Fish blocking electric grid design and arrangement method based on water conservancy condition analysis

Abstract

The invention discloses a fish blocking electric grid design and arrangement method based on water conservancy condition analysis, and relates to the technical field of water conservancy project equipment. The fish blocking electric grid design and arrangement method based on water conservancy condition analysis comprises the following steps of obtaining a water conservancy condition change index, executing first arrangement regulation and control, obtaining a change trend similarity index and executing second arrangement regulation and control. The water conservancy condition change index is obtained through the water conservancy data and the reference water conservancy data, the water conservancy condition analysis index is obtained based on the water conservancy condition change index, and the water conservancy condition analysis index is compared with the water conservancy threshold value to judge whether to execute the first arrangement regulation or not; a change trend similarity index is obtained according to the water conservancy data and the historical water conservancy data, and is compared with a change trend threshold value to judge whether to execute second arrangement regulation or not, so that the effect of more accurately designing and arranging the fish blocking electric grid is achieved; the problem that in the prior art, water conservancy condition analysis is not accurate in the fish blocking electric grid design and arrangement process is solved.

Description

Technical Field

[0001] This invention relates to the field of water conservancy engineering equipment, and in particular to a method for designing and arranging fish-blocking electric fences based on water conservancy condition analysis. Background Technology

[0002] With the widespread construction of water conservancy projects, especially in facilities such as dams, irrigation canals, and pumping stations, effectively protecting aquatic ecosystems has become a crucial issue. Fish barriers, as an ecological protection device, guide or prevent fish from entering unsuitable areas through an electric field, playing a key role in reducing accidental entry and injury to fish. Based on water conditions analysis, the design of fish barriers must consider factors such as water flow velocity, water depth, and flow fluctuations to ensure their stability and effectiveness in complex aquatic environments. Simultaneously, the electrode arrangement and electric field strength of the barrier should be optimized in conjunction with the behavioral characteristics of different fish species to avoid harming non-target fish species. Through scientific design and deployment, fish barriers can not only effectively protect fish resources but also ensure the safe operation of water conservancy facilities.

[0003] Existing electric fish barriers primarily utilize electrodes placed in water to create an electric field, guiding or preventing fish from entering specific areas. This technology is widely used in dams, water diversion projects, and fish protection facilities. During the design process, the effectiveness of the barriers is often ensured under different water depths and flow velocities by adjusting the electric field strength and electrode arrangement. However, existing technologies still face many challenges in practical applications. For example, uneven distribution of the electric field under different hydraulic conditions can lead to unstable barrier performance. Furthermore, changes in water flow can affect the barrier's effectiveness. Therefore, existing technologies are gradually evolving towards intelligent and automated systems, using sensors to monitor hydraulic conditions in real time and dynamically adjust the electric field strength and arrangement to improve fish-blocking effectiveness and system safety.

[0004] For example, patent application CN117926749A discloses an environmental change-sensing fish-blocking electric fence device and its usage method, including: an upper fish-blocking plate, on both sides of which two fixing plates are fixedly installed. The advantage of this invention is that when the buoyancy plate needs to be deployed, the fixed sliding plate is aligned with the mounting groove and mounting rail for sliding installation, thereby fixing the fixed sliding plate inside the mounting groove and mounting rail. When the buoyancy plate needs to be retracted, the fixed sliding plate slides out of the mounting rail, and simultaneously the control block is pulled to retract the moving block into the moving groove, allowing the retracting block to enter the retracting groove. Then, the tension on the control block is released, and the spring pushes the moving block out of the moving groove and into the retracting block, fixing the position of the retracting block. This allows the buoyancy plate of the fish-blocking electric fence to be retracted and deployed.

[0005] For example, the invention patent announcement No. CN105672190B announces a kind of reservoir dam front fish blocking warning cable structure, including: warning cable structure, reservoir surface floating body structure, fish blocking electric fence structure and effect observation system, warning cable structure includes main cable, auxiliary cable, support structure, cable saddle and anchor, cable saddle is set in the top of support structure, main cable, auxiliary cable is connected with anchor through cable saddle;Reservoir surface floating body structure includes float and its fixed bolt, fixed bolt is fixed on main cable and auxiliary cable respectively;Fish blocking electric fence structure is to set electrode array on fish blocking warning cable section to form electric field;Effect observation system is to use sounder or ultrasonic wave to be set in main cable and auxiliary cable, for the fish blocking effect of fish blocking warning cable section and surrounding water area is observed.

[0006] But in the process of implementing the technical scheme of the embodiments of the present application, it is found that the above-mentioned technology at least has the following technical problems:

[0007] In the prior art, under complex hydrological conditions, the electric fence design cannot well adapt to the actual water flow environment and timely take corresponding measures, and there is a problem that the water conservancy condition analysis in the fish blocking electric fence design and arrangement process is not accurate. SUMMARY

[0008] The embodiments of the present application provide a fish blocking electric fence design and arrangement method based on water conservancy condition analysis, which solves the problem of inaccurate water conservancy condition analysis in the fish blocking electric fence design and arrangement process in the prior art, and realizes more accurate fish blocking electric fence design and arrangement.

[0009] The embodiments of the present application provide a fish blocking electric fence design and arrangement method based on water conservancy condition analysis, which includes the following steps: obtaining water conservancy condition change index from water conservancy data obtained by water conservancy condition detection equipment and reference water conservancy data obtained from a preset database, and obtaining water conservancy condition analysis index based on the water conservancy condition change index, the water conservancy condition analysis index is used to quantify the applicability of the initial fish blocking electric fence arrangement method;Compare the water conservancy condition analysis index with the water conservancy threshold value obtained from the preset database to determine whether to execute the first arrangement control, the first arrangement control represents regulating the fish blocking electric fence arrangement according to the changed water conservancy condition;Obtain change trend similarity index from water conservancy data and historical water conservancy data, the change trend similarity index is used to quantify the approaching degree of the change trend of water conservancy condition to the preset extreme situation;Compare the change trend similarity index with the change trend threshold value to determine whether to take corresponding second arrangement control, the second arrangement control represents regulating the fish blocking electric fence arrangement according to the extreme situation of water conservancy condition.

[0010] Further, the water conservancy condition detection equipment includes Doppler current meter, radar water level gauge, temperature recorder, sediment monitor and conductivity meter;The water conservancy data includes water flow velocity, water depth, water temperature, water turbidity and water conductivity.

