlogging multi-factor model is established; the five factors are specifically described as follows:
(1) based on the hydrology principle, evaporation is mainly related to temperature and humidity, and the value range of an evaporation value is roughly determined according to temperature and humidity data at a corresponding moment in the rainfall process. The evaporation deduction mode generates a certain amount of evaporation value at each moment in the rainfall process, so that the corresponding evaporation values are deducted in sequence at each moment in the rainfall process.
(2) The infiltration value mainly depends on the water capacity of a plot in the area near the waterlogging point and the soil saturation at the rainfall occurrence moment, the water capacity can be roughly estimated by utilizing land utilization data, the soil saturation is estimated by early rainfall data, and the threshold value of the infiltration value is finally determined. The infiltration value is subtracted from the beginning of the rainfall process.
(3) The drainage mainly comprises two parts of drainage of a drainage pipe network and ground drainage, the drainage capacity of the drainage pipe network can be estimated by acquiring the pipe diameter data of the drainage pipe network, the ground drainage capacity can be estimated by the gradient and the road property, and the slope and the road property are combined to determine the threshold value of the drainage value. The method for deducting the drainage value is to deduct the corresponding drainage value at each moment value in the later rainfall process after the rainfall meets the infiltration.
(4) The topographic factors mainly consider the convergence of the earth surface and a pipe network in the catchment area, the convergence value considers two factors, one is convergence delay time, the other is convergence quantity, the convergence delay time can be estimated through the area and the gradient of the catchment area, and the convergence quantity can be estimated through the rainfall and production convergence relation. The method for increasing the terrain value is to increase the confluence amount corresponding to different confluence delay time in the rainfall process.
(5) The river water level factor is mainly associated with the drainage factor, and when the river water level is higher than the water outlet of the drainage pipe network, the drainage is reduced to 0.
And S105, judging whether the current waterlogging monitoring point has a waterlogging risk or not according to the maximum waterlogging depth, feeding back a waterlogging risk judgment result to the cloud server, and entering step S106 if the current waterlogging monitoring point has the waterlogging risk.
Wherein, according to the biggest ponding degree of depth, judge whether there is the waterlogging risk at present waterlogging monitoring point, specifically include:
A. and if the maximum water accumulation depth is 0-5 cm, no water accumulation risk exists at the current water accumulation monitoring point.
B. If the maximum water accumulation depth is larger than 5cm, the current waterlogging monitoring point has a waterlogging risk; when the maximum water accumulation depth is 5-10 cm, the current waterlogging monitoring point is a low risk waterlogging; when the maximum water accumulation depth is 10-30 cm, the current waterlogging monitoring point is the waterlogging risk; when the maximum water accumulation depth is larger than 30cm, the current waterlogging monitoring point is high in waterlogging risk.
When receiving the waterlogging risk judgment result fed back by the video gateway equipment, the cloud server updates the waterlogging risk information of the waterlogging monitoring and forecasting platform and pushes the waterlogging risk information to an information issuing platform, wherein the information issuing platform can be a browser page, a WeChat public number, a short message, a WeChat applet, an APP, a microblog and the like; if no waterlogging risk exists, maintaining the waterlogging risk information in an initial non-risk state; if the waterlogging risk exists and is a low waterlogging risk, the waterlogging risk information is in a low waterlogging risk state; if the risk of waterlogging exists and is the risk of waterlogging, the waterlogging risk information is the risk state in waterlogging; and if the waterlogging risk exists and is a high risk of waterlogging, the waterlogging risk information is in a high risk state of waterlogging.
And S106, carrying out site snapshot on the current waterlogging monitoring point, and sending an early warning instruction to waterlogging early warning equipment.
The method for carrying out on-site snapshot on the current waterlogging monitoring point can be to start image snapshot or start video monitoring.
Sending the early warning instruction to waterlogging early warning equipment can send different early warning instructions according to the risk degree, specifically do:
A. and if the current waterlogging monitoring point is the waterlogging low risk, sending a waterlogging low risk early warning instruction to waterlogging early warning equipment, and after receiving the early warning instruction, the waterlogging early warning equipment issues early warning information of the waterlogging low risk.
B. And if the current waterlogging monitoring point is the waterlogging risk, sending an early warning instruction of the waterlogging risk to waterlogging early warning equipment, and after receiving the early warning instruction, the waterlogging early warning equipment issues early warning information of the waterlogging risk.
C. And if the current waterlogging monitoring point is high in waterlogging risk, sending a high-risk early warning instruction to waterlogging early warning equipment, and after receiving the early warning instruction, the waterlogging early warning equipment issues high-risk early warning information.
