CN113297760A - Rainfall flood prediction scheduling method and device, electronic equipment and machine-readable storage medium - Google Patents
Rainfall flood prediction scheduling method and device, electronic equipment and machine-readable storage medium Download PDFInfo
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Abstract
The invention provides a rainfall flood prediction scheduling method, a rainfall flood prediction scheduling device, electronic equipment and a machine readable storage medium, and relates to the technical field of rainfall flood scheduling, wherein the method comprises the following steps: acquiring forecast rainfall data before rainfall in an area to be forecasted; determining the rainfall to be discharged based on the predicted rainfall data and a pre-established rainstorm flood management model; the rainfall to be discharged comprises rainfall flowing into the pipe network and/or rivers and lakes; and scheduling pump stations corresponding to the pipe network and/or gates corresponding to the rivers and lakes based on the rainfall to be discharged, the first impoundable quantity of the pipe network and the second impoundable quantity of the rivers and lakes. The invention can schedule the pump station corresponding to the pipe network and/or the gate corresponding to the river and lake in advance, thereby avoiding flood disasters such as flood and the like and improving the safety.
Description
Technical Field
The present invention relates to the technical field of rain flood scheduling, and in particular, to a rain flood prediction scheduling method, device, electronic device, and machine-readable storage medium.
Background
At present, for rainfall flood scheduling, the rainfall is generally observed in real time, and the road surface water accumulation condition is patrolled and examined through going out, and decision scheduling is carried out according to the rainfall and the road surface water accumulation condition. For example, the pump-on time can be determined temporarily by means of video call between the manager and the inspector. However, for the case of heavy rainfall such as heavy rain, etc., flood may occur due to inaccurate observation or delayed decision making, and there is a certain safety risk.
Disclosure of Invention
The invention aims to provide a rainfall flood prediction scheduling method, a rainfall flood prediction scheduling device, electronic equipment and a machine readable storage medium, which can be used for scheduling pump stations corresponding to a pipe network and/or gates corresponding to rivers and lakes in advance, so that flood disasters such as flood and the like are avoided, and the safety is improved.
In a first aspect, the present invention provides a rainfall flood prediction scheduling method, including: acquiring forecast rainfall data before rainfall in an area to be forecasted; determining the rainfall to be discharged based on the predicted rainfall data and a pre-established rainstorm flood management model; the rainfall to be discharged comprises rainfall flowing into the pipe network and/or rivers and lakes; and scheduling pump stations corresponding to the pipe network and/or gates corresponding to the rivers and lakes based on the rainfall to be discharged, the first impoundable quantity of the pipe network and the second impoundable quantity of the rivers and lakes.
In an optional embodiment, the step of obtaining the rainfall prediction data before rainfall in the area to be predicted includes: acquiring actual rainfall data of preset point positions on the periphery of an area to be predicted; the actually measured rainfall data at least comprises rainfall, wind speed and wind direction; acquiring forecast rainfall data of an area to be forecasted, which is determined by a pre-established rainfall forecasting model; the predicted rainfall data includes a predicted rainfall duration and a predicted rainfall amount.
In an alternative embodiment, the step of determining the amount of rainfall to be discharged based on the predicted rainfall data and a pre-established storm flood management model comprises: determining a runoff coefficient of an area to be predicted based on a pre-established rainstorm flood management model; and determining the rainfall to be discharged based on the predicted rainfall data, the runoff coefficient and the area of the region to be predicted.
In an alternative embodiment, the step of determining the amount of rainfall to be discharged based on the predicted rainfall data, the runoff coefficient and the area of the area to be predicted comprises: determining the net rain depth flowing into the pipe network based on the predicted rainfall data and the runoff coefficient; the amount of rainfall to be discharged is determined based on the net rainfall depth and the area of the region to be predicted.
In an optional embodiment, the step of scheduling the pump station corresponding to the pipe network and/or the gate corresponding to the river and the lake based on the rainfall to be discharged, the first impoundable quantity of the pipe network and the second impoundable quantity of the river and the lake comprises: judging whether the rainfall to be discharged is greater than the first water-storable amount of the pipe network; if so, starting a pump station corresponding to the pipe network, and determining the rainfall of the pump station corresponding to the pipe network; judging whether the rainfall discharged by the pump station is greater than the second impoundable water quantity of rivers and lakes; if so, opening the gate corresponding to the river and the lake in advance so as to enable the water storage capacity of the river and the lake to be larger than or equal to the water discharge capacity of the pump station.
