Flood prevention drainage digital intelligent dynamic monitoring and early warning method and system

Abstract

The invention relates to a flood prevention drainage digital intelligent dynamic monitoring and early warning method and system, and relates to the technical field of flood prevention drainage, and the system comprises a touch screen all-in-one machine which is used for man-machine interaction and system operation state display; the relays are used for controlling on-off of a loop where the water pump is located; the number of the relays corresponds to that of the water pumps; the at least one liquid level sensor is used for detecting the water level height in real time; the at least one current sensor is used for monitoring current data during operation of the water pump; and a control main board. The control mainboard is electrically connected with the touch screen all-in-one machine, the relay, the liquid level sensor and the current sensor; the control main board predicts the water level rising trend based on the water level height monitored in real time and a water level prediction model and controls the corresponding water pump to be started by controlling the relay to be switched on based on the water level rising trend.

Description

Technical Field

[0001] The present application relates to the technical field of flood control and drainage, and in particular to a digital and intelligent dynamic monitoring and early warning method and system for flood control and drainage. Background Art

[0002] Traditional flood control and drainage systems often rely on manual inspections and simple mechanical controls, and are unable to respond promptly and effectively to sudden water level rises, leading to increased risks of urban flooding, property damage, and even casualties.

[0003] Although the flood control and drainage systems currently available on the market have achieved automated operation to a certain extent, most of them trigger alarms or start drainage equipment based on predetermined thresholds. They lack the ability to predict water level change trends and cannot take measures in advance. Summary of the Invention

[0004] In order to at least partially solve the above technical problems, the present application provides a digital and intelligent dynamic monitoring and early warning method and system for flood control and drainage.

[0005] In the first aspect, the digital dynamic monitoring and early warning system for flood control and drainage provided in this application adopts the following technical solution.

[0006] A digital and intelligent dynamic monitoring and early warning system for flood control and drainage, characterized by including: Touch screen all-in-one machine: used for human-computer interaction and displaying system operation status; Several relays: used to control the on / off of the circuit where the water pump is located; the number of the relays corresponds to the number of the water pumps; At least one liquid level sensor: used to detect the water level in real time; At least one current sensor: used to monitor the current data when the water pump is running; and Control mainboard; the control mainboard is electrically connected to the touch screen all-in-one machine, relay, liquid level sensor and current sensor; The control mainboard predicts the rising trend of the water level based on the real-time monitored water level height and the water level prediction model, and controls the conduction of the relay to control the corresponding water pump to start based on the rising trend of the water level.

[0007] By adopting the above technical solution, the control main board can predict the rising trend of the water level based on the monitored water level height and the water level prediction model and respond in advance. By controlling the conduction state of the relay to start the corresponding water pump, flood prevention and drainage can be carried out earlier.

[0008] Optionally, the control mainboard predicts a water level rising trend based on the real-time monitored water level height and a water level prediction model, and controls the conduction of the relay to control the corresponding water pump to start based on the water level rising trend, including: After the control board receives the real-time water level height from the liquid level sensor, it calculates the current water level rising rate ;in, is the water level height collected last time, H is the current water level height, and t is the sampling interval of the liquid level sensor; Calculate the current water level H and the initial water level Height difference ; The current water level height H and the water level rise rate R are input into a pre-trained water level judgment model; the water level judgment model predicts the water level change trend in the first time period in the future, and outputs the expected rate of water level rise or fall and the expected water level height; Get the time difference between the current time and the last pump start time based on the current time ; If the water level change trend is predicted, the rising rate R exceeds the preset first threshold value within the first time period And the expected water level is higher than the safe water level, and the control board controls all relays connected to the water pumps to be in the on state; If the water level change trend is predicted, the rising rate R in the first time period is less than the first threshold And the rising rate R is a positive number; judge the time difference Is it greater than the preset start delay? If it is greater than the preset start delay, the corresponding number of water pumps will work based on the rising rate, and the relays connected to the corresponding number of water pumps will be immediately controlled to be in the on state; if it is less than the preset start delay, the time difference When the time is greater than the preset start delay, the relays connected to the corresponding number of water pumps are in the on state; If the rising rate R is negative in the first time period in the predicted water level change trend, a corresponding number of water pumps are operated based on the rising rate matching, and the relays connected to the corresponding number of water pumps are controlled to be in the on state.

[0009] Optionally, the number of the liquid level sensors is greater than three, one of which is a backup sensor, and the backup sensor is initially configured to be in a closed state; After receiving the water level heights sent by different liquid level sensors, the control mainboard randomly selects one liquid level sensor as a comparison object, and calculates the difference between the water level heights sent by the remaining liquid level sensors to obtain a deviation value; the control mainboard determines whether the deviation value is greater than the allowable deviation, and if so, controls the standby sensor to work and re-obtain the water level height sent by the standby sensor; The control main board compares the water level height obtained by the backup sensor with the newly obtained water level heights of the two liquid level sensors whose deviation values are greater than the allowable deviation, and determines that the liquid level sensor with a larger deviation from the water level height obtained by the backup sensor is faulty; the control main board controls the faulty liquid level sensor to be in a closed state; the control main board uses the average value of the water level heights sent by all the remaining liquid level sensors in working state as the current water level height.

[0010] Optionally, the system further comprises a variable frequency drive; the variable frequency drive is electrically connected to the motor of the water pump, and the variable frequency drive is used to adjust the power supply frequency of the motor to adjust the motor speed; the variable frequency drive is electrically connected to the control mainboard; Among them, the control main board compares the current data sent by the current sensor with the target current value to obtain the deviation between the two; calculates the control signal based on the PID algorithm based on the deviation; converts the control signal into a frequency instruction of the variable frequency drive; and sends the frequency instruction to the variable frequency drive to adjust the speed of the motor so that the speed of the motor reaches the target value.

[0011] Optionally, the control mainboard is further used for: Establish a multi-objective optimization model based on drainage efficiency, pump energy consumption and pump life; Randomly generate N individuals as an initial population, each of which represents a set of speed setting schemes for a water pump motor; each individual is represented by a vector, and each element in the vector represents the speed of a single water pump motor; For each individual, drainage efficiency, energy consumption, and impact on equipment life are calculated to form a multidimensional fitness vector; Perform non-dominated sorting based on the fitness vector and select individuals on the Pareto front as parents; Randomly select a crossover point and exchange some of the speed settings of the two parent individuals at this point to generate new offspring individuals; Randomly change the speed setting of a water pump to explore different solution spaces; The offspring individuals after crossover and mutation are added to the population, and the individuals with poor performance are replaced according to the fitness value to form a new generation of population; Determine whether a termination condition is met, and if so, output the current optimal solution set; the termination condition includes reaching a predetermined maximum number of iterations; The rotational speed of each water pump is configured based on a solution in the optimal solution set.

[0012] Optionally, the step of generating the water level prediction model includes: Collect historical water level data and conduct time series analysis on the historical water level data; Constructing a water level prediction model based on the autoregressive moving average model; Use the training set data to train the water level prediction model; The trained water level prediction model is verified using the test set data to determine whether the confidence of the water level prediction model reaches the preset confidence level; if so, the trained water level prediction model is obtained.

[0013] Optionally, the control mainboard is also used to monitor whether the liquid level sensor circuit is normal; when the liquid level sensor circuit is disconnected, the control mainboard issues an alarm prompt through an alarm device.

[0014] Optionally, the control main board is further used to: determine whether a current abnormality occurs based on the current data, and when it is determined that the current is abnormal, control the relay electrically connected to the corresponding water pump to be in a closed state.

[0015] Secondly, the digital dynamic monitoring and early warning method for flood control and drainage provided in this application adopts the following technical solution.