It should be noted that although the method operations described above are depicted in the drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Rather, the depicted steps may change the order of execution. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
Example 2:
as shown in fig. 11, this embodiment provides an urban waterlogging monitoring, forecasting and early warning device, which is applied to a video gateway device, and includes a waterlogging water depth data receiving unit 1101, an actually measured rainfall data request sending unit 1102, an actually measured rainfall data receiving unit 1103, a waterlogging simulation calculating unit 1104, a waterlogging risk determining unit 1105 and an early warning instruction sending unit 1106, and specific functions of each unit are as follows:
the ponding water depth data receiving unit 1101 is used for receiving the ponding water depth data sent by the waterlogging monitoring equipment.
The actually measured rainfall data request sending unit 1102 is configured to send a request for obtaining actually measured rainfall data to the cloud server.
The actual rainfall measurement data receiving unit 1103 is configured to receive actual rainfall measurement data sent by the cloud server.
And the waterlogging simulation calculation unit 1104 is configured to, if the measured rainfall data is greater than 0, perform waterlogging simulation edge calculation on the current waterlogging monitoring point according to the measured rainfall data and the waterlogging water depth data to obtain the maximum waterlogging depth.
The waterlogging risk judging unit 1105 is used for judging whether the current waterlogging monitoring point has a waterlogging risk or not according to the maximum waterlogging depth, and feeding back the waterlogging risk judgment result to the cloud server.
The early warning instruction sending unit 1106 is configured to, if the current waterlogging monitoring point has a waterlogging risk, perform on-site snapshot on the current waterlogging monitoring point, and send an early warning instruction to the waterlogging early warning device.
It should be noted that the apparatus provided in this embodiment is only illustrated by the division of the above functional units, and in practical applications, the above function allocation may be performed by different functional units according to needs, that is, the internal structure is divided into different functional units to perform all or part of the functions described above.
Example 3:
the present embodiment provides a storage medium, which is a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the computer program implements the following operations:
receiving ponding water depth data sent by waterlogging monitoring equipment;
sending a request for acquiring actually-measured rainfall data to a cloud server;
receiving actually measured rainfall data sent by a cloud server;
if the measured rainfall data is larger than 0, carrying out waterlogging simulation edge calculation on the current waterlogging monitoring point according to the measured rainfall data and the waterlogging water depth data to obtain the maximum waterlogging depth, and feeding back the maximum waterlogging depth to the cloud server;
judging whether the current waterlogging monitoring point has a waterlogging risk or not according to the maximum waterlogging depth;
and if the current waterlogging monitoring point has a waterlogging risk, carrying out site snapshot on the current waterlogging monitoring point, and sending an early warning instruction to waterlogging early warning equipment.
It should be noted that the computer readable storage medium of the present embodiment may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this embodiment, however, a computer readable signal medium may include a propagated data signal with a computer readable program embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable storage medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program embodied on the computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In summary, the invention receives the waterlogging water depth data sent by the waterlogging monitoring device through the video gateway device, sends a request for obtaining the actually measured rainfall data to the cloud server, receives the actually measured rainfall data sent by the cloud server, carries out waterlogging simulation edge calculation through the embedded waterlogging model, judges whether the current waterlogging monitoring point has the waterlogging risk or not, feeds back the judgment result of the waterlogging risk to the cloud server, immediately carries out on-site snapshot on the current waterlogging monitoring point when the current waterlogging monitoring point has the waterlogging risk, and links the early warning device to send warning information to warn surrounding pedestrians and vehicles, meanwhile, the cloud server updates the waterlogging risk information of the waterlogging monitoring and forecasting platform and pushes the waterlogging risk information to the information publishing platform, the waterlogging simulation edge calculation is completed through the video gateway device, thereby improving the real-time performance of the waterlogging forecasting, the computing pressure of the cloud server is reduced, and the requirement on the communication bandwidth is lowered.
The above description is only for the preferred embodiments of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art can substitute or change the technical solution and the inventive concept of the present invention within the scope of the present invention.