[0011] Further, the specific acquisition process of the water conservancy condition change index is as follows: real-time acquisition of water conservancy data of a preset number of preset time points, and numbering of the preset time points; comparison of the water flow speed of the preset time points with the reference water flow speed interval obtained from the preset database, if the water flow speed of the preset time points belongs to the reference water flow speed interval, then the water speed index is obtained according to the water flow speed of the preset time points and the reference water flow speed interval, otherwise the corresponding water speed index is recorded as 1, the reference water flow speed interval includes the minimum water flow speed and the maximum water flow speed, the water speed index is the result of the tangent hyperbolic operation of the difference value between the water flow speed of the preset time points and the minimum water flow speed and the ratio of the maximum water flow speed and the minimum water flow speed, the water speed index is used to quantify the change degree of the water flow speed of the corresponding preset time points; comparison of the water depth of the preset time points with the initial water depth obtained from the preset database, if the water depth of the preset time points is not less than the initial water depth, then the water depth deviation is obtained according to the water depth of the preset time points and the initial water depth, and the water depth index is obtained according to the water depth deviation, otherwise the corresponding water depth index is recorded as 0, the water depth index is the result of the logarithmic operation of the sum of the ratio of the difference value between the water depth of the preset time points and the initial water depth and the initial water depth and 1, the water depth index is used to quantify the change degree of the water depth of the corresponding preset time points; comparison of the water temperature of the preset time points with the reference water temperature interval obtained from the preset database, if the water temperature of the preset time points belongs to the reference water temperature interval, then the water temperature index is obtained according to the water temperature of the preset time points and the minimum water temperature and the maximum water temperature, otherwise the corresponding water temperature index is recorded as 1, the reference water temperature interval includes the minimum water temperature and the maximum water temperature, the water temperature index is the result of the tangent hyperbolic operation of the difference value between the water temperature of the preset time points and the minimum water temperature and the ratio of the maximum water temperature and the minimum water temperature, the water temperature index is used to quantify the change degree of the water temperature of the corresponding preset time points; comparison of the water turbidity of the preset time points with the water turbidity limit value obtained from the preset database, if the water turbidity of the preset time points is not greater than the water turbidity limit value, then the water turbidity index is obtained according to the water turbidity of the preset time points and the water turbidity limit, otherwise the corresponding water turbidity index is recorded as 1, the water turbidity index is the result of the tangent hyperbolic operation of the difference value between the water turbidity limit value and the water turbidity of the preset time points and the ratio of the water turbidity limit value, the water turbidity index is used to quantify the change degree of the water turbidity of the corresponding preset time points.The water body conductivity at the preset time point is compared with a reference conductivity interval obtained from a preset database. If the water body conductivity at the preset time point belongs to the reference conductivity interval, a conductivity index is obtained according to the water body conductivity at the preset time point, a minimum conductivity value and a maximum conductivity value. Otherwise, the corresponding conductivity index is recorded as 1. The reference conductivity interval includes the minimum conductivity value and the maximum conductivity value. The conductivity index is a result of hyperbolic tangent operation on a ratio of a difference between the water body conductivity at the preset time point and the minimum conductivity value to a difference between the maximum conductivity value and the minimum conductivity value. The conductivity index is used to quantify a change degree of the water body conductivity at the corresponding preset time point. The reference water conservancy data includes a reference water flow velocity interval, an initial water depth, a reference water temperature interval, a water body turbidity limit value and the reference conductivity interval. The water conservancy condition change index includes a water speed index, a water depth index, a water temperature index, a water turbidity index and the conductivity index.

[0012] Further, the method for obtaining the water conservancy condition analysis index according to the water conservancy condition change index is as follows: water conservancy condition change weights corresponding to the water conservancy condition change index are obtained from a preset database. The water conservancy condition change weights include a water speed weight, a water depth weight, a water temperature weight, a water turbidity weight and a conductivity weight. A sum operation is performed on a multiplication operation result of the water conservancy condition change index and the water conservancy condition change weights to obtain an index change total value. A hyperbolic secant operation and an exponential operation are performed on the index change total value to obtain the water conservancy condition analysis index. A numerical expression of the water conservancy condition analysis index is specifically as follows:

[0013]

[0014] In the formula, WSI represents the water speed index of the nth preset time point, WDI represents the water depth index of the nth preset time point, WTI represents the water temperature index of the nth preset time point, WTI represents the water temperature index of the nth preset time point, WTI represents the water temperature index of the nth preset time point, CTI represents the conductivity index of the nth preset time point, γ1 represents the water speed weight, γ2 represents the water depth weight, γ3 represents the water temperature weight, γ4 represents the water turbidity weight, and γ5 represents the conductivity weight. WAI n WAI represents the water conservancy condition analysis index of the nth preset time point, and e represents a natural constant.

[0015] Further, the specific process of comparing the water condition analysis index with the water threshold value obtained from the preset database to determine whether to execute the first arrangement control is: if the water condition analysis index is less than the water threshold value, the fish blocking electric fence arrangement control is not executed; if the water condition analysis index is not less than the water threshold value, the first arrangement control is adopted; the specific process of adopting the first arrangement control is: comparing the water depth with the initial water depth; if the water depth is greater than the initial water depth, the height of the fish blocking electric fence electrode is increased and the spacing of the fish blocking electric fence electrode is reduced; if the water depth is not greater than the initial water depth, the spacing of the fish blocking electric fence electrode is reduced.

[0016] Further, the specific process of increasing the height of the fish blocking electric fence electrode is as follows: obtaining the water depth and the initial water depth, the initial water depth representing the water depth at the first preset time point; performing difference operation on the water depth at the preset time point and the initial water depth to obtain the water depth difference, the water depth difference representing the difference between the water depth and the initial water depth; increasing the height of the fish blocking electric fence electrode in the corresponding preset time point according to the corresponding height increase of the water depth difference.

[0017] Further, the specific steps of reducing the spacing of the fish blocking electric fence electrode are as follows: step one, obtaining the target electric field intensity, the target electric field intensity representing the fish tolerance electric field intensity obtained by consulting literature; step two, substituting the target electric field intensity and the electric fence power supply voltage into the electric field intensity formula to obtain the target electrode spacing; step three, performing difference operation on the current electrode spacing and the target electrode spacing to obtain the reduced spacing of the fish blocking electric fence electrode.

[0018] Further, the process of obtaining the change trend similarity index is as follows: obtaining historical water data and interval duration between preset time points from the preset database, and classifying and numbering the historical water data according to the category of extreme cases, the interval duration being the same in duration; obtaining water data and historical water data of a preset number of preset time points, and numbering the preset time points; classifying and numbering the water data and the corresponding historical water data according to the data category; obtaining the historical water data evaluation value of each category of historical water data based on the historical water data and the interval duration; obtaining the real-time water data evaluation value of each category of water data based on the water data and the interval duration; performing absolute value operation on the difference operation result of the historical water data evaluation value and the real-time water data evaluation value to obtain the evaluation difference, and performing statistics on the evaluation difference of all categories of water data and corresponding historical water data of all preset time points to obtain the evaluation difference total; performing ratio operation on the evaluation difference total and the corresponding number of evaluation differences to obtain the evaluation difference average value, and obtaining the change trend similarity index based on the evaluation difference average value.

[0019] Furthermore, the specific process of comparing the trend similarity index with the trend threshold to determine whether to take corresponding second-arrangement control is as follows: The flood trend similarity index is compared with the flood threshold. If the flood trend similarity index is greater than the flood threshold, the second-arrangement control is not executed; otherwise, the spacing of the fish-blocking electric grid electrodes is shortened. The drought trend similarity index is compared with the drought threshold. If the drought trend similarity index is greater than the drought threshold, the second-arrangement control is not executed; otherwise, the length of the suspension cable is extended until the fish-blocking electric grid electrodes are completely submerged in water. The freezing trend similarity index is compared with the freezing threshold. If the freezing trend similarity index is greater than the freezing threshold, the second-arrangement control is not executed. The second arrangement control is executed; otherwise, the heating device is activated. The high temperature trend similarity index is compared with the high temperature threshold. If the high temperature trend similarity index is greater than the high temperature threshold, the second arrangement control is not executed; otherwise, the heat dissipation device is activated. The typhoon trend similarity index is compared with the typhoon threshold. If the typhoon trend similarity index is greater than the typhoon threshold, the second arrangement control is not executed; otherwise, the automatic power-off device is activated. The trend thresholds include flood threshold, drought threshold, freezing threshold, high temperature threshold, and typhoon threshold. The trend similarity index includes flood trend similarity index, drought trend similarity index, freezing trend similarity index, high temperature trend similarity index, and typhoon trend similarity index.