[0016] A digital and intelligent dynamic monitoring and early warning method for flood control and drainage, based on the above system, includes: The liquid level sensor detects the water level in real time; The current sensor monitors the current data of the water pump when it is running; The control main board predicts the rising trend of the water level based on the real-time monitored water level height and the water level prediction model, and controls the conduction of the relay to control the corresponding water pump to start based on the water level rising trend. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a system block diagram of a digital and intelligent dynamic monitoring and early warning system for flood control and drainage according to an embodiment of the present application; Figure 2 This is a flow chart of the digital dynamic monitoring and early warning method for flood control and drainage according to an embodiment of the present application; In the figure, 101 is a touch screen integrated machine; 102 is a relay; 103 is a liquid level sensor; 104 is a current sensor; and 105 is a control main board. DETAILED DESCRIPTION

[0018] The following is combined with Figure 1-2 The present application is further described with reference to the following specific examples: The present application discloses a digital and intelligent dynamic monitoring and early warning system for flood control and drainage, including: Touchscreen all-in-one 101: This is used for human-computer interaction and displays system operating status. Specifically, the touchscreen all-in-one integrates display and touch functions for human-computer interaction. The touchscreen all-in-one displays the system's operating status, real-time water level, and pump operating status, and allows users to operate the system via touchscreen.

[0019] Relays 102: These control the on / off state of the circuits containing the water pumps. The number of relays corresponds to the number of water pumps. Specifically, the relays control the on / off state of the circuits containing the water pumps, starting or stopping the corresponding water pumps based on commands from the control board 105. The number of relays corresponds to the number of water pumps; generally, each relay corresponds to one water pump.

[0020] At least one liquid level sensor 103: used to detect the water level in real time. The liquid level sensor monitors the water level in the waterlogged area in real time and sends the monitored water level to the control mainboard.

[0021] At least one current sensor 104 is used to monitor the current data of the water pump when it is running.

[0022] The control mainboard 105 is electrically connected to the touch screen integrated machine 101, the relay 102, the liquid level sensor 103 and the current sensor 104. Specifically, the control mainboard is integrated with a computing chip.

[0023] The control mainboard 101 predicts the rising trend of the water level based on the real-time monitored water level height and the water level prediction model, and controls the conduction of the relay 102 to control the corresponding water pump to start based on the rising trend of the water level.

[0024] Specifically, the control motherboard 105 predicts the rising trend of the water level based on the monitored water level height and the water level prediction model and can respond in advance. By controlling the conduction state of the relay 102 to start the corresponding water pump, the drainage efficiency is improved and flood prevention and drainage can be carried out earlier.

[0025] The following examples illustrate the solution of this application.

[0026] Suppose the digital, dynamic monitoring and early warning system for flood control and drainage, as described in this paper, is installed in an underground parking lot. A touchscreen integrated device is located at the parking lot entrance for management personnel to use. Four relays are installed, each corresponding to a water pump. A high-precision liquid level sensor is installed at the lowest point of the parking lot. Each water pump is equipped with a current sensor.

[0027] When the rainy season arrives and water begins to accumulate in the parking lot, liquid level sensors monitor the water depth in real time and transmit this data to the control board. After receiving the sensor data, the control board uses a built-in water level prediction model to analyze current water level trends. If the water level is predicted to rise rapidly within a certain period of time, exceeding a preset safety threshold, the system automatically enters emergency mode. Based on the predictions, the control board determines which pumps to activate and when. For example, if the water level is predicted to rise by 10 centimeters within the next hour, the control board activates the corresponding pumps by closing the corresponding relays. While the pumps are operating, current sensors continuously monitor the pump current, while liquid level sensors monitor water level fluctuations. The control board dynamically adjusts the pumps' operating status based on the latest water level data. If the system detects an anomaly (such as a pump failing to start properly or current flow abnormalities), the control board immediately issues an alarm and displays the alert on the touchscreen integrated device.

