Intelligent control method and system for electromagnetic force driven water baffle

Abstract

The application provides an electromagnetic force driven water blocking door plate intelligent control method and system, relates to the technical field of intelligent control, and the method comprises the following steps: the intelligent water blocking door plate comprises a water blocking door plate, a door frame structure, an electromagnetic drive assembly, a sensor assembly and a control unit; external accumulated water height information is collected in real time, and water level judgment is performed; when the detected water level exceeds a preset warning water level, a water blocking door plate driving instruction is triggered; the inside environment of the door plate is monitored through a detection sensor, and water blocking strength analysis is performed; an electromagnetic regulation signal is sent to the electromagnetic drive assembly, the electromagnetic adsorption force is adjusted, and the door plate water blocking sealing target is maintained. Through the application, the technical problem that the water blocking door plate cannot timely perceive and respond to sealing failure due to the lack of continuous monitoring and self-adaptive adjustment capability of the sealing state after the water blocking door plate is closed in the prior art is solved, the response speed of the water blocking door plate to water level change is improved through real-time monitoring and intelligent control, and therefore the sealing performance of the water blocking door plate is improved.

Description

Technical Field

[0001] This application relates to the field of intelligent control technology, specifically to an intelligent control method and system for an electromagnetically driven water-blocking gate. Background Technology

[0002] Existing floodgates typically rely on manual operation or simple mechanical devices for control, focusing only on whether the gate has closed properly but failing to detect whether it is tightly closed or can maintain that tightness under continuous water pressure. During water flow, water levels continuously change and the impact force dynamically increases, while the locking force of traditional gates is statically set. The initial electromagnetic attraction may be barely sufficient at low water levels, but it cannot detect and respond to seal failures in time under high water levels or rapid currents. Due to the lack of real-time sensing of the environment inside the gate, leaks usually only trigger alarms after water has penetrated the station building, causing secondary damage such as equipment dampness or floor flooding. By then, the secondary damage, including equipment dampness and slippery floors, has already occurred.

[0003] In summary, the existing technology has a technical problem: the water-blocking gate lacks the ability to continuously monitor and adaptively adjust the sealing status after it is closed, which leads to the inability to detect and respond to sealing failure in a timely manner. Summary of the Invention

[0004] The purpose of this application is to provide an intelligent control method and system for electromagnetically driven water-blocking gates, in order to solve the technical problem in the prior art that the water-blocking gates lack the ability to continuously monitor and adaptively adjust the sealing status after closing, resulting in the inability to detect and respond to sealing failures in a timely manner.

[0005] To achieve the above objectives, this application provides an intelligent control method and system for an electromagnetically driven water-blocking gate.

[0006] In a first aspect, this application provides an intelligent control method for an electromagnetically driven water-retaining gate. This method is implemented through an intelligent control system for the electromagnetically driven water-retaining gate. The method is applied to an intelligent water-retaining gate, which includes a gate panel, a gate frame structure, an electromagnetic drive assembly, a sensor assembly, and a control unit. The method comprises: real-time acquisition of external water level information via a water level sensor installed at a preset monitoring position in the station building; synchronization with the control unit to determine the water level based on a water level threshold; and triggering the gate when the detected water level exceeds a preset warning level. The water gate panel driving command involves the control unit sending an execution signal to the electromagnetic drive assembly, causing the electromagnetic drive assembly to generate electromagnetic attraction according to initial electromagnetic parameters to control the water-blocking gate panel to fasten tightly to the door frame structure cover, forming an elastic sealing water-blocking structure. The control unit monitors the environment inside the gate panel using detection sensors installed inside the station building and feeds the environmental monitoring data back to the control unit. Based on the environmental monitoring data, the water-blocking strength is analyzed to obtain electromagnetic control information. According to the electromagnetic control information, the control unit sends an electromagnetic control signal to the electromagnetic drive assembly to drive and adjust the electromagnetic attraction force, ensuring a stable pressing state between the water-blocking gate panel and the door frame structure, thereby maintaining the water-blocking sealing target of the gate panel.

[0007] Optionally, the water-blocking gate panel includes: an outer waterproof panel; an inner reinforcing panel; a honeycomb support frame disposed between the outer waterproof panel and the inner reinforcing panel, used to reduce the weight of the gate panel while ensuring the overall rigidity of the gate panel; and an elastic sealing element disposed around the periphery of the water-blocking gate panel, used to generate elastic compression when the water-blocking gate panel is pressed against the door frame structure by the electromagnetic drive component, so as to form a water-blocking sealing structure.

[0008] Optionally, when the monitored external water level is lower than the preset warning level, the control unit controls the electromagnetic drive assembly to de-energize, causing the water-blocking gate to release the electromagnetic locking state and return to the open state.

[0009] Optionally, the environmental monitoring data includes humidity monitoring data and water seepage detection signals. The environmental monitoring data is filtered and combined with sealing contact pressure information to identify the sealing status. Based on the displacement information between the current water-blocking gate panel and the door frame structure, the sealing compression amount is determined. Based on the water-blocking sealing target of the gate panel, the sealing compression amount is analyzed by magnetic attraction based on the sealing status identification result to obtain the sealing compensation compression amount, which is then converted into electromagnetic control information.

[0010] Optionally, time series data of water level monitoring is established, water level change trend analysis is performed, and water level change rate is obtained; dynamic resistance analysis is performed based on water level change rate to determine the corresponding water-blocking pressure requirement; magnetic circuit state and electromagnetic drive current are used as control magnetic variables, and the control magnetic variables are matched and analyzed according to water-blocking pressure requirement to determine the matching magnetic circuit reluctance and electromagnetic drive current, and the electromagnetic control information is generated.

[0011] Optionally, based on the water level change rate, the water level change stage is identified; based on the current water level height and the water level change rate of each water level change stage, the water-blocking pressure is analyzed, and the static pressure generated by the water level height and the dynamic resistance pressure generated by the water level change rate are calculated respectively, and the static pressure component and the dynamic correction pressure component are determined; based on the static pressure component and the dynamic correction pressure component, the water-blocking pressure requirement is obtained by superposition calculation.

[0012] Optionally, a set of candidate magnetic circuit states for the electromagnetic drive component is established, and the magnetic reluctance corresponding to each candidate magnetic circuit state is determined; the target electromagnetic adsorption force is determined according to the water-blocking pressure requirement, and the electromagnetic drive current required to satisfy the target electromagnetic adsorption force under each candidate magnetic circuit state is calculated; each candidate magnetic circuit state is screened according to the adjustment range and control accuracy of the electromagnetic drive current, and the matching magnetic circuit state is determined among the candidate magnetic circuit states that meet the current constraint conditions, including the rated current constraint of the electromagnetic coil, the power supply output capability constraint, and the current change rate constraint; according to the matching magnetic circuit state, the electromagnetic drive current is refined and adjusted under the matching magnetic circuit state to obtain the matching magnetic reluctance and electromagnetic drive current.

[0013] Optionally, based on time-series data of water level monitoring and related environmental data, the window period for exceeding the warning water level is analyzed and predicted; based on the predicted duration of the exceeding warning window period and the trend of water level changes, the continuous water-blocking demand of the water-blocking gate is analyzed; based on the continuous water-blocking demand, the driving capability of the electromagnetic drive component is analyzed in a time series to determine the electromagnetic adsorption force maintenance strategy during the exceeding warning window period; based on the electromagnetic adsorption force maintenance strategy, the magnetic circuit state and electromagnetic drive current are adjusted in stages to maintain the stable sealing state of the water-blocking gate during the entire exceeding warning window period, and corresponding electromagnetic control information is generated.

[0014] Optionally, the electromagnetic drive assembly includes multiple electromagnetic drive units disposed in different areas of the water-retaining gate panel, establishing a distribution position mapping relationship between each electromagnetic drive unit and the corresponding area of ​​the water-retaining gate panel; pressure data of each area of ​​the gate panel is collected by pressure sensors disposed in different areas of the water-retaining gate panel, and the regional pressure distribution information of the gate panel is determined based on the pressure data; the control unit adjusts the magnetic field strength of the corresponding electromagnetic drive unit according to the regional pressure distribution information and the distribution position mapping relationship, for the zoned electromagnetic control of the water-retaining gate panel.

[0015] Secondly, this application also provides an intelligent control system for an electromagnetically driven water-blocking gate, used to execute the intelligent control method for an electromagnetically driven water-blocking gate as described in the first aspect. The intelligent control system includes: a water level sensing module, used to collect external water level information in real time through a water level sensor installed at a preset monitoring position in the station building, and synchronize this information to a control unit to determine the water level based on a water level threshold; and an execution triggering module, used to trigger a water-blocking gate driving command when the detected water level exceeds a preset warning water level, wherein the control unit sends an execution signal to the electromagnetic drive component, causing... The electromagnetic drive component generates electromagnetic attraction according to initial electromagnetic parameters to control the water-blocking gate panel to fasten tightly to the door frame structure cover, forming an elastic sealing water-blocking structure; the environmental feedback module is used to monitor the environment inside the gate panel through detection sensors installed inside the station building, and feeds the environmental monitoring data back to the control unit. Based on the environmental monitoring data, the water-blocking strength is analyzed to obtain electromagnetic control information; the forward control module is used to send electromagnetic control signals to the electromagnetic drive component through the control unit according to the electromagnetic control information, driving and adjusting the electromagnetic attraction force to ensure a stable pressing state between the water-blocking gate panel and the door frame structure, thereby maintaining the water-blocking sealing target of the gate panel.

[0016] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0017] Water level sensors installed at preset monitoring positions within the station building collect real-time information on the external water level. This information is then synchronized to the control unit, which uses a water level threshold to determine the water level. When the detected water level exceeds a preset warning level, a water-blocking gate drive command is triggered. The control unit sends an execution signal to the electromagnetic drive assembly, causing it to generate electromagnetic attraction according to initial electromagnetic parameters. This attraction is used to control the water-blocking gate to fasten itself tightly to the door frame structure, forming an elastic, sealed water-blocking structure. Detection sensors installed inside the station building monitor the environment inside the gate and feed this data back to the control unit. Based on this data, the water-blocking strength is analyzed to obtain electromagnetic control information. According to this information, the control unit sends an electromagnetic control signal to the electromagnetic drive assembly, driving and adjusting the electromagnetic attraction force to maintain a stable, pressed state between the water-blocking gate and the door frame structure, thus ensuring the gate remains sealed against the water. In other words, by deploying detection sensors on the inside of the door panel to collect environmental data in real time and feeding the data back to the control unit for water-blocking strength analysis, the adsorption force of the electromagnetic drive component is dynamically adjusted accordingly, so that the door panel and the door frame always maintain a stable and tight state, thereby improving the response speed of the water-blocking door panel to changes in water level, and thus improving the sealing performance and waterproofing effect of the water-blocking door panel.

[0018] The above description is merely an overview of the technical solution of this application. To better understand the technical means of this application and to facilitate its implementation according to the description, and to make the above and other objects, features, and advantages of this application more apparent, specific embodiments of this application are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent through the following description. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating the intelligent control method for the electromagnetically driven water-blocking gate of this application.

[0021] Figure 2 This is a schematic diagram of the structure of the intelligent control system for the electromagnetically driven water-blocking gate of this application.

[0022] Figure labeling: Water level sensing module 11, execution triggering module 12, environmental feedback module 13, forward control module 14. Detailed Implementation

[0023] This application provides an intelligent control method and system for an electromagnetically driven water-retaining gate, solving the technical problem in existing technologies where the lack of continuous monitoring and adaptive adjustment of the sealing status after the water-retaining gate is closed leads to an inability to promptly detect and respond to sealing failures. By deploying detection sensors on the inside of the gate to collect environmental data in real time and feeding the data back to the control unit for water-retaining strength analysis, the adsorption force of the electromagnetic drive components is dynamically adjusted to ensure the gate and frame remain in a stable, pressed state, improving the gate's response speed to water level changes and thus enhancing its sealing performance and waterproofing effect.

[0024] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0025] Example 1, please refer to the appendix. Figure 1 This application provides an intelligent control method for an electromagnetically driven water-blocking gate, wherein the intelligent control method for the electromagnetically driven water-blocking gate is applied to an intelligent control system for the electromagnetically driven water-blocking gate, and the intelligent control method for the electromagnetically driven water-blocking gate specifically includes the following steps:

[0026] The intelligent water-blocking gate includes a water-blocking gate panel, a gate frame structure, an electromagnetic drive assembly, a sensor assembly, and a control unit.

[0027] Furthermore, this application also includes the following steps: the water-blocking gate panel includes: an outer waterproof panel; an inner reinforcing panel; a honeycomb support frame, disposed between the outer waterproof panel and the inner reinforcing panel, used to reduce the weight of the gate panel while ensuring the overall rigidity of the gate panel; and an elastic sealing element, disposed around the periphery of the water-blocking gate panel, used to generate elastic compression when the water-blocking gate panel is pressed against the door frame structure by the electromagnetic drive component, so as to form a water-blocking sealing structure.

[0028] Specifically, the intelligent water-blocking gate is composed of a high watertightness composite structure water-blocking gate, an electric magnetic pressure sealing device, and a multi-modal intelligent control unit. Through mechatronics design, it realizes active waterproof protection and status self-sensing function at the station entrance, including the water-blocking gate, gate frame structure, electromagnetic drive components, sensor components, and control unit.

[0029] The width and height of the floodgate are determined based on the station entrance dimensions. The floodgate structure includes an outer waterproof panel, an inner reinforcing panel, a honeycomb support frame, and elastic seals. The outer waterproof panel is the surface of the panel facing outwards from the station building, directly contacting accumulated water and floating debris, and must possess high weather resistance, corrosion resistance, and impact resistance. The inner reinforcing panel is the surface of the panel facing inwards from the station building, primarily bearing internal tensile forces and transferring loads through its connection with the frame; it typically forms a skin structure together with the outer panel. The honeycomb support frame is a sandwich structure located between the inner and outer panels, using a honeycomb-shaped geometric arrangement of the core material, possessing extremely high specific stiffness, significantly reducing weight while ensuring the panel's bending and compressive strength. The elastic seals are strip-shaped components made of EPDM rubber, silicone rubber, or thermoplastic elastomers, typically designed with a hollow or lip-shaped cross-section, installed in grooves around the perimeter of the panel. When the panel is pressed against the frame, the seals are compressed and deformed, filling the microscopic gaps between the panel and the frame, achieving a zero-leakage seal. The water-retaining door panel is made of special composite materials, such as a polymer-based reinforcing layer + elastic sealing strip composite structure, possessing dual core performance characteristics: First, high water tightness, achieved through precision-machined contact interface (door panel and door frame mating surface) design and controlled pre-compression of the elastic sealing components, ensuring an interface gap ≤0.1mm under normal mating conditions, meeting IPX8 waterproof requirements; Second, strong pressure resistance, based on a composite structure design of a honeycomb reinforced skeleton and impact-resistant coating, capable of withstanding ≥100kPa hydrostatic pressure or instantaneous impact loads, such as impacts from floating objects, preventing deformation and failure. Under normal conditions, the door panel retains a conventional mechanical hinge / sliding track structure, supporting convenient manual opening and closing operation.

[0030] The door frame structure is a metal or concrete frame fixedly installed around the station entrance, forming a closed interface with the water-retaining door panel. It usually has pre-embedded contact surfaces or locking points for cooperation with the electromagnetic drive assembly. The electromagnetic drive assembly is an actuator consisting of an electromagnet coil, iron core, armature, and mounting bracket. It can generate controllable electromagnetic attraction when energized, pulling or attracting the door panel to press against the door frame. The electromagnetic drive assembly integrates an electromagnetic drive module and a displacement feedback unit, serving as the actuator for dynamic sealing between the door panel and the door frame. The sensor assembly includes water level sensors, humidity sensors, pressure sensors, displacement sensors, etc., used to collect data such as external water level, internal environment, contact pressure, and door panel position. The control unit is a control center with a microcontroller or programmable logic controller as its core, receiving sensor signals, running control algorithms, and outputting drive commands.

[0031] When the start command is received from the control unit, the electromagnetic drive module is energized and energized to generate a directional magnetic field. By adjusting the current, an adjustable adsorption force of 0-500N is achieved, driving the door panel to move along the preset guide rail towards the door frame. The elastic compression component (such as a disc spring group) further compensates for the micro-unevenness of the contact interface, ultimately achieving a high-precision fit between the door panel and the door frame, with a fitting pressure ≥80kPa. When the close command is received, the electromagnetic drive module is de-energized and demagnetized, the magnetic field disappears, the elastic compression component resets and releases the door panel, restoring the door panel to its free opening and closing state.

[0032] When designing a flood-retaining gate panel, the materials and dimensions of the outer waterproof panel and the inner reinforcing panel are determined first. Suitable waterproofing and reinforcing materials are selected to ensure the gate panel is both effectively waterproof and possesses sufficient strength and stability. In the gate panel design, a honeycomb support frame is integrated between the outer waterproof panel and the inner reinforcing panel, ensuring overall rigidity while reducing the weight of the gate panel, making it easier to operate and install. Elastic seals are installed around the perimeter of the flood-retaining gate panel. When the electromagnetic drive assembly presses the gate panel against the door frame structure, the elastic seals undergo elastic compression, thereby forming an effective seal between the gate panel and the door frame.

[0033] Furthermore, this application also includes the following steps: when the monitored external water level is lower than the preset warning level, the control unit controls the electromagnetic drive component to de-energize, so that the water-blocking gate is released from the electromagnetic locking state and returns to the open state.

[0034] Specifically, when the water level drops below the warning level and remains stable for 30 seconds, a low-level shutdown signal is output to release the seal. Because water levels may fluctuate during the receding process, the control unit cannot immediately cut off power based on a single instance of the water level falling below the threshold, as this could lead to frequent opening and closing of the door. Therefore, a delay mechanism to prevent accidental activation is implemented in the program design: only when the water level remains below the warning level for a certain duration, such as 30 consecutive seconds, is it determined that the water level has stabilized and the release procedure can begin. During the delay, the control unit continues to monitor the water level. If any collected value exceeds the warning level again, the delay counter is immediately reset and the timing restarts, ensuring that the flood control status is only released when it is truly safe.

[0035] Once all release conditions are met, the control unit generates a power-off command. Simultaneously, the control unit records the timestamp of the release event and the water level at that time. After the electromagnetic drive component is powered off, the current in the electromagnet coil rapidly drops to zero, the magnetic field disappears, and the electromagnetic attraction is completely lost within tens of milliseconds. At this point, the door panel is no longer bound by the electromagnetic force and begins to move towards the open state. After the door panel is fully open, it enters standby mode. At this time, the electromagnetic drive component is completely powered off, operating in zero-power standby mode. The control unit continues to operate at low power, continuously monitoring the water level sensor, preparing for the next possible flood event. A delayed confirmation mechanism avoids false releases caused by brief fluctuations in water level, ensuring that the door panel only reopens after the accumulated water has truly and stably receded, preventing premature opening and secondary water ingress.

[0036] The water level sensor, set at a preset monitoring position in the station building, collects information on the height of external water accumulation in real time, and synchronizes it to the control unit to determine the water level based on the water level threshold.

[0037] When the detected water level exceeds the preset warning level, the water-blocking gate is triggered. The control unit sends an execution signal to the electromagnetic drive component, causing the electromagnetic drive component to generate electromagnetic attraction according to the initial electromagnetic parameters. This attraction is used to control the water-blocking gate to fasten to the cover of the gate frame structure, forming an elastic sealing water-blocking structure.

[0038] Specifically, a water level sensor is installed at the lowest point of the terrain outside the station entrance. Taking a pressure-type level gauge as an example, the sensor probe is fixed at the bottom of the sump approximately 100mm below ground level, ensuring the sensor's zero point is aligned with the ground reference plane. The sensor signal cable is protected by conduit and leads to the electrical control box inside the station, connecting to the analog input module of the control unit. Based on the station's flood control design requirements, a warning water level threshold is set within the control unit, which can be modified via a human-machine interface (HMI) according to actual conditions. The water level sensor collects external water level information in real time and automatically reports data at fixed time intervals, ensuring timely capture of changes in water level. The external water level information is the vertical depth of water above the ground level outside the station, typically measured in millimeters or centimeters. This value, relative to the station entrance threshold or ground level, directly determines whether water may flood the station. For example, a warning water level threshold of 250mm is set within the control unit and stored in the PLC's retention register, which can be modified via a host computer or HMI. A loop interrupt program is written to execute the data collection task every 500mm. During each data acquisition, the PLC reads the analog input value and performs digital filtering: five consecutive data acquisitions are performed at the same time, the maximum and minimum values ​​are removed, and the average of the remaining three values ​​is taken as the valid water level value. The valid water level value is then compared with 250mm.

[0039] When a comparison result determines that the valid water level value is greater than or equal to the water level threshold, the floodgate drive command is triggered. To prevent frequent starts and stops due to water level fluctuations, a confirmation delay can be added; triggering is only confirmed after three consecutive data acquisitions (1.5 seconds) all exceed the threshold. After confirmation, the PLC sets the digital output point used to control the electromagnetic drive component to a high level. Simultaneously, the PLC records the trigger time, water level value, and other data to its internal log and sends a floodgate activation alarm message to the monitoring center via the communication interface.

[0040] A high-level signal from the digital output point drives an intermediate relay, closing its contacts and activating the power circuit of the electromagnetic drive assembly. The power circuit may include an adjustable current-limiting resistor or a DC speed controller to ensure the electromagnet current rises according to preset initial electromagnetic parameters. For example, assuming a preset initial current of 3.5 amps, the corresponding attraction force of a single electromagnet is approximately 450 N; with eight electromagnets, the total attraction force is 3600 N. After the electromagnets are energized, their coils generate a magnetic field, magnetizing the iron core. This magnetizes the armature mounted on the door panel, overcoming the weight of the door panel (approximately 100 kg), the friction of the guide rail (approximately 50 N), and the initial contact rebound force of the seal (approximately 200 N), thus driving the door panel to move along the guide rail towards the door frame.

[0041] As the door panel gradually approaches the door frame, the elastic seals installed around the door panel first contact the door frame's mating surface. The electromagnetic attraction continues, forcing the seals to undergo elastic compression deformation. The designed compression amount is typically 20% to 35% of the seal's original height; for example, a seal originally 15mm high becomes 10.5mm after compression, a compression of 4.5mm. At this point, rebound stress is generated inside the seal, filling the microscopic gaps between the door panel and the door frame, and creating a contact pressure exceeding 80kPa at the door panel-frame interface. When the door panel moves to its limit position, such as contacting the hard limit block on the door frame, the mechanical action is completed, and a stable elastic sealing water-blocking structure is established. The electromagnetic drive assembly remains energized, continuously providing electromagnetic attraction to counteract the water pressure pushing the door panel open and the long-term creep relaxation of the seals. The control unit continues to poll the water level sensor and internal humidity sensor, entering the subsequent dynamic control phase. The elastic sealing water-blocking structure is formed when the door panel is pressed tightly, the elastic sealing element is compressed, and fills all the micro gaps between the door panel and the door frame, forming a continuous and elastic waterproof barrier that can withstand a certain pressure of water head.

[0042] For example, the entrance threshold height is 300mm, the first-level warning threshold is 150mm, and the second-level action threshold is 250mm. An immersion-type level gauge is used, with a range of 0 to 2m, an output of 4 to 20mA, and an accuracy of 0.5%FS. It is installed 0.5 meters below the entrance steps, with zero-point calibration at the ground level. The PLC control unit integrates two analog inputs. Configuration channel 0 has a range of 0 to 27648, corresponding to 0 to 20mA. The electromagnetic drive assembly consists of eight DC24V electromagnets, each with a rated suction force of 500N and a current of 3A. The initial parameters are set to a current of 3.2A, corresponding to a theoretical suction force of approximately 480N, for a total suction force of 3840N. The power supply uses a Mean Well S-350-24 switching power supply with a maximum output of 15A. At 10:00 AM, water was manually added to the sump, and the water level gradually rose from 0mm. At 10:15 AM, the water level reached 150mm, and the PLC recorded a warning event but did not trigger the drive. At 10:23 AM, the water level rose to 248mm, and the sensor current was approximately 15.0 mA, but still no trigger was activated. At 10:24 AM, the water level reached 252mm, and the sensor current was 15.04 mA. The PLC collected three consecutive values ​​of 251mm, 253mm, and 252mm, all exceeding the 250mm threshold. Within 0.1 seconds of triggering, the PLC's digital output Q0.0 was set high. When the door is flat, the intermediate relay KA1 is energized, and the electromagnet power supply is turned on. The measured electromagnet current rises to 3.18 amps, slightly lower than the set value. Due to circuit resistance loss, the total suction force is about 3800 N. The door panel starts to move from the stationary position, i.e., 20 mm away from the door frame. It contacts the door frame after 0.8 seconds and reaches the maximum compression position after 1.5 seconds. The membrane pressure sensor installed between the door panel and the door frame shows that the adhesion pressure is 92 kPa. Water is continued to be poured into the sump until the water depth is 600 mm. It is maintained for 30 minutes. There is no leakage on the inside of the door, and the humidity sensor reading remains at 38% RH.

[0043] By automatically activating the flood control program the moment the water level reaches the warning line, it effectively addresses the flood blind spot problem, especially during nighttime and unattended periods, reducing the response time from 5 to 30 minutes manually to less than 2 seconds. Preset electromagnetic parameters generate controllable initial suction, ensuring the door panel overcomes various resistances and compresses the seals to the designed working point, forming a reliable initial waterproof barrier and preventing damage caused by insufficient suction leading to incomplete closure or excessive suction causing impact damage.

[0044] The internal environment of the door panel is monitored by detection sensors installed inside the station building, and the environmental monitoring data is fed back to the control unit. Based on the environmental monitoring data, the water-blocking strength is analyzed to obtain electromagnetic control information.

[0045] Furthermore, this application also includes the following steps: the environmental monitoring data includes humidity monitoring data and water seepage detection signals; the environmental monitoring data is filtered and combined with sealing contact pressure information to identify the sealing status; the sealing compression amount is determined based on the displacement information between the current water-blocking door panel and the door frame structure; based on the water-blocking sealing target of the door panel, the sealing compression amount is analyzed by magnetic attraction compensation according to the sealing status identification result to obtain the sealing compensation compression amount, which is then converted into electromagnetic control information.

[0046] Specifically, sensors installed inside the station building—specifically, sensing devices mounted on the inner side of the door panels—monitor changes in the internal environment after the door panels are sealed, including humidity sensors and water seepage detection signals. Real-time monitoring of the station building's interior space protected by the door panels is conducted, with a focus on whether water vapor or liquid water seeps in from the door panel's sealing interface. This system, in conjunction with external water level monitoring, forms a complete sensing system. For example, temperature and humidity sensor probes are mounted on the reinforced surface of the inner side of the door panel, simultaneously outputting temperature and relative humidity data with an accuracy of ±1.5%RH. Leakage detection lines are embedded near the bottom of the door panel where it meets the door frame, using two parallel bare wires. Under normal conditions, the resistance is infinite, but when exposed to water, the resistance between the wires drops sharply to tens of kilohms. Simultaneously, thin-film pressure sensors are installed at multiple key stress points between the door panel and the door frame to measure localized bonding pressure. The signal lines from all sensors are connected to the analog input module of the control unit. The control unit polls all internal sensors at fixed intervals to obtain environmental monitoring data, including humidity monitoring data and water seepage detection signals.

[0047] Data filtering is applied to environmental monitoring data, which involves digitally processing the raw sensor signals to remove noise, spikes, and transient fluctuations, extracting stable and reliable valid data. For example, a moving average filter is used for collected humidity data, establishing a circular buffer of length 10. Each time new data is collected, all data in the buffer are summed and divided by 10 to obtain the current filtered output value. Then, the oldest data is removed and the new data is stored. This data filtering effectively suppresses sensor noise and transient environmental disturbances. Amplitude limiting filtering is used for pressure data: an upper limit is set for the rate of pressure change, such as no more than 20 kPa per second. If the difference between the current collected value and the previous value exceeds this limit, it is considered interference, and the previous value is used as the valid value for the current measurement. Leakage detection signals are inherently switching signals; only de-jitter processing is needed. Three consecutive measurements are taken. If the three states are consistent, a state change is confirmed; otherwise, the original state is maintained.

[0048] The filtered humidity monitoring data and water leakage detection signals are combined with the sealing contact pressure information to identify the sealing status and determine whether the current seal is effective, whether there is a risk of leakage, or whether leakage has already occurred. The sealing contact pressure information is a value collected by a pressure sensor installed between the door panel and the door frame, reflecting the tightness of the current sealing interface. For example, if the leakage detection signal indicates the presence of water or a humidity value greater than 90%RH for more than 10 seconds, it is determined that leakage has occurred and an emergency alarm is triggered; if the leakage detection signal indicates no water and a humidity value between 70% and 90%RH, and the pressure value is lower than the target pressure (e.g., 80 kPa) but higher than 50 kPa, it is determined that there is a slight risk of leakage; if the humidity value is lower than 70%RH and the pressure value is greater than or equal to 80 kPa, it is determined that the seal is good; if the pressure value is lower than 50 kPa, regardless of the humidity, it is determined that the pressure is seriously insufficient and immediate compensation is required.

[0049] A pull-wire displacement sensor is installed between the water-retaining gate panel and the door frame structure. The sensor body is fixed to the door frame, and the pull wire end is fixed to the corresponding position on the gate panel. The control unit reads this signal and converts it into the actual distance between the gate panel and the door frame. The control unit reads the output value of the displacement sensor and converts it into the current distance between the gate panel and the door frame. First, the gate panel is moved to a position where it just contacts the seal but has not yet been compressed. At this point, the reading of the displacement sensor is recorded as the contact point reference value. Subsequently, during normal operation, the control unit reads the current displacement value in real time. The difference between the current displacement value and the contact point reference value is the current seal compression. This compression reflects the degree to which the seal is compressed and is one of the core indicators for judging the sealing performance.

[0050] The control unit reads the preset door panel water-blocking sealing target from the memory, usually given in the form of a target compression amount. It compares the current actual compression amount with the target compression amount. If the current compression amount has reached or exceeded the target value, and the sealing status identification result is good, no compensation is needed, and the current electromagnetic parameters are maintained. If the current compression amount is lower than the target value, or the sealing status identification result indicates insufficient pressure, magnetic attraction compensation analysis is initiated. The difference between the current compression amount and the target compression amount is calculated to obtain the compression amount that needs to be compensated. Based on the compression characteristic curve of the seal, the additional rebound force that needs to be overcome to increase from the current compression amount to the target compression amount is determined. Simultaneously, considering the pushing effect of water pressure on the door panel, combined with the current external water level data, the total electromagnetic attraction force that needs to be increased is calculated. Based on the magneto-current characteristic curve of the electromagnetic drive component, the electromagnetic attraction force that needs to be increased is converted into the current value that needs to be increased or the PWM duty cycle adjustment amount. At this point, the sealing compensation compression amount has been converted into electromagnetic control information that the electromagnetic drive component can execute.

[0051] The calculated target current value or duty cycle is written to the driver of the electromagnetic drive component. The driver adjusts its output according to the command, increasing the electromagnetic attraction and pressing the door panel further against the door frame, thus increasing the sealing compression. During the adjustment process, the control unit continuously monitors the feedback data from the displacement and pressure sensors to verify whether the compression has indeed reached the target value. If the target is not met after one adjustment, iterative fine-tuning is performed until the sealing compression stabilizes within the target range, thereby achieving closed-loop maintenance of the sealing state.

[0052] For example, during initial operation, the electromagnetic drive current is set to 3.0A. The displacement sensor reports a current compression of 3.5mm, the pressure sensor averages approximately 65kPa, and the humidity reading is 35%RH. To simulate pressure decay caused by seal aging, the limit device is manually adjusted to retract the door panel by 0.5mm. The displacement sensor shows the compression has decreased to 3.0mm, and the pressure reading has dropped to 52kPa. The control unit detects that the compression is below the target value of 4.5mm and the pressure is below 80kPa, determining it as insufficient pressure and initiating magnetic compensation analysis. The difference between the target compression of 4.5mm and the current 3.0mm is 1.5mm. Referring to the seal compression curve, an additional rebound force of approximately 640N is required. Based on the characteristics of electromagnets, the total attraction force increases by approximately 112N for every 0.1A increase in current, calculating that an additional current of approximately 0.57A is needed. The control unit adjusts the current setting to 3.6A, and the displacement sensor reports the compression gradually increasing to 4.2mm, with the pressure rising to 78kPa. After a second fine-tuning of the system, the current was adjusted to 3.65A, the compression was stabilized at 4.5mm, the pressure reached 85kPa, and the humidity remained unchanged at 35%RH, thus the compensation was completed.

[0053] Continuous monitoring by humidity sensors allows for the detection of anomalies before significant liquid water infiltration, even at the stage of water vapor permeation. This provides maintenance personnel with valuable time to address the issue, shifting from reactive response to proactive prevention. By integrating multi-source information such as humidity, pressure, displacement, and leakage detection, the system determines the effectiveness of the seal and distinguishes between different fault modes, including insufficient pressure, seal aging, and existing damage. When a pressure drop or insufficient compression is detected, the system automatically calculates the required compensation and increases electromagnetic attraction, effectively resisting adverse factors such as creep relaxation and material shrinkage due to temperature changes during long-term use, ensuring continuous compliance with water-blocking sealing requirements.

[0054] Furthermore, this application also includes the following steps: establishing time series data for water level monitoring, performing water level change trend analysis, and obtaining the water level change rate; performing dynamic resistance analysis based on the water level change rate to determine the corresponding water-blocking pressure requirement; using the magnetic circuit state and electromagnetic drive current as control magnetic variables, performing matching analysis on the control magnetic variables based on the water-blocking pressure requirement, determining the matching magnetic circuit reluctance and electromagnetic drive current, and generating the electromagnetic control information.

[0055] Furthermore, this application also includes the following steps: identifying water level change stages based on the water level change rate; performing water-blocking pressure analysis based on the current water level height and the water level change rate of each water level change stage, calculating the static pressure generated by the water level height and the dynamic resistance pressure generated by the water level change rate, and determining the static pressure component and the dynamic correction pressure component; and performing superposition calculation based on the static pressure component and the dynamic correction pressure component to obtain the water-blocking pressure requirement.

[0056] Furthermore, this application also includes the following steps: establishing a set of candidate magnetic circuit states for the electromagnetic drive component and determining the magnetic reluctance corresponding to each candidate magnetic circuit state; determining the target electromagnetic adsorption force based on the water-blocking pressure requirement, and calculating the electromagnetic drive current required to satisfy the target electromagnetic adsorption force under each candidate magnetic circuit state; screening each candidate magnetic circuit state according to the adjustment range and control accuracy of the electromagnetic drive current, and determining the matching magnetic circuit state among the candidate magnetic circuit states that meet the current constraint conditions, wherein the current constraint conditions include the rated current constraint of the electromagnetic coil, the power supply output capability constraint, and the current change rate constraint; and refining the adjustment of the electromagnetic drive current under the matching magnetic circuit state to obtain the matching magnetic reluctance and electromagnetic drive current.

[0057] Specifically, the system continuously receives external water level data collected by water level sensors, with each data point accompanied by the acquisition time. This data is stored chronologically in the control unit's memory, forming a dynamically updated time-series dataset. At fixed time intervals, a trend analysis is performed on the time-series data. The water level data from the most recent period is used to fit a straight line reflecting the water level's trend over time; the slope of this line represents the current rate of water level change. The rate of change is expressed as the amount of water level change per unit time; a positive value indicates that the water level is rising, and a negative value indicates that the water level is receding. The magnitude of the value reflects the speed of the rise or fall.

[0058] Based on the calculated rate of water level change and a preset rate threshold, the system identifies the current stage of water level change, such as a slow rise, a rapid rise, a peak stabilization stage, or a receding stage. Different stages require different pressure from the floodgates. The preset rate threshold can be set based on engineering experience. For example, a rise rate less than 10 mm / min can be defined as a slow rise, a rise rate greater than or equal to 10 mm / min as a rapid rise, a rate of change close to zero as a peak stabilization stage, and a rate with negative values ​​as a receding stage. Different stages correspond to different hydrological characteristics and pressure requirements for the floodgates.

[0059] The static pressure component is calculated based on the current water level. The calculation of static pressure follows the basic formula of fluid statics: the density of water multiplied by the acceleration due to gravity, and then multiplied by the water depth. The density of water is taken as 1000 kg / m³. 3 The acceleration due to gravity is taken as 9.8 m / s². 2 After converting the water level to meters, the static pressure value, expressed in Pascals, is calculated using the fundamental formulas of fluid statics. This pressure acts uniformly over the entire submerged area of ​​the door panel and is the basic pressure that the door panel must withstand. Static pressure is the hydrostatic pressure generated by the current water depth, following the fundamental laws of fluid statics; the pressure value is directly proportional to the water depth, and its direction is perpendicular to the door panel surface.

[0060] Based on the identified water level change stages, the corresponding dynamic pressure coefficient is read from the parameter table. This reflects the strength of the dynamic impact effect at different water conditions. Generally, the coefficient is larger during rapid rises, smaller during slow rises, and zero during stable periods. The basic formula for calculating dynamic correction pressure is the coefficient multiplied by the square of the water level change rate. The water level change rate needs to be converted to SI units (meters per second). Dynamic counter-pressure is the additional pressure generated by the water level change rate, reflecting the effect of the dynamic impact of the water flow on the gate. The faster the water level rises, the greater the kinetic energy of the water body, and the more significant the impact effect on the gate, requiring additional pressure reserves to counteract this dynamic effect. The control unit converts the current water level change rate from mm / min to m / s, then takes its square, and multiplies it by the dynamic pressure coefficient read from the parameter table to obtain the dynamic correction pressure component. The dynamic correction pressure component reflects the additional effect of water kinetic energy on the gate during water level changes. It is significant during rapid water level rises but negligible during stable or slow water level changes.

[0061] The control unit algebraically superimposes the calculated static pressure components and the dynamically corrected pressure components. Since both components are pressure values ​​in Pascals, they can be directly added. The result of the superposition is the total pressure that the gate must withstand under the current operating conditions, called the water-retaining pressure demand. The water-retaining pressure demand is a comprehensive indicator that considers both the static load generated by the current water depth and the dynamic impact effect caused by the rate of water level change. In other words, it is the total pressure that the gate must withstand under the current water conditions, taking into account both static water pressure and dynamic impact. After obtaining this demand value, the control unit can multiply the total demand value by a safety factor greater than one, according to the actual engineering needs, to obtain the target water-retaining pressure value.

[0062] The electromagnetic drive assembly is designed to operate under different magnetic circuit states. These states can be changed by altering the core material, adjusting the air gap, or switching the coil connection method. The control unit's memory stores a set of candidate magnetic circuit states, each corresponding to a set of magnetic circuit parameters, the most important of which is the magnetic reluctance. Magnetic reluctance determines the magnitude of the magnetic flux generated under a given current, thus affecting the electromagnetic attraction. The reluctance value for each magnetic circuit state is obtained through experimental testing and pre-stored in the control unit.

[0063] The electromagnetic drive assembly is designed to operate under different magnetic circuit states to adapt to varying requirements for suction force, response speed, and energy consumption under different working conditions. The control unit's memory stores a set of candidate magnetic circuit states, encompassing all feasible operating modes considered during the design phase. Changes in the magnetic circuit state can be achieved in several ways, such as altering the core material, switching between ordinary silicon steel sheets, high-permeability alloys, and ferrite materials. Different materials have different permeabilities, thus affecting the magnetic reluctance of the magnetic circuit. Another method is to adjust the size of the air gap in the magnetic circuit; a smaller air gap results in lower magnetic reluctance but increases the mechanical difficulty of implementation; a larger air gap increases magnetic reluctance but facilitates door panel movement. Alternatively, the effective number of turns can be changed by switching the coil connection method. Increasing the number of turns increases the magnetomotive force generated under the same current, but the resistance also increases accordingly.

[0064] For each candidate magnetic circuit state, its corresponding magnetic reluctance value needs to be determined in advance. Based on Ohm's law for magnetic circuits, the geometric dimensions and material permeability of each part of the magnetic circuit must be considered. Magnetic reluctance is the opposition of a magnetic circuit to magnetic flux, similar to resistance in a circuit. The magnitude of the reluctance depends on the permeability of the magnetic circuit material, the length of the magnetic circuit, and its cross-sectional area. The smaller the reluctance, the greater the magnetic flux generated under the same current, and the stronger the electromagnetic attraction.

[0065] Based on the water pressure requirement and the geometric dimensions of the gate panel, the total water pressure is calculated. The water pressure requirement is a pressure value in Pascals, multiplied by the effective water-blocking area of ​​the gate panel to obtain the total water pressure in Newtons. Considering potential uncertainties in actual operating conditions, such as wind and wave impacts and collisions with floating objects, a safety factor greater than 1 is multiplied by the total water pressure to obtain the target electromagnetic adsorption force. The safety factor can be selected between 1.2 and 2.0 depending on the flood control level and importance of the station building.

[0066] After obtaining the target electromagnetic attraction force, the control unit calculates the electromagnetic driving current required to achieve the target attraction force in each of the candidate magnetic circuit states. Electromagnetic attraction force is proportional to the square of the magnetic flux, while magnetic flux is proportional to the current and inversely proportional to the magnetic reluctance. Therefore, for a given target attraction force, the required current is proportional to the square root of the magnetic reluctance. The greater the magnetic reluctance, the greater the current required to generate the same attraction force; the smaller the magnetic reluctance, the smaller the required current. The control unit iterates through all candidate magnetic circuit states, calculates the corresponding required current value for each, and temporarily stores the calculation results.

[0067] The electromagnetic drive current required for each candidate magnetic circuit state is calculated, and these states are then screened to select feasible ones. Each magnetic circuit state corresponds to a coil with a maximum designed continuous operating current, the rated current of which depends on the coil's wire diameter, number of turns, and heat dissipation conditions. If the calculated current requirement for a certain magnetic circuit state exceeds the rated current of the coil corresponding to that state, it means that prolonged operation in that state will lead to overheating or even damage to the coil; therefore, this magnetic circuit state is deemed infeasible and eliminated. The power supply for the electromagnetic drive components has a maximum output current capability, determined by the power supply's rated power and output voltage. If the current requirement for a certain magnetic circuit state exceeds the maximum current the power supply can provide, then regardless of whether the coil can withstand it, it cannot actually output that current value; therefore, this magnetic circuit state is also eliminated. When adjusting from the current state to a new current value, the rate of current change needs to be limited. Excessive current changes can generate electromagnetic shocks, potentially causing severe vibrations of mechanical components, and may also lead to overshooting or even instability in the control system. The control unit has a preset maximum allowable rate of change of current. If the rate of change of current required to adjust from the current to a certain magnetic circuit state exceeds this allowable value, it is necessary to consider whether the state is feasible or whether it can be achieved through step-by-step adjustment. After screening by constraints on the rated current of the electromagnetic coil, the power supply output capacity, and the rate of change of current, the remaining candidate magnetic circuit states are the feasible states. If there is more than one feasible state, the control unit must select one as the matching magnetic circuit state. If the goal is to minimize energy consumption, the state with the minimum required current is selected; if the goal is to maximize control accuracy, the state with the best current adjustment range and the highest resolution is selected; if the goal is to maximize response speed, the state with the minimum magnetic reluctance and the maximum attraction at the same current is selected.

[0068] Based on the magnetic reluctance value corresponding to the matching magnetic circuit state, the electromagnetic drive current is finely adjusted. The magnetic reluctance values ​​and electromagnetic attraction calculation formulas used in theoretical calculations may contain errors, and factors such as temperature changes and core hysteresis in the actual working environment will also affect the electromagnetic characteristics. Therefore, precise fine-tuning of the current is required through closed-loop feedback. First, the theoretical current value is output, and then the actual sealing effect is read through a displacement sensor or pressure sensor. If the sealing compression amount fed back by the displacement sensor has not reached the target value, or the bonding pressure fed back by the pressure sensor is lower than the design requirements, it indicates that the actual electromagnetic attraction force generated is less than the theoretically calculated value, and the current needs to be increased appropriately. Conversely, if the compression amount or pressure has exceeded the target value, the current can be reduced appropriately to save energy. The control unit gradually adjusts the current in fixed steps, waiting for the system to stabilize after each adjustment, and then reading the sensor feedback again, until the sealing compression amount or bonding pressure reaches the target value range.

[0069] After refined adjustments, the final matched magnetic circuit reluctance and electromagnetic drive current together constitute the electromagnetic control information, including the magnetic circuit status identifier and precise current setpoint, which is sent by the control unit to the electromagnetic drive component for execution. For example, the candidate magnetic circuit states and reluctances are as follows: Magnetic circuit state A has a core material of ordinary silicon steel, an air gap of 1mm, and a reluctance of 1; magnetic circuit state B has a core material of high-permeability alloy, an air gap of 0.5mm, and a reluctance of 0.65; magnetic circuit state C has a core material of ordinary silicon steel, an air gap of 0.2mm, and a reluctance of 0.80; and magnetic circuit state D has a core material of ferrite, an air gap of 1mm, and a reluctance of 1.5. According to the electromagnet calibration curve, a current of 3.2A is required to generate a 4000N attraction force in state A. The attraction force is directly proportional to the square of the current and inversely proportional to the reluctance; therefore, the calculated currents are 3.2A for state A, 2.58A for state B, 2.86A for state C, and 3.92A for state D. The coil's rated current is 3.5A, but state D's 3.92A exceeds the limit and is therefore eliminated. The maximum power output capacity is 4.0A, which is satisfied by all remaining states. The current change rate constraint is a maximum allowable 0.5A / step, which is also satisfied by all remaining states. Therefore, the remaining feasible states are: State A, State B, and State C. Based on the principle of minimizing current, state B (2.58A) is selected as the matching magnetic circuit state. The electromagnetic drive component is switched to state B, and the coil connection method is switched via a relay. The initial output current is 2.58A, the displacement sensor feedback compression is 4.2mm, and the target is 4.5mm. The current is fine-tuned to 2.70A, the compression reaches 4.5mm, and the pressure sensor reading is 86kPa. Finally, the matching magnetic circuit reluctance is determined to be 0.65, and the electromagnetic drive current is 2.70A. The control unit generates electromagnetic control information, state B+2.70A, and sends it to the driver for execution.

[0070] By analyzing the rate of water level change and predicting the trend of water pressure increase, the electromagnetic attraction force can be adjusted in advance to avoid seal failure due to response lag when the water level rises rapidly. The water-blocking pressure is decomposed into static and dynamic components, calculated separately, and then superimposed to ensure that the electromagnetic attraction force accurately matches the actual water conditions, guaranteeing safety while avoiding energy waste caused by excessive pressurization. By establishing a set of candidate magnetic circuit states and performing constraint screening, the optimal magnetic circuit is automatically selected under different operating conditions to achieve the target attraction force with minimal current consumption, reducing power consumption and heat generation.

[0071] Furthermore, this application also includes the following steps: analyzing and predicting the window period of water level exceeding the warning level based on time series data of water level monitoring and related environmental data; analyzing the continuous water blocking demand of the water-blocking gate based on the predicted duration of the exceeding warning window period and the trend of water level change; performing time series analysis on the driving capability of the electromagnetic drive component based on the continuous water blocking demand, and determining the electromagnetic adsorption force maintenance strategy during the exceeding warning window period; and adjusting the magnetic circuit state and electromagnetic drive current in stages according to the electromagnetic adsorption force maintenance strategy to maintain the stable sealing state of the water-blocking gate throughout the entire exceeding warning window period, and generating corresponding electromagnetic control information.

[0072] Specifically, the system acquires time-series data of water level monitoring and simultaneously obtains related environmental data, namely auxiliary information related to flood evolution, through a communication interface. This includes external data such as rainfall intensity forecasts, upstream inflow, tide forecasts, and weather forecasts, which can be obtained from meteorological or water management platforms via the communication interface. A time-series forecasting model, combined with external environmental factors, is used to predict future water level changes. The model inputs include parameters such as current water level, rate of water level change, rainfall intensity, and confluence time. The output is a predicted curve of water level for the next few hours. Based on the predicted curve, the control unit identifies the moment when the water level first exceeds the warning threshold, the moment it reaches its peak, and the moment it falls back below the warning threshold, thereby determining the start and end times and duration of the over-warning window. The prediction results also provide the water level change trend within the window, including key parameters such as the rate of rise, peak water level height, and rate of receding.

[0073] Water flow evolution is a dynamic process. When the water level exceeds the warning line, how long it will last, when it will reach its peak, and when it will recede are all crucial information for the long-term operation planning of electromagnetic drive components. If the length of the window cannot be predicted, either excessive conservatism in maintaining maximum suction for an extended period will lead to wasted energy and coil overheating, or excessive optimism in reducing suction too early will result in seal failure when the water level rises again. The adopted prediction model is a physics-guided temporal neural network fusion model with external features. Its overall architecture consists of five core modules connected hierarchically: The data preprocessing and feature engineering module receives raw water level time series and multivariate environmental data, cleans, aligns, normalizes, and extracts domain features; the physical mechanism constraint module, based on the principle of hydraulic confluence, constructs a lightweight physical model to generate theoretical water level change trends as the guiding input for the neural network; the temporal feature extraction module uses a long short-term memory network to perform deep feature extraction on historical water level sequences, capturing dynamic patterns of water level changes; the multi-source feature fusion module fuses temporal features, physics-guided features, and external environmental features in multiple dimensions, dynamically adjusting the weights of each feature through an attention mechanism; and the window period parameter output module, based on the fused features, outputs key parameters of the over-alert window period, including start and end times, peak water level, and duration of each stage. These five modules are not simply connected in series, but rather involve bidirectional information flow. The physical mechanism constraint module provides theoretical priors for the temporal network, and the biases learned by the temporal network, in turn, correct the systematic errors of the physical model. The fusion module dynamically weighs the contributions of both. Input data includes time-series water level monitoring data and associated environmental data. Abnormal abrupt changes were removed, and a small number of missing values ​​were filled using interpolation. All external data were uniformly interpolated to the same 5-minute time grid as the water level data. A simplified catchment model was constructed based on the unit hydrograph method and Muskingan method in hydrology. This model generalizes the catchment area into several linear reservoirs in series, with the outflow and storage of each reservoir proportional. This physical model is not a general hydrological model, but rather a parameter calibration model specific to the small watershed where the station is located. For example, the catchment area was accurately measured using GIS tools; the river length and slope were obtained through field surveys and topographic maps; infiltration parameters were adjusted according to local soil type and permeable pavement ratio. These parameters are pre-stored in the control unit and can be automatically retrieved based on the station's geographical location. While the physical model has interpretability and extrapolation capabilities, it is not sensitive to local micro-factors (such as temporary construction or pipe blockage) and requires precise physical parameters.

[0074] A three-layer stacked LSTM network is employed, with 128 hidden units per layer. The advantage of LSTM is its ability to memorize dependencies over long periods, making it suitable for processing trending and periodic time-series data such as water levels. The input layer receives pre-processed historical water level time series, with each time step's feature vector containing three dimensions: water level value, rate of change, and acceleration. The first LSTM layer receives the input sequence and outputs the hidden state (128 dimensions) for each time step, capturing short-term fluctuation patterns. The second LSTM layer takes the output of the first layer as input and similarly outputs the hidden state (128 dimensions) for each time step, capturing medium-term trends. The third LSTM layer takes the output of the second layer as input and outputs only the hidden state (128 dimensions) for the last time step, serving as a summary representation of the entire historical sequence. Each LSTM layer in the Dropout layer is followed by Dropout (at a ratio of 0.3) to prevent overfitting.

[0075] Collect water level records from the past 3-5 years at the station's location, along with concurrent rainfall and upstream water level data. If local long-term data is unavailable, transfer learning can be used from neighboring stations with similar hydrological conditions. A sliding window approach is used, with each sample using data from the past 72 hours to predict the next 24 hours. The window step size is 1 hour, generating tens of thousands of training samples. The root mean square error (RMSE) loss function is used; the Adam optimizer is used with a learning rate of 0.001 and a batch size of 64; the training run is 100 epochs with an early stopping mechanism, meaning the training stops if the validation set loss does not decrease for 10 consecutive epochs; the validation set is split, with 20% of the samples randomly selected. The LSTM input features specifically incorporate water level change rate and acceleration because, in flood control scenarios, the second-order trend of water level change is more predictive than the absolute value, and abrupt changes in acceleration often indicate changes in rainfall intensity or the arrival of upstream flood peaks. A trend consistency loss is included in the training loss function because, in window-period prediction, the timing of the peak occurrence is more important than the accuracy of the absolute value of the peak.

[0076] A multi-head attention mechanism is employed to dynamically fuse three types of features. The 128-dimensional vector output by the LSTM represents a deep abstraction of historical water level patterns; the water level curve predicted by the physical model for the next 24 hours is reduced to a 32-dimensional feature vector; external environmental features, including future rainfall forecasts and tide forecasts, are encoded into a 16-dimensional feature vector. The three feature vectors are mapped to the same 64-dimensional dimension through linear transformations. Attention weights for each feature type relative to the prediction task are calculated. These weights are generated by a trainable small neural network (two fully connected layers), with the input being a concatenation of the three feature types and the output being three normalized weight coefficients. The three feature types are then weighted and summed to obtain a 64-dimensional fused feature vector. This fused feature vector is input into a two-layer fully connected network, ultimately outputting window-period prediction parameters. The introduction of the attention mechanism allows the model to dynamically adjust its dependence on information from different sources based on the current water situation. For example, when rainfall is the primary driving factor, the weight of rainfall forecast features automatically increases; when river flooding is the primary threat, the weights of upstream water level and physical model features increase.

[0077] After obtaining the predicted results for the over-warning window period, the control unit performs a detailed analysis of the continuous water blocking demand during this window. The maximum water pressure that must be withstood during the window period is determined. Based on the predicted peak water level, the corresponding maximum static pressure is calculated, determining the maximum suction capacity that the electromagnetic drive component needs to provide. According to the water level prediction curve, the entire window period is divided into several time periods, each corresponding to a different water level range and change characteristics. For example, water pressure gradually increases during the rising phase, remains high during the peak phase, and gradually decreases during the receding phase. The electromagnetic drive component needs to provide different suction levels for each time period. Based on the water level change rate for each time period, the dynamically corrected pressure component is calculated to determine whether additional suction margin is needed to cope with water flow impact. Prolonged continuous operation can cause the electromagnetic coil to heat up, potentially affecting suction stability and equipment lifespan. Therefore, it is necessary to assess whether the thermal capacity of the electromagnetic drive component can meet the requirements based on the total window duration, and if necessary, develop intermittent operation or derating operation plans.

[0078] Based on the analysis results of continuous water blocking demand, the control unit performs a time-series analysis of the driving capability of the electromagnetic drive component, including electromagnetic attraction output capability, heat accumulation characteristics, and energy consumption level. The electromagnetic attraction output capability analysis assesses whether the current electromagnetic drive component has the corresponding output capability for the required attraction level at different times within the window period. This depends on the electromagnet's design parameters, magnetic circuit state, and power supply conditions. For periods where the attraction demand exceeds the normal capacity, it is necessary to consider whether adjusting the magnetic circuit state can increase the output. Electromagnets generate Joule heat when energized; heat accumulation leads to increased coil temperature, increