A flood-prevention drainage intelligent dynamic monitoring and early warning method and system

Abstract

The application relates to a flood-prevention drainage intelligent dynamic monitoring and early warning method and system, and relates to the technical field of flood-prevention drainage. The system comprises the following: a touch screen all-in-one machine, which is used for man-machine interaction and display of system operation states; a plurality of relays, which are used for controlling the on-off of the circuits where water pumps are located; the number of the relays corresponds to the number of the water pumps; at least one liquid level sensor, which is used for real-time detection of water level height; at least one current inductor, which is used for monitoring current data when the water pumps are running; and a control mainboard; the control mainboard is electrically connected with the touch screen all-in-one machine, the relays, the liquid level sensor and the current inductor; wherein 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 corresponding water pumps to be turned on by controlling the conduction of the relays based on the water level rising trend.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of flood prevention drainage, in particular to a flood prevention drainage digital dynamic monitoring and early warning method and system. BACKGROUND

[0002] Traditional flood prevention drainage systems often rely on manual inspection and simple mechanical control, which cannot effectively respond to sudden water level rise, leading to increased risk of urban waterlogging, property loss and even casualties.

[0003] Although the flood prevention drainage systems currently available on the market achieve automatic operation to some extent, they are mostly based on predetermined threshold triggering alarms or starting drainage equipment, lacking the ability to predict water level trends and unable to take measures in advance. SUMMARY

[0004] To at least partially solve the above technical problems, the present application provides a flood prevention drainage digital dynamic monitoring and early warning method and system.

[0005] In a first aspect, the flood prevention drainage digital dynamic monitoring and early warning system provided by the present application adopts the following technical solution.

[0006] A flood prevention drainage digital dynamic monitoring and early warning system, characterized in that it comprises:

[0007] A touch screen all-in-one machine for human-computer interaction and displaying system operation status;

[0008] A plurality of relays for controlling the on-off of the circuit where the water pump is located; the number of relays corresponds to the number of water pumps;

[0009] At least one liquid level sensor for real-time detection of water level height;

[0010] At least one current sensor for monitoring current data when the water pump is running; and

[0011] A control mainboard electrically connected to the touch screen all-in-one machine, relays, liquid level sensor and current sensor;

[0012] The control mainboard predicts the water level rise trend based on the real-time monitored water level height and water level prediction model and controls the corresponding water pump to start by controlling the conduction of the relays based on the water level rise trend.

[0013] By adopting the above technical solution, the control mainboard can predict the water level rise trend based on the monitored water level height and water level prediction model and make an early response by controlling the conduction state of the relays to start the corresponding water pump, which can perform flood prevention drainage earlier.

[0014] Optionally, 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 corresponding water pump to be turned on by controlling the conduction of the relay based on the water level rising trend, comprising:

[0015] After the control mainboard receives the real-time water level height transmitted by the liquid level sensor, the current water level rising rate is calculated ; wherein, is the last collected water level height, H is the current water level height, and t is the sampling interval of the liquid level sensor;

[0016] The height difference between the current water level height H and the initial water level height is calculated ;

[0017] The current water level height H and the water level rising rate R are input into the 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 the water level prediction rising or falling rate and the water level height reached are taken as the output results;

[0018] The time difference between the current time and the last water pump starting time is obtained ;

[0019] If the rising rate R in the prediction water level change trend exceeds the preset first threshold value in the first time period, and the water level height reached is greater than the safe water level height, the control mainboard controls all the relays connected with the water pumps to be in the conduction state;

[0020] If the rising rate R in the prediction water level change trend is less than the first threshold value in the first time period, and the rising rate R is positive; whether the time difference is greater than the preset starting delay is judged; if greater than the preset starting delay, the corresponding number of water pumps is matched based on the rising rate, and the relays connected with the corresponding number of water pumps are immediately controlled to be in the conduction state; if less than the preset starting delay, the time difference is greater than the preset starting delay, and the relays connected with the corresponding number of water pumps are controlled to be in the conduction state;

[0021] If the rising rate R in the prediction water level change trend is negative in the first time period, the corresponding number of water pumps is matched based on the rising rate, and the relays connected with the corresponding number of water pumps are controlled to be in the conduction state.

[0022] Optionally, the number of liquid level sensors is greater than three, one of which is a standby sensor, which is initially configured to be in the off state;

[0023] The control mainboard randomly selects one liquid level sensor as a comparison object after receiving the water level heights sent by different liquid level sensors, and respectively calculates the deviation values by subtracting the water level heights sent by the remaining liquid level sensors; the control mainboard judges whether the deviation values are greater than the allowed deviation, and if so, controls the standby sensor to work and reacquires the water level height sent by the standby sensor;

[0024] The control mainboard compares the water level height acquired by the standby sensor with the water level heights newly acquired by the two liquid level sensors whose deviation values are greater than the allowed deviation, judges the liquid level sensor with the greater deviation from the water level height acquired by the standby sensor to be faulty, controls the faulty liquid level sensor to be in an off state, and takes the average value of the water level heights sent by all the remaining liquid level sensors in the working state as the current water level height.

[0025] Optionally, the system further comprises a variable frequency driver; the variable frequency driver is electrically connected with the motor of the water pump, and is used for adjusting the power supply frequency of the motor to adjust the rotating speed of the motor; and the variable frequency driver is electrically connected with the control mainboard.

[0026] The control mainboard compares the current data sent by the current sensor with the target current value to obtain the deviation therebetween, calculates the control signal based on the PID algorithm based on the deviation, converts the control signal into the frequency instruction of the variable frequency driver, and sends the frequency instruction to the variable frequency driver to adjust the rotating speed of the motor so that the rotating speed of the motor reaches the target value.

[0027] Optionally, the control mainboard is further used for:

[0028] establishing a multi-objective optimization model based on the drainage efficiency, the energy consumption of the water pump and the service life of the water pump;

[0029] randomly generating N individuals as an initial population, each of the individuals representing a rotating speed setting scheme of a group of water pump motors; each individual is represented as a vector, and each element in the vector represents the rotating speed of a single water pump motor;

[0030] calculating the drainage efficiency, the energy consumption and the influence on the service life of the equipment for each individual to form a multi-dimensional fitness vector;

[0031] performing non-dominated sorting according to the fitness vector, and selecting the individuals located on the Pareto frontier as parents;

[0032] randomly selecting a crossover point, and exchanging part of the rotating speed settings of the two parent individuals at the point to generate new offspring individuals;

[0033] randomly changing the rotating speed setting of a water pump to explore different solution spaces;

[0034] The offspring individuals after the crossover and mutation are added to the population, and the individuals with poor performance are replaced by the offspring individuals according to the fitness values to form a new generation population;

[0035] It is judged whether a termination condition is met, and if yes, a current optimal solution set is output; the termination condition includes reaching a predetermined maximum iteration times;

[0036] The rotation speed of each water pump is configured based on the solution in the optimal solution set.

[0037] Optionally, the generating of the water level prediction model comprises:

[0038] Historical water level data are collected and time series analysis is performed on the historical water level data;

[0039] A water level prediction model is constructed based on an autoregressive moving average model;

[0040] The water level prediction model is trained using training set data;

[0041] The trained water level prediction model is verified using test set data to determine whether a confidence of the water level prediction model reaches a preset confidence; if yes, the trained water level prediction model is obtained.

[0042] Optionally, the control mainboard is further configured to monitor whether the liquid level sensor circuit is normal; when the liquid level sensor circuit is disconnected, the control mainboard sends an alarm prompt through the alarm device.

[0043] Optionally, the control mainboard is further configured to determine whether a current abnormality occurs based on the current data, and control the relay electrically connected to the corresponding water pump to be in a closed state when it is determined that the current abnormality occurs.

[0044] In a second aspect, the application provides a flood-prevention drainage intelligent dynamic monitoring and early warning method, which adopts the following technical scheme.

[0045] A flood-prevention drainage intelligent dynamic monitoring and early warning method based on the above system, the method comprising:

[0046] The liquid level sensor detects the water level height in real time;

[0047] The current sensor monitors current data of the water pump during operation;

[0048] The control mainboard predicts a water level rising trend based on the real-time monitored water level height and the water level prediction model, and controls the corresponding water pump to be turned on by controlling the conduction of the relay based on the water level rising trend. BRIEF DESCRIPTION OF DRAWINGS

[0049] Fig. 1is a system block diagram of a flood prevention drainage digital dynamic monitoring and early warning system according to an embodiment of the present application.

[0050] Fig. 2 is a flow chart of a flood prevention drainage digital dynamic monitoring and early warning method according to an embodiment of the present application.

[0051] In the figure, 101 is a touch screen all-in-one machine; 102 is a relay; 103 is a liquid level sensor; 104 is a current inductor; and 105 is a control mainboard. DETAILED DESCRIPTION

[0052] The present application will be further described below in combination with the accompanying drawings and specific embodiments. Figs. 1-2 and specific embodiments:

[0053] An embodiment of the present application discloses a flood prevention drainage digital dynamic monitoring and early warning system, comprising:

[0054] The touch screen all-in-one machine 101 is used for human-computer interaction and display of system running status. Specifically, the touch screen all-in-one machine integrates display and touch control functions and is used for human-computer interaction. The touch screen all-in-one machine can display the running status of the system, real-time water level, and working status of the water pump and allow a user to operate through the touch screen.

[0055] The relays 102 are used for controlling on-off of the loop where the water pump is located. The number of the relays corresponds to the number of the water pumps. Specifically, the relays are used for controlling on-off of the loop where the water pump is located, i.e., starting or stopping the corresponding water pump according to the instruction issued by the control mainboard 105. The number of the relays corresponds to the number of the water pumps. Generally, each relay corresponds to one water pump.

[0056] The liquid level sensor 103 is used for real-time detection of water level height. The liquid level sensor monitors the water level height of the water accumulation area in real time and sends the monitored water level height to the control mainboard.

[0057] The current inductor 104 is used for monitoring current data when the water pump is running.

[0058] The control mainboard 105 is electrically connected with the touch screen all-in-one machine 101, the relays 102, the liquid level sensor 103, and the current inductor 104. Specifically, the control mainboard integrates a computing chip.

[0059] The control mainboard 101 predicts the water level rising trend based on the real-time monitored water level height and the water level prediction model and controls the corresponding water pump to be turned on by controlling conduction of the relays 102 based on the water level rising trend.

[0060] Specifically, the control mainboard 105 can predict the water level rising trend based on the monitored water level height and the water level prediction model, and thus can make a response in advance, start the corresponding water pump by controlling the conduction state of the relay 102, improve the drainage efficiency, and perform flood control drainage earlier.

[0061] The scheme of the present application is illustrated below.

[0062] Suppose that the flood control drainage intelligent dynamic monitoring and early warning system of the present application is installed in an urban underground parking lot. The touch screen all-in-one machine is located at the entrance of the parking lot and is provided for the use of the management personnel; 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; and each water pump is equipped with a current sensor.

[0063] When the rainy season comes and water begins to accumulate in the parking lot, the liquid level sensor will monitor the water depth in real time and send the data to the control mainboard. After receiving the data from the liquid level sensor, the control mainboard analyzes the current water level change trend using the built-in water level prediction model. If it is predicted that the water level will rise rapidly in the future period of time and exceed the preset safety threshold, the system will automatically enter the emergency mode. According to the prediction result, the control mainboard decides which water pumps to start and when to start. For example, if it is predicted that the water level will rise by 10 centimeters in the next hour, the control mainboard starts the corresponding water pump by controlling the corresponding relay to close. During the operation of the water pump, the current sensor continuously monitors the current of the water pump; the liquid level sensor continues to monitor the water level change, and the control mainboard dynamically adjusts the working state of the water pump according to the latest water level data. If the system detects an abnormal situation (for example, a water pump fails to start normally or the current is abnormal), the control mainboard will immediately issue an alarm and display the alarm information through the touch screen all-in-one machine.