[0020] Furthermore, if the first and second deployment controls are executed simultaneously, the second deployment control will be executed first, and a warning reminder will be issued to the preset staff; the warning reminder includes instruction reminders, visual reminders, and auditory reminders.

[0021] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0022] 1. By obtaining the water conditions change index through water conservancy data and reference water conservancy data, and then obtaining the water conditions analysis index based on the water conditions change index, the water conditions analysis index is compared with the water conservancy threshold to determine whether to implement the first arrangement control. At the same time, the trend similarity index is obtained based on the water conservancy data and historical water conservancy data. The trend similarity index is compared with the trend threshold to determine whether to take the corresponding second arrangement control. This achieves effective response to changing water conservancy conditions, and thus enables more accurate design and layout of fish barrier electric fences. It effectively solves the problem of inaccurate water conditions analysis in the design and layout of fish barrier electric fences in the existing technology.

[0023] 2. By obtaining the water conservancy condition change index and the corresponding water conservancy condition change weight, and summing the product of the water conservancy condition change index and the water conservancy condition change weight to obtain the total index change value, and then performing hyperbolic secant operation and exponential operation on the total index change value to obtain the water conservancy condition analysis index, a more accurate judgment of the execution of the first deployment control is realized, and then the real-time monitoring of changes in water conservancy conditions and timely implementation of corresponding measures are realized.

[0024] 3. By substituting the obtained target electric field strength and the power supply voltage of the electric grid into the electric field strength formula, the target electrode spacing is obtained. The difference between the current electrode spacing and the target electrode spacing is calculated to reduce the spacing of the fish-blocking electric grid electrodes, thereby accurately increasing the electric field strength and achieving a more accurate design and layout of the fish-blocking electric grid. Attached Figure Description

[0025] Figure 1 A flowchart illustrating the design and layout method of fish-blocking electric fences based on hydraulic condition analysis provided in this application embodiment;

[0026] Figure 2 A schematic diagram illustrating the changes in the water conservancy condition analysis index provided in this application embodiment. Detailed Implementation

[0027] This application provides a method for designing and arranging fish barrier electric fences based on hydraulic condition analysis, which solves the problem of inaccurate hydraulic condition analysis in the design and arrangement of fish barrier electric fences in the prior art. The method obtains a hydraulic condition change index by comparing hydraulic data obtained by hydraulic condition detection equipment with reference hydraulic data obtained from a preset database, and then obtains a hydraulic condition analysis index based on the hydraulic condition change index. The hydraulic condition analysis index is then compared with a hydraulic threshold obtained from a preset database to determine whether to implement the first arrangement control. Next, a trend similarity index is obtained based on the hydraulic data and historical hydraulic data, and the trend similarity index is compared with a trend threshold to determine whether to take the corresponding second arrangement control. This method achieves more accurate design and arrangement of fish barrier electric fences.

[0028] The technical solution in this application embodiment is to solve the problem of inaccurate hydraulic condition analysis during the design and layout of the aforementioned fish-blocking electric fence. The overall approach is as follows:

[0029] By comparing the obtained hydraulic condition analysis index with the hydraulic threshold to determine whether to implement the first arrangement control, and by comparing the obtained trend similarity index with the trend threshold to determine whether to implement the second arrangement control, a more accurate design and arrangement of fish barrier electric fences is achieved.

[0030] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0031] like Figure 1 The diagram shows a flowchart of a method for designing and arranging fish barrier electric fences based on hydraulic condition analysis, provided in an embodiment of this application. The method includes the following steps: obtaining a hydraulic condition change index by comparing hydraulic data acquired through a hydraulic condition detection device with reference hydraulic data obtained from a preset database; obtaining a hydraulic condition analysis index based on the hydraulic condition change index, which is used to quantify the applicability of the initial fish barrier electric fence arrangement method; comparing the hydraulic condition analysis index with a hydraulic threshold obtained from a preset database to determine whether to implement a first arrangement control, whereby the first arrangement control indicates adjusting the fish barrier electric fence arrangement according to changing hydraulic conditions; deriving a trend similarity index based on hydraulic data and historical hydraulic data, whereby the trend similarity index is used to quantify the degree of convergence between the changing trend of hydraulic conditions and a preset extreme case; and comparing the trend similarity index with a trend threshold to determine whether to adopt a corresponding second arrangement control, whereby the second arrangement control indicates adjusting the fish barrier electric fence arrangement according to extreme hydraulic conditions.

[0032] In this embodiment, extreme cases refer to common natural disasters and phenomena that affect the operation of fish barrier electric fences, including floods, droughts, freezing, high temperatures, and typhoons. Through automated data analysis and control, the impact of human factors on water conservancy condition analysis is reduced, improving management efficiency and accuracy. Furthermore, by comprehensively utilizing water conservancy condition change index and trend similarity index, strong data support can be provided to pre-set staff to make scientific and reasonable control decisions, thereby achieving more accurate design and layout of fish barrier electric fences.

[0033] The hydraulic condition monitoring equipment includes Doppler current meters, radar water level gauges, temperature recorders, sediment monitors, and conductivity meters; the hydraulic data includes water flow velocity, water depth, water temperature, water turbidity, and water conductivity.

[0034] Specifically, Doppler current meters measure water flow velocity based on the Doppler effect. The Doppler current meter emits sound waves into the water, and the sound waves are reflected back after encountering suspended particles in the water. Based on the change in the frequency of reflected waves (Doppler shift), Doppler current meters can calculate the velocity of water flow; radar level gauges transmit microwave radar signals to the water surface, and after the signal is reflected back, the radar level gauge calculates the water level height by measuring the time difference between transmission and reception, and obtains the water depth by comparing the water level height with the installation height of the radar level gauge; temperature recorders are usually placed on the water surface to record the temperature changes of the water in real time; sediment monitors mainly use optical turbidity sensors or acoustic sensors to measure the concentration of suspended particles in the water to obtain the turbidity of the water; conductivity meters determine the conductivity of the water by measuring the conductivity of dissolved ions in the water; and water data is collected once at each preset time point, which is set by the staff according to the specific situation. By combining water condition detection equipment, comprehensive data on water flow velocity, water depth, water temperature, water turbidity, and water conductivity can be obtained, providing accurate data for the monitoring and analysis of water conditions.

[0035] It should be explained that the specific method for obtaining the water flow speed is as follows:

[0036]

[0037] It's important to understand that V represents the water flow velocity, and f... d V represents the Doppler frequency shift, f0 represents the frequency of the emitted sound wave, and V sound This indicates the speed at which sound waves travel in water (usually around 1500 meters per second).

[0038] It should be explained that the specific method for obtaining water depth is as follows:

[0039]

[0040] What needs to be understood is that h water h represents water depth. device This indicates the installation height of the radar level gauge, and 'c' represents the speed of radar wave propagation in air (approximately 3 * 10⁻⁶). 8 m / s), where t represents the time difference (seconds) between the transmission and reception of the radar wave.