[0028] As a specific implementation of a digital and intelligent dynamic monitoring and early warning system for flood control and drainage, the control mainboard predicts the water level rising trend based on the real-time monitored water level height and the water level prediction model, and controls the conduction of the relay to control the corresponding water pump to start based on the water level rising trend, including: After the control board receives the real-time water level height from the liquid level sensor, it calculates the current water level rising rate ;in, is the water level height collected last time, H is the current water level height, and t is the sampling interval of the liquid level sensor; Calculate the current water level H and the initial water level Height difference ; The current water level height H and the water level rise rate R are input into a pre-trained water level judgment model; the water level judgment model predicts the water level change trend in the first time period in the future, and outputs the expected rate of water level rise or fall and the expected water level height; Get the time difference between the current time and the last pump start time based on the current time ; If the water level change trend is predicted, the rising rate R exceeds the preset first threshold value within the first time period And the expected water level is higher than the safe water level, and the control board controls all relays connected to the water pumps to be in the on state; If the water level change trend is predicted, the rising rate R in the first time period is less than the first threshold And the rising rate R is a positive number; judge the time difference Is it greater than the preset start delay? If it is greater than the preset start delay, the corresponding number of water pumps will work based on the rising rate, and the relays connected to the corresponding number of water pumps will be immediately controlled to be in the on state; if it is less than the preset start delay, the time difference When the time is greater than the preset start delay, the relays connected to the corresponding number of water pumps are in the on state; If the rising rate R is negative in the first time period in the predicted water level change trend, a corresponding number of water pumps are operated based on the rising rate matching, and the relays connected to the corresponding number of water pumps are controlled to be in the on state.

[0029] Specifically, the control motherboard receives real-time water level data from the liquid level sensor, calculates the current water level rise rate and the height difference from the initial water level, and combines this with a pre-trained water level judgment model to predict future water level change trends. Based on the prediction results, the control motherboard determines when and how to start the water pumps: when the predicted water level rise rate exceeds a preset threshold and the water level is expected to exceed the safe water level, all water pumps are immediately started to quickly drain the water. If the rise rate is lower than the threshold but positive, and the time since the last start exceeds the preset delay, the corresponding number of water pumps are matched to the rise rate to ensure effective water level control without wasting energy. When the water level is predicted to be declining, the operating status of the water pumps is also adjusted according to actual needs, reducing the number of water pumps in operation. This solution improves the system's response speed and drainage efficiency, reduces energy consumption, and extends equipment life.

[0030] As a specific implementation of a digital and intelligent dynamic monitoring and early warning system for flood control and drainage, the number of the liquid level sensors is greater than three, one of which is a backup sensor, and the backup sensor is initially configured to be in a closed state; After receiving the water level heights sent by different liquid level sensors, the control mainboard randomly selects one liquid level sensor as a comparison object, and calculates the difference between the water level heights sent by the remaining liquid level sensors to obtain a deviation value; the control mainboard determines whether the deviation value is greater than the allowable deviation, and if so, controls the standby sensor to work and re-obtain the water level height sent by the standby sensor; The control main board compares the water level height obtained by the backup sensor with the newly obtained water level heights of the two liquid level sensors whose deviation values are greater than the allowable deviation, and determines that the liquid level sensor with a larger deviation from the water level height obtained by the backup sensor is faulty; the control main board controls the faulty liquid level sensor to be in a closed state; the control main board uses the average value of the water level heights sent by all the remaining liquid level sensors in working state as the current water level height.

[0031] Specifically, by configuring multiple liquid level sensors (at least one of which is a backup sensor), the control board randomly selects one liquid level sensor for comparison after receiving water level data from different liquid level sensors. It then calculates the difference between the data and the remaining liquid level sensors to obtain a deviation value. If the deviation value is greater than the preset allowable deviation, the control board activates the backup sensor and re-acquires its water level. The control board compares the data from the backup sensor with the new data from the two liquid level sensors with the larger deviation, identifying the faulty liquid level sensor and shutting it down. The control board then determines the current water level based on the average water level data from all remaining working liquid level sensors, reducing the possibility of system misjudgment due to the failure of a single liquid level sensor.

[0032] As a specific embodiment of a digital dynamic monitoring and early warning system for flood control and drainage, the system further includes a variable frequency drive; the variable frequency drive is electrically connected to the motor of the water pump, and the variable frequency drive is used to adjust the power supply frequency of the motor to adjust the motor speed; the variable frequency drive is electrically connected to the control mainboard; Among them, the control main board compares the current data sent by the current sensor with the target current value to obtain the deviation between the two; calculates the control signal based on the PID algorithm based on the deviation; converts the control signal into a frequency instruction of the variable frequency drive; and sends the frequency instruction to the variable frequency drive to adjust the speed of the motor so that the speed of the motor reaches the target value.

