Flood area starting recommendation method, device and equipment

Abstract

The invention provides a flood area starting recommendation method, device and equipment, and relates to the technical field of big data analysis. The method comprises the steps of obtaining a flood area data set and water volume information of each flood area in at least one flood area according to flood area information of the at least one flood area of a target drainage basin; according to the flood district data set and the flood district information of each flood district, obtaining a starting priority value corresponding to each flood district; according to the flood district data set and the water volume information of each flood district, obtaining a flood district risk estimated value corresponding to each flood district; according to the starting priority value and the flood area risk estimation value of each flood area, obtaining a flood area starting recommendation index corresponding to each flood area; according to the method, the flood areas with the flood area starting recommendation indexes larger than the first preset threshold value in the at least one flood area are added to the flood area starting recommendation list, the flood diversion area data are combined to obtain the flood area starting recommendation list, flood area starting scheduling can be carried out according to the flood area starting recommendation list, flood area flood storage maximum scheduling is achieved, and economic losses are reduced.

Description

Technical Field

[0001] This invention relates to the field of big data analytics, and in particular to a method, apparatus, and equipment for recommending the activation of flood control measures in flood-prone areas. Background Technology

[0002] Flood control and drainage in flood storage and detention areas is a crucial task. When the predicted flood volume reaches the activation criteria for flood storage and detention areas, these areas will be activated for flood diversion, mitigating the flood risk to protected areas. By storing floodwater in these areas, the flow rate is altered, reducing the impact and damage to densely populated areas and downstream regions. Existing technologies applied to flood control and drainage include the following:

[0003] 1. A coupled one-dimensional and two-dimensional hydrodynamic model of flood inundation is adopted to realize flood control scheduling in flood detention areas. Auxiliary flood discharge channels are added to pumping stations to assist in flood discharge when the flood flow exceeds the pumping station flow and the flood detention area is already at full capacity. However, the scheduling measures cannot maximize the flood discharge capacity of the entire flood detention and discharge system. Furthermore, in the event of exceptionally large floods exceeding the design scale, the flood diversion and storage of floodwaters cannot be rationally scheduled, resulting in an imbalance in the activation and scheduling of flood areas. This causes some flood areas to face significant flood diversion pressure, exacerbates economic losses in flood areas, and affects the effectiveness of flood diversion and discharge.

[0004] 2. The system integrates various relevant data and automatically extracts effective information for global correlation analysis. A natural language processing module is used for key information analysis and extraction; a big data preprocessing and storage module is used for preprocessing and storing basic data and high-resolution remote sensing data related to flood storage areas; a data correlation module is used for data classification and correlation; and an impact analysis module is used for comparing and analyzing the impact of simulation results. However, existing technologies are limited by data fragmentation; data is not shared between flood areas, resulting in data silos and inaccurate data. Summary of the Invention

[0005] The purpose of this invention is to provide a recommended method, apparatus, and equipment for flood diversion area activation, which solves the problem of fragmented data in various flood diversion areas in the prior art, making it difficult to maximize the scheduling of floodwaters in flood diversion areas, thus causing high flood diversion pressure.

[0006] To achieve the above objectives, embodiments of the present invention provide a flood zone activation recommendation method, comprising:

[0007] Based on the flood district information of at least one flood district in the target watershed, obtain the flood district dataset and water volume information for each of the at least one flood district;

[0008] Based on the flood area dataset and flood area information for each flood area, obtain the activation priority value corresponding to each flood area;

[0009] Based on the flood area dataset and water volume information for each flood area, obtain the flood area risk estimate for each flood area;

[0010] Based on the activation priority value and the flood risk estimate of each flood area, obtain the flood area activation recommendation index corresponding to each flood area;

[0011] Add at least one flood zone whose flood zone activation recommendation index is greater than a first preset threshold to the flood zone activation recommendation list.

[0012] Optionally, the method, wherein obtaining the activation priority value corresponding to each flood area based on the flood area dataset and flood area information of each flood area, includes:

[0013] Based on the flood area dataset and flood area information for each flood area, obtain the historical activation dataset for each flood area; wherein, the historical activation dataset includes at least one piece of data information when the flood area was activated in the past;

[0014] The historical activation dataset of the flood area is normalized to obtain a normalized historical activation dataset of the flood area; wherein, the normalized historical activation dataset of the flood area includes normalized data information corresponding to each data information in at least one data information in the historical activation dataset of the flood area;

[0015] Based on the standardized flood area historical activation dataset, a standardized redundancy dataset is obtained; wherein, the standardized redundancy dataset includes the redundancy corresponding to each data information in at least one data information in the flood area historical activation dataset;

[0016] Based on the normalized redundancy dataset, a first weight dataset is obtained; wherein, the first weight dataset includes the weight value corresponding to each data information in at least one data information in the historical activation dataset of the flood area;

[0017] The activation priority value is obtained based on the first weighted dataset and the normalized flood area historical activation dataset.

[0018] Optionally, the method, wherein obtaining the historical activation dataset for each flood area based on the flood area dataset and flood area information for each flood area includes:

[0019] Based on the flood area dataset for each flood area, obtain the flood area number corresponding to each flood area;

[0020] Based on the flood area information of each flood area, obtain at least one piece of data information corresponding to the historical activation of each flood area.

[0021] Based on the flood zone number and at least one data information of each flood zone, obtain the historical activation dataset corresponding to each flood zone.

[0022] Optionally, in the method, the historical flood data set includes at least one of flood volume, flood diversion volume, and flood loss value.

[0023] The standardized flood area historical activation dataset includes at least one of the following: standardized flood volume, standardized flood diversion volume, and standardized flood area loss value;

[0024] The normalized redundancy dataset includes at least one of normalized flood volume redundancy, normalized flood diversion volume redundancy, and normalized flood diversion loss value redundancy;

[0025] The first weighted dataset includes at least one of the following: flood volume weight, flood zone flood volume weight, and flood zone loss value weight.

[0026] Optionally, the method, wherein obtaining the flood risk prediction value corresponding to each flood area based on the flood area dataset and the water volume information for each flood area includes:

[0027] Based on the water volume information of each flood area, obtain the current water volume information and the expected water volume information of the flood area at the first preset time in the future for each flood area;

[0028] For each flood area, feature extraction is performed on the current flood area water volume information and the expected flood area water volume information to obtain the current flood area water volume feature value and the expected flood area water volume feature value corresponding to each flood area.