[0041] Furthermore, the specific process for obtaining the water condition change index is as follows: Real-time acquisition of a preset number of water data points at preset time points, and numbering of these preset time points; comparison of the water flow velocity at the preset time points with a reference water flow velocity range obtained from a preset database; if the water flow velocity at the preset time point belongs to the reference water flow velocity range, then the water velocity index is obtained based on the water flow velocity at the preset time point and the reference water flow velocity range; otherwise, the corresponding water velocity index is recorded as 1. The reference water flow velocity range includes the minimum and maximum water flow velocities. The water velocity index is the result of hyperbolic tangent calculation of the ratio of the difference between the water flow velocity and the minimum water flow velocity at the preset time point to the difference between the maximum and minimum water flow velocities. The water velocity index is used to quantify the degree of change in water flow velocity at the corresponding preset time point. The specific numerical expression of the water velocity index is as follows:

[0042]

[0043] In the formula, n represents the preset time point number, n = 1, 2, ... N, and N represents the total number of preset time points. V n V represents the water flow velocity at the nth preset time point. MIN V represents the minimum water flow velocity. MAX This indicates the maximum water flow velocity. This represents the water velocity index at the nth preset time point.

[0044] The water depth at a preset time point is compared with the initial water depth obtained from a preset database. If the water depth at the preset time point is not less than the initial water depth, the water depth deviation is calculated based on the water depth at the preset time point and the initial water depth, and the water depth index is calculated based on the water depth deviation. Otherwise, the corresponding water depth index is recorded as 0. The water depth index is the result of logarithmic operation on the sum of the ratio of the difference between the water depth at the preset time point and the initial water depth and 1. The water depth index is used to quantify the degree of change in water depth at the corresponding preset time point. The specific numerical expression of the water depth index is as follows:

[0045]

[0046] In the formula, D n D represents the water depth at the nth preset time point, and D0 represents the initial water depth. This represents the water depth index at the nth preset time point.

[0047] The water temperature at a preset time point is compared with a reference water temperature range obtained from a preset database. If the water temperature at the preset time point falls within the reference range, a water temperature index is obtained based on the water temperature at the preset time point, the minimum water temperature, and the maximum water temperature. Otherwise, the corresponding water temperature index is recorded as 1. The water temperature range includes the minimum and maximum water temperatures. The water temperature index is the result of performing a hyperbolic tangent operation on the ratio of the difference between the water temperature at the preset time point and the minimum water temperature to the difference between the maximum and minimum water temperatures. The water temperature index is used to quantify the degree of change in water temperature at the corresponding preset time point. The specific numerical expression of the water temperature index is as follows:

[0048]

[0049] In the formula, T n T represents the water temperature at the nth preset time point. MIN T represents the minimum water temperature. MAX This indicates the maximum water temperature. This represents the water temperature index at the nth preset time point.

[0050] The turbidity of the water body at a preset time point is compared with the turbidity limit obtained from a preset database. If the turbidity of the water body at the preset time point is not greater than the turbidity limit, the turbidity index is obtained based on the turbidity of the water body at the preset time point and the turbidity limit. Otherwise, the corresponding turbidity index is recorded as 1. The turbidity index is the result of performing a hyperbolic secant operation on the ratio of the difference between the turbidity limit and the turbidity of the water body at the preset time point to the turbidity limit. The turbidity index is used to quantify the degree of change in the turbidity of the water body at the corresponding preset time point. The specific numerical expression of the turbidity index is as follows:

[0051]

[0052] In the formula, Z n Z represents the turbidity of the water body at the nth preset time point, and Z0 represents the turbidity limit of the water body. This represents the water turbidity index at the nth preset time point.

[0053] The water conductivity at a preset time point is compared with a reference conductivity range obtained from a preset database. If the water conductivity at the preset time point falls within the reference conductivity range, the conductivity index is obtained based on the water conductivity at the preset time point, the minimum conductivity value, and the maximum conductivity value. Otherwise, the corresponding conductivity index is recorded as 1. The conductivity range includes the minimum and maximum conductivity values. The conductivity index is the result of performing a hyperbolic tangent operation on the ratio of the difference between the water conductivity at the preset time point and the minimum conductivity value to the difference between the maximum conductivity value and the minimum conductivity value. The conductivity index is used to quantify the degree of change in the water conductivity at the corresponding preset time point. The specific numerical expression of the conductivity index is as follows:

[0054]

[0055] A n A represents the water conductivity at the nth preset time point. MIN A represents the minimum conductivity. MAX Indicates the maximum conductivity. This represents the conductivity index at the nth preset time point.

[0056] The reference water conservancy data include reference flow velocity range, initial water depth, reference water temperature range, water turbidity limit, and reference conductivity range; the water conservancy condition change index includes water velocity index, water depth index, water temperature index, water turbidity index, and conductivity index.

[0057] In this embodiment, water velocity index, water depth index, water temperature index, water turbidity index, and electrical conductivity index are obtained through hydraulic data and reference hydraulic data, which provides convenience for the calculation of subsequent hydraulic condition analysis indices. At the same time, performing individual change analysis on each type of hydraulic data is beneficial to obtaining a more accurate hydraulic condition change index, thereby obtaining a more accurate hydraulic condition analysis index.

[0058] In the formula, if the water flow velocity at the preset time point falls within the reference water flow velocity range, the water velocity index increases with the increase of the water flow velocity; if the water depth at the preset time point is not less than the initial water depth, the water depth index increases with the increase of the water depth; if the water temperature at the preset time point falls within the reference water temperature range, the water temperature index increases with the increase of the water temperature; if the water turbidity at the preset time point is not greater than the water turbidity limit, the water turbidity index increases with the increase of the water turbidity; if the water conductivity at the preset time point falls within the reference conductivity range, the conductivity index increases with the increase of the water conductivity. The larger the water velocity index, water depth index, water temperature index, water turbidity index, and conductivity index, the less conducive it is to improving the fish-blocking efficiency of the electric fish barrier. Furthermore, by analyzing the water flow velocity, water depth, water temperature, water turbidity, and water conductivity separately, it is beneficial to analyze the hydraulic conditions more accurately, thereby enabling more accurate implementation of corresponding layout and control measures.

[0059] Specifically, the reference water flow velocity range is obtained from a preset database. In a specific embodiment, the reference water flow velocity range represents the range of water flow velocities that make the electric field distribution of the fish barrier grid uniform. By consulting the literature, it can be found that the range of water flow velocities that make the electric field distribution of the fish barrier grid uniform is 0.3 m / s to 1.0 m / s. Therefore, the reference water flow velocity range is [0.3 m / s, 1.0 m / s].

[0060] Specifically, the reference water temperature range is obtained from a preset database. In one specific embodiment, the reference water temperature range represents the water temperature range that makes the electric field distribution of the fish barrier grid uniform. According to the literature, the water temperature range that makes the electric field distribution of the fish barrier grid uniform is 5℃ to 30℃. Therefore, the reference water flow velocity range is [5℃, 30℃].