[0033] Specifically, the variable frequency drive is electrically connected to the water pump motor and communicates with the control main board; the control main board compares the real-time current data sent by the current sensor with the preset target current value and calculates the deviation between the two; the PID algorithm is used to calculate the control signal based on the deviation, and the control signal is converted into a frequency instruction of the variable frequency drive, and sent to the variable frequency drive to adjust the power supply frequency of the motor, thereby realizing the regulation of the motor speed. The closed-loop feedback control mechanism makes the motor speed stable near the target value, which is beneficial to the control of flood control and drainage.

[0034] As one implementation of a digital and intelligent dynamic monitoring and early warning system for flood control and drainage, the control motherboard is also used to: Establish a multi-objective optimization model based on drainage efficiency, pump energy consumption and pump life; Randomly generate N individuals as an initial population, each of which represents a set of speed setting schemes for a water pump motor; each individual is represented by a vector, and each element in the vector represents the speed of a single water pump motor; For each individual, drainage efficiency, energy consumption, and impact on equipment life are calculated to form a multidimensional fitness vector; Perform non-dominated sorting based on the fitness vector and select individuals on the Pareto front as parents; Randomly select a crossover point and exchange some of the speed settings of the two parent individuals at this point to generate new offspring individuals; Randomly change the speed setting of a water pump to explore different solution spaces; The offspring individuals after crossover and mutation are added to the population, and the individuals with poor performance are replaced according to the fitness value to form a new generation of population; Determine whether a termination condition is met, and if so, output the current optimal solution set; the termination condition includes reaching a predetermined maximum number of iterations; The rotational speed of each water pump is configured based on a solution in the optimal solution set.

[0035] Specifically, the Pareto front refers to a set of solutions in which there is no solution that is better than or equal to another solution in all objectives. Or it can be understood that the solutions on the Pareto front are a set of solutions: for any of the solutions, you cannot improve one of the objectives without worsening at least one other objective. In multi-objective optimization problems, there are usually multiple conflicting objective functions. In the flood control and drainage system of this application, there may be conflicts between the three objectives of maximizing drainage efficiency, minimizing energy consumption, and maximizing equipment life, that is, improving drainage efficiency may increase energy consumption or shorten equipment life. In this case, the solutions on the Pareto front are those that achieve the best trade-off between different objectives.

[0036] In this application, the control motherboard randomly generates N individuals as the initial population, each individual represents a set of speed setting schemes for water pump motors, and calculates the drainage efficiency, energy consumption and equipment life impact of each individual to form a multidimensional fitness vector. According to the fitness vector, non-dominated sorting is performed, and the individuals on the Pareto front are selected as parents. Then, new offspring individuals are generated through crossover operations and mutation operations that randomly change the speed setting of a certain water pump, and these offspring are added to the population, replacing the individuals with poor performance to form a new generation of population, until the predetermined maximum number of iterations is reached, and finally the current optimal solution set is output. Based on the solutions in these optimal solution sets, the system can configure the speed of each water pump to achieve a balance between drainage efficiency, energy consumption and equipment life.

[0037] As one implementation of a digital and intelligent dynamic monitoring and early warning system for flood control and drainage, the steps for generating the water level prediction model include: Collect historical water level data and conduct time series analysis on the historical water level data; Constructing a water level prediction model based on the autoregressive moving average model; Use the training set data to train the water level prediction model; The trained water level prediction model is verified using the test set data to determine whether the confidence of the water level prediction model reaches the preset confidence level; if so, the trained water level prediction model is obtained.

[0038] As one of the implementation methods of a digital dynamic monitoring and early warning system for flood control and drainage, the control main board is also used to monitor whether the liquid level sensor circuit is normal; when the liquid level sensor circuit is broken, the control main board issues an alarm prompt through the alarm device.

[0039] Specifically, when the control mainboard detects that the liquid level sensor circuit is disconnected, it immediately issues an alarm through the alarm device, quickly discovers and reports the sensor circuit fault, and ensures that the system can respond in a timely manner when an abnormality occurs.

