Flood prevention early warning method and device for reservoir
By predicting the time when rainfall clouds arrive at the reservoir and the time when the reservoir water storage reaches the preset water level, flood risk warning signals are generated in advance, solving the problem of untimely flood warnings in the existing technology, and improving the timeliness and reliability of reservoir flood prevention warnings sex.
Patent Information
- Application Number
- CN202510038765.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-10
- Publication Date
- 2025-02-18
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing reservoir flood prevention warning method only triggers the warning when the reservoir water level reaches the warning level, resulting in the flood warning being untimely, affecting the reliability of flood prevention warning.
By obtaining the movement speed of the rainfall clouds and the distance from the reservoir, we predict the time when the rainfall clouds arrive at the reservoir, and based on the predicted water storage volume and rainfall intensity of the reservoir, we predict the time when the water storage volume reaches the preset water level, and generate flood risk warning signals in advance .
It improves the timeliness of reservoir flood prevention warnings, ensures that early warnings can be made before the water level reaches the warning water level, and enhances the reliability of flood prevention warnings.
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Figure CN119479244A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of reservoir risk detection, and in particular to a reservoir flood prevention and early warning method and device. Background Art
[0002] In order to improve the safety of reservoirs, it is necessary to conduct flood prevention detection on reservoirs to avoid flooding. In related technologies, flood prevention detection on reservoirs is to detect whether the current water level of the reservoir has reached the warning water level, and trigger an alarm when the current water level of the reservoir reaches the warning water level, so as to achieve flood prevention warning of the reservoir.
[0003] However, this flood prevention and early warning method requires that the water level of the reservoir reaches the warning level before issuing an early warning. When the water level reaches the warning level, the flood situation in the reservoir is already quite serious. If the water level of the reservoir is only warned at this time, there is a risk of untimely warning, which affects the reliability of the reservoir's flood prevention and early warning. Summary of the invention
[0004] The present application aims to solve at least one of the technical problems existing in the related art. To this end, the present application proposes a reservoir flood prevention early warning method, which can improve the timeliness of the reservoir flood prevention early warning.
[0005] The application also proposes a flood prevention and early warning device for a reservoir.
[0006] The application also provides an electronic device.
[0007] The present application also proposes a computer-readable storage medium.
[0008] The reservoir flood prevention and early warning method according to the first embodiment of the present application includes: According to the obtained moving speed of the rain cloud and the distance between the rain cloud and the reservoir, the predicted time for the rain cloud to reach the reservoir is determined; Determine a second predicted time point at which the water storage capacity of the reservoir reaches a preset water storage capacity according to the predicted water storage capacity of the reservoir at the first predicted time point determined based on the predicted duration and the rainfall intensity of the rainfall cloud; generating, according to the second prediction time point, a warning signal indicating that the reservoir has a flood risk at the second prediction time point; Wherein, the preset water storage capacity is determined according to the warning water level of the reservoir.
[0009] By determining the predicted time for the rain clouds to reach the reservoir based on the acquired moving speed of the rain clouds and the distance between the rain clouds and the reservoir, and determining the second predicted time point when the water storage of the reservoir reaches the preset water storage capacity based on the predicted water storage capacity at the first predicted time point determined based on the predicted time period and the rainfall intensity of the rain clouds, a warning signal is generated based on the second predicted time point to prompt the reservoir of flood risk at the second predicted time point, thereby predicting the time point when the water level of the reservoir reaches the warning water level and issuing a warning at this time point, thereby improving the timeliness of the reservoir flood prevention warning and further improving the reliability of the reservoir flood prevention warning.
[0010] According to one embodiment of the present application, it also includes: According to the current water storage capacity and the current environmental parameters of the reservoir, determining a first historical time point at which the corresponding historical water storage capacity is consistent with the current water storage capacity and the corresponding historical environmental parameters are consistent with the current environmental parameters; Determining a second historical time point according to the first historical time point and the predicted duration; The predicted water storage capacity of the reservoir at the first prediction time point corresponding to the prediction duration is determined based on the historical water storage capacity at the second historical time point.
[0011] According to one embodiment of the present application, it also includes: The predicted water storage capacity of the reservoir at the first prediction time point corresponding to the prediction duration is determined according to the current water storage capacity of the reservoir, the current drainage rate of the drainage outlet of the reservoir and the current water inflow rate of the water inlet.