Claims (8)
1. A city waterlogging monitoring, forecasting and early warning method is applied to a video gateway device and is characterized by comprising the following steps:
receiving ponding water depth data sent by waterlogging monitoring equipment;
sending a request for acquiring actually-measured rainfall data to a cloud server;
receiving actually measured rainfall data sent by a cloud server;
if the measured rainfall data is larger than 0, carrying out waterlogging simulation edge calculation on the current waterlogging monitoring point according to the measured rainfall data and the monitored waterlogging water depth data to obtain the forecast maximum waterlogging depth;
judging whether the current waterlogging monitoring point has a waterlogging risk or not according to the forecast maximum waterlogging depth, and feeding back a waterlogging risk judgment result to the cloud server;
if the current waterlogging monitoring point has a waterlogging risk, carrying out site snapshot on the current waterlogging monitoring point, and sending an early warning instruction to waterlogging early warning equipment;
according to actually measured rainfall data and monitored ponding water depth data, carrying out waterlogging simulation edge calculation on the current waterlogging monitoring point to obtain the forecast maximum ponding depth, and the method specifically comprises the following steps:
inputting the actually measured rainfall data and the monitored ponding water depth data into a waterlogging multi-factor model based on data mining for calculation to obtain the forecast maximum ponding depth;
the data mining-based waterlogging multi-factor model establishing process comprises the following steps: by collecting historical waterlogging event data, setting deduction/increase modes and value threshold values of five factors of evaporation, infiltration, drainage, terrain and river water level in a rainfall process, and utilizing a data mining method to obtain a group of factor values with the highest fitting degree in a reverse-deducing mode, so that a waterlogging multi-factor model is established;
evaporation factor: based on the hydrology principle, evaporation is related to temperature and humidity, the value range of an evaporation value is determined through temperature and humidity data at the corresponding moment in the rainfall process, a certain amount of evaporation value is generated at each moment in the rainfall process by an evaporation deduction mode, and the corresponding evaporation value is deducted in sequence according to the rainfall at each moment in the rainfall process;
infiltration factor: the infiltration value depends on the water capacity of a plot in the area near the waterlogging point and the soil saturation at the rainfall occurrence moment, the water capacity is roughly estimated by utilizing land utilization data, the soil saturation is estimated by early rainfall data, and the threshold value of the infiltration value is finally determined; the filtration value is deducted from the beginning of the rainfall process;
drainage factor: the drainage is divided into two parts of drainage of a drainage pipe network and ground drainage, the drainage capacity of the drainage pipe network can be estimated by acquiring pipe diameter data of the drainage pipe network, the ground drainage capacity is estimated by gradient and road attribute, and the two parts are combined to determine a threshold value of a drainage value; the method for deducting the drainage value is that after the rainfall meets the infiltration, the corresponding drainage value is deducted from each time value of the later rainfall process;
topographic factor: the convergence value considers convergence delay time and convergence quantity, the convergence delay time is estimated through the area and the gradient of the water converging area, and the convergence quantity is estimated through the rainfall and production convergence relation; the increasing method of the terrain value is to increase the confluence amount corresponding to different confluence delay time in the rainfall process;
river surge water level factor: associated with the drainage factor, when the water level of the river is higher than the water outlet of the drainage pipe network, the drainage is reduced to 0.
2. The urban waterlogging monitoring, forecasting and early-warning method according to claim 1, wherein the step of judging whether the current waterlogging monitoring point has a waterlogging risk or not according to the forecast maximum waterlogging depth specifically comprises the steps of:
if the maximum water accumulation depth is 0-5 cm, no water accumulation risk exists at the current water accumulation monitoring point;
if the maximum water accumulation depth is larger than 5cm, the current waterlogging monitoring point has a waterlogging risk;
when the maximum water accumulation depth is 5-10 cm, the current waterlogging monitoring point is a low risk of waterlogging; when the maximum water accumulation depth is 10-30 cm, the current waterlogging monitoring point is the waterlogging risk; when the maximum water accumulation depth is larger than 30cm, the current waterlogging monitoring point is at high risk of waterlogging;
the early warning instruction is sent to waterlogging early warning equipment, specifically includes:
if the current waterlogging monitoring point is the waterlogging low risk, sending a waterlogging low risk early warning instruction to waterlogging early warning equipment;
if the current waterlogging monitoring point is the waterlogging risk, sending a waterlogging risk early warning instruction to waterlogging early warning equipment;
and if the current waterlogging monitoring point is high in waterlogging risk, sending an early warning instruction of the high risk of waterlogging to waterlogging early warning equipment.