[0029] Feature extraction is performed on the standard flood capacity of each flood area to obtain the standard flood capacity feature value corresponding to each flood area; wherein, the flood area dataset includes the standard flood capacity;

[0030] Based on the current water volume characteristic value, the expected water volume characteristic value, and the standard capacity characteristic value of each flood area, the flood area risk prediction value corresponding to each flood area is obtained.

[0031] Optionally, the method, wherein obtaining the flood risk estimate for each flood area based on the flood area water volume characteristic value, the predicted flood area water volume characteristic value, and the flood area standard capacity characteristic value, includes:

[0032] Based on the current water volume characteristic value and the standard capacity characteristic value of each flood area, the remaining flood diversion capacity characteristic value corresponding to each flood area is obtained;

[0033] Based on the remaining flood diversion capacity characteristic value and the expected water volume characteristic value within each flood area, the expected total water volume characteristic value corresponding to each flood area is obtained;

[0034] Based on the remaining flood diversion capacity characteristic value and the expected total water volume characteristic value of each flood area, the flood area risk prediction value corresponding to each flood area is obtained.

[0035] Optionally, the method, wherein obtaining a flood zone activation recommendation index corresponding to each flood zone based on the activation priority value and the flood zone risk estimate for each flood zone, includes:

[0036] The activation recommendation index for each flood area is obtained by adding the product of the activation priority value and the first weight value for each flood area and the product of the flood area risk estimate and the second weight value; wherein the first weight value and the second weight value are both preset values.

[0037] Optionally, the method, wherein adding at least one flood zone with a flood zone activation recommendation index greater than a first preset threshold to the flood zone activation recommendation list includes:

[0038] The flood areas in at least one flood area whose flood area activation recommendation index is greater than the first preset threshold are identified as flood areas to be recommended.

[0039] The flood areas to be recommended are sorted in descending order according to their corresponding flood area recommendation indices to obtain a flood area sequence.

[0040] A flood zone activation recommendation list is generated based on the flood zone number of each flood zone to be recommended in the flood zone sequence; wherein, the flood zone dataset includes the flood zone number.

[0041] Optionally, the method further includes, after adding at least one flood zone with a flood zone activation recommendation index greater than a first preset threshold to the flood zone activation recommendation list:

[0042] The recommended list of flood-area activations is uploaded to the user's display terminal for flood-area activation scheduling.

[0043] To achieve the above objectives, embodiments of the present invention provide a flood zone activation recommendation device, comprising:

[0044] The first acquisition module is used to acquire the flood data set and water volume information of each flood area in the at least one flood area of ​​the target watershed based on the flood area information of at least one flood area.

[0045] The second acquisition module is used to acquire the activation priority value corresponding to each flood area based on the flood area dataset and flood area information of each flood area;

[0046] The third acquisition module is used to acquire the flood risk estimate corresponding to each flood area based on the flood area dataset and the water volume information of each flood area.

[0047] The fourth acquisition module is used to acquire the flood zone activation recommendation index corresponding to each flood zone based on the activation priority value and the flood zone risk prediction value of each flood zone;

[0048] The first processing module is used to add at least one flood area whose flood area activation recommendation index is greater than a first preset threshold to the flood area activation recommendation list.

[0049] To achieve the above objectives, embodiments of the present invention provide an electronic device, including: a transceiver, a processor, a memory, and a program or instructions stored in the memory and executable on the processor; wherein, when the processor executes the program or instructions, it implements the flood zone activation recommended method as described above.

[0050] To achieve the above objectives, embodiments of the present invention provide a readable storage medium having a program or instructions stored thereon, wherein the program or instructions, when executed by a processor, implement the steps in the recommended flood zone activation method as described above.

[0051] To achieve the above objectives, embodiments of the present invention provide a computer program product, comprising computer instructions that, when executed by a processor, implement the steps of the flood zone activation recommendation method as described above.

[0052] The beneficial effects of the above-described technical solution of the present invention are as follows:

[0053] In this embodiment of the invention, the activation priority value and flood risk assessment value of each flood zone are calculated based on the flood zone information of at least one flood zone in the target watershed. Then, a flood zone activation recommendation index is calculated, and flood zones with a flood zone activation recommendation index greater than a first preset threshold are added to the flood zone activation recommendation list. This allows the data of each flood diversion zone to be combined to obtain the flood zone activation recommendation list. Flood zone activation scheduling can be carried out based on the flood zone activation recommendation list to maximize the scheduling of flood storage and diversion, reduce flood diversion pressure, and reduce economic losses in flood control and drainage work. Attached Figure Description

[0054] Figure 1 This is a schematic diagram of the flood zone activation recommendation method according to an embodiment of the present invention;

[0055] Figure 2 This is a schematic diagram of the flood area activation recommendation system of the flood area activation recommendation method described in an embodiment of the present invention;

[0056] Figure 3 This is a flowchart of the recommended method for flood area activation according to an embodiment of the present invention;

[0057] Figure 4 This is a schematic diagram of the flood zone activation recommendation device according to an embodiment of the present invention. Detailed Implementation

[0058] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0059] It should be understood that the phrase "one embodiment" or "an embodiment" throughout the specification means that a specific feature, structure, or characteristic related to the embodiment is included in at least one embodiment of the invention. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments.

[0060] In various embodiments of the present invention, it should be understood that the sequence number of each process described below does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0061] In addition, the terms "system" and "network" are often used interchangeably in this article.

[0062] In the embodiments provided by this invention, it should be understood that "B corresponding to A" means that B is associated with A, and B can be determined based on A. However, it should also be understood that determining B based on A does not mean that B is determined solely based on A; B can also be determined based on A and / or other information.

[0063] For ease of understanding, the following describes some aspects of the embodiments of the present invention:

[0064] like Figure 1 As shown, an embodiment of the present invention provides a flood zone activation recommendation method, which includes:

[0065] S10, based on the flood area information of at least one flood area in the target watershed, obtain the flood area dataset and water volume information of each flood area in the at least one flood area;

[0066] It should be noted that, Figure 3A first example is provided: In step S10, a flood area data sharing platform is constructed to obtain flood area information within the target watershed. Based on the flood area information, the flood areas are assigned unified numbers to obtain a flood area dataset. This dataset is then stored in the flood area data sharing platform. The platform receives real-time alert data and flood forecast data from all flood areas, where the water volume information includes both real-time alert data and flood forecast data. Figure 2 As shown, step S10 is completed by activating the data integration module of the recommendation system in the flood area.