[0012] According to one embodiment of the present application, it also includes: Determine that the rainfall cloud arrives at the reservoir, and determine, based on the actual rainfall intensity of the rainfall cloud at any target time and the actual water storage capacity of the reservoir at the target time, a third predicted time point at which the water storage capacity of the reservoir reaches the preset water storage capacity at the target time; The early warning signal is updated according to the third predicted time point.
[0013] According to one embodiment of the present application, updating the early warning signal according to the third predicted time point includes: Determine that the third predicted time point is later than the second predicted time point, and the time interval between the third predicted time point and the second predicted time point is less than a preset interval, and maintain the early warning signal.
[0014] According to one embodiment of the present application, it also includes: Determine that the third prediction time point is earlier than the second prediction time point, and adjust the early warning signal to prompt that the reservoir faces flood risk at the third prediction time point.
[0015] According to one embodiment of the present application, it also includes: According to the early warning signal, the current drainage rate of the reservoir is adjusted.
[0016] The flood prevention and early warning device for a reservoir according to the second embodiment of the present application includes: The first prediction module is used to determine the predicted time for the rain cloud to reach the reservoir according to the obtained moving speed of the rain cloud and the distance between the rain cloud and the reservoir; A second prediction module is used to determine a second prediction time point when the water storage capacity of the reservoir reaches a preset water storage capacity according to the predicted water storage capacity of the reservoir at the first prediction time point determined based on the prediction duration and the rainfall intensity of the rainfall cloud group; a risk warning module, configured to generate, according to the second prediction time point, a warning signal indicating that the reservoir has a flood risk at the second prediction time point; Wherein, the preset water storage capacity is determined according to the warning water level of the reservoir.
[0017] According to an electronic device of an embodiment of the third aspect of the present application, the electronic device comprises a processor and a memory storing a computer program, and when the processor executes the computer program, the reservoir flood prevention and warning method described in any of the above embodiments is implemented.
[0018] According to the computer-readable storage medium of the fourth aspect of the present application, a computer program is stored thereon, and when the computer program is executed by a processor, the reservoir flood prevention and warning method described in any of the above embodiments is implemented. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] In order to more clearly illustrate the technical solutions in the present application or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0020] Figure 1 A flow chart of a reservoir flood prevention and early warning method according to some embodiments of the present application; Figure 2 A schematic diagram of the structure of a flood prevention and early warning device for a reservoir provided in some embodiments of the present application; Figure 3 A schematic diagram of the structure of an electronic device provided for some embodiments of the present application. DETAILED DESCRIPTION
[0021] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0022] Below, the reservoir flood prevention warning method and device provided in the embodiments of the present application will be introduced and explained in detail through several specific embodiments.
[0023] In one embodiment, a reservoir flood warning method is provided, which is applied to a terminal device for flood warning of a reservoir. The terminal device may be a desktop terminal, a mobile terminal or a server, and the server may be an independent server or a server cluster composed of multiple servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud message databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and large message data and artificial intelligence sampling point devices.
[0024] like Figure 1 As shown, a reservoir flood prevention early warning method provided in this embodiment includes: Step 101, determining the predicted time for the rain cloud to reach the reservoir according to the acquired moving speed of the rain cloud and the distance between the rain cloud and the reservoir; Step 102, determining a second predicted time point at which the water storage capacity of the reservoir reaches a preset water storage capacity according to the predicted water storage capacity of the reservoir at the first predicted time point determined based on the predicted duration and the rainfall intensity of the rainfall cloud; Step 103, generating, according to the second prediction time point, a warning signal indicating that the reservoir has a flood risk at the second prediction time point; Wherein, the preset water storage capacity is determined according to the warning water level of the reservoir.
[0025] In some embodiments, when the presence of a rain cloud near the reservoir is detected by the rain radar or weather forecast of the reservoir, the moving speed of the rain cloud and the distance between the rain cloud and the reservoir can be obtained by the rain radar or weather forecast of the reservoir. Exemplarily, the moving speed of the rain cloud and the distance between the rain cloud and the reservoir can be obtained by calculating the radar data detected by the rain radar using the optical flow method or other conventional calculation methods. The radar data includes radar echo value, longitude and latitude, radial velocity, etc.