In an alternative embodiment, the method further comprises: if the rainfall to be discharged is larger than the first impoundable water volume of the pipe network, determining that the rainfall type of the area to be predicted is pump-starting type rainfall; and determining the pump starting time, and starting a pump station corresponding to the pipe network before the pump starting time or the pump starting time.
In an alternative embodiment, the method further comprises: acquiring a river and lake reservoir capacity curve based on a pre-established rainstorm flood management model; the river and lake reservoir capacity curve is used for representing the relation between the river and lake water storage capacity and the river and lake liquid level; and determining the second water storage capacity of the river and the lake based on the monitored current liquid level of the river and the lake and the river and lake reservoir capacity curve.
In a second aspect, the present invention provides a rainfall flood prediction scheduling device, including: the data acquisition module is used for acquiring forecast rainfall data of the area to be forecasted before rainfall; the determining module is used for determining the rainfall to be discharged based on the predicted rainfall data and a pre-established rainstorm flood management model; the rainfall to be discharged comprises rainfall flowing into the pipe network and/or rivers and lakes; and the scheduling module is used for scheduling the pump station corresponding to the pipe network and/or the gate corresponding to the river and lake based on the rainfall to be discharged, the first water storage amount of the pipe network and the second water storage amount of the river and lake.
In a third aspect, the present invention provides an electronic device, including a processor and a memory, where the memory stores machine executable instructions capable of being executed by the processor, and the processor executes the machine executable instructions to implement the rainfall flood prediction scheduling method according to any one of the foregoing embodiments.
In a fourth aspect, the present invention provides a machine-readable storage medium having stored thereon machine-executable instructions which, when invoked and executed by a processor, cause the processor to implement the rain flood prediction scheduling method of any one of the preceding embodiments.
The rainfall flood prediction scheduling method comprises the steps of firstly obtaining predicted rainfall data before rainfall in an area to be predicted, then determining rainfall to be discharged based on the predicted rainfall data and a pre-established rainstorm flood management model, wherein the rainfall to be discharged comprises rainfall flowing into a pipe network and/or rivers and lakes, and finally scheduling pump stations corresponding to the pipe network and/or gates corresponding to the rivers and lakes based on the rainfall to be discharged, a first water-storing capacity of the pipe network and a second water-storing capacity of the rivers and lakes. According to the method, the rainfall can be predicted before the rainfall occurs in the area to be predicted, such as heavy rain, rainstorm and the like, the rainfall to be discharged, the first impound amount of the pipe network and the second impound amount of the rivers and lakes are determined to be compared through the predicted rainfall data and a pre-established rainstorm flood management model, and the pump stations corresponding to the pipe network and/or the gates corresponding to the rivers and lakes are scheduled in a targeted mode. Due to the fact that corresponding scheduling is carried out before rainfall occurs, when rainfall actually occurs, particularly heavy rain or heavy rain, pump stations corresponding to the pipe network and/or gates corresponding to rivers and lakes can be scheduled in advance, flood disasters such as flood are avoided, and safety is improved.
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, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flowchart of a rainfall flood prediction scheduling method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a specific pre-established storm flood management model provided in accordance with an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a rainfall flood prediction scheduling device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the 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.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it should be noted that the terms "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings or orientations or positional relationships that are conventionally placed when the products of the present invention are used, and are used only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the devices or elements to be referred to must have specific orientations, be constructed in specific orientations, and operate, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
Furthermore, the terms "horizontal", "vertical", "overhang" and the like do not imply that the components are required to be absolutely horizontal or overhang, but may be slightly inclined. For example, "horizontal" merely means that the direction is more horizontal than "vertical" and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
Some embodiments of the invention are described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
For convenience of understanding, first, a rainfall flood prediction scheduling method provided by an embodiment of the present invention is described in detail, referring to a flow chart of the rainfall flood prediction scheduling method shown in fig. 1, where the method mainly includes the following steps S102 to S106:
step S102, acquiring rainfall forecasting data before rainfall in the area to be forecasted.