[0067] The flood area information includes historical activation data, standard capacity, and type. Flood area types include detention areas, diversion areas, and storage areas. Based on this information, the flood areas are assigned a unified number to obtain the flood area dataset, denoted as:

[0068] .

[0069] in, Indicates flood area The standard capacity of the flood area Indicates flood area The type of flood area, and =1、 =2 and When the value is 3, it represents the flood detention area, flood diversion area, and flood storage area, respectively. Indicates the flood zone number.

[0070] Flood storage areas can reduce peak flow and decrease the impact of floods on downstream river channels; flood diversion areas divert floods by building dikes and embankments or by utilizing existing natural terrain such as lakes and depressions; flood detention areas usually use natural terrain or artificial facilities to slow down the flow of floods, allowing the floods to remain in the area for a period of time before being slowly discharged.

[0071] S20, based on the flood area dataset and flood area information of each flood area, obtain the activation priority value corresponding to each flood area;

[0072] It should be noted that, in Figure 3 In the first example shown, in step S20, based on the flood area dataset, historical activation data of the flood area is obtained, the historical activation data of the flood area is normalized, and based on the normalized historical activation data of the flood area, the flood area activation priority value is obtained through the flood area assessment model. Figure 2 The priority value evaluation module in the flood area recommendation system completes step S20. This module includes two core units: a weight calculation unit and a priority value calculation unit. The weight calculation unit calculates the weights corresponding to multiple data information about the flood area, and the priority value is calculated on the priority value calculation unit based on the multiple weights.

[0073] S30, based on the flood area dataset and water volume information of each flood area, obtain the flood area risk prediction value corresponding to each flood area;

[0074] It should be noted that, in Figure 3 In the first example shown, in step S30, a flood risk estimate is obtained through analysis based on real-time alert data and flood forecast data. The water volume information includes real-time alert data and flood forecast data, where the real-time alert data is the water volume information within the current flood area, and the flood forecast data is the water volume information within the predicted flood area. Figure 2 Complete step S30 in the risk assessment module of the flood zone recommendation system.

[0075] S40, based on the activation priority value and the flood risk estimate of each flood area, obtain the flood area activation recommendation index corresponding to each flood area;

[0076] It should be noted that, in Figure 3 In the first example shown, in step S40, the flood zone activation recommendation index is obtained by processing the flood zone activation priority value and flood risk assessment value through a recommendation decision model.

[0077] S50, add at least one flood zone whose flood zone activation recommendation index is greater than a first preset threshold to the flood zone activation recommendation list;

[0078] It should be noted that, in Figure 3 In the first example shown, in step S50, a recommended list of flood-area activations is determined based on the flood-area activation recommendation index, and the recommended list is uploaded to the display terminal. Figure 2 Steps S40 and S50 are completed in the optimization scheduling module of the flood area recommendation system.

[0079] In this embodiment, the activation priority value and the flood risk assessment value corresponding to each flood zone are calculated using the flood zone information of at least one flood zone in the target watershed. Then, the flood zone activation recommendation index is calculated, and the flood zones whose flood zone activation recommendation index is greater than the first preset threshold are added to the flood zone activation recommendation list. Thus, the data of each flood diversion zone are combined to obtain the flood zone activation recommendation list. Flood zone activation scheduling can be carried out based on the flood zone activation recommendation list to maximize the scheduling of flood storage and diversion, reduce flood diversion pressure, and reduce economic losses in flood control and drainage work.

[0080] Optionally, the method, wherein step S20 includes:

[0081] Based on the flood area dataset and flood area information for each flood area, obtain the historical activation dataset for each flood area; wherein, the historical activation dataset includes at least one piece of data information when the flood area was activated in the past;

[0082] The historical activation dataset of the flood area is normalized to obtain a normalized historical activation dataset of the flood area; wherein, the normalized historical activation dataset of the flood area includes normalized data information corresponding to each data information in at least one data information in the historical activation dataset of the flood area;

[0083] Based on the standardized flood area historical activation dataset, a standardized redundancy dataset is obtained; wherein, the standardized redundancy dataset includes the redundancy corresponding to each data information in at least one data information in the flood area historical activation dataset;

[0084] Based on the normalized redundancy dataset, a first weight dataset is obtained; wherein, the first weight dataset includes the weight value corresponding to each data information in at least one data information in the historical activation dataset of the flood area;

[0085] The activation priority value is obtained based on the first weighted dataset and the normalized flood area historical activation dataset.

[0086] In this embodiment, based on the flood area dataset, historical activation data of the flood area for the previous i activations of each flood area is obtained. This historical activation data includes flood volume, flood diversion volume, and flood area loss value (i.e., at least one piece of data). The historical activation dataset of the flood area is constructed based on this data, denoted as […]. Where i represents the flood zone The activation sequence number, This indicates the i-th time the flood zone is activated. The amount of floodwater, This indicates the i-th time the flood zone is activated. The flood diversion volume of the flood diversion area This indicates the i-th time the flood zone is activated. The value of flood damage.

[0087] The historical activation dataset of the flood area is normalized to obtain the flood area data in sequence. The standardized flood volume, standardized flood diversion volume, and standardized flood area loss value (i.e., the historical activation dataset of the standardized flood area) are calculated using the following formula:

[0088] .

[0089] in, This indicates the i-th time the flood zone is activated. Standardized flood volume, This indicates the i-th time the flood zone is activated. Standardized flood diversion volume, This indicates the i-th time the flood zone is activated. Standardized flood area loss values, and Representing flood areas The minimum and maximum values ​​of the flood volume. and Representing flood areas The minimum and maximum flood volume of the flood diversion area. and Representing flood areas The minimum and maximum values ​​of flood area loss.

[0090] Based on the standardized flood area historical activation dataset, the redundancy of standardized flood volume is calculated respectively. Standardized flood diversion redundancy Redundancy of standardized flood area loss values Obtain the normalized redundancy dataset, and calculate it using the following formula:

[0091] .