[0064] As a specific embodiment of the flood control drainage intelligent dynamic monitoring and early warning system, 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 corresponding water pump to start by controlling the conduction of the relay based on the water level rising trend, comprising:

[0065] After the control mainboard receives the real-time water level height transmitted by the liquid level sensor, it calculates the current water level rising rate ; wherein, is the last collected water level height, H is the current water level height, and t is the sampling interval of the liquid level sensor;

[0066] The height difference between the current water level height H and the initial water level height is calculated. ;

[0067] 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 rise or fall of the water level and the expected water level height.

[0068] The time difference between the current time and the last time the water pump started is calculated. ;

[0069] If the predicted water level change trend shows that the rate of rise R exceeds a preset first threshold during the first time period... Furthermore, since the expected water level is higher than the safe water level, the main control board controls all relays connected to the water pumps to be in the conducting state.

[0070] If the predicted water level change trend shows that the rate of rise R is less than the first threshold during the first time period... And the rate of increase R is positive; determine the time difference. If the delay exceeds the preset startup delay, the system will match the corresponding number of water pumps based on the rate of increase and immediately control the relays connected to those pumps to be in the ON state. If the delay is less than the preset startup delay, the system will wait for the time difference. If the delay exceeds the preset start-up time, the corresponding number of relays connected to the water pumps will be in the on state.

[0071] If the predicted water level change trend shows that the rate of rise R is negative in the first time period, the corresponding number of water pumps will be matched to operate based on the rate of rise, and the relays connected to the corresponding number of water pumps will be controlled to be in the conducting state.

[0072] Specifically, the control motherboard receives real-time water level data from a liquid level sensor and calculates the current water level rise rate and the difference between the current and initial water levels. This data, combined with a pre-trained water level prediction model, is used to predict future water level trends. Based on the predictions, the control motherboard determines when and how to activate the water pumps: when the predicted water level rise rate exceeds a preset threshold and the water level is expected to exceed the safe level, all pumps are immediately activated for rapid drainage; if the rise rate is below the threshold but positive, and the time since the last activation exceeds a preset delay, the appropriate number of pumps is matched to the rise rate to ensure effective water level control without wasting energy; when the predicted water level is declining, the pump operation is adjusted according to actual needs, reducing the number of pumps in operation. This approach improves system response speed and drainage efficiency, reduces energy consumption, and extends equipment lifespan.

[0073] As a specific embodiment of a flood prevention and drainage intelligent dynamic monitoring and early warning system, the number of liquid level sensors is greater than three, one of which is a backup sensor, which is initially configured in a closed state;

[0074] 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 deviation value by subtracting the water level heights sent by the remaining liquid level sensors. The control mainboard determines whether the deviation value is greater than the allowed deviation. If so, the backup sensor is controlled to work, and the water level height sent by the backup sensor is reacquired.

[0075] The control mainboard compares the water level height acquired by the backup sensor with the newly acquired water level heights of the two liquid level sensors with a deviation greater than the allowed deviation, determines the liquid level sensor with a greater deviation from the water level height acquired by the backup sensor as malfunctioning, controls the malfunctioning liquid level sensor to be in a closed state, and determines the current water level height based on the average value of the water level heights sent by all remaining liquid level sensors in a working state.

[0076] Specifically, by configuring multiple liquid level sensors (at least one of which is a backup sensor), the control mainboard randomly selects one liquid level sensor as a comparison object after receiving the water level heights sent by different liquid level sensors, and calculates the deviation value by subtracting the remaining liquid level sensors. If it is found that the deviation value is greater than the preset allowed deviation, the control mainboard will activate the backup sensor to work and reacquire its water level height. The control mainboard compares the data of the backup sensor with the new data of the two liquid level sensors with a larger deviation to determine the malfunctioning liquid level sensor and turn it off. The control mainboard determines the current water level height based on the average value of the water level heights sent by all remaining liquid level sensors in a working state; reduces the possibility of system misjudgment due to the failure of a single liquid level sensor.

[0077] As a specific embodiment of a flood prevention and drainage intelligent dynamic monitoring and early warning system, the system further comprises a frequency converter; the frequency converter is electrically connected to the motor of the water pump, and is used to adjust the power supply frequency of the motor to adjust the motor speed; the frequency converter is electrically connected to the control mainboard;

[0078] The control mainboard 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 frequency converter; sends the frequency instruction to the frequency converter to adjust the speed of the motor so that the speed of the motor reaches the target value.

[0079] Specifically, the variable frequency driver is electrically connected with the water pump motor and communicates with the control mainboard; the control mainboard compares the real-time current data sent by the current sensor with the preset target current value, calculates the deviation between the two, calculates the control signal according to the deviation by using the PID algorithm, converts the control signal into the frequency instruction of the variable frequency driver, and sends it to the variable frequency driver to adjust the power frequency of the motor, so as to realize the regulation of the motor speed, and the closed-loop feedback control mechanism makes the motor speed stable around the target value, thereby facilitating the control of flood prevention drainage.

[0080] As one of the implementation manners of the flood prevention drainage intelligent dynamic monitoring and early warning system, the control mainboard is further used for:

[0081] establishing a multi-objective optimization model based on drainage efficiency, water pump energy consumption and water pump life;

[0082] randomly generating N individuals as an initial population, each of which represents a set of water pump motor speed setting schemes; each individual is represented as a vector, and each element in the vector represents the speed of a single water pump motor;

[0083] calculating the drainage efficiency, energy consumption and impact on equipment life for each individual to form a multi-dimensional fitness vector;

[0084] non-dominant sorting according to the fitness vector, and selecting individuals on the Pareto frontier as parents;

[0085] randomly selecting a crossover point and exchanging part of the speed settings of the two parent individuals at this point to generate new offspring individuals;

[0086] randomly changing the speed setting of a water pump to explore different solution spaces;

[0087] adding the offspring individuals after crossover and mutation to the population, and replacing the individuals with poor performance according to the fitness value to form a new generation population;

[0088] determining whether the termination condition is met, if yes, output the current optimal solution set; the termination condition includes reaching a predetermined maximum iteration times;

[0089] configuring the speed of each water pump based on the solutions in the optimal solution set.

[0090] In particular, the Pareto front refers to a set of solutions in which there is no solution that can be superior to or equal to another solution in all objectives. Or it can be understood that the solution on the Pareto front is a set of solutions: for any one of them, you cannot improve one objective without deteriorating at least one other objective. In a multi-objective optimization problem, there are usually multiple conflicting objective functions. In the flood control drainage system of the present application, there may be conflicts between maximizing drainage efficiency, minimizing energy consumption, and maximizing equipment life, i.e. 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.

[0091] In the present application, the control mainboard randomly generates N individuals as the initial population, each individual representing a set of speed setting schemes of the water pump motors, and calculates the drainage efficiency, energy consumption and equipment life impact of each individual to form a multi-dimensional fitness vector. According to the fitness vector, the individuals on the Pareto front are selected as the parents. Then, new offspring individuals are generated through crossover operation and mutation operation of randomly changing the speed setting of a water pump, and these offspring are added to the population to replace the individuals with poor performance to form a new generation population, until the predetermined maximum number of iterations is reached, and finally the current optimal solution set is output. Based on the solutions in the optimal solution set, the system can configure the speed of each water pump to achieve a balance between drainage efficiency, energy consumption and equipment life.