Considering that weather forecast is area-level weather information, the information has inaccuracy for weather in a small area. Different weather conditions may exist in different small areas within the zone, as is the case for heavy rain, heavy rain. Therefore, the area to be predicted in the present embodiment may be a small range area within the area level, such as an area of about 10 square kilometers, and the specific area may also be selected according to the actual situation. The predicted rainfall data is rainfall prediction data for the area to be predicted, such as the start time, duration, rainfall amount, etc. of rainfall. The prediction of rainfall data is determined by a pre-trained model, described in detail in the detailed description below.
And step S104, determining the rainfall to be discharged based on the predicted rainfall data and a pre-established rainstorm flood management model.
In specific implementation, the pre-established rainstorm flood management model may be selected from a storm flood management model (SWMM), and the pre-established rainstorm flood management model is obtained by training the model. The model can be used for inquiring and predicting rainfall related information. It can be understood that when the rainfall is large, the rainwater on the ground needs to be discharged through the pipe network, the water-storing capacity of the rain drainage pipe network is limited, and when the water-storing capacity of the rain drainage pipe network is smaller than that of actual discharge, the rainwater can be further discharged into rivers and lakes in order to ensure that flood disasters such as flood disasters caused by untimely rain drainage can be avoided. Thus, the above-mentioned rainfall to be discharged includes rainfall flowing into the pipe network and/or rivers and lakes.
And S106, scheduling pump stations corresponding to the pipe network and/or gates corresponding to the rivers and the lakes based on the rainfall to be discharged, the first impoundable quantity of the pipe network and the second impoundable quantity of the rivers and the lakes.
In practical application, the pipe network may have a certain amount of water stored therein, so that the first amount of water storable in the pipe network is obtained by subtracting the current amount of water stored in the pipe network from the total amount of water stored in the pipe network, and if the amount of rainfall to be discharged is greater than the first amount of water storable in the pipe network, the amount of rainfall to be discharged needs to be further discharged into rivers and lakes. Therefore, the second water storage capacity of the rivers and the lakes can be further determined, and if the second water storage capacity cannot accommodate the minimum water discharge amount discharged by the pump station corresponding to the pipe network, the gate corresponding to the rivers and the lakes needs to be opened in advance so that rainwater can be smoothly discharged, and the phenomena of flood, flood and the like caused by a large amount of water accumulation on the road surface can be avoided.
According to the rainfall flood prediction scheduling method provided by the embodiment of the invention, the rainfall can be predicted before the actual occurrence of the conditions such as heavy rain, rainstorm and the like by acquiring the predicted rainfall data before the rainfall of the area to be predicted, the rainfall to be discharged, the first impoundable capacity of the pipe network and the second impoundable capacity of the rivers and lakes are determined to be compared through the predicted rainfall data and the pre-established rainstorm flood management model, and the pump stations corresponding to the pipe network and/or the gates corresponding to the rivers and lakes are scheduled in a targeted manner. Due to the fact that corresponding scheduling is carried out before rainfall occurs, when rainfall actually occurs, particularly heavy rain or heavy rain, pump stations corresponding to the pipe network and/or gates corresponding to rivers and lakes can be scheduled in advance, flood disasters such as flood are avoided, and safety is improved.
The rainfall information obtained according to the weather forecast at present has a wide range and low forecast precision, so that the accurate forecast of the rainfall in a small area cannot be realized. Therefore, the embodiment first obtains the predicted rainfall data before rainfall for the area to be predicted, and the area to be predicted refers to the description of step S102, where the obtained predicted rainfall data is described in detail. In one embodiment, measured rainfall data of preset point locations around the area to be predicted may be obtained, and then rainfall prediction data of the area to be predicted determined by a rainfall prediction model established in advance may be obtained. The preset point positions around the area to be predicted can include eight directions (east, southeast, south, southwest, west, northwest, north and northeast) around the area to be predicted, and the measured rainfall data at least includes rainfall, wind speed and wind direction, such as rainfall, wind power and wind speed data collected in real time by the wind speed sensing equipment which can be set at the preset point positions of 5-10 km. The pre-established rainfall prediction model can be image acquisition equipment (such as a camera) trained through an algorithm, when the rainfall prediction model is specifically implemented, the camera can perform self-training learning through picture identification, photographed pictures uploaded by monitoring point locations arranged in all directions are compared with rainfall conditions of a research area, data (including image data and digital signals) of the point locations in all directions are formed to be in one-to-one correspondence with the rainfall conditions of the research area, and the camera self-learning is performed for one to two years, so that a camera data learning library is completed. Therefore, when rainfall data of the current area to be predicted needs to be predicted, the camera can predict the rainfall data according to the currently acquired image and rainfall, wind power and wind speed data acquired by peripheral point locations. The acquired predicted rainfall data may include a predicted rainfall duration and a predicted rainfall amount, and further, may further include a rainfall starting time. By adopting the method, rainfall prediction is carried out on the area to be predicted (also can be a research area), and compared with the graphs which need stronger speciality such as radar reflection graphs and cloud graphs, the rainfall prediction method is more intuitive and has higher readability.