[0040] As one of the implementation methods of a digital dynamic monitoring and early warning system for flood control and drainage, the control main board is also used to: determine whether a current abnormality occurs based on current data, and when it is determined that the current is abnormal, control the relay electrically connected to the corresponding water pump to be in a closed state.

[0041] Specifically, when the control motherboard detects that the current data of a water pump exceeds the normal range or fluctuates abnormally, it will immediately determine that the current is abnormal and control the relay connected to the water pump to be in the closed state, thereby cutting off the power supply and stopping the operation of the water pump, reducing the possibility of equipment damage due to current abnormality.

[0042] This application also provides a digital and intelligent dynamic monitoring and early warning method for flood control and drainage, based on any of the above systems, the method includes: S101, liquid level sensor detects water level in real time; S201, a current sensor monitors the current data of the water pump when it is running; S301, the control mainboard predicts the rising trend of the water level based on the real-time monitored water level height and the water level prediction model, and controls the conduction of the relay to control the corresponding water pump to start based on the water level rising trend.

[0043] It should be noted that the above embodiments are only used to illustrate the present application and are not intended to limit the technical solutions described in the present application. Although this specification has described the present application in detail with reference to the above embodiments, ordinary technicians in this field should understand that technicians in the relevant technical field can still modify or replace the present application with equivalents, and all technical solutions and improvements that do not depart from the spirit and scope of the present application should be included in the scope of the claims of the present application.

Claims

1. A digital and intelligent dynamic monitoring and early warning system for flood control and drainage, characterized by: include: Touch screen all-in-one machine: used for human-computer interaction and displaying system operation status; Several relays: used to control the on / off of the circuit where the water pump is located; the number of the relays corresponds to the number of the water pumps; At least one liquid level sensor: used to detect the water level in real time; At least one current sensor: used to monitor the current data when the water pump is running; and Control mainboard; the control mainboard is electrically connected to the touch screen all-in-one machine, relay, liquid level sensor and current sensor; The control mainboard predicts the rising trend of the water level based on the real-time monitored water level height and the water level prediction model, and controls the conduction of the relay to control the corresponding water pump to start based on the rising trend of the water level.

2. A digital and intelligent dynamic monitoring and early warning system for flood control and drainage according to claim 1, characterized in that: The control mainboard predicts the rising trend of the water level based on the real-time monitored water level height and the water level prediction model, and controls the conduction of the relay to control the corresponding water pump to start based on the rising trend of the water level, including: After the control board receives the real-time water level height from the liquid level sensor, it calculates the current water level rising rate ;in, is the water level height collected last time, H is the current water level height, and t is the sampling interval of the liquid level sensor; Calculate the current water level H and the initial water level Height difference ; The current water level height H and the water level rise rate R are input into a pre-trained water level judgment model; the water level judgment model predicts the water level change trend in the first time period in the future, and outputs the expected rate of water level rise or fall and the expected water level height; Get the time difference between the current time and the last pump start time based on the current time ; If the water level change trend is predicted, the rising rate R exceeds the preset first threshold value within the first time period And the expected water level is higher than the safe water level, and the control board controls all relays connected to the water pumps to be in the on state; If the water level change trend is predicted, the rising rate R in the first time period is less than the first threshold And the rising rate R is a positive number; judge the time difference Is it greater than the preset start delay? If it is greater than the preset start delay, the corresponding number of water pumps will work based on the rising rate, and the relays connected to the corresponding number of water pumps will be immediately controlled to be in the on state; if it is less than the preset start delay, the time difference When the time is greater than the preset start delay, the relays connected to the corresponding number of water pumps are in the on state; If the rising rate R is negative in the first time period in the predicted water level change trend, a corresponding number of water pumps are operated based on the rising rate matching, and the relays connected to the corresponding number of water pumps are controlled to be in the on state.

3. A digital and intelligent dynamic monitoring and early warning system for flood control and drainage according to claim 2, characterized in that: The number of the liquid level sensors is greater than three, one of which is a backup sensor, and the backup sensor is initially configured to be in a closed state; After receiving the water level heights sent by different liquid level sensors, the control mainboard randomly selects one liquid level sensor as a comparison object, and calculates the difference between the water level heights sent by the remaining liquid level sensors to obtain a deviation value; the control mainboard determines whether the deviation value is greater than the allowable deviation, and if so, controls the standby sensor to work and re-obtain the water level height sent by the standby sensor; The control main board compares the water level height obtained by the backup sensor with the newly obtained water level heights of the two liquid level sensors whose deviation values are greater than the allowable deviation, and determines that the liquid level sensor with a larger deviation from the water level height obtained by the backup sensor is faulty; the control main board controls the faulty liquid level sensor to be in a closed state; the control main board uses the average value of the water level heights sent by all the remaining liquid level sensors in working state as the current water level height.

4. The digital and intelligent dynamic monitoring and early warning system for flood control and drainage according to claim 3 is characterized in that: The system further includes a variable frequency drive; the variable frequency drive is electrically connected to the motor of the water pump, and the variable frequency drive is used to adjust the power supply frequency of the motor to adjust the motor speed; the variable frequency drive is electrically connected to the control mainboard; Among them, the control main board compares the current data sent by the current sensor with the target current value to obtain the deviation between the two; calculates the control signal based on the PID algorithm based on the deviation; converts the control signal into a frequency instruction of the variable frequency drive; and sends the frequency instruction to the variable frequency drive to adjust the speed of the motor so that the speed of the motor reaches the target value.

5. The digital and intelligent dynamic monitoring and early warning system for flood control and drainage according to claim 4 is characterized in that: The control mainboard is also used for: Establish a multi-objective optimization model based on drainage efficiency, pump energy consumption and pump life; Randomly generate N individuals as an initial population, each of which represents a set of speed setting schemes for a water pump motor; each individual is represented by a vector, and each element in the vector represents the speed of a single water pump motor; For each individual, drainage efficiency, energy consumption, and impact on equipment life are calculated to form a multidimensional fitness vector; Perform non-dominated sorting based on the fitness vector and select individuals on the Pareto front as parents; Randomly select a crossover point and exchange some of the speed settings of the two parent individuals at this point to generate new offspring individuals; Randomly change the speed setting of a water pump to explore different solution spaces; The offspring individuals after crossover and mutation are added to the population, and the individuals with poor performance are replaced according to the fitness value to form a new generation of population; Determine whether a termination condition is met, and if so, output the current optimal solution set; the termination condition includes reaching a predetermined maximum number of iterations; The rotational speed of each water pump is configured based on a solution in the optimal solution set.

6. According to the digital and intelligent dynamic monitoring and early warning system for flood control and drainage according to claim 5, the step of generating the water level prediction model comprises: Collect historical water level data and conduct time series analysis on the historical water level data; Constructing a water level prediction model based on the autoregressive moving average model; Use the training set data to train the water level prediction model; The trained water level prediction model is verified using the test set data to determine whether the confidence of the water level prediction model reaches the preset confidence level; if so, the trained water level prediction model is obtained.

7. The digital and intelligent dynamic monitoring and early warning system for flood control and drainage according to claim 6 is characterized in that: The control mainboard is also used to monitor whether the liquid level sensor circuit is normal; when the liquid level sensor circuit is disconnected, the control mainboard issues an alarm prompt through the alarm device.

8. The digital and intelligent dynamic monitoring and early warning system for flood control and drainage according to claim 7 is characterized in that: The control main board is further used to determine whether a current anomaly occurs based on the current data, and control a relay electrically connected to the corresponding water pump to be in a closed state when it is determined that the current is abnormal.

9. A digital and intelligent dynamic monitoring and early warning method for flood control and drainage, based on the system according to any one of claims 1 to 8, comprising: The liquid level sensor detects the water level in real time; The current sensor monitors the current data of the water pump when it is running; The control main board predicts the rising trend of the water level based on the real-time monitored water level height and the water level prediction model, and controls the conduction of the relay to control the corresponding water pump to start based on the water level rising trend.

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