[0092] in, This indicates the m-th activation of the flood zone. Standardized flood volume, This indicates the m-th activation of the flood zone. Standardized flood diversion volume, This indicates the m-th activation of the flood zone. Standardized flood area loss values.

[0093] Flood volume weights are calculated based on the standardized flood volume redundancy, the standardized flood diversion volume redundancy, and the standardized flood diversion loss value redundancy. Flood Diversion Weight Weight of flood zone loss value Based on the normalized redundancy dataset, the first weight dataset is obtained, and the calculation formula is as follows:

[0094] .

[0095] By processing the standardized historical flood zone activation dataset and flood zone dataset using a flood zone assessment model, the flood zone is obtained. The flood zone activation priority value is obtained based on the first weighted dataset and the normalized flood zone historical activation dataset:

[0096] .

[0097] in, Indicates the weight parameter for flood area type. This represents the standardized flood area loss threshold. This indicates the m-th activation of the flood zone. Standardized flood volume, This indicates the m-th activation of the flood zone. Standardized flood diversion volume, This indicates the m-th activation of the flood zone. Standardized flood area loss values.

[0098] The flood volume, flood diversion volume, and flood loss value in the historical flood district activation dataset are normalized to eliminate the influence of different units. The activation priority value is obtained by calculating the normalized historical flood district activation dataset. In this embodiment, the first weighted dataset is determined using the normalized historical flood district activation dataset: normalized flood volume weight, normalized flood diversion volume weight, and normalized flood loss value weight. Based on the i historical flood district activation data for c flood districts, the weights of flood volume, flood diversion volume, and flood loss value are calculated independently. First, the flood districts need to be determined... The proportion of the flood volume during the m-th activation to the total historical activation dataset of all flood areas. The entropy value of the flood volume is calculated based on the proportion of the historical dataset used in the flood area:

[0099] .

[0100] The entropy value of flood volume determines the degree of data variability. A higher entropy value indicates lower data variability, provides less information, and should therefore have a lower weight; conversely, a lower entropy value indicates higher data variability, provides more information, and should therefore have a higher weight. The entropy value calculation formula... It is an adjustment factor used in calculating entropy, representing The average distribution of flood volume data is introduced to ensure that the entropy value of the flood volume is between 0 and 1, thus facilitating subsequent calculations. Based on the entropy value of the flood volume, the normalized flood volume redundancy is obtained. Similarly, the normalized flood zone flood volume redundancy and the normalized flood zone loss value redundancy are obtained. Based on the normalized flood volume redundancy, the normalized flood zone flood volume redundancy, and the normalized flood zone loss value redundancy, the flood volume weights are obtained. Flood Diversion Weight Weight of flood zone loss value This weighting calculation method determines the weights based on the degree of data variation. The calculation process is simple and clear, making it more convenient and efficient in application, and the calculation results are more objective and accurate.

[0101] In this embodiment of the invention, the size of the centralized data in the historical activation dataset of flood areas after normalization remains the same as before processing. The difference between the normalized flood area loss value and the normalized flood area loss threshold is summed. When the sum is positive, it indicates that the flood area loss value at the time of historical activation is within the loss threshold range. The larger the sum, the smaller the flood area loss value and the more stable the loss situation. Therefore, in the flood area assessment model, the higher the flood area activation priority value, the better the flood diversion effect and the higher the flood diversion capacity, indicating a higher flood area activation priority. In this embodiment of the invention, the flood area type weight parameter is obtained by expert evaluation, wherein... The flood zone activation priority value is calculated based on the flood volume, flood diversion volume, and flood zone loss value in the historical activation data of the flood zone. The flood zone activation priority value represents the comprehensive flood diversion capacity of the flood zone. The activation priority value provides data support for the activation of the flood zone, improves the efficiency and accuracy of flood zone activation and scheduling, and reduces economic losses in the flood zone.

[0102] For example, if there are 3 flood zones , and Furthermore, the standardized processing of the historical activation data of the three flood zones for the first three times, and the flood zone... The historical activation data for the flood area includes: standardized flood volume (2, 4, 6), standardized flood diversion volume (3, 3, 4), and standardized flood area loss value (2, 5, 2); Flood area The historical activation data for the flood area includes: standardized flood volume (4, 5, 7), standardized flood diversion volume (3, 5, 6), and standardized flood area loss value (3, 4, 2); Flood area The historical activation data for the flood area includes: standardized flood volume (1, 2, 2), standardized flood diversion volume (2, 3, 2), and standardized flood area loss value (1, 1, 5); the weights of the flood area are calculated. , and The standardized flood area loss threshold is 4, and the flood area type weighting parameters include... , and The flood area was calculated. , and The priority values ​​for flood zone activation are as follows: , and .

[0103] Optionally, the method, wherein obtaining the historical activation dataset for each flood area based on the flood area dataset and flood area information for each flood area includes:

[0104] Based on the flood area dataset for each flood area, obtain the flood area number corresponding to each flood area;

[0105] Based on the flood area information of each flood area, obtain at least one piece of data information corresponding to the historical activation of each flood area.

[0106] Based on the flood zone number and at least one data information of each flood zone, obtain the historical activation dataset corresponding to each flood zone.

[0107] In this embodiment, flood area information includes historical activation data, standard flood area capacity, and flood area type. Flood area types include flood detention areas, flood diversion areas, and flood storage areas. Based on the flood area information, the flood areas are assigned a unified number to obtain a flood area dataset, denoted as:

[0108] .

[0109] in, Indicates flood area The standard capacity of the flood area Indicates flood area The type of flood area, and =1、 =2 and When the value is 3, it represents the flood detention area, flood diversion area, and flood storage area, respectively. This represents the flood zone number. Based on the flood zone dataset, historical activation data for the i previous activations of each flood zone is obtained. This historical activation data includes flood volume, flood diversion volume, and flood zone loss value. A historical activation dataset for the flood zone is constructed based on this historical activation data, denoted as [data missing]. Where i represents the flood zone The activation sequence number, This indicates the i-th time the flood zone is activated. The amount of floodwater, This indicates the i-th time the flood zone is activated. The flood diversion volume of the flood diversion area This indicates the i-th time the flood zone is activated. The value of flood damage.

[0110] Optionally, in the method, the historical flood data set includes at least one of flood volume, flood diversion volume, and flood loss value.