When determining the rainfall to be discharged based on the predicted rainfall data and the pre-established rainstorm flood management model, the method can comprise the following steps 1 and 2:
step 1, determining a runoff coefficient of an area to be predicted based on a pre-established rainstorm flood management model. Through a pre-established rainstorm flood management model, the land property of a research area and a predicted rainfall process line are input, and the runoff coefficient of a water collection area of a pump station can be output, so that the rainfall amount of the rainfall flowing into a rainwater pipe network is obtained. The rainstorm flood management model may include information such as pipe network distribution, rainfall indication, river and lake distribution, and as shown in fig. 2, a grid formed by lines in the graph is pipe network distribution, a small mark in the upper right corner in the graph is rainfall indication, and a continuous line formed by triangles in the lower left corner in the graph is river and lake distribution.
The land property can comprise agricultural land, industrial land, unused land and the like, the predicted rainfall process line is used for representing the state of rainfall change along with time, and the runoff coefficient is the ratio of the runoff depth R in any period to the rainfall depth P in the same period.
And 2, determining the rainfall to be discharged based on the predicted rainfall data, the runoff coefficient and the area of the region to be predicted. When the method is implemented, the following steps 2.1 and 2.2 can be included:
and 2.1, determining the net rain depth flowing into the pipe network based on the predicted rainfall data and the runoff coefficient. For ease of understanding, this is illustrated by way of specific examples. When the rainfall time is determined to be 6 hours and the rainfall is determined to be 100mm in the obtained forecast rainfall data, the rainfall can be determined to be rainstorm or heavy rainstorm, and at the moment, the corresponding pump station or river and lake gate needs to be scheduled in advance. If the obtained area to be predicted is an industrial area, the runoff coefficient of the area is 0.85 through calculation by a rainstorm flood management model, and the clear rain depth is determined to be 0.85 × 100mm to 85 mm.
Step 2.2, based on the net depth of rain and the prediction to be madeThe area of the zone determines the amount of rainfall to be discharged. In an embodiment, the area of the industrial land obtained as described above is 10 square kilometers, when the rainfall is urgent, the rainwater may not flow into the rainwater pipe network in time due to the internal resistance of the rainwater pipe network, and at this time, accumulated water may be formed on the road surface, so that drainage needs to be performed through the pipe network, and the rainfall to be discharged in the area is 85mm, 10 square kilometers, 850000m, and the amount of the rainfall to be discharged is 85mm3。
Further, based on the rainfall to be discharged, the first water-storing amount of the pipe network and the second water-storing amount of the rivers and the lakes, when the pump stations corresponding to the pipe network and/or the gates corresponding to the rivers and the lakes are scheduled, whether the rainfall to be discharged is larger than the first water-storing amount of the pipe network or not can be judged, if so, the pump stations corresponding to the pipe network are started, the pump station rainfall capacity of the pump stations corresponding to the pipe network is determined, whether the pump station rainfall capacity is larger than the second water-storing amount of the rivers and the lakes is further judged, and if so, the gates corresponding to the rivers and the lakes are opened in advance, so that the water-storing amount of the rivers and the lakes is larger than or equal to the pump station drainage capacity.
During specific implementation, the rainfall types can be classified according to the rainfall capacity and the current water storage capacity of the pipe network, and the classification can be divided into non-pump-starting type rainfall and pump-starting type rainfall. And if the rainfall to be discharged is greater than the first impoundable water amount of the pipe network, determining that the rainfall type of the area to be predicted is pump starting type rainfall, determining pump starting time, and starting a pump station corresponding to the pipe network before the pump starting time or the pump starting time. Otherwise, the pump is not started for rainfall. The pump type rainfall is not started, namely the total amount of rainfall flowing into the pipe network is less than the current water storage amount of the pipe network, and a pump station does not need to be started.
