A comprehensive monitoring method for pumped storage power station

Abstract

The present invention discloses a comprehensive monitoring method for a pumped-storage power station, which connects data analysis equipment such as drones, rainfall detection instruments, flow meters, lidars and sonar systems through wireless communication modules to collect rainfall data, high-precision three-dimensional terrain, and water scheduling data in real time. The method can calculate the actual and maximum water storage capacity of the power station, analyze the relationship between rainfall and water storage increment, monitor the power station status according to the water level increment, and estimate the rainfall in the area through an averaging algorithm to provide real-time water level data for staff. Compared with traditional manual monitoring methods, the present invention can comprehensively and effectively monitor the water level status of a pumped-storage power station, realize effective management and control of the water level of the entire power station, and provide strong support for safe operation.

Description

Technical Field

[0001] The present invention belongs to the field of technical monitoring, and specifically relates to a comprehensive monitoring method for a pumped storage power station. Background Art

[0002] Since the concept of pumped storage power station was proposed in the early 20th century, with the large-scale development of renewable energy and the maturity of technology, pumped storage power station has been widely used as an important means of peak load regulation and energy storage. Since the scale of general pumped storage power stations is relatively large, it is inevitable that various data monitoring will be neglected.

[0003] When monitoring a pumped storage power station, the existing technology often focuses on its internal structure, such as the monitoring of the generator set or the monitoring of the pumping pump. However, the power station will also be affected by the rainfall and water level changes during operation. Once problems occur, it is usually accompanied by large economic losses. In order to solve the above problems, the present method provides a technical solution that can comprehensively monitor the rainfall and water level changes of a pumped storage power station. Summary of the invention

[0004] The purpose of the present invention is to provide a comprehensive monitoring method for a pumped storage power station, so as to solve the problem that the prior art cannot monitor the rainfall and water level changes of the upper and lower reservoirs in real time and perform regulation during the monitoring of the pumped storage power station.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A comprehensive monitoring method for a pumped storage power station comprises the following steps:

[0007] S1. Survey and map the three-dimensional terrain model of the upper and lower reservoirs and their surroundings;

[0008] S2, calculating the maximum water storage data and current water storage data of the upper and lower reservoirs according to the three-dimensional terrain model map;

[0009] S3, combining the satellite cloud image system and the rainfall point deviation model to determine the cloud state, arrange the drones according to the cloud state and adjust the sampling frequency of the rainfall detection instrument;

[0010] S4. Use drones to carry rainfall detection instruments to measure rainfall in the reservoir area;

[0011] S5. Combining the rainfall data, the maximum water storage capacity data of the reservoir and the current water storage capacity data, obtaining the water level change data caused by the rainfall;

[0012] S6. Install flow meters to monitor reservoir water dispatch data and calculate the impact of water dispatch on water level;

[0013] S7. Define the water level safety status determination method, preset the safety water level threshold, and evaluate and monitor the current reservoir water level;

[0014] S8. Regulate the water level of the reservoir according to the result of the water level safety status determination method and the water volume dispatching operation;

[0015] S9. Calculate the water level increment caused by rainfall, calculate the water level difference based on the actual water level change, and monitor the water level difference.

[0016] As a further solution of the present invention, the method for calculating the maximum water storage data and the current water storage data of the upper and lower reservoirs in S2 is as follows:

[0017] Get the current water level H according to the point coordinate data current and the current height h of the reservoir, use the integration method to calculate the maximum water storage capacity and current water storage capacity of the reservoir.

[0018] As a further solution of the present invention, the method for determining the cloud state in S3 includes the following steps:

[0019] S31. Identify clouds that cause rainfall in the reservoir area;

[0020] S32, obtaining cloud data that causes rainfall in the reservoir area, and calculating the cloud area change rate, cloud brightness change rate, and cloud movement speed change rate;

[0021] S33. Setting a change rate threshold for each change rate. If any change rate exceeds the preset threshold, the cloud state is marked as changing, otherwise it is marked as stable.