[0026] After obtaining the moving speed of the rain cloud and the distance between the rain cloud and the reservoir, the predicted time for the rain cloud to reach the reservoir can be determined based on the moving speed of the rain cloud and the distance between the rain cloud and the reservoir. If the moving speed of the rain cloud is V and the distance between the rain cloud and the reservoir is S, the predicted time for the rain cloud to reach the reservoir can be obtained as T=S / V.
[0027] After obtaining the predicted time T for the rain cloud to arrive at the reservoir, the predicted time point t1=T+t for the rain cloud to arrive at the reservoir can be determined based on the predicted time T and the current time t, so that the predicted time point t1 for the rain cloud to arrive at the reservoir is used as the first predicted time point determined based on the predicted time T. For example, if the current time t is 8:00 a.m. and the predicted time T is 5 minutes, the first predicted time point t1 can be determined to be 8:05 a.m.
[0028] After determining the first prediction time point, the predicted water storage of the reservoir at the first prediction time point can be predicted based on the current water storage of the reservoir and the current environmental parameters. If there is no rainfall in the reservoir at present, the current water storage of the reservoir can be used as the predicted water storage of the reservoir at the first prediction time point. Alternatively, if water flows into the reservoir at this time, the water storage of the reservoir at the first prediction time point can be determined based on the current water storage of the reservoir and the current water inflow rate of the water inlet flowing into the reservoir, that is, the current water flow rate of the water inlet and the prediction duration. If the current water storage is Qt, the current water inflow rate is v1, and the prediction duration is T, the predicted water storage of the reservoir at the first prediction time point can be determined to be Qt1=Qt+v1×T. Alternatively, if the reservoir is in a drainage state at this time, the water storage of the reservoir at the first prediction time point can be determined based on the current water storage of the reservoir and the current drainage rate and prediction duration of the drainage outlet of the reservoir. If the current water storage capacity is Qt, the current drainage rate is v2, and the prediction time is T, then the predicted water storage capacity of the reservoir at the first prediction time point can be determined as Qt1=Qt-v2×T.
[0029] After obtaining the predicted water storage capacity of the reservoir at the first prediction time point, the predicted time point when the water storage capacity of the reservoir reaches the preset water storage capacity can be obtained as the second prediction time point according to the predicted water storage capacity and the rainfall intensity of the rainfall cloud. Among them, the rainfall intensity of the rainfall cloud can be the average rainfall intensity of the rainfall cloud, which can be determined by rainfall radar or weather forecast. The preset water storage capacity is the water storage capacity of the reservoir when the water level of the reservoir is at the warning water level. Exemplarily, assuming that the predicted water storage capacity of the reservoir at the first prediction time point t1 is Qt1, the rainfall intensity of the rainfall cloud is L, the preset water storage capacity is Q, and the second prediction time point is t2, it can be obtained that Q=Qt1+L(t2-t1). Based on this, it can be determined that the second prediction time point t2 when the water storage capacity of the reservoir reaches the preset water storage capacity Q.
[0030] After obtaining the second predicted time point t2, a warning signal can be generated based on the second predicted time point t2 to prompt that the reservoir is at risk of flooding at the second predicted time point t2, such as generating a warning signal including the second predicted time point t2 to prompt the user that there is a risk in the reservoir at the second predicted time point t2.
[0031] By determining the predicted time for the rain clouds to reach the reservoir based on the acquired moving speed of the rain clouds and the distance between the rain clouds and the reservoir, and determining the second predicted time point when the water storage of the reservoir reaches the preset water storage capacity based on the predicted water storage capacity at the first predicted time point determined based on the predicted time period and the rainfall intensity of the rain clouds, a warning signal is generated based on the second predicted time point to prompt the reservoir of flood risk at the second predicted time point, thereby predicting the time point when the water level of the reservoir reaches the warning water level and issuing a warning at this time point, thereby improving the timeliness of the reservoir flood prevention warning and further improving the reliability of the reservoir flood prevention warning.
[0032] In order to improve the reliability of the predicted water storage capacity of the reservoir at the first prediction time point, so as to improve the accuracy of the subsequently generated early warning signal, in some embodiments, the method further includes: According to the current water storage capacity and the current environmental parameters of the reservoir, determining a first historical time point at which the corresponding historical water storage capacity is consistent with the current water storage capacity and the corresponding historical environmental parameters are consistent with the current environmental parameters; Determining a second historical time point according to the first historical time point and the predicted duration; The predicted water storage capacity of the reservoir at the first prediction time point corresponding to the prediction duration is determined based on the historical water storage capacity at the second historical time point.
[0033] In some embodiments, the terminal device may pre-store various historical detection data of the reservoir, wherein the historical detection data includes the historical water storage at a certain historical time point and the historical environmental parameters of the reservoir at the historical time point. The historical environmental parameters may include the humidity, temperature, drainage rate of the drain outlet, and water inflow rate of the water inlet of the reservoir.
[0034] When it is necessary to determine the predicted water storage capacity at the first prediction time point, the current water storage capacity and the current environmental parameters of the reservoir can be obtained, and the first target historical detection data whose historical water storage capacity is the same as the current water storage capacity and whose historical environmental parameters are the same as the current environmental parameters can be determined from the various historical detection data of the reservoir, so as to determine the historical time point in the first target historical detection data as the first historical time point.
[0035] After determining the first historical time point, the second historical time point can be determined according to the first historical time point and the predicted duration. If the first historical time point is t1' and the predicted duration is T, the second historical time point t2'=t1'+T can be determined.
[0036] After determining the second historical time point, historical detection data with the same historical time point as the second historical time point can be obtained from each historical detection data as the second target historical detection data, so as to determine the historical water storage capacity in the second target historical detection data as the predicted water storage capacity of the reservoir at the first predicted time point.
[0037] If there are multiple second target historical detection data, the mode of the historical water storage of each second target historical detection data can be determined as the predicted water storage of the reservoir at the first prediction time point. Alternatively, the historical water storage of each second target historical detection data can be subjected to outlier denoising, and then the average value of the remaining historical water storage can be determined as the predicted water storage of the reservoir at the first prediction time point.
[0038] In this way, the obtained predicted water storage capacity can be made more consistent with the actual situation, so as to improve the reliability of the predicted water storage capacity of the reservoir at the first predicted time point, thereby improving the accuracy of the warning signal generated subsequently.
[0039] Considering that when using historical detection data to determine the predicted water storage at the first prediction time point, there may be a situation where there is no historical detection data in the historical detection data that matches the current water storage of the reservoir and the current environmental parameters, resulting in the inability to determine the predicted water storage at the first prediction time point. To this end, in some embodiments, the method further includes: The predicted water storage capacity of the reservoir at the first prediction time point corresponding to the prediction duration is determined according to the current water storage capacity of the reservoir, the current drainage rate of the drainage outlet of the reservoir and the current water inflow rate of the water inlet.
[0040] Considering that the temperature and humidity of the reservoir have little effect on the water level in a short period of time, and if a rain cloud is detected by the rain radar of the reservoir, it means that the rain cloud is close to the reservoir at this time, and the time it takes to move to the reservoir is short. Therefore, during the period of time when the rain cloud moves to the reservoir, the impact of the temperature and humidity of the reservoir on the water storage capacity of the reservoir can be ignored. Therefore, in some embodiments, the current water inflow rate of the drain outlet of the reservoir can be obtained through the water flow sensor at the water inlet of the reservoir, and the current drainage rate of the drain outlet of the reservoir can be obtained through the water flow sensor at the drain outlet of the reservoir. After obtaining the current water inflow rate and the current drainage rate, the predicted water storage capacity of the reservoir at the first predicted time point can be calculated based on the current water storage capacity of the reservoir, the current water inflow rate, the current drainage rate, and the predicted time for the rain cloud to arrive at the reservoir. If the current water storage capacity is Qt, the current water inflow rate is v1, the current drainage rate is v2, and the predicted time for the rainfall cloud to reach the reservoir is T, then the predicted water storage capacity at the first prediction time point can be obtained as Qt1=Qt+(v1-v2)×T.
[0041] The predicted water storage capacity of the reservoir at the first prediction time point corresponding to the prediction duration is determined by the current water storage capacity of the reservoir, the current drainage rate of the reservoir's outlet and the current water inlet rate. This avoids the inability to determine the predicted water storage capacity at the first prediction time point and makes the predicted water storage capacity at the first prediction time point more reliable, thereby improving the accuracy of the subsequently generated early warning signals.
[0042] After determining the predicted water storage capacity of the reservoir at the first prediction time point, the second prediction time point when the water storage capacity of the reservoir reaches the preset water storage capacity can be determined based on the predicted water storage capacity and the rainfall intensity of the rainfall clouds, so as to generate a warning signal to prompt the reservoir to face flood risk at the second prediction time point.
[0043] In order to further improve the reliability of flood prevention warning of the reservoir, in some embodiments, the method further includes: Determine that the rainfall cloud arrives at the reservoir, and determine, based on the actual rainfall intensity of the rainfall cloud at any target time and the actual water storage capacity of the reservoir at the target time, a third predicted time point at which the water storage capacity of the reservoir reaches the preset water storage capacity at the target time; The early warning signal is updated according to the third predicted time point.
[0044] In some embodiments, when it is detected that the rain cloud moves to the reservoir, any moment after the rain cloud moves to the reservoir can be determined as the target moment, such as the starting moment when the rain cloud moves to the reservoir.
[0045] After determining the target time, the actual rainfall intensity of the rainfall cloud at the target time can be detected by a rain sensor or a funnel-type rain gauge, and the actual water storage capacity of the reservoir at the target time can be obtained. The predicted time point when the detected water storage capacity of the reservoir reaches the preset water storage capacity at the target time can be determined as the third predicted time point based on the actual rainfall intensity and the actual water storage capacity at the target time.
[0046] For example, assuming that the actual rainfall intensity of the rain cloud at the target time t' is L', the actual water storage capacity of the reservoir at the target time t' is Q', the preset water storage capacity is Q, and the third predicted time point is t3, then Q=Q'+L'(t3-t') can be obtained. Based on this, it can be determined that the third predicted time point t3 when the water storage capacity of the reservoir reaches the preset water storage capacity Q.
[0047] After obtaining the third predicted time point t3, the warning signal can be updated according to the third predicted time point t3. For example, the warning signal is updated to a warning signal indicating that the reservoir has a flood risk at the third predicted time point t3. This can more accurately predict the time point when the reservoir has a flood risk, and improve the reliability of the reservoir's flood prevention warning.
[0048] To further improve the reliability of flood prevention warning, in some embodiments, updating the warning signal according to the third prediction time point includes: Determine that the third predicted time point is later than the second predicted time point, and the time interval between the third predicted time point and the second predicted time point is less than a preset interval, and maintain the early warning signal.
[0049] The preset interval can be set according to actual conditions, such as 1-3 minutes.
[0050] In some embodiments, after obtaining the third predicted time point, the third predicted time point can be compared with the second predicted time point. If the third predicted time point is later than the second predicted time point, and the time interval between the third predicted time point and the second predicted time point is less than the preset interval, it means that the time point when the reservoir has a flood risk may be slightly later than the second predicted time point. At this time, in order to enable management personnel to deal with the flood risk of the reservoir in a timely manner and improve the safety of the reservoir, the early warning signal is designed redundantly, that is, the early warning signal is maintained to prompt the reservoir to have a flood risk at the second predicted time point, so as to avoid the sudden increase in the rainfall intensity of the rainfall cloud group, resulting in the inability to deal with the flood risk in a timely manner, thereby improving the reliability of flood prevention and early warning.
[0051] If the third prediction time point is later than the second prediction time point, and the time interval between the third prediction time point and the second prediction time point reaches the preset interval, it means that the time point when the reservoir faces flood risk is longer than the second prediction time point. At this time, the early warning signal can be adjusted to prompt that the reservoir faces flood risk at the third prediction time point.
[0052] Alternatively, in some embodiments, if it is determined that the third prediction time point is earlier than the second prediction time point, the warning signal is adjusted to prompt the reservoir that a flood risk is present at the third prediction time point, so as to avoid a situation where the flood risk cannot be handled in a timely manner due to a sudden increase in rainfall intensity of the rainfall clouds, thereby improving the reliability of flood prevention warnings.
[0053] In some embodiments, after receiving the warning signal, the current drainage rate of the reservoir can also be adjusted according to the warning signal. For example, assuming that the warning signal indicates that the reservoir will face a flood risk at a certain predicted time point, the current drainage rate of the reservoir will be increased until it is determined that the reservoir will not face a flood risk at any predicted time point.
[0054] The reservoir flood prevention and warning device provided in the present application is described below. The reservoir flood prevention and warning device described below and the reservoir flood prevention and warning method described above can be referenced to each other.
[0055] In one embodiment, if Figure 2 As shown, a flood prevention and early warning device for a reservoir is provided, comprising: The first prediction module 210 is used to determine the predicted time for the rain cloud to reach the reservoir according to the obtained moving speed of the rain cloud and the distance between the rain cloud and the reservoir; A second prediction module 220 is used to determine a second prediction time point when the water storage capacity of the reservoir reaches a preset water storage capacity according to the predicted water storage capacity of the reservoir at the first prediction time point determined based on the prediction duration and the rainfall intensity of the rainfall cloud; The risk warning module 230 is used to generate a warning signal indicating that the reservoir has a flood risk at the second prediction time point according to the second prediction time point; Wherein, the preset water storage capacity is determined according to the warning water level of the reservoir.
[0056] By determining the predicted time for the rain clouds to reach the reservoir based on the acquired moving speed of the rain clouds and the distance between the rain clouds and the reservoir, and determining the second predicted time point when the water storage of the reservoir reaches the preset water storage capacity based on the predicted water storage capacity at the first predicted time point determined based on the predicted time period and the rainfall intensity of the rain clouds, a warning signal is generated based on the second predicted time point to prompt the reservoir of flood risk at the second predicted time point, thereby predicting the time point when the water level of the reservoir reaches the warning water level and issuing a warning at this time point, thereby improving the timeliness of the reservoir flood prevention warning and further improving the reliability of the reservoir flood prevention warning.
[0057] In one embodiment, the second prediction module 220 is further configured to: According to the current water storage capacity and the current environmental parameters of the reservoir, determining a first historical time point at which the corresponding historical water storage capacity is consistent with the current water storage capacity and the corresponding historical environmental parameters are consistent with the current environmental parameters; Determining a second historical time point according to the first historical time point and the predicted duration; The predicted water storage capacity of the reservoir at the first prediction time point corresponding to the prediction duration is determined based on the historical water storage capacity at the second historical time point.
[0058] In one embodiment, the second prediction module 220 is further configured to: The predicted water storage capacity of the reservoir at the first prediction time point corresponding to the prediction duration is determined according to the current water storage capacity of the reservoir, the current drainage rate of the drainage outlet of the reservoir and the current water inflow rate of the water inlet.
[0059] In one embodiment, the risk warning module 230 is further used to: Determine that the rainfall cloud arrives at the reservoir, and determine, based on the actual rainfall intensity of the rainfall cloud at any target time and the actual water storage capacity of the reservoir at the target time, a third predicted time point at which the water storage capacity of the reservoir reaches the preset water storage capacity at the target time; The early warning signal is updated according to the third predicted time point.
[0060] In one embodiment, the risk warning module 230 is specifically used to: Determine that the third predicted time point is later than the second predicted time point, and the time interval between the third predicted time point and the second predicted time point is less than a preset interval, and maintain the early warning signal.
[0061] In one embodiment, the risk warning module 230 is further used to: Determine that the third prediction time point is earlier than the second prediction time point, and adjust the early warning signal to prompt that the reservoir faces flood risk at the third prediction time point.
[0062] In one embodiment, the risk warning module 230 is further used to: According to the early warning signal, the current drainage rate of the reservoir is adjusted.
[0063] Figure 3 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 3As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820 and the memory 830 communicate with each other through the communication bus 840. The processor 810 may call a computer program in the memory 830 to execute a flood prevention and early warning method for a reservoir, for example, including: According to the obtained moving speed of the rain cloud and the distance between the rain cloud and the reservoir, the predicted time for the rain cloud to reach the reservoir is determined; Determine a second predicted time point at which the water storage capacity of the reservoir reaches a preset water storage capacity according to the predicted water storage capacity of the reservoir at the first predicted time point determined based on the predicted duration and the rainfall intensity of the rainfall cloud; generating, according to the second prediction time point, a warning signal indicating that the reservoir has a flood risk at the second prediction time point; Wherein, the preset water storage capacity is determined according to the warning water level of the reservoir.
[0064] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.
[0065] On the other hand, an embodiment of the present application further provides a storage medium, the storage medium includes a computer program, the computer program can be stored on a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute the reservoir flood prevention early warning method provided by the above embodiments, for example, including: According to the obtained moving speed of the rain cloud and the distance between the rain cloud and the reservoir, the predicted time for the rain cloud to reach the reservoir is determined; Determine a second predicted time point at which the water storage capacity of the reservoir reaches a preset water storage capacity according to the predicted water storage capacity of the reservoir at the first predicted time point determined based on the predicted duration and the rainfall intensity of the rainfall cloud; generating, according to the second prediction time point, a warning signal indicating that the reservoir has a flood risk at the second prediction time point; Wherein, the preset water storage capacity is determined according to the warning water level of the reservoir.
[0066] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.
[0067] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.
[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A reservoir flood prevention early warning method, characterized in that: include: According to the obtained moving speed of the rain cloud and the distance between the rain cloud and the reservoir, the predicted time for the rain cloud to reach the reservoir is determined; Determine a second predicted time point at which the water storage capacity of the reservoir reaches a preset water storage capacity according to the predicted water storage capacity of the reservoir at the first predicted time point determined based on the predicted duration and the rainfall intensity of the rainfall cloud; generating, according to the second prediction time point, a warning signal indicating that the reservoir has a flood risk at the second prediction time point; Wherein, the preset water storage capacity is determined according to the warning water level of the reservoir.
2. The reservoir flood prevention and early warning method according to claim 1, characterized in that: Also includes: According to the current water storage capacity and the current environmental parameters of the reservoir, determining a first historical time point at which the corresponding historical water storage capacity is consistent with the current water storage capacity and the corresponding historical environmental parameters are consistent with the current environmental parameters; Determining a second historical time point according to the first historical time point and the predicted duration; The predicted water storage capacity of the reservoir at the first prediction time point corresponding to the prediction duration is determined based on the historical water storage capacity at the second historical time point.
3. The reservoir flood prevention and early warning method according to claim 1, characterized in that: Also includes: The predicted water storage capacity of the reservoir at the first prediction time point corresponding to the prediction duration is determined according to the current water storage capacity of the reservoir, the current drainage rate of the drainage outlet of the reservoir and the current water inflow rate of the water inlet.
4. The reservoir flood prevention and early warning method according to any one of claims 1 to 3, characterized in that: Also includes: Determine that the rainfall cloud arrives at the reservoir, and determine, based on the actual rainfall intensity of the rainfall cloud at any target time and the actual water storage capacity of the reservoir at the target time, a third predicted time point at which the water storage capacity of the reservoir reaches the preset water storage capacity at the target time; The early warning signal is updated according to the third predicted time point.
5. The reservoir flood prevention and early warning method according to claim 4, characterized in that: Updating the early warning signal according to the third predicted time point includes: Determine that the third predicted time point is later than the second predicted time point, and the time interval between the third predicted time point and the second predicted time point is less than a preset interval, and maintain the early warning signal.
6. The reservoir flood prevention and early warning method according to claim 5, characterized in that: Also includes: Determine that the third prediction time point is earlier than the second prediction time point, and adjust the early warning signal to prompt that the reservoir faces flood risk at the third prediction time point.
7. The reservoir flood prevention and early warning method according to any one of claims 1 to 3, 5 or 6, characterized in that: Also includes: According to the early warning signal, the current drainage rate of the reservoir is adjusted.
8. A flood prevention and early warning device for a reservoir, characterized in that: include: The first prediction module is used to determine the predicted time for the rain cloud to reach the reservoir according to the obtained moving speed of the rain cloud and the distance between the rain cloud and the reservoir; A second prediction module is used to determine a second prediction time point when the water storage capacity of the reservoir reaches a preset water storage capacity according to the predicted water storage capacity of the reservoir at the first prediction time point determined based on the prediction duration and the rainfall intensity of the rainfall cloud group; a risk warning module, configured to generate, according to the second prediction time point, a warning signal indicating that the reservoir has a flood risk at the second prediction time point; Wherein, the preset water storage capacity is determined according to the warning water level of the reservoir.
9. An electronic device comprising a processor and a memory storing a computer program, characterized in that: When the processor executes the computer program, the reservoir flood prevention and early warning method according to any one of claims 1 to 7 is implemented.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the reservoir flood prevention and early warning method according to any one of claims 1 to 7 is implemented.
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