Furthermore, when the rainfall type is pump-not-started rainfall, the pump can be delayed to be started or not according to the water quality data collected by the online water quality monitor of the river or lake, and if the water quality is detected to be poor and the water quality and the water quantity of the drainage water of the pump station cannot be borne, the water in the pipe network can be discharged to a sewage treatment plant for treatment; if the water quality data is better, when partial pipe network water can be loaded to be discharged, the water can be discharged in batches in time. When the rainfall type is the rainfall of a starting pump type, in order to avoid urban inland inundation, the pump starting time is determined in advance, and the pump is started at the determined pump starting time at the latest.
If the rainfall type is determined to be pump-starting type rainfall, the second impoundable water quantity of the rivers and the lakes can be further determined so as to schedule river and lake gates corresponding to the rivers and the lakes. In specific implementation, a river and lake reservoir capacity curve can be obtained based on a pre-established storm flood management model, and then the second water storage capacity of the river and the lake can be determined based on the monitored current liquid level of the river and the lake reservoir capacity curve. The river and lake reservoir capacity curve is used for representing the relation between the river and lake water storage capacity and the river and lake liquid level, and river and lake topography data can be input into a pre-established rainstorm flood management model to obtain the total river and lake water storage capacity and the river and lake reservoir capacity curve. And then, the current liquid level of the river and the lake is monitored in real time through a liquid level sensor, and the curve of the reservoir capacity of the river and the lake is determined by the model, so that the existing water quantity of the pipe network under the current liquid level and the total quantity of the current water which can be stored in the river and the lake can be obtained. The opening and closing of the river and lake sluice dams can be further realized according to the total water discharge of the pump station and the current water storage capacity of the river and lake, and when the total water discharge of the pump station is larger than the water storage capacity of the river and lake, the sluice opening and water prevention can be carried out in advance, so that the water storage capacity of the river and lake is larger than or equal to the water discharge capacity of the pump station; when the total water discharge of the pump station is less than or equal to the water storage capacity of rivers and lakes, the gate can not be opened.
For example, in the above example, if the total water storage capacity of the pipe network is 300000 cubic meters, the current water storage capacity is 100000 cubic meters, and the rainfall to be discharged is 850000m3>The current impoundable water volume is 100000m3Then, it is a pump-start type rainfall. If the runoff is 100000m generated by the first 5min rainfall in the rainfall process line3And the latest pump opening time is 5min after the rainfall event occurs. If the total water storage capacity of rivers and lakes discharged by the pump station is 3000000m3And when the current water level is 2.2m, the current water storage capacity of rivers and lakes can be determined to be 700000m according to the curve of the reservoir capacity of the rivers and lakes3Due to 700000<(850000-100000), if the water storage capacity of the river and the lake is less than the minimum water discharge capacity of the pump station, the water level is lowered to the level which enables the water storage capacity of the river and the lake to be equal to the minimum water discharge capacity of the pump station by opening the gate of the river and the lake in advance.
In addition, if it is determined that the pump-starting type rainfall is started and the rainfall is urgent, the surface water may be generated, so that the multiple pump stations can be scheduled according to the real-time condition of the surface water when the rainfall is urgent, so as to increase the number of the pump starting and effectively drain the water.
For the rain flood prediction scheduling method, the invention also provides a rain flood prediction scheduling device, as shown in fig. 3, the device mainly includes the following parts:
the data acquisition module 302 is used for acquiring rainfall prediction data of an area to be predicted before rainfall;
a determining module 304, configured to determine a rainfall to be discharged based on the predicted rainfall data and a pre-established rainstorm flood management model; the rainfall to be discharged comprises rainfall flowing into the pipe network and/or rivers and lakes;
and the scheduling module 306 is used for scheduling the pump station corresponding to the pipe network and/or the gate corresponding to the river or lake based on the rainfall to be discharged, the first water storage amount of the pipe network and the second water storage amount of the river or lake.