[0022] As a further solution of the present invention, a method for arranging drones according to the state of the cloud is as follows:

[0023] When the cloud state is stable, the drones are evenly arranged on the water surface for measurement using a random distribution method;

[0024] When the cloud state changes, the reservoir is divided equally according to the four-quadrant coordinates. The corresponding impact factors are calculated according to the thickness and coverage of the clouds in each quadrant, and the number of drones in each quadrant is adjusted according to the proportion of the impact factors in each quadrant.

[0025] As a further solution of the present invention, the method for calculating the impact factor of each quadrant comprises the following steps:

[0026] S51, taking the ratio of the area covered by the cloud clusters corresponding to the first to fourth quadrants to the total area of ​​the first to fourth quadrants as the cloud cluster coverage rate of the first to fourth quadrants and recording them as C1, C2, C3, C4;

[0027] S52. Take the ratio of the average thickness of the cloud clusters in the first to fourth quadrants as the thickness influence weights of the first to fourth quadrants, denoted as D1, D2, D3, and D4;

[0028] S53. According to the formula:

[0029] M k =C k ×D k

[0030] Calculate the influence factors of each quadrant, where represents the cloud coverage rate of the kth quadrant, represents the thickness influence weight of the kth quadrant, and the value of k is 1, 2, 3, 4, representing the first to fourth quadrants respectively. The ratio of the influence factors of each quadrant is the ratio of the number of drones in each quadrant.

[0031] As a further solution of the present invention, arranging the drones further includes setting a window period for the drones to perform operations and an automatic recovery program;

[0032] Set a fixed window period, and mark the window period time as T window , mark the start working time of the drone as t1, and calculate the time to reach the next window period as t2, then t2 = t1 + T can be obtained window , so t2 - t1 = T window Regard it as the time to reach the window period. After reaching the window period, re - obtain the cloud cluster data, adjust the arrangement of the drones, and clear t1 and t2, and start timing again until the next window period;

[0033] Set an automatic recovery program, set an idle period for the rainfall detection instrument as T null , mark the time when the rainfall detection instrument cannot detect rainfall as t3, and t3 increases with time. When the rainfall detection instrument can detect rainfall, clear t3. When the time of t3 increases to t3 ≥ T null , stop detecting rainfall, exit the drone fleet, and send the detection data during this period to the terminal.

[0034] As a further solution of the present invention, for the detection frequency of the rainfall detection instrument, according to the rainfall situation obtained from the satellite cloud map system, preset L1, L2, and L3 to represent different rainfall situations respectively, where L1 < L2 < L3. Set sampling frequency levels A1, A2, and A3 for the sampling frequency of the rainfall detection instrument, where the sampling frequency A1 < A2 < A3, and the adjustment of the sampling frequency corresponds to the rainfall situation respectively.

[0035] As a further solution of the present invention, the water level safety state determination method includes the following steps:

[0036] S81. Preset the minimum safe water level threshold and the maximum safe water level threshold according to the actual reservoir situation;

[0037] S82, obtain current water level data W meas ;

[0038] S83, when W min ≤W meas ≤W max The current water level is considered normal, otherwise, it is considered abnormal.

[0039] As a further solution of the present invention, the water level control includes an early warning feedback processing mechanism. If the current water level W meas ≤W min , or the current water level W meas ≥W max When the water level exceeds the threshold, an early warning is sent to remind the monitoring personnel of the power station to adjust the water level in time. If no one handles the early warning after a period of time, the discharge valve or pump is opened to dispatch the water before it exceeds the threshold.