3. The utility model provides an urban waterlogging monitoring, forecasting and early warning device, is applied to video gateway equipment, its characterized in that, the device includes:
the accumulated water depth data receiving unit is used for receiving the accumulated water depth data sent by the waterlogging monitoring equipment;
the rainfall measurement data request sending unit is used for sending a request for acquiring rainfall measurement data to the cloud server;
the actual rainfall data receiving unit is used for receiving actual rainfall data sent by the cloud server;
the waterlogging simulation calculation unit is used for carrying out waterlogging simulation edge calculation on the current waterlogging monitoring point according to the actually measured rainfall data and the monitored water depth data if the actually measured rainfall data is larger than 0, so as to obtain the forecast maximum waterlogging depth;
the waterlogging risk judging unit is used for judging whether the waterlogging risk exists at the current waterlogging monitoring point according to the forecast maximum waterlogging depth and feeding back the waterlogging risk judging result to the cloud server;
the early warning instruction sending unit is used for carrying out site snapshot on the current waterlogging monitoring point and sending an early warning instruction to the waterlogging early warning device if the current waterlogging monitoring point has a waterlogging risk;
according to actually measured rainfall data and monitored ponding water depth data, carrying out waterlogging simulation edge calculation on the current waterlogging monitoring point to obtain the forecast maximum ponding depth, and the method specifically comprises the following steps:
inputting the actually measured rainfall data and the monitored ponding water depth data into a waterlogging multi-factor model based on data mining for calculation to obtain the forecast maximum ponding depth;
the data mining-based waterlogging multi-factor model establishing process comprises the following steps: by collecting historical waterlogging event data, setting deduction/increase modes and value threshold values of five factors of evaporation, infiltration, drainage, terrain and river water level in a rainfall process, and utilizing a data mining method to obtain a group of factor values with the highest fitting degree in a reverse-deducing mode, so that a waterlogging multi-factor model is established;
evaporation factor: based on the hydrology principle, evaporation is related to temperature and humidity, the value range of an evaporation value is determined through temperature and humidity data at the corresponding moment in the rainfall process, a certain amount of evaporation value is generated at each moment in the rainfall process by an evaporation deduction mode, and the corresponding evaporation value is deducted in sequence according to the rainfall at each moment in the rainfall process;
infiltration factor: the infiltration value depends on the water capacity of a plot in the area near the waterlogging point and the soil saturation at the rainfall occurrence moment, the water capacity is roughly estimated by utilizing land utilization data, the soil saturation is estimated by early rainfall data, and the threshold value of the infiltration value is finally determined; the filtration value is deducted from the beginning of the rainfall process;
drainage factor: the drainage is divided into two parts of drainage of a drainage pipe network and ground drainage, the drainage capacity of the drainage pipe network can be estimated by acquiring pipe diameter data of the drainage pipe network, the ground drainage capacity is estimated by gradient and road attribute, and the two parts are combined to determine a threshold value of a drainage value; the method for deducting the drainage value is that after the rainfall meets the infiltration, the corresponding drainage value is deducted from each time value of the later rainfall process;
topographic factor: the convergence value considers convergence delay time and convergence quantity, the convergence delay time is estimated through the area and the gradient of the water converging area, and the convergence quantity is estimated through the rainfall and production convergence relation; the increasing method of the terrain value is to increase the confluence amount corresponding to different confluence delay time in the rainfall process;
river surge water level factor: associated with the drainage factor, when the water level of the river is higher than the water outlet of the drainage pipe network, the drainage is reduced to 0.
4. The urban waterlogging monitoring, forecasting and early warning system is characterized by comprising a video gateway device, a waterlogging monitoring device, a waterlogging early warning device and a cloud server, wherein the video gateway device is respectively connected with the waterlogging monitoring device, the waterlogging early warning device and the cloud server, and an ad-hoc network is arranged among the video gateway device, the waterlogging monitoring device and the waterlogging early warning device;
the video gateway device is used for executing the urban waterlogging monitoring, forecasting and early warning method according to any one of claims 1-2;
the waterlogging monitoring equipment is used for acquiring the water depth data of the ponding in real time, and if the water depth of the ponding is greater than 0, the water depth data of the ponding is sent to the video gateway equipment;
the waterlogging early warning device is used for displaying corresponding warning information according to the early warning instruction when receiving the early warning instruction sent by the video gateway device;
the cloud server is used for receiving a request for acquiring actually measured rainfall data sent by the video gateway equipment and sending the actually measured rainfall data to the video gateway equipment; and receiving an inland inundation risk judgment result fed back by the video gateway equipment, updating inland inundation risk information of the inland inundation monitoring and forecasting platform, and pushing the inland inundation risk information to the information issuing platform.
5. The urban waterlogging monitoring, forecasting and early-warning system according to claim 4, wherein the video gateway device comprises a processor, a camera, a data communication module and an ad hoc network communication module, the camera is connected with the processor, the processor is connected with the cloud server through the data communication module, and is connected with the waterlogging monitoring device and the waterlogging early-warning device through the ad hoc network communication module.
6. The urban waterlogging monitoring, forecasting and early-warning system according to claim 4, characterized in that the waterlogging monitoring equipment comprises a casing, a control panel, a built-in antenna, a liquid level sensing board and a power supply battery, wherein the control panel, the liquid level sensing board and the power supply battery are all arranged inside the casing, a single chip microcomputer and a wireless transmission module are arranged on the control panel, and the liquid level sensing board, the power supply battery and the wireless transmission module are respectively connected with the single chip microcomputer.
7. The urban waterlogging monitoring, forecasting and early-warning system according to claim 4, wherein the waterlogging early-warning device comprises an LED display screen, a data transmission module and a power management module, the data transmission module is connected with the LED display screen, and the power management module is used for supplying power to the LED display screen.
8. A storage medium storing a program, wherein the program, when executed by a processor, implements the urban waterlogging monitoring, forecasting and warning method according to any one of claims 1-2.
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