The rainfall flood prediction scheduling device provided by the embodiment of the invention can predict rainfall before actual occurrence of conditions such as heavy rain, rainstorm and the like by acquiring the predicted rainfall data before rainfall in the area to be predicted, determines the rainfall to be discharged, compares the first impoundable capacity of the pipe network with the second impoundable capacity of rivers and lakes by the predicted rainfall data and a pre-established rainstorm flood management model, and schedules pump stations corresponding to the pipe network and/or gates corresponding to the rivers and lakes in a targeted manner. Due to the fact that corresponding scheduling is carried out before rainfall occurs, when rainfall actually occurs, particularly heavy rain or heavy rain, pump stations corresponding to the pipe network and/or gates corresponding to rivers and lakes can be scheduled in advance, flood disasters such as flood are avoided, and safety is improved.
In an embodiment, the data obtaining module 302 is further configured to obtain measured rainfall data of preset point locations around the area to be predicted; the actually measured rainfall data at least comprises rainfall, wind speed and wind direction; acquiring forecast rainfall data of an area to be forecasted, which is determined by a pre-established rainfall forecasting model; the predicted rainfall data includes a predicted rainfall duration and a predicted rainfall amount.
In an embodiment, the determining module 304 is further configured to determine a runoff coefficient of the area to be predicted based on a pre-established rainstorm flood management model; and determining the rainfall to be discharged based on the predicted rainfall data, the runoff coefficient and the area of the region to be predicted.
In one embodiment, the determining module 304 is further configured to determine a net rain depth flowing into the pipe network based on the predicted rainfall data and the runoff coefficient; the amount of rainfall to be discharged is determined based on the net rainfall depth and the area of the region to be predicted.
In an embodiment, the scheduling module 306 is further configured to determine whether the rainfall to be discharged is greater than the first impoundable water amount of the pipe network; if so, starting a pump station corresponding to the pipe network, and determining the rainfall of the pump station corresponding to the pipe network; judging whether the rainfall discharged by the pump station is greater than the second impoundable water quantity of rivers and lakes; if so, opening the gate corresponding to the river and the lake in advance so as to enable the water storage capacity of the river and the lake to be larger than or equal to the water discharge capacity of the pump station.
In one embodiment, the device further comprises a pump-on time determining module, configured to determine that the rainfall type of the area to be predicted is pump-on rainfall if the rainfall to be discharged is greater than the first impoundable water amount of the pipe network; and determining the pump starting time, and starting a pump station corresponding to the pipe network before the pump starting time or the pump starting time.
In one embodiment, the device further comprises a water storage capacity determining module, which is used for acquiring a river and lake reservoir capacity curve based on a pre-established storm flood management model; the river and lake reservoir capacity curve is used for representing the relation between the river and lake water storage capacity and the river and lake liquid level; and determining the second water storage capacity of the river and the lake based on the monitored current liquid level of the river and the lake and the river and lake reservoir capacity curve.
The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the method embodiments without reference to the device embodiments.
The embodiment of the invention provides electronic equipment, which particularly comprises a processor and a storage device; the storage means has stored thereon a computer program which, when executed by the processor, performs the method of any of the above described embodiments.
Fig. 4 is a schematic structural diagram of an electronic device 100 according to an embodiment of the present invention, where the electronic device 100 includes: a processor 40, a memory 41, a bus 42 and a communication interface 43, wherein the processor 40, the communication interface 43 and the memory 41 are connected through the bus 42; the processor 40 is arranged to execute executable modules, such as computer programs, stored in the memory 41.
The memory 41 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 43 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, etc. may be used.
The bus 42 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.
The memory 41 is used for storing a program, the processor 40 executes the program after receiving an execution instruction, and the method executed by the apparatus defined by the flow process disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 40, or implemented by the processor 40.
The processor 40 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 40. The Processor 40 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory 41, and the processor 40 reads the information in the memory 41 and completes the steps of the method in combination with the hardware thereof.
The rainfall flood prediction scheduling method, device, electronic device, and computer program product of a machine-readable storage medium provided in the embodiments of the present invention include a computer-readable storage medium storing a nonvolatile program code executable by a processor, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by the processor, the method described in the foregoing method embodiments is executed.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the system described above may refer to the corresponding process in the foregoing embodiments, and is not described herein again.