[0040] Beneficial effects of the present invention:

[0041] (1) The present invention utilizes a group of drones carrying rainfall detection instruments to effectively collect rainfall data on the surface of the reservoir. Compared with the traditional method of estimating the rainfall in the reservoir by manually measuring the rainfall data around the reservoir, this method improves the accuracy and real-time performance of the data. In addition, combined with the satellite cloud image system, the dynamic information of the cloud cluster can be obtained in real time, so as to timely adjust the arrangement of the drones and the sampling frequency of the rainfall detection instruments, further improving the accuracy of data collection;

[0042] (2) The present invention monitors the difference between the water level increment caused by rainfall and the actual water level data, and performs anomaly detection in combination with a set difference threshold, so as to timely discover potential safety hazards, such as leakage or upstream disaster events, thereby reminding power station monitoring personnel to take prompt measures to prevent the accident from expanding. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention will be further described below in conjunction with the accompanying drawings.

[0044] Figure 1 It is a structural schematic diagram of the monitoring method of the present invention;

[0045] Figure 2 Schematic diagram of the logic flow of the water level monitoring method in Example 1;

[0046] Figure 3 Schematic diagram of the cloud state detection method and drone deployment method in Example 2. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] A comprehensive monitoring method for a pumped storage power station, such as Figure 1 As shown, the method includes:

[0049] The first step is to deploy wireless communication modules in and around the pumped storage power station. During the installation process, the signal in each place should be tested to see if it is blocked by buildings, vegetation, terrain and other practical factors to ensure that the signal can meet the data interaction standards, so as to connect the surrounding operating instruments and equipment and send and receive real-time transmission data;

[0050] The second step is to use the laser radar fixed on the ground and the underwater sonar system to jointly map the three-dimensional terrain model of the upper and lower reservoirs of the power station and their surroundings, and set the update time to update the data in time;

[0051] Emphasis is placed on recording the three-dimensional terrain model map of the upper and lower reservoirs of the power station and the corresponding coordinate water levels, and calculating the maximum water storage data and current water storage data of the upper and lower reservoirs.

[0052] The third step is to obtain the current cloud status based on the satellite cloud image system and plan the allocation and arrangement of drones based on the cloud status;

[0053] The fourth step is to use a group of drones equipped with high-definition cameras and rainfall detection instruments to detect the rainfall in the upper and lower reservoirs of the pumped storage power station. It should be noted that the drone group used for rainfall detection needs to undergo the following special treatment: a shielding cover is installed at the propeller position of the drone to reduce the impact of the airflow generated by the propeller on the detection instrument;

[0054] The fifth step is to use the regional average algorithm to process the rainfall data measured by the drone group and obtain the final rainfall data;

[0055] Step 6: Install a flow meter at the connection point between the upper and lower reservoirs to measure the real-time data when water volume regulation occurs and cooperate with steps 2 to 5 to jointly monitor and control the water levels of the upper and lower reservoirs;

[0056] Step 7: By monitoring the current rainfall, calculate the water level increment caused by real-time rainfall; combine the actual water level change to obtain the corresponding water level difference, which should be within a certain range (set the maximum water level difference threshold and the minimum water level difference threshold). The water level difference should come from rainfall outside the power station reservoir area and the inflow of surface water and groundwater;

[0057] The water level difference is analyzed and judged. When the water level difference is less than the minimum water level difference threshold or greater than the maximum water level difference threshold, it is considered that the current reservoir water level is abnormal, and an early warning needs to be issued to remind the power station monitoring personnel to conduct an investigation.

[0058] Example 1

[0059] In the second step, the rainfall monitoring method and the water level monitoring method are as follows Figure 2 As shown, the method includes:

[0060] Use the GPS positioning system, sonar system and water gauge to process the current water level data, and send a request in real time to verify whether the current water level is within the normal threshold range. The water level comparison formula in the water level safety status judgment method can be used:

[0061]

[0062] Among them, W status The water level status mark is used to calibrate whether the currently measured water level is in a safe state; W min is the preset minimum safe water level threshold; W max is the preset maximum safe water level threshold; W meas is the actual water level measured at the current coordinate;