[0092] As one of the implementation manners of the flood control drainage intelligent dynamic monitoring and early warning system, the generation step of the water level prediction model comprises:

[0093] Collecting historical water level data and performing time series analysis on the historical water level data;

[0094] Building a water level prediction model based on an autoregressive moving average model;

[0095] Training the water level prediction model using training set data;

[0096] Using test set data to verify the trained water level prediction model to determine whether the confidence of the water level prediction model reaches the preset confidence; if so, the trained water level prediction model is obtained.

[0097] As one of the implementation manners of the flood control drainage intelligent dynamic monitoring and early warning system, 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 sends an alarm prompt through the alarm device.

[0098] Specifically, when the control mainboard detects that the liquid level sensor line is disconnected, the alarm device immediately sends an alarm prompt, quickly discovers and reports the sensor line failure, and ensures that the system can respond in time when an abnormality occurs.

[0099] As one of the implementation manners of the flood prevention drainage intelligent dynamic monitoring and early warning system, the control mainboard is also used to determine whether a current abnormality occurs based on current data, and control the relay electrically connected to the corresponding water pump to be in a closed state when it is determined that the current abnormality occurs.

[0100] Specifically, when the control mainboard detects that the liquid level sensor line is disconnected, the alarm device immediately sends an alarm prompt, quickly discovers and reports the sensor line failure, and ensures that the system can respond in time when an abnormality occurs.

[0101] The application also provides a flood prevention drainage intelligent dynamic monitoring and early warning method based on any of the above systems, and the method comprises the following steps:

[0102] S101, the liquid level sensor detects the water level in real time;

[0103] S201, the current sensor monitors the current data of the water pump during operation;

[0104] S301, 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 corresponding water pump to be turned on by controlling the conduction of the relay based on the water level rising trend.

[0105] It should be noted that the above embodiments are only used to illustrate the application and not to limit the technical solutions described in the application. Although the application has been described in detail with reference to the above embodiments, those skilled in the art should understand that the skilled in the art can still modify or equivalently replace the application, and all technical solutions and improvements that do not deviate from the spirit and scope of the application should be covered in the scope of the claims of the application.​​​​​​​

Claims

1. A digital dynamic monitoring and early warning system for flood control and drainage, characterized in that, include: Touchscreen all-in-one machines: used for human-computer interaction and displaying system operating status; Several relays: used to control the on / off state of the circuit containing the water pump; the number of relays corresponds to the number of water pumps; At least one liquid level sensor: for real-time detection of water level; At least one current sensor for monitoring current data during the operation of the water pump; and, The control motherboard is electrically connected to the touch screen all-in-one machine, relays, liquid level sensors, and current sensors. The control motherboard predicts the water level rise trend based on real-time monitored water level height and a water level prediction model, and controls the corresponding water pump to start by controlling the conduction of the relay based on the water level rise trend, including: After receiving the real-time water level from the liquid level sensor, the control motherboard calculates the current rate of water level rise. ;in, H represents the water level height at the last recorded measurement, H represents the current water level height, and t represents the sampling interval of the liquid level sensor. Calculate the current water level height H and the initial water level height. 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 rise or fall of the water level and the expected water level height. The time difference between the current time and the last time the water pump started is calculated. ; If the predicted water level change trend shows that the rate of rise R exceeds a preset first threshold... Furthermore, since the expected water level is higher than the safe water level, the main control board controls all relays connected to the water pumps to be in the conducting state. If the predicted water level change trend shows that the rate of rise R is less than the first threshold... And the rate of increase R is positive; determine the time difference. If the delay exceeds the preset start-up delay, the relays connected to the corresponding number of water pumps matching the rise rate are activated; if the delay is less than the preset start-up delay, the system waits for the time difference. If the delay exceeds the preset start-up time, the corresponding number of relays connected to the water pumps will be in the on state. If the predicted water level change trend shows that the rate of rise R is negative in the first time period, the relays connected to the corresponding number of water pumps that control the rate of rise will be in the on state; The number of liquid level sensors is greater than three, one of which is a backup sensor, and the backup sensor is initially configured to be in the off state. After receiving water level heights from different liquid level sensors, the control motherboard randomly selects one liquid level sensor as a comparison object and calculates the difference between it and the water level heights sent by the remaining liquid level sensors to obtain a deviation value. The control motherboard determines whether the deviation value is greater than the allowable deviation. If so, it controls the backup sensor to work and re-acquire the water level height sent by the backup sensor. The control board compares the water level height obtained by the backup sensor with the newly obtained water level heights of two level sensors whose deviation values ​​are greater than the allowable deviation, and determines that the level sensor with a larger deviation from the water level height obtained by the backup sensor has failed; the control board controls the failed level sensor to be turned off; the control board uses the average water level height sent by all remaining working level sensors as the current water level height.