The computer program product of the readable storage medium provided in the embodiment of the present invention includes a computer readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the method embodiment, which is not described herein again.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A rainfall flood prediction scheduling method, characterized in that the method comprises:
acquiring forecast rainfall data before rainfall in an area to be forecasted;
determining the rainfall to be discharged based on the predicted rainfall data and a pre-established rainstorm flood management model; the rainfall to be discharged comprises rainfall flowing into a pipe network and/or rivers and lakes;
and scheduling the pump station corresponding to the pipe network and/or the gate corresponding to the river or lake based on the rainfall to be discharged, the first impoundable quantity of the pipe network and the second impoundable quantity of the river or lake.
2. The rainfall flood prediction scheduling method according to claim 1, wherein the step of obtaining the predicted rainfall data before rainfall in the area to be predicted comprises:
acquiring actual measurement rainfall data of preset point positions on the periphery of the area to be predicted; the actually measured rainfall data at least comprises rainfall, wind speed and wind direction;
acquiring the predicted rainfall data of the area to be predicted, which is determined by a pre-established rainfall prediction model; the predicted rainfall data includes a predicted rainfall duration and a predicted rainfall.
3. The rainfall flood prediction and scheduling method of claim 1, wherein the step of determining the amount of rainfall to be discharged based on the predicted rainfall data and a pre-established stormwater flood management model comprises:
determining a runoff coefficient of the area to be predicted based on the pre-established rainstorm flood management model;
and determining the rainfall to be discharged based on the predicted rainfall data, the runoff coefficient and the area of the area to be predicted.
4. The rainfall flood prediction and scheduling method according to claim 3, wherein the step of determining the rainfall to be discharged based on the predicted rainfall data, the runoff coefficient and the area of the area to be predicted comprises:
determining net rain depth flowing into the pipe network based on the predicted rainfall data and the runoff coefficient;
determining the rainfall to be discharged based on the net rainfall depth and the area of the region to be predicted.
5. The rainfall flood prediction scheduling method according to claim 1, wherein the step of scheduling the pumping station corresponding to the pipe network and/or the gate corresponding to the river and lake based on the rainfall to be discharged, the first impoundable quantity of the pipe network and the second impoundable quantity of the river and lake comprises:
judging whether the rainfall to be discharged is greater than the first water storage capacity of the pipe network;
if so, starting the pump station corresponding to the pipe network, and determining the rainfall of the pump station corresponding to the pipe network;
judging whether the rainfall capacity of the pump station is greater than the second impoundable water capacity of the rivers and the lakes or not;
if so, opening a gate corresponding to the river and the lake in advance so as to enable the water storage capacity of the river and the lake to be larger than or equal to the water discharge capacity of the pump station.
6. The rainfall flood prediction scheduling method of claim 5, wherein the method further comprises:
if the rainfall to be discharged is larger than the first impoundable water amount of the pipe network, determining that the rainfall type of the area to be predicted is pump-starting type rainfall;
and determining the pump starting time, and starting a pump station corresponding to the pipe network at or before the pump starting time.
7. The rainfall flood prediction scheduling method of claim 1, wherein the method further comprises:
acquiring a river lake reservoir capacity curve based on the pre-established rainstorm flood management model; the river and lake reservoir capacity curve is used for representing the relation between the river and lake water storage capacity and the river and lake liquid level;
and determining the second water storage capacity of the river and the lake based on the monitored current liquid level of the river and the lake and the river and lake reservoir capacity curve.
8. A rainfall flood prediction scheduling device, the device comprising:
the data acquisition module is used for acquiring forecast rainfall data of the area to be forecasted before rainfall;
the determining module is used for determining the rainfall to be discharged based on the predicted rainfall data and a pre-established rainstorm flood management model; the rainfall to be discharged comprises rainfall flowing into a pipe network and/or rivers and lakes;
and the scheduling module is used for scheduling the pump station corresponding to the pipe network and/or the gate corresponding to the river and lake based on the rainfall to be discharged, the first water storage amount of the pipe network and the second water storage amount of the river and lake.
9. An electronic device comprising a processor and a memory, the memory storing machine executable instructions executable by the processor, the processor executing the machine executable instructions to implement the rainfall flood prediction scheduling method according to any one of claims 1 to 7.
10. A machine-readable storage medium having stored thereon machine-executable instructions which, when invoked and executed by a processor, cause the processor to implement the rain flood prediction scheduling method of any one of claims 1 to 7.
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