[0063] According to the above formula, if the actual water level W measured at the current coordinate meas Located in W min and W max If the water level is between 0 and 1, the water level is considered to be within the safe range, that is, the water level state is 0 (normal state signal), and an electrical signal is transmitted to the terminal to indicate that the water level is normal; otherwise, the water level will be considered abnormal (that is, an abnormal state signal of -1 or 1, where -1 indicates that the current water level is lower than the minimum water level threshold; 1 indicates that the current water level is higher than the maximum water level threshold), and an electrical signal is transmitted to the terminal to indicate that the water level is abnormal, and an alarm is triggered to prompt the power station staff;

[0064] The calculation of regional rainfall is based on the regional average algorithm to estimate the average rainfall of the entire reservoir area. The regional average algorithm formula is as follows:

[0065]

[0066] in, is the average rainfall in the reservoir area, R i is the rainfall measured by the i-th UAV, n represents the total number of UAVs carrying rainfall detection instruments in the area, i represents a counting index, starting from 1 and the maximum value is n;

[0067] The rainfall increment within a certain period of time can be calculated by combining the average rainfall obtained by the above calculation. The calculation formula is as follows:

[0068]

[0069] Where ΔV is the increase in water storage after a period of time, A is the area of ​​the reservoir, and t is the duration of rainfall.

[0070] Maximum water storage capacity V for the upper and lower reservoirs max 、Current water storage capacity V current The calculation method and formula are as follows:

[0071]

[0072] and:

[0073]

[0074] The maximum water storage capacity V of the upper and lower reservoirs is obtained by calculation max , and the current water storage capacity V current Among them, V max is the maximum water storage capacity, H max is the maximum water level, A(h) is the water surface area at the current water level (the cross-sectional area at height h), V current is the current water storage capacity, H current is the current water level, h is any height below the water level and above the water surface in the reservoir, and dh represents a small change in height h;

[0075] Combining the above-obtained rainfall increment, current water storage capacity and maximum water storage capacity, the current water levels of the upper and lower reservoirs can be monitored to ensure that the current water storage capacity does not exceed the maximum limit of the upper and lower reservoirs;

[0076] Specifically, the new water storage capacity can be calculated according to the formula:

[0077] V new =V current +ΔV

[0078] Determine the water storage capacity of the upper and lower reservoirs after precipitation, where V new It is the new current water storage capacity of the reservoir after the accumulation of precipitation;

[0079] If the new water storage capacity V new Greater than or approaching the maximum water storage capacity V max When an alarm is triggered, the alarm information will be sent to the monitoring personnel;

[0080] If no one handles the warning message within a period of time, the terminal's pre-set automatic program should be activated tomax Previously, the drain valve or pump was opened to adjust the water volume;

[0081] Flow meters are installed at the discharge valves and pumps of the upper and lower reservoirs to monitor the water dispatching data between the upper and lower reservoirs, obtain real-time water flow data, and calculate the total water volume data of the water dispatching in combination with the discharge or extraction time;

[0082] Based on the total amount of water volume data obtained for water volume dispatch, combined with the maximum water storage data and current water storage data of the target reservoir, the water level change caused by this water volume dispatch is calculated;

[0083] To summarize, ensure that the water volume in the upper and lower reservoirs and the water storage tank is controlled within a safe range (not exceeding the maximum water storage capacity of the upper and lower reservoirs).

[0084] Example 2

[0085] Cloud state detection method and drone deployment method Figure 3 As shown, the following solutions are included:

[0086] When the satellite cloud image system monitors clouds, the wind speed or airflow may cause the rainfall point to shift during the rainfall process. For example, due to the wind speed, the rainfall from the cloud one kilometer away may shift and fall into the reservoir to be measured. Therefore, before deploying the drone, it is necessary to confirm that the cloud currently being measured is the cloud that falls in the reservoir area.