2. The flood control and drainage intelligent dynamic monitoring and early warning system according to claim 1, characterized in that, The system also includes a frequency converter driver; the frequency converter driver is electrically connected to the motor of the water pump, and the frequency converter driver is used to adjust the power supply frequency of the motor to adjust the motor speed; the frequency converter driver is electrically connected to the control main board; The control board compares the current data sent by the current sensor with the target current value to obtain the deviation between the two; calculates a control signal based on the deviation using a PID algorithm; converts the control signal into a frequency command for the frequency converter; and sends the frequency command to the frequency converter to adjust the motor speed so that the motor speed reaches the target value.

3. The flood control and drainage intelligent dynamic monitoring and early warning system according to claim 2, characterized in that, The control motherboard is also used for: A multi-objective optimization model is established based on drainage efficiency, pump energy consumption, and pump lifespan. N individuals are randomly generated as the initial population, and each individual represents a set of water pump motor speed setting schemes; each individual is represented as a vector, and each element in the vector represents the speed of a single water pump motor. For each individual, the drainage efficiency, energy consumption, and impact on equipment lifespan are calculated to form a multidimensional fitness vector; Non-dominated sorting is performed based on fitness vectors, and individuals located at the Pareto front are selected as parents; Randomly select an intersection point, and exchange part of the rotation speed settings of the two parent individuals at this point to generate a new offspring individual; Randomly change the speed setting of a water pump to explore different solution spaces; After crossover and mutation, offspring individuals are added to the population, and poorly performing individuals are replaced based on fitness values ​​to form a new generation of the population; Determine whether the termination condition is met. If so, output the current optimal solution set. The termination condition includes reaching the predetermined maximum number of iterations. Configure the rotational speed of each pump based on the solutions in the optimal solution set.

4. The intelligent dynamic monitoring and early warning system for flood control and drainage according to claim 3, wherein the step of generating the water level prediction model includes: Collect historical water level data and perform time series analysis on the historical water level data; A water level prediction model is constructed based on an autoregressive moving average model; The water level prediction model is trained using the training set data; The trained water level prediction model is validated using test set data to determine whether the confidence level of the water level prediction model reaches the preset confidence level; if so, the trained water level prediction model is obtained.

5. The intelligent dynamic monitoring and early warning system for flood control and drainage according to claim 4, characterized in that, The control motherboard is also used to monitor whether the liquid level sensor circuit is normal; when the liquid level sensor circuit is disconnected, the control motherboard issues an alarm prompt through the alarm device.

6. The flood control and drainage intelligent dynamic monitoring and early warning system according to claim 5, characterized in that, The control board is also used to: determine whether a current abnormality has occurred based on current data, and when a current abnormality is determined, control the relay electrically connected to the corresponding water pump to be in the closed state.

7. A method for intelligent dynamic monitoring and early warning of flood control and drainage, implemented based on the system described in any one of claims 1-6, the method comprising: The level sensor detects the water level in real time; A current sensor monitors the current data during the operation of the water pump; The control board predicts the water level rise trend based on real-time monitored water level height and a water level prediction model, and controls the corresponding water pump to start by controlling the conduction of the relay based on the water level rise trend.

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