[0111] The standardized flood area historical activation dataset includes at least one of the following: standardized flood volume, standardized flood diversion volume, and standardized flood area loss value;

[0112] The normalized redundancy dataset includes at least one of normalized flood volume redundancy, normalized flood diversion volume redundancy, and normalized flood diversion loss value redundancy;

[0113] The first weighted dataset includes at least one of the following: flood volume weight, flood zone flood volume weight, and flood zone loss value weight.

[0114] In this embodiment, the historical flood data set includes flood volume. Flood diversion volume Flood area loss value The standardized flood area historical activation dataset includes standardized flood volumes. Standardized flood diversion volume and standardized flood area loss values The normalized redundancy dataset includes normalized flood volume redundancy. Standardized flood diversion redundancy Redundancy of standardized flood area loss values The first weighted dataset includes flood volume weights. Flood Diversion Weight Weight of flood zone loss value .

[0115] Optionally, the method, wherein step S30 includes:

[0116] Based on the water volume information of each flood area, obtain the current water volume information and the expected water volume information of the flood area at the first preset time in the future for each flood area;

[0117] For each flood area, feature extraction is performed on the current flood area water volume information and the expected flood area water volume information to obtain the current flood area water volume feature value and the expected flood area water volume feature value corresponding to each flood area.

[0118] Feature extraction is performed on the standard flood capacity of each flood area to obtain the standard flood capacity feature value corresponding to each flood area; wherein, the flood area dataset includes the standard flood capacity;

[0119] Based on the current water volume characteristic value, the expected water volume characteristic value, and the standard capacity characteristic value of each flood area, the flood area risk prediction value corresponding to each flood area is obtained.

[0120] In this embodiment, feature extraction is performed on the water volume information in the current flood area and the water volume information in the predicted flood area to obtain the water volume feature value in the current flood area corresponding to each flood area. and the characteristic values ​​of water volume in the expected flood area For the standard capacity of the flood area Feature extraction is performed to obtain the standard capacity characteristic value of the flood area. Based on the characteristic values ​​of water volume within the flood area and the characteristic values ​​of the predicted flood volume, the flood area is calculated using the following formula. The characteristic values ​​of the remaining flood diversion capacity and the characteristic values ​​of the expected total water volume.

[0121] .

[0122] in, Indicates flood area The characteristic value of the remaining flood diversion capacity, Indicates flood area The expected total water volume characteristic value;

[0123] According to the flood area Calculate the characteristic values ​​of the remaining flood diversion capacity and the expected total water volume in the flood area. Flood risk estimate:

[0124] .

[0125] in, Risk estimate for the flood area.

[0126] The water volume information mentioned above refers to the current water volume information within the flood area, which is obtained using satellite remote sensing technology to acquire information on the surface cover and water body distribution of the flood area. The water area and volume are extracted using image processing and analysis software. The predicted water volume information within the flood area refers to the estimated flood volume expected to reach the flood area. Based on the flood area dataset, the standard capacity characteristic value of the flood area is known. Based on the standard capacity characteristic value, the remaining flood diversion capacity characteristic value, and the predicted total water volume characteristic value, the flood risk prediction value is calculated. The larger the value, the greater the expected total water volume, indicating that it far exceeds the remaining flood diversion capacity of the flood area, and thus the greater the flood risk. In this embodiment of the invention, The value is used as the flood risk estimate, realizing the calculation of flood risk estimate in the flood area. Based on the remaining flood diversion volume and the expected flood volume in the flood area, the flood risk estimate is judged, which improves the efficiency of flood risk assessment in the flood area.

[0127] For example, flood areas of , and If they are 5, 2, and 4 respectively, then ; Flood area of , and If the values ​​are 4, 1, and 6 respectively, then... ; Flood area of , and If they are 3, 2, and 5 respectively, then .

[0128] Optionally, the method, wherein obtaining the flood risk estimate for each flood area based on the flood area water volume characteristic value, the predicted flood area water volume characteristic value, and the flood area standard capacity characteristic value, includes:

[0129] Based on the current water volume characteristic value and the standard capacity characteristic value of each flood area, the remaining flood diversion capacity characteristic value corresponding to each flood area is obtained;

[0130] Based on the remaining flood diversion capacity characteristic value and the expected water volume characteristic value within each flood area, the expected total water volume characteristic value corresponding to each flood area is obtained;

[0131] Based on the remaining flood diversion capacity characteristic value and the expected total water volume characteristic value of each flood area, the flood area risk prediction value corresponding to each flood area is obtained.

[0132] In this embodiment, the flood area is calculated using the following formula. The characteristic values ​​of the remaining flood diversion capacity and the characteristic values ​​of the expected total water volume.

[0133] .

[0134] in, Indicates flood area The characteristic value of the remaining flood diversion capacity, Indicates flood area The expected total water volume characteristic value;

[0135] According to the flood area Calculate the characteristic values ​​of the remaining flood diversion capacity and the expected total water volume in the flood area. Flood risk estimate:

[0136] .

[0137] in, Risk estimate for the flood area.

[0138] Optionally, the method, wherein step S40 includes:

[0139] The activation recommendation index for each flood area is obtained by adding the product of the activation priority value and the first weight value for each flood area and the product of the flood area risk estimate and the second weight value; wherein the first weight value and the second weight value are both preset values.

[0140] In this embodiment, the flood zone activation priority value and the flood risk estimate are used to calculate the flood zone using a recommendation decision model. The recommended index for the flood area is used, and the recommended decision model is expressed as follows:

[0141] .

[0142] in, Indicates flood area The recommended index is activated in the flood area. and Both represent weight parameters.

[0143] Optionally, the method, wherein step S50 includes:

[0144] The flood areas in at least one flood area whose flood area activation recommendation index is greater than the first preset threshold are identified as flood areas to be recommended.

[0145] The flood areas to be recommended are sorted in descending order according to their corresponding flood area recommendation indices to obtain a flood area sequence.

[0146] A flood zone activation recommendation list is generated based on the flood zone number of each flood zone to be recommended in the flood zone sequence; wherein, the flood zone dataset includes the flood zone number.

[0147] In this embodiment, flood areas whose flood area activation recommendation index is greater than the first preset threshold are identified as flood areas to be recommended. Based on the flood area activation recommendation index, the flood areas are sorted in descending order to obtain a flood area sequence. A flood area activation recommendation list is generated based on the flood area numbers in the sequence. The flood area activation recommendation index is obtained through joint analysis of the flood area activation priority value and the flood risk prediction value. The flood area activation recommendation list is generated based on the flood area activation recommendation index. Flood area activation scheduling can be carried out based on the flood area activation recommendation list, which is beneficial for the early evacuation and relocation of people in flood areas, ensuring the safety of people's property and reducing economic losses in flood control and drainage work.

[0148] For example, the weighting parameters are determined by expert opinions. and Flood risk estimates include , and The priority values ​​for activation in flood-prone areas are: , and ,but , and The preset threshold is 2.24. Based on the flood area activation recommendation index, the flood areas are sorted in descending order to obtain a flood area sequence. A flood area activation recommendation list is then generated based on the flood area numbers in the flood area sequence. .

[0149] Optionally, the method further includes:

[0150] The recommended list of flood-area activations is uploaded to the user's display terminal for flood-area activation scheduling.

[0151] In this embodiment, a recommended list of flood-area activations is determined based on the flood-area activation recommendation index, and this list is uploaded to a display terminal. The flood-area activation recommendation list is generated based on the flood-area activation recommendation index. Flood-area activation scheduling can be carried out based on this list, which is beneficial for the early evacuation and relocation of people within flood-area areas, ensuring the safety of people's property and reducing economic losses in flood control and drainage work. Affected by factors such as climate change, changes in the underlying surface of watersheds, and economic and social development, floods are frequent and their impact area is constantly expanding. How to efficiently and accurately monitor and warn of flood disasters has become a focus of social concern. Therefore, this embodiment of the invention has the following advantages:

[0152] 1. Flood prevention and disaster reduction: Through data sharing and real-time alarm processing, flood disasters can be monitored and warned more effectively, thereby improving the efficiency and accuracy of disaster prevention and mitigation.

[0153] 2. Significant Market Expansion Potential: With the acceleration of global climate change and urbanization, flood disasters are becoming more frequent and their impact is expanding, leading to a growing demand for flood area activation recommendation systems. This invention can meet the needs of various sectors, including government, water resources departments, meteorological departments, and environmental protection departments, for flood area activation recommendation systems, thus possessing broad market expansion potential.

[0154] 3. Reduced Costs and Increased Efficiency: Data sharing and integrated processing can reduce monitoring and early warning costs while improving processing efficiency and accuracy. This helps enhance the operational efficiency and market competitiveness of relevant enterprises and research institutions.

[0155] 4. Technological Advancement and Industrial Upgrading: With the continuous development of high-tech such as big data, cloud platforms, and artificial intelligence, the deep integration of these technologies with the water conservancy industry will promote technological innovation and industrial upgrading of the flood area activation recommendation system, which will further enhance the commercial value and market prospects of the embodiments of this invention.

[0156] 5. Integrated Flood Control and Sustainable Development: The application of this invention helps to realize the digitalization, intelligentization, refinement, sharing, distribution, and informatization of the operation and scheduling of river basin reservoir groups, promoting the efficient utilization and sustainable development of flood resources. This aligns with global trends and requirements for sustainable development; therefore, this invention has broad social value and market prospects.

[0157] like Figure 4As shown, to achieve the above objectives, embodiments of the present invention provide a flood zone activation recommendation device, comprising:

[0158] The first acquisition module 401 is used to acquire the flood data set and water volume information of each flood area in the at least one flood area of ​​the target watershed based on the flood area information of at least one flood area.

[0159] The second acquisition module 402 is used to acquire the activation priority value corresponding to each flood area based on the flood area dataset and flood area information of each flood area;

[0160] The third acquisition module 403 is used to acquire the flood risk estimate corresponding to each flood area based on the flood area dataset and the water volume information of each flood area.

[0161] The fourth acquisition module 404 is used to acquire the flood zone activation recommendation index corresponding to each flood zone based on the activation priority value and the flood zone risk prediction value of each flood zone;

[0162] The first processing module 405 is used to add at least one flood area whose flood area activation recommendation index is greater than a first preset threshold to the flood area activation recommendation list.

[0163] Optionally, in the aforementioned apparatus, the second acquisition module 402 includes:

[0164] The first acquisition unit is used to acquire the historical activation dataset of each flood area based on the flood area dataset and flood area information of each flood area; wherein the historical activation dataset of the flood area includes at least one piece of data information when the flood area was activated in history;

[0165] The second acquisition unit is used to perform normalization processing on the historical activation dataset of the flood area to obtain a normalized historical activation dataset of the flood area; wherein, the normalized historical activation dataset of the flood area includes normalized data information corresponding to each data information in at least one data information in the historical activation dataset of the flood area;

[0166] The third acquisition unit is used to acquire a normalized redundancy dataset based on the normalized flood area historical activation dataset; wherein, the normalized redundancy dataset includes the redundancy corresponding to each data information in at least one data information in the flood area historical activation dataset;

[0167] The fourth acquisition unit is used to acquire a first weight dataset based on the normalized redundancy dataset; wherein the first weight dataset includes the weight value corresponding to each data information in at least one data information in the flood area historical activation dataset;

[0168] The fifth acquisition unit is used to acquire the activation priority value based on the first weighted dataset and the normalized flood area historical activation dataset.

[0169] Optionally, in the apparatus, the first acquiring unit includes:

[0170] The first acquisition component is used to acquire the flood zone number corresponding to each flood zone based on the flood zone dataset for each flood zone;

[0171] The second acquisition component is used to acquire at least one piece of data information corresponding to the historical activation of each flood area based on the flood area information of each flood area.

[0172] The third acquisition component is used to acquire the historical activation dataset of each flood area based on the flood area number of each flood area and the at least one data information.

[0173] Optionally, in the aforementioned apparatus, the historical flood zone activation dataset includes at least one of flood volume, flood diversion volume, and flood zone loss value;

[0174] The standardized flood area historical activation dataset includes at least one of the following: standardized flood volume, standardized flood diversion volume, and standardized flood area loss value;

[0175] The normalized redundancy dataset includes at least one of normalized flood volume redundancy, normalized flood diversion volume redundancy, and normalized flood diversion loss value redundancy;

[0176] The first weighted dataset includes at least one of the following: flood volume weight, flood zone flood volume weight, and flood zone loss value weight.

[0177] Optionally, in the aforementioned apparatus, the third acquisition module 403 includes:

[0178] The sixth acquisition unit is used to acquire the current water volume information and the expected water volume information of the flood area at a first preset time for each flood area based on the water volume information of each flood area.

[0179] The seventh acquisition unit is used to extract features from the current flood volume information and the expected flood volume information of each flood area, and to obtain the current flood volume feature value and the expected flood volume feature value corresponding to each flood area.

[0180] The eighth acquisition unit is used to extract features from the standard flood capacity of each flood area to obtain the standard flood capacity feature value corresponding to each flood area; wherein, the flood area dataset includes the standard flood capacity;

[0181] The ninth acquisition unit is used to acquire the flood risk estimate corresponding to each flood area based on the current flood area water volume characteristic value, the expected flood area water volume characteristic value, and the flood area standard capacity characteristic value of each flood area.

[0182] Optionally, in the aforementioned apparatus, the ninth acquisition unit comprises:

[0183] The fourth acquisition component is used to acquire the remaining flood diversion capacity characteristic value corresponding to each flood area based on the current flood area water volume characteristic value and the standard capacity characteristic value of each flood area.

[0184] The fifth acquisition component is used to acquire the expected total water volume characteristic value corresponding to each flood area based on the remaining flood diversion capacity characteristic value and the expected water volume characteristic value in each flood area;

[0185] The sixth acquisition component is used to acquire the flood risk estimate corresponding to each flood area based on the remaining flood diversion capacity characteristic value and the expected total water volume characteristic value of each flood area.

[0186] Optionally, in the aforementioned apparatus, the fourth acquisition module 404 includes:

[0187] The tenth acquisition unit is used to add the product of the activation priority value and the first weight value of each flood area and the product of the flood area risk estimate and the second weight value to obtain the flood area activation recommendation index corresponding to each flood area; wherein, the first weight value and the second weight value are both preset values.

[0188] Optionally, in the aforementioned apparatus, the fourth acquisition module 404 includes:

[0189] The first determining unit is used to determine at least one flood area whose flood area activation recommendation index is greater than the first preset threshold as a flood area to be recommended.

[0190] The eleventh acquisition unit is used to sort the flood areas to be recommended in descending order according to the corresponding flood area activation recommendation index, and obtain the flood area sequence.

[0191] The first generation unit is configured to generate the flood zone enable recommendation list based on the flood zone number of each flood zone to be recommended in the flood zone sequence; wherein the flood zone dataset includes the flood zone number.

[0192] Optionally, the device further includes:

[0193] The second processing module is used to upload the recommended list of flood areas to the user's display terminal for flood area activation scheduling.

[0194] It should be noted that the apparatus provided in this embodiment of the invention can implement all the method steps implemented in the above method embodiment and can achieve the same technical effect. Therefore, the parts and beneficial effects that are the same as those in the method embodiment will not be described in detail here.

[0195] To achieve the above objectives, embodiments of the present invention provide an electronic device, including: a transceiver, a processor, a memory, and a program or instructions stored in the memory and executable on the processor; wherein, when the processor executes the program or instructions, it implements the flood zone activation recommended method as described above.

[0196] To achieve the above objectives, embodiments of the present invention provide a readable storage medium having a program or instructions stored thereon, wherein the program or instructions, when executed by a processor, implement the steps in the recommended flood zone activation method as described above.

[0197] To achieve the above objectives, embodiments of the present invention provide a computer program product, comprising computer instructions that, when executed by a processor, implement the steps of the flood zone activation recommendation method as described above.

[0198] It should be further noted that the electronic devices described in this specification include, but are not limited to, smartphones, tablets, etc., and many of the described functional components are referred to as modules in order to more specifically emphasize the independence of their implementation.

[0199] In this embodiment of the invention, the module can be implemented in software so that it can be executed by various types of processors. For example, an identified executable code module may include one or more physical or logical blocks of computer instructions, which may be constructed as objects, procedures, or functions. Nevertheless, the executable code of the identified module does not need to be physically located together, but may include different instructions stored in different bits, which, when logically combined, constitute the module and achieve the module's intended purpose.

[0200] In practice, an executable code module can be a single instruction or many instructions, and can even be distributed across multiple different code segments, different programs, and across multiple memory devices. Similarly, operational data can be identified within the module and can be implemented in any suitable form and organized within any suitable data structure. This operational data can be collected as a single dataset or distributed across different locations (including different storage devices), and can exist, at least in part, solely as electronic signals within the system or network.

[0201] When a module can be implemented using software, considering the current level of hardware technology, modules that can be implemented in software can be implemented using hardware circuits by those skilled in the art to achieve the corresponding functions, without considering cost. These hardware circuits include conventional very-large-scale integrated circuits (VLSI) or gate arrays, as well as existing semiconductors such as logic chips and transistors, or other discrete components. Modules can also be implemented using programmable hardware devices, such as field-programmable gate arrays, programmable array logic, and programmable logic devices.

[0202] The exemplary embodiments described above are with reference to the accompanying drawings. Many different forms and embodiments are feasible without departing from the spirit and teachings of the invention. Therefore, the invention should not be construed as limiting the exemplary embodiments set forth herein. Rather, these exemplary embodiments are provided to make the invention complete and convey the scope of the invention to those skilled in the art. In these drawings, component dimensions and relative dimensions may be exaggerated for clarity. The terminology used herein is for the purpose of describing particular exemplary embodiments only and is not intended to be limiting. As used herein, unless clearly indicated otherwise, the singular forms “a,” “an,” and “the” are intended to include all such forms. It will be further understood that the terms “comprising” and / or “including”, when used in this specification, indicate the presence of the stated features, integers, steps, operations, components, and / or elements, but do not exclude the presence or addition of one or more other features, integers, steps, operations, components, and / or groups thereof. Unless otherwise indicated, when stated, a range of values ​​includes the upper and lower limits of the range and any subranges in between.

[0203] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A recommended method for activating flood control measures, characterized in that, include: Based on the flood district information of at least one flood district in the target watershed, obtain the flood district dataset and water volume information for each of the at least one flood district; Based on the flood area dataset and flood area information for each flood area, obtain the activation priority value corresponding to each flood area; Based on the flood area dataset and water volume information for each flood area, obtain the flood area risk estimate for each flood area; Based on the activation priority value and the flood risk estimate of each flood area, obtain the flood area activation recommendation index corresponding to each flood area; Add at least one flood zone whose flood zone activation recommendation index is greater than a first preset threshold to the flood zone activation recommendation list.