[0087] Combining the cloud movement speed data, wind speed data, wind direction data and convolutional neural network (CNN) in the satellite cloud image system, a rainfall point offset model can be established. The model predicts the offset of the rainfall point according to the current cloud position, wind speed and wind direction, and identifies the clouds that cause rainfall in the reservoir area.

[0088] By combining the satellite cloud image system and the rainfall point deviation model, the cloud data that causes rainfall in the reservoir area is obtained, including cloud area data, cloud brightness data, and cloud movement speed data.

[0089] By performing statistical analysis on several cloud image data obtained within a preset time t, the cloud area change rate, cloud brightness change rate, and cloud movement speed change rate are calculated, and respective change rate thresholds are set (the threshold should be determined by the actual reservoir geographical environment); when any one of the cloud area change rate, cloud brightness change rate, and cloud movement speed change rate exceeds the specified change rate threshold, the current cloud is marked as changing; conversely, when the change rates of all data are within the threshold range, the cloud is marked as stable.

[0090] Deploy drone swarms based on cloud status;

[0091] When the cloud state is stable, the drone is placed on the surface of the reservoir using a random distribution method to hover and measure rainfall, ensuring that the distribution points are random and uniform, avoiding being too dense or sparse.

[0092] When the cloud state is changing, firstly, the water surface area of ​​the reservoir is divided into four parts according to the four-quadrant distribution method based on the geographic coordinate system of the reservoir, namely the first quadrant (upper right), the second quadrant (upper left), the third quadrant (lower left) and the fourth quadrant (lower right);

[0093] Image processing technology combined with the rainfall point deviation model was used to identify the size (coverage area) and thickness of the cloud clusters that caused rainfall in the reservoir area, and the number of drones in the four quadrants was adjusted according to the thickness and coverage of the clouds.

[0094] The specific UAV adjustment division method is as follows:

[0095] First, determine the geographical coordinates of the reservoir center and use them as the origin of the four-quadrant coordinate system. Use the north as the positive direction of the Y axis and the east as the positive direction of the X axis to divide the entire area into four quadrants of equal area.

[0096] The ratio of the area covered by the cloud clusters corresponding to the first to fourth quadrants to the total area of ​​the first to fourth quadrants is taken as the cloud cluster coverage rate of the first to fourth quadrants and recorded as C1, C2, C3, C4;

[0097] The ratio of the average thickness of the clouds in the first to fourth quadrants is used as the thickness influence weight of the first to fourth quadrants, denoted as D1, D2, D3, and D4. The cloud thickness is proportional to the thickness influence weight.

[0098] After obtaining the impact factors of each quadrant through the impact factor calculation formula, the number of drones that should be allocated to each quadrant is calculated based on the ratio between the impact factors. The ratio of the impact factors of each quadrant is the ratio of the number of drones in each quadrant.

[0099] The impact factor calculation formula is as follows:

[0100] M k =C k ×D k

[0101] Among them, M k represents the impact factor of the kth quadrant, C k represents the cloud coverage rate of the kth quadrant, D k represents the thickness influence weight of the kth quadrant, and the value of k is 1, 2, 3, and 4, representing each quadrant respectively;

[0102] For example, the current total number of drones is 100, and the ratio of the impact factors in the first to fourth quadrants is 1:2:1:1, then the corresponding number of drones in the first to fourth quadrants is 20:40:20:20;

[0103] The drones are divided into four groups according to the proportion of the influencing factors in each quadrant and evenly distributed in their respective quadrants;

[0104] A drone monitoring window period is set. For example, a five-minute window period is set. When the monitoring time reaches five minutes, the drone group is rearranged according to the real-time cloud data obtained by the satellite cloud image system.

[0105] When the drone cannot detect rainfall, it starts the automatic recovery program, stops detecting rainfall, exits the fleet, and sends the detection data during that period to the terminal;

[0106] Finally, according to the rainfall degree data (such as light rain, moderate rain, heavy rain) obtained by the satellite cloud image system, the corresponding sampling frequency of the rainfall detection instrument is set (the rainfall increases from small to large, and the sampling frequency increases from low to high).

[0107] Example 3

[0108] In the actual rainfall detection environment, the detection accuracy of rainfall will be affected by environmental factors, including the airflow generated by the rotation of the drone propeller. Therefore, a shield is added to the propeller of each drone to eliminate the airflow generated by the rotation of the propeller;

[0109] The terminal stores the rainfall data detected by the drone, and averages the rainfall detection data through the regional averaging algorithm to obtain the final average rainfall data.

[0110] Example 4

[0111] The current rainfall is detected by the drone, and the maximum water storage capacity V calculated in Example 1 is calculated. max 、Current water storage capacity V current And the water storage capacity increment ΔV, the water level increment caused by rainfall can be obtained and the water level increment can be monitored;

[0112] There will be a certain difference between the water level increment caused by rainfall and the final actual water level data. This difference mainly comes from the accumulation of rainfall in the surrounding areas of the reservoir and the inflow of surface water and groundwater.

[0113] Combine historical rainfall data, historical water level data, historical water level difference and rainfall data monitored by the drone this time to set a threshold for the water level difference of this rainfall, which includes a maximum water level difference threshold and a minimum water level difference threshold;

[0114] When the water level difference is less than the minimum water level difference threshold, it is considered that the current water level is abnormal and leakage may occur;

[0115] When the water level difference is greater than the maximum water level difference threshold, the current water level is considered abnormal, and there may be a flood disaster upstream of the reservoir or a drainage function failure;

[0116] When the water level is abnormal, an early warning needs to be issued to remind the power station monitoring personnel to conduct timely problem investigation.

[0117] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

Claims

1. A comprehensive monitoring method for a pumped storage power station, characterized in that: It includes the following steps: S1. Survey and map the three-dimensional topographic model diagrams of the upper and lower reservoirs and their surrounding areas; S2. Calculate the maximum water storage data and the current water storage data of the upper and lower reservoirs according to the three-dimensional topographic model diagrams; S3. Combine the satellite cloud image system and the rainfall landing point offset model to judge the cloud mass state, arrange the unmanned aerial vehicles according to the cloud mass state, and adjust the sampling frequency of the rainfall detection instruments; S4. Use the unmanned aerial vehicles carrying rainfall detection instruments to measure the rainfall in the reservoir area; S5. Combine the rainfall data, the maximum water storage data of the reservoir, and the current water storage data to obtain the water level change data caused by rainfall; S6. Install a flowmeter to monitor the reservoir water volume scheduling data and calculate the impact of water volume scheduling on the water level; S7. Define the water level safety state judgment method, preset the safety water level threshold, and evaluate and monitor the feedback of the current reservoir water level; S8. Regulate the water level of the reservoir according to the results of the water level safety state judgment method and the water volume scheduling operation; S9. Calculate the water level increment caused by rainfall, combine the actual water level change to obtain the water level difference, and monitor the water level difference; 2. A comprehensive monitoring method for a pumped storage power station according to claim 1, characterized in that: The methods for calculating the maximum water storage data and the current water storage data of the upper and lower reservoirs in S2 are as follows: Get the current water level H according to the point coordinate data current and the current height h of the reservoir, use the integration method to calculate the maximum water storage capacity and current water storage capacity of the reservoir.

3. A comprehensive monitoring method for a pumped storage power station according to claim 1, characterized in that: The method for judging the cloud mass state in S3 includes the following steps: S31. Identify the cloud mass causing rainfall in the reservoir area; S32. Obtain the cloud mass data causing rainfall in the reservoir area, and calculate the cloud mass area change rate, the cloud mass brightness change rate, and the cloud mass moving speed change rate; S33. Set the change rate thresholds for the change rates described in S32. If any one of the change rates exceeds the preset threshold, mark the cloud mass state as changed, otherwise mark it as stable; 4. A comprehensive monitoring method for a pumped storage power station according to claim 3, characterized in that: The method for arranging the unmanned aerial vehicles according to the cloud mass state is as follows: When the cloud mass state is stable, use the random distribution method to evenly arrange the unmanned aerial vehicles on the water surface for measurement; When the cloud mass state is changed, divide the reservoir equally according to the four-quadrant coordinates, calculate the corresponding influence factors according to the thickness and coverage degree of the cloud mass in each quadrant, and adjust the number of unmanned aerial vehicles in each quadrant according to the proportion of the influence factors in each quadrant; 5. A comprehensive monitoring method for a pumped storage power station according to claim 4, characterized in that: The method for calculating the influence factors in each quadrant includes the following steps: S51. Take the ratio of the area covered by the cloud mass corresponding to the first to the fourth quadrants to the total area of the first to the fourth quadrants respectively as the cloud mass coverage rates of the first to the fourth quadrants, and denote them as C1, C2, C3, and C4; S52. Take the ratio of the average thickness of the cloud mass in each of the first to the fourth quadrants as the thickness influence weights of the first to the fourth quadrants, and denote them as D1, D2, D3, and D4; S53. According to the formula: M k =C k ×D k Calculate the influence factor M of each quadrant k , where C k represents the cloud coverage rate of the kth quadrant, D k Represents the thickness influence weight of the kth quadrant, the value of k is 1, 2, 3, 4, representing the first to fourth quadrants, and the ratio of the influence factors of each quadrant is the ratio of the number of drones in each quadrant.

6. A comprehensive monitoring method for a pumped storage power station according to claim 4, characterized in that: Arranging the unmanned aerial vehicles also includes setting the execution window period and the automatic recovery program of the unmanned aerial vehicles; Set a fixed window period, and the window period time is marked as T window , the start time of the UAV is recorded as t1, and the time to reach the next window period is recorded as t2, and we can get t2 = t1 + T window , so t2-t1=T window The time when the window period is reached is regarded as the time when the window period is reached. After the window period is reached, the cloud data is acquired again, the drone arrangement is adjusted, and t1 and t2 are cleared, and the timing starts again until the next window period; Set up an automatic recycling program and set a window period for the rainfall detection instrument, record it as T null , the time when the rainfall detection instrument cannot detect rainfall is recorded as t3, t3 increases with time, when the rainfall detection instrument can detect rainfall, t3 is cleared, when t3 increases to t3 ≥ T null When the rainfall is detected, the cluster stops detecting rainfall and exits, and the detection data during this period is sent to the terminal.

7. A comprehensive monitoring method for a pumped storage power station according to claim 3, characterized in that: Adjustment of the detection frequency of the rainfall detection instruments; According to the rainfall situation obtained from the satellite cloud image system, preset that L1, L2, and L3 respectively represent different rainfall situations, where the rainfall situation L1 < L2 < L3, set the sampling frequency levels A1, A2, and A3 for the sampling frequency of the rainfall detection instruments, where the sampling frequency A1 < A2 < A3, and the adjustment of the sampling frequency corresponds to the rainfall situation respectively; 8. A comprehensive monitoring method for a pumped storage power station according to claim 1, characterized in that: The water level safety state judgment method in S7 includes the following steps: S81. Preset the minimum safe water level threshold W according to the actual reservoir situation min and the highest safe water level threshold W max ; S82, obtain current water level data W meas ; S83, when W min ≤W meas ≤W max The current water level is considered normal, otherwise, it is considered abnormal.

9. A comprehensive monitoring method for a pumped storage power station according to claim 1, characterized in that: In S8, the water level is regulated, and an early warning feedback processing mechanism is also included. If the current water level W meas ≤W min , or the current water level W meas ≥W max When the water level exceeds the threshold, an early warning is sent to remind the monitoring personnel of the power station to adjust the water level in time. If no one handles the early warning after a period of time, the discharge valve or pump is opened to dispatch the water before it exceeds the threshold.

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