[0061] Specifically, the water turbidity limit is obtained from a preset database. In one specific embodiment, the water turbidity limit represents the maximum water turbidity that makes the electric field distribution of the fish barrier grid uniform. By consulting the literature, it can be found that the maximum water turbidity that makes the electric field distribution of the fish barrier grid uniform is 100 NTU. Therefore, the water turbidity limit is 100 NTU.

[0062] Specifically, the reference conductivity range is obtained from a preset database. In one specific embodiment, the reference conductivity range represents the conductivity range that makes the electric field distribution of the fish barrier grid uniform. By consulting the literature, it can be found that the conductivity range that makes the electric field distribution of the fish barrier grid uniform is 50 μS / cm to 500 μS / cm. Therefore, the reference water flow velocity range is [50 μS / cm, 500 μS / cm].

[0063] Furthermore, the method for deriving the water conditions analysis index based on the water conditions change index is as follows: The water conditions change weights corresponding to the water conditions change index are obtained from a pre-set database. These weights include water velocity weight, water depth weight, water temperature weight, water turbidity weight, and electrical conductivity weight. The summation of the product of the water conditions change index and the water conditions change weights yields the total index change value. Hyperbolic secant and exponential operations are then performed on this total index change value to obtain the water conditions analysis index. The numerical expression for the water conditions analysis index is as follows:

[0064]

[0065] In the formula, This represents the water velocity index at the nth preset time point. This represents the water depth index at the nth preset time point. This represents the water temperature index at the nth preset time point. This represents the water turbidity index at the nth preset time point. γ1 represents the conductivity index at the nth preset time point, γ2 represents the water velocity weight, γ3 represents the water temperature weight, γ4 represents the water turbidity weight, and γ5 represents the conductivity weight. WAI n denoted as the hydraulic conditions analysis index at the nth preset time point, and e represents the natural constant.

[0066] In this embodiment, the algorithm combines the water conservancy condition change index and the water conservancy condition change weight to obtain the water conservancy condition analysis index. Furthermore, the water conservancy condition change indices are independent of each other, and all water conservancy condition change indices show a negative correlation with the water conservancy condition analysis index. Specifically, as follows... Figure 2 The diagram shown illustrates the changes in the water conservancy condition analysis index provided in this embodiment of the application. Figure 2 It can be seen that as the hydrological condition change index gradually increases, the hydrological condition analysis index gradually decreases, showing a negatively correlated linear change. This indicates that the larger the hydrological condition change index, the more unfavorable it is for the placement of fish barrier electric fences. Therefore, the smaller the hydrological condition analysis index, the better. By monitoring relevant hydrological data, it is beneficial to respond in real time to the impact of complex hydrological conditions on the placement of fish barrier electric fences and increase the fish-blocking effect of the fish barrier electric fences.

[0067] Specifically, water flow velocity, water depth, water temperature, water turbidity, and water conductivity also influence each other. For example, water flow velocity and water depth often affect water turbidity through physical processes, while water temperature affects chemical reaction rates and biological activity, which in turn affects water turbidity and water conductivity. Furthermore, water temperature and water conductivity are usually positively correlated, and an increase in water turbidity is often accompanied by an increase in particulate matter in the water, indirectly affecting water conductivity.

[0068] Specifically, the water velocity weight is the weight corresponding to the water velocity index in the preset database. It represents the degree of influence of the water velocity index on the hydraulic condition analysis index. When using it, the weight corresponding to the water velocity index can be directly obtained from the preset database. The correspondence can be a pre-defined mapping relationship. For example, the water velocity index corresponding to the water flow velocity and the weight corresponding to the preset hydraulic condition analysis index in the preset database form a mapping set. The real-time water velocity index is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0069] Specifically, the water depth weight is the weight corresponding to the water depth index in the preset database. It represents the degree of influence of the water depth index on the hydraulic conditions analysis index. When using it, the weight corresponding to the water depth index can be directly obtained from the preset database. The correspondence can be a pre-defined mapping relationship. For example, the water depth index corresponding to the water depth and the weight corresponding to the preset hydraulic conditions analysis index in the preset database form a mapping set. The real-time water depth index is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0070] Specifically, the water temperature weight is the weight corresponding to the water temperature index in the preset database. It represents the degree of influence of the water temperature index on the hydraulic conditions analysis index. When using it, the weight corresponding to the water temperature index can be directly obtained from the preset database. The correspondence can be a pre-defined mapping relationship. For example, the water temperature index corresponding to the water temperature and the weight corresponding to the preset hydraulic conditions analysis index in the preset database form a mapping set. The real-time water temperature index is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0071] Specifically, the turbidity weight is the weight corresponding to the turbidity index in the preset database. It represents the degree of influence of the turbidity index on the hydraulic conditions analysis index. When using it, the weight corresponding to the turbidity index can be directly obtained from the preset database. The correspondence can be a pre-defined mapping relationship. For example, the turbidity index corresponding to the water turbidity and the weight corresponding to the preset hydraulic conditions analysis index in the preset database form a mapping set. The real-time turbidity index is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is [0, 1].

[0072] Specifically, in this example, the sum of the conductivity weight, water velocity weight, water depth weight, water temperature weight, and water turbidity weight is 1.

[0073] Furthermore, the specific process of comparing the hydraulic condition analysis index with the hydraulic threshold obtained from the preset database to determine whether to implement the first arrangement control is as follows: if the hydraulic condition analysis index is less than the hydraulic threshold, the fish barrier electric grid arrangement control is not implemented; if the hydraulic condition analysis index is not less than the hydraulic threshold, the first arrangement control is adopted; the specific process of adopting the first arrangement control is as follows: the water depth is compared with the initial water depth; if the water depth is greater than the initial water depth, the height of the fish barrier electric grid electrodes is increased and the spacing between the fish barrier electric grid electrodes is decreased; if the water depth is not greater than the initial water depth, the spacing between the fish barrier electric grid electrodes is decreased.

[0074] In this embodiment, adaptive control of the fish-blocking electric grid is achieved through dual analysis of hydraulic conditions and water depth. This ensures that the layout of the electric grid is optimized under different hydraulic environments, improves the fish interception effect, reduces human intervention, and increases the system's response speed.

[0075] Specifically, the water conservancy threshold is obtained from a preset database. In one specific embodiment, the water conservancy threshold represents the average value of the corresponding dataset obtained by substituting historical water conservancy data into the numerical expression of the water conservancy condition analysis index.

[0076] Furthermore, the specific process for increasing the height of the fish barrier electric grid electrode is as follows: obtain the water depth and the initial water depth, where the initial water depth represents the water depth at the first preset time point; calculate the difference between the water depth at the preset time point and the initial water depth to obtain the water depth difference, where the water depth difference represents the difference between the water depth and the initial water depth; increase the height of the fish barrier electric grid electrode at the corresponding preset time point according to the water depth difference.

[0077] In this embodiment, through this automatic adjustment mechanism based on water depth changes, the fish barrier can dynamically adjust the electrode height as the water level changes, thereby adapting to the electric field distribution requirements under different water depth conditions. This method enhances the system's flexibility and automation level, avoids the effect of the barrier being affected by water level changes, and reduces the reliance on manual intervention, ensuring improved barrier interception efficiency.

[0078] Furthermore, the specific steps to reduce the spacing of the fish-blocking electric grid electrodes are as follows: Step 1, obtain the target electric field strength, which represents the electric field strength that fish can tolerate, obtained by consulting literature; Step 2, substitute the target electric field strength and the grid supply voltage into the electric field strength formula to obtain the target electrode spacing; Step 3, calculate the difference between the current electrode spacing and the target electrode spacing to obtain the spacing of the fish-blocking electric grid electrodes to reduce the spacing.

[0079] In this embodiment, by automatically adjusting the electrode spacing, the electric field strength is ensured to be within the tolerance range of fish, while simultaneously enhancing the interception effect. Specific effects include: dynamic adjustment: based on real-time calculations and differential calculations, the electrode spacing can be precisely adjusted to maintain the target electric field strength, adapting to different environments and power supply conditions; fish protection: the target electric field strength is based on the fish's tolerance, ensuring that no harm is caused to the fish during adjustment; improved interception efficiency: by adaptively adjusting the electrode spacing, the fish-blocking grid can maintain its interception effect under different water depths or voltage conditions, thereby enhancing the automation and effectiveness of the entire grid system. This method allows for real-time response to environmental changes, ensuring the grid is always in optimal working condition.

[0080] Specifically, the formula for electric field strength is as follows:

[0081]

[0082] In the formula, V represents the transmission voltage of the fish barrier grid, d represents the electrode spacing, and E represents the target electric field strength.

[0083] Furthermore, the process of obtaining the trend similarity index is as follows: Historical water conservancy data and the interval between preset time points are obtained from a preset database, and the historical water conservancy data are classified and numbered according to the category of extreme cases, with all intervals having the same duration; a preset number of water conservancy data and historical water conservancy data at preset time points are obtained, and the preset time points are numbered; the water conservancy data and corresponding historical water conservancy data are classified and numbered according to data category; based on the historical water conservancy data and the interval, a historical water conservancy data evaluation value is obtained for each category of historical water conservancy data; based on the water conservancy data and the interval, a real-time water conservancy data evaluation value is obtained for each category of water conservancy data; the absolute value of the difference between the historical water conservancy data evaluation value and the real-time water conservancy data evaluation value is calculated to obtain the evaluation difference, and the evaluation differences for all categories of water conservancy data and corresponding historical water conservancy data at all preset time points are statistically analyzed to obtain the sum of evaluation differences; the ratio of the sum of evaluation differences to the corresponding quantity of evaluation differences is calculated to obtain the average evaluation difference, and the trend similarity index is obtained based on the average evaluation difference. The trend similarity index is obtained through the following method:

[0084]

[0085] In the formula, g represents the historical water conservancy data classification number, g = 1, 2, 3, 4, 5; n represents the preset time point number, n = 1, 2, ..., N; N represents the preset number of preset time points; and i represents the water conservancy data category number, i = 1, 2, 3, 4, 5. This represents the i-th type of water conservancy data in the historical water conservancy data at the (n+1)-th preset time point. This represents the i-th type of water conservancy data in the historical water conservancy data at the n-th preset time point. This represents the i-th type of water conservancy data at the (n+1)-th preset time point. This represents the i-th type of water conservancy data in the water conservancy data at the n-th preset time point, where Δt represents the interval duration, and CSI g This represents the similarity index of the changing trends of historical water conservancy data of category g.

[0086] In this embodiment, the algorithm combines historical water conservancy data, water conservancy data, and interval duration for comprehensive analysis to derive a similarity coefficient of change trend, which is denoted as... PGC represents the sum of assessment differences. As the sum of assessment differences increases, the value of the trend similarity coefficient also increases, showing a positive correlation. A larger trend similarity coefficient indicates a greater difference between the current water conservancy data and historical water conservancy data, and a lower likelihood that the trend is biased towards extreme situations. This method can effectively identify the trends of historical and real-time water conservancy data and provide a trend similarity index for pre-set staff as a decision-making reference. Simultaneously, this method helps improve the response speed of fish-barrier electric fences to emergencies, enabling pre-set staff to take early countermeasures. Furthermore, classifying data based on extreme situations allows for flexible adaptation to different water conservancy conditions (such as floods and droughts) and better prediction of similar situations based on historical extreme events. The method provided in this application embodiment can provide a quantitative assessment of water conservancy conditions and enhance the real-time response capability and data analysis effect of fish-barrier electric fences in different scenarios.

[0087] It should be explained that when i=1, the category of hydraulic data is water flow velocity; when i=2, the category of hydraulic data is water depth; when i=3, the category of hydraulic data is water temperature; when i=4, the category of hydraulic data is water turbidity; and when i=5, the category of hydraulic data is water conductivity.

[0088] Specifically, Table 1 shows the data changes in the similarity coefficient of the changing trend, as detailed below:

[0089] Table 1. Data Changes in Similarity Coefficients and Trends

[0090]

[0091]

[0092] As shown in Table 1, the larger the total evaluation difference and the smaller the number of preset time points, the larger the trend similarity coefficient. This indicates that the real-time water conservancy data trend is less likely to approach the trend of extreme situations. For example, in the first and third rows of data, when the number of preset time points in the first row increases from 10 to 15, while the total evaluation difference decreases from 60 to 50, the corresponding trend similarity coefficient decreases from 0.87 to 0.61. This shows that the influence on the trend similarity coefficient is not only on water conservancy data, but also on the number of preset time points. Blindly increasing or decreasing the preset time points may affect the rationality of the trend similarity coefficient assessment. Therefore, when assessing the trend similarity coefficient, in addition to real-time monitoring of water conservancy data, the setting of the number of preset time points is also crucial. This helps to obtain a more objective trend similarity coefficient, thus enabling timely implementation of corresponding measures.

[0093] Furthermore, the specific process of comparing the trend similarity index with the trend threshold to determine whether to take corresponding second-order control measures is as follows: The flood trend similarity index is compared with the flood threshold. If the flood trend similarity index is greater than the flood threshold, the second-order control is not implemented; otherwise, the spacing of the fish-blocking electric grid electrodes is shortened. The drought trend similarity index is compared with the drought threshold. If the drought trend similarity index is greater than the drought threshold, the second-order control is not implemented; otherwise, the length of the suspension cable is extended until the fish-blocking electric grid electrodes are completely submerged in water. The freezing trend similarity index is compared with the freezing threshold. If the freezing trend similarity index is greater than the freezing threshold, the second-order control is not implemented; otherwise, the heating device is activated to ensure the fish-blocking electric grid is fully submerged. The waters near the poles will not freeze completely; the high temperature trend similarity index is compared with the high temperature threshold. If the high temperature trend similarity index is greater than the high temperature threshold, the second arrangement control is not executed; otherwise, the heat dissipation device is activated to prevent the fish barrier electrodes from overheating and causing the fish barrier to malfunction; the typhoon trend similarity index is compared with the typhoon threshold. If the typhoon trend similarity index is greater than the typhoon threshold, the second arrangement control is not executed; otherwise, the automatic power-off device is activated to temporarily disable the fish barrier; the changing trend thresholds include the flood threshold, drought threshold, freezing threshold, high temperature threshold, and typhoon threshold; the changing trend similarity index includes the flood trend similarity index, drought trend similarity index, freezing trend similarity index, high temperature trend similarity index, and typhoon trend similarity index.

[0094] In this embodiment, when g is 1, the trend similarity index is the flood trend similarity index; when g is 2, the trend similarity index is the drought trend similarity index; when g is 3, the trend similarity index is the freezing trend similarity index; when g is 4, the trend similarity index is the high temperature trend similarity index; and when g is 5, the trend similarity index is the typhoon trend similarity index. By comparing the trend similarity index with the trend threshold, the fish barrier can automatically determine whether a second arrangement control needs to be performed, thereby ensuring that the fish barrier equipment can be dynamically adjusted according to real-time conditions in various natural environmental changes.

[0095] Specifically, the flood threshold is obtained from a preset database. In one specific embodiment, the flood threshold represents the average value of the corresponding dataset obtained by substituting historical water conservancy data on flood occurrences into a method for obtaining a trend similarity index.

[0096] Specifically, the drought threshold is obtained from a preset database. In one specific embodiment, the drought threshold represents the average value of the corresponding dataset obtained by substituting historical water conservancy data on drought occurrences into a method for obtaining a trend similarity index.

[0097] Specifically, the freezing threshold is obtained from a preset database. In one specific embodiment, the freezing threshold represents the average value of the corresponding dataset obtained by substituting historical water conservancy data on freezing events into a method for obtaining a trend similarity index.

[0098] Specifically, the high-temperature threshold is obtained from a preset database. In one specific embodiment, the high-temperature threshold represents the average value of the corresponding dataset obtained by substituting historical water conservancy data on high-temperature events into the method for obtaining the trend similarity index.

[0099] Specifically, the typhoon threshold is obtained from a preset database. In one specific embodiment, the typhoon threshold represents the average value of the corresponding dataset obtained by substituting historical water conservancy data on typhoon occurrences into a method for obtaining a trend similarity index.

[0100] Furthermore, if the first and second deployment controls are executed simultaneously, the second deployment control will be executed first, and a warning reminder will be issued to the pre-set personnel. The warning reminder includes instruction reminders, visual reminders, and auditory reminders. Instruction reminders are used to issue electric grid maintenance reminders or disaster evacuation reminders to the pre-set personnel. Visual reminders are used to remind all pre-set personnel to pay attention to personal safety when they detect extreme situations by flashing colored lights. Auditory reminders are used to remind all pre-set personnel to pay attention to personal safety when they detect extreme situations by broadcasting sound.

[0101] In this embodiment, the second arrangement control is prioritized to ensure response to current environmental changes or disaster threats. Simultaneously with the second arrangement control, the fish barrier design and arrangement method automatically sends early warnings to pre-set personnel to ensure timely response to potential extreme situations. Instruction reminders are used to alert pre-set personnel to perform equipment maintenance or take emergency evasive measures, ensuring continuous equipment operation and personnel safety. Visual reminders directly indicate that the system is in a dangerous state through changes in color or flashing signals, requiring pre-set personnel to remain highly vigilant and pay attention to personal safety. Auditory reminders are suitable for use in noisy environments, ensuring that even if visual reminders are not visible, personnel can quickly understand the emergency situation through sound. By combining these early warnings with the priority control method, the fish barrier design and arrangement method ensures that personnel can receive timely warnings and take necessary countermeasures when extreme environments or disasters occur, thereby effectively reducing damage to equipment and personnel in extreme situations.

[0102] In summary, the embodiments of this application obtain a water condition change index by comparing water conservancy data with reference water conservancy data, and then obtain a water conservancy condition analysis index based on the water conservancy condition change index. Next, the water conservancy condition analysis index is compared with a water conservancy threshold to determine whether to implement the first arrangement control. At the same time, a trend similarity index is obtained based on water conservancy data and historical water conservancy data, and the trend similarity index is compared with a trend threshold to determine whether to take the corresponding second arrangement control. This achieves effective response to changing water conservancy conditions, and thus enables more accurate design and arrangement of fish barrier electric fences, effectively solving the problem of inaccurate water conservancy condition analysis in the design and arrangement of fish barrier electric fences in the prior art.

[0103] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0104] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0105] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0106] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0107] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0108] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for designing and arranging electric fish barriers based on hydraulic conditions analysis, characterized in that, Includes the following steps: The hydraulic conditions change index is obtained by combining hydraulic data acquired by hydraulic condition detection equipment with reference hydraulic data obtained from a preset database. Based on the hydraulic conditions change index, a hydraulic conditions analysis index is obtained. The hydraulic conditions analysis index is used to quantify the applicability of the initial fish barrier electric grid layout method. The water conservancy condition analysis index is compared with the water conservancy threshold obtained from the preset database to determine whether to execute the first arrangement control, which means adjusting the arrangement of the fish barrier electric fence according to the changing water conservancy conditions. A trend similarity index is derived from water conservancy data and historical water conservancy data. The trend similarity index is used to quantify the degree to which the changing trend of water conservancy conditions approaches a preset extreme situation. The trend similarity index is compared with the trend threshold to determine whether to take corresponding second-arrangement control measures. The second-arrangement control measures refer to adjusting the arrangement of fish-blocking electric fences according to extreme water conservancy conditions.

2. The method for designing and arranging fish-blocking electric fences based on hydraulic conditions analysis as described in claim 1, characterized in that: The hydraulic conditions detection equipment includes a Doppler current meter, a radar water level gauge, a temperature recorder, a sediment monitor, and a conductivity meter. The hydraulic data includes water flow velocity, water depth, water temperature, water turbidity, and water conductivity.

3. The method for designing and arranging fish-blocking electric fences based on hydraulic conditions analysis as described in claim 2, characterized in that: The specific process for obtaining the water conservancy condition change index is as follows: Real-time acquisition of a preset number of water conservancy data points at preset time points, and numbering of the preset time points; The water flow velocity at a preset time point is compared with a reference water flow velocity range obtained from a preset database. If the water flow velocity at the preset time point belongs to the reference water flow velocity range, a water velocity index is obtained based on the water flow velocity at the preset time point and the reference water flow velocity range. Otherwise, the corresponding water velocity index is recorded as 1. The reference water flow velocity range includes the minimum water flow velocity and the maximum water flow velocity. The water velocity index is the result of performing a hyperbolic tangent operation on the ratio of the difference between the water flow velocity at the preset time point and the minimum water flow velocity to the difference between the maximum water flow velocity and the minimum water flow velocity. The water velocity index is used to quantify the degree of change of the water flow velocity at the corresponding preset time point. The water depth at a preset time point is compared with the initial water depth obtained from a preset database. If the water depth at the preset time point is not less than the initial water depth, the water depth deviation is obtained based on the water depth at the preset time point and the initial water depth, and the water depth index is obtained based on the water depth deviation. Otherwise, the corresponding water depth index is recorded as 0. The water depth index is the result of logarithmic operation of the sum of the ratio of the difference between the water depth at the preset time point and the initial water depth and 1. The water depth index is used to quantify the degree of change in water depth at the corresponding preset time point. The water temperature at a preset time point is compared with a reference water temperature range obtained from a preset database. If the water temperature at the preset time point belongs to the reference water temperature range, the water temperature index is obtained based on the water temperature at the preset time point, the minimum water temperature, and the maximum water temperature. Otherwise, the corresponding water temperature index is recorded as 1. The reference water temperature range includes the minimum water temperature and the maximum water temperature. The water temperature index is the result of performing a hyperbolic tangent operation on the ratio of the difference between the water temperature at the preset time point and the minimum water temperature to the difference between the maximum water temperature and the minimum water temperature. The water temperature index is used to quantify the degree of change in water temperature at the corresponding preset time point. The turbidity of the water body at a preset time point is compared with the turbidity limit of the water body obtained from a preset database. If the turbidity of the water body at the preset time point is not greater than the turbidity limit of the water body, the water turbidity index is obtained based on the turbidity of the water body at the preset time point and the turbidity limit of the water body. Otherwise, the corresponding water turbidity index is recorded as 1. The water turbidity index is the result of performing a hyperbolic secant operation on the ratio of the difference between the turbidity limit of the water body and the turbidity of the water body at the preset time point to the turbidity limit of the water body. The water turbidity index is used to quantify the degree of change of the turbidity of the water body at the corresponding preset time point. The water conductivity at a preset time point is compared with a reference conductivity range obtained from a preset database. If the water conductivity at the preset time point belongs to the reference conductivity range, the conductivity index is obtained based on the water conductivity at the preset time point, the minimum conductivity value, and the maximum conductivity value. Otherwise, the corresponding conductivity index is recorded as 1. The reference conductivity range includes the minimum conductivity value and the maximum conductivity value. The conductivity index is the result of performing a hyperbolic tangent operation on the ratio of the difference between the water conductivity at the preset time point and the minimum conductivity value to the difference between the maximum conductivity value and the minimum conductivity value. The conductivity index is used to quantify the degree of change in the water conductivity at the corresponding preset time point. The reference hydraulic data includes reference flow velocity range, initial water depth, reference water temperature range, water turbidity limit, and reference conductivity range; The hydraulic conditions change index includes water velocity index, water depth index, water temperature index, water turbidity index, and electrical conductivity index.

4. The method for designing and arranging fish-blocking electric fences based on hydraulic condition analysis as described in claim 3, characterized in that: The method for deriving the water conservancy condition analysis index based on the water conservancy condition change index is as follows: The water conditions change weights corresponding to the water conditions change index are obtained from the preset database. The water conditions change weights include water velocity weight, water depth weight, water temperature weight, water turbidity weight, and electrical conductivity weight. The total value of the index change is obtained by summing the product of the index of changes in water conservancy conditions and the weight of changes in water conservancy conditions. The total value of the index change is then subjected to hyperbolic secant operation and exponential operation to obtain the water conservancy condition analysis index.

5. The method for designing and arranging fish-blocking electric fences based on hydraulic condition analysis as described in claim 4, characterized in that: The specific process of comparing the water conservancy condition analysis index with the water conservancy threshold obtained from the preset database to determine whether to execute the first deployment control is as follows: If the water conservancy condition analysis index is less than the water conservancy threshold, the fish barrier electric fence deployment control will not be implemented. If the water conservancy condition analysis index is not less than the water conservancy threshold, then the first arrangement and regulation shall be adopted; The specific process of adopting the first arrangement and control is as follows: Compare the water depth with the initial water depth: If the water depth is greater than the initial water depth, increase the height of the fish barrier electrodes and decrease the spacing between the fish barrier electrodes. If the water depth is not greater than the initial water depth, then reduce the spacing between the fish-blocking electric grid electrodes.

6. The method for designing and arranging fish-blocking electric fences based on hydraulic conditions analysis as described in claim 5, characterized in that: The specific process for increasing the height of the fish-blocking electric grid electrode is as follows: The water depth and the initial water depth are obtained, wherein the initial water depth represents the water depth at the first preset time point; The water depth difference is obtained by calculating the difference between the water depth at a preset time point and the initial water depth. The water depth difference represents the difference between the water depth and the initial water depth. The height of the fish-blocking electric grid electrode is increased according to the corresponding water depth difference at the preset time point.

7. The method for designing and arranging fish-blocking electric fences based on hydraulic condition analysis as described in claim 5, characterized in that: The specific steps for reducing the spacing of the fish-blocking electric grid electrodes are as follows: Step 1: Obtain the target electric field strength, which represents the electric field strength that fish can tolerate, obtained by consulting literature. Step 2: Substitute the target electric field strength and the grid supply voltage into the electric field strength formula to obtain the target electrode spacing; Step 3: Perform a difference calculation between the current electrode spacing and the target electrode spacing to obtain the distance between the reduced fish barrier electric grid electrodes.

8. The method for designing and arranging fish-blocking electric fences based on hydraulic condition analysis as described in claim 1, characterized in that: The process for obtaining the similarity index of the changing trends is as follows: Historical water conservancy data and the interval between preset time points are obtained from a preset database, and the historical water conservancy data are classified and numbered according to the category of extreme cases, and the duration of the interval is the same. Acquire a preset number of water conservancy data and historical water conservancy data at preset time points, and number the preset time points; Water conservancy data and corresponding historical water conservancy data are classified and numbered according to data category; The historical water conservancy data evaluation value for each type of historical water conservancy data is obtained based on historical water conservancy data and interval duration; Real-time water conservancy data evaluation values ​​for each type of water conservancy data are derived based on water conservancy data and interval duration. The absolute value of the difference between the historical water conservancy data assessment value and the real-time water conservancy data assessment value is used to obtain the assessment difference. The assessment difference of all categories of water conservancy data at all preset time points and the corresponding historical water conservancy data is statistically analyzed to obtain the sum of the assessment differences. The average value of the evaluation difference is obtained by calculating the ratio of the sum of the evaluation differences to the corresponding quantity of the evaluation difference, and the similarity index of the change trend is derived based on the average value of the evaluation differences.

9. The method for designing and arranging fish-blocking electric fences based on hydraulic conditions analysis as described in claim 8, characterized in that: The specific process of comparing the trend similarity index with the trend threshold to determine whether to take corresponding second-order control measures is as follows: The flood trend similarity index is compared with the flood threshold. If the flood trend similarity index is greater than the flood threshold, the second arrangement control is not executed; otherwise, the spacing of the fish barrier electric grid electrodes is shortened. The drought trend similarity index is compared with the drought threshold. If the drought trend similarity index is greater than the drought threshold, the second arrangement control is not executed. Otherwise, the length of the suspension cable is extended until the fish barrier electric grid electrode is completely submerged in the water. The freezing trend similarity index is compared with the freezing threshold. If the freezing trend similarity index is greater than the freezing threshold, the second arrangement control is not executed; otherwise, the heating device is activated. The high temperature trend similarity index is compared with the high temperature threshold. If the high temperature trend similarity index is greater than the high temperature threshold, the second arrangement control is not executed; otherwise, the heat dissipation device is activated. The typhoon trend similarity index is compared with the typhoon threshold. If the typhoon trend similarity index is greater than the typhoon threshold, the second arrangement control is not executed; otherwise, the automatic power-off device is activated. The threshold values ​​for changing trends include flood threshold, drought threshold, freezing threshold, high temperature threshold, and typhoon threshold; The trend similarity indices include flood trend similarity index, drought trend similarity index, freezing trend similarity index, high temperature trend similarity index and typhoon trend similarity index.

10. The method for designing and arranging fish-blocking electric fences based on hydraulic condition analysis as described in claim 1, further comprising: If the first and second deployment controls are executed simultaneously, the second deployment control will be executed first, and a warning reminder will be issued to the pre-set staff. The warning alerts include instruction alerts, visual alerts, and auditory alerts.

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