2. The method according to claim 1, characterized in that, Based on the flood district dataset and flood district information for each flood district, obtain the activation priority value corresponding to each flood district, including: Based on the flood area dataset and flood area information for each flood area, obtain the historical activation dataset for each flood area; wherein, the historical activation dataset includes at least one piece of data information when the flood area was activated in the past; The historical activation dataset of the flood area is normalized to obtain a normalized historical activation dataset of the flood area; wherein, the normalized historical activation dataset of the flood area includes normalized data information corresponding to each data information in at least one data information in the historical activation dataset of the flood area; Based on the standardized flood area historical activation dataset, a standardized redundancy dataset is obtained; wherein, the standardized redundancy dataset includes the redundancy corresponding to each data information in at least one data information in the flood area historical activation dataset; Based on the normalized redundancy dataset, a first weight dataset is obtained; wherein, the first weight dataset includes the weight value corresponding to each data information in at least one data information in the historical activation dataset of the flood area; The activation priority value is obtained based on the first weighted dataset and the normalized flood area historical activation dataset.

3. The method according to claim 2, characterized in that, Based on the flood district dataset and flood district information for each flood district, obtain the historical activation dataset for each flood district, including: Based on the flood area dataset for each flood area, obtain the flood area number corresponding to each flood area; Based on the flood area information of each flood area, obtain at least one piece of data information corresponding to the historical activation of each flood area. Based on the flood zone number and at least one data information of each flood zone, obtain the historical activation dataset corresponding to each flood zone.

4. The method according to claim 2, characterized in that, The historical flood data set includes at least one of the following: flood volume, flood diversion volume, and flood loss value. The standardized flood area historical activation dataset includes at least one of the following: standardized flood volume, standardized flood diversion volume, and standardized flood area loss value; The normalized redundancy dataset includes at least one of normalized flood volume redundancy, normalized flood diversion volume redundancy, and normalized flood diversion loss value redundancy; The first weighted dataset includes at least one of the following: flood volume weight, flood zone flood volume weight, and flood zone loss value weight.

5. The method according to claim 1, characterized in that, Based on the flood area dataset and water volume information for each flood area, obtain the flood area risk prediction value corresponding to each flood area, including: Based on the water volume information of each flood area, obtain the current water volume information and the expected water volume information of the flood area at the first preset time in the future for each flood area; For each flood area, feature extraction is performed on the current flood area water volume information and the expected flood area water volume information to obtain the current flood area water volume feature value and the expected flood area water volume feature value corresponding to each flood area. Feature extraction is performed on the standard flood capacity of each flood area to obtain the standard flood capacity feature value corresponding to each flood area; wherein, the flood area dataset includes the standard flood capacity; Based on the current water volume characteristic value, the expected water volume characteristic value, and the standard capacity characteristic value of each flood area, the flood area risk prediction value corresponding to each flood area is obtained.

6. The method according to claim 5, characterized in that, Based on the water volume characteristic value within each flood area, the predicted water volume characteristic value within the flood area, and the standard capacity characteristic value of the flood area, the flood risk prediction value corresponding to each flood area is obtained, including: Based on the current water volume characteristic value and the standard capacity characteristic value of each flood area, the remaining flood diversion capacity characteristic value corresponding to each flood area is obtained; Based on the remaining flood diversion capacity characteristic value and the expected water volume characteristic value within each flood area, the expected total water volume characteristic value corresponding to each flood area is obtained; Based on the remaining flood diversion capacity characteristic value and the expected total water volume characteristic value of each flood area, the flood area risk prediction value corresponding to each flood area is obtained.

7. The method according to claim 1, characterized in that, Based on the activation priority value and flood risk estimate of each flood area, obtain the flood area activation recommendation index corresponding to each flood area, including: The activation recommendation index for each flood area is obtained by adding the product of the activation priority value and the first weight value for each flood area and the product of the flood area risk estimate and the second weight value; wherein the first weight value and the second weight value are both preset values.

8. The method according to claim 1, characterized in that, Add at least one flood zone whose flood zone activation recommendation index is greater than a first preset threshold to the flood zone activation recommendation list, including: The flood areas in at least one flood area whose flood area activation recommendation index is greater than the first preset threshold are identified as flood areas to be recommended. The flood areas to be recommended are sorted in descending order according to their corresponding flood area recommendation indices to obtain a flood area sequence. A flood zone activation recommendation list is generated based on the flood zone number of each flood zone to be recommended in the flood zone sequence; wherein, the flood zone dataset includes the flood zone number.

9. The method according to claim 1, characterized in that, After adding at least one flood zone whose flood zone activation recommendation index is greater than a first preset threshold to the flood zone activation recommendation list, the method further includes: The recommended list of flood-area activations is uploaded to the user's display terminal for flood-area activation scheduling.

10. A flood zone activation recommendation device, characterized in that, include: The first acquisition module is used to acquire the flood data set and water volume information of each flood area in the at least one flood area of ​​the target watershed based on the flood area information of at least one flood area. The second acquisition module is used to acquire the activation priority value corresponding to each flood area based on the flood area dataset and flood area information of each flood area; The third acquisition module is used to acquire the flood risk estimate corresponding to each flood area based on the flood area dataset and the water volume information of each flood area. The fourth acquisition module is used to acquire the flood zone activation recommendation index corresponding to each flood zone based on the activation priority value and the flood zone risk prediction value of each flood zone; The first processing module is used to add at least one flood area whose flood area activation recommendation index is greater than a first preset threshold to the flood area activation recommendation list.

11. An electronic device, comprising: A transceiver, a processor, a memory, and a program or instructions stored in the memory and executable on the processor; characterized in that, when the processor executes the program or instructions, it implements the recommended flood zone activation method as described in any one of claims 1-9.

12. A readable storage medium having a program or instructions stored thereon, characterized in that, When the program or instructions are executed by the processor, they implement the steps in the recommended flood zone activation method as described in any one of claims 1-9.

13. A computer program product, characterized in that, Includes computer instructions that, when executed by a processor, implement the steps of the flood zone activation recommendation method as described in any one of claims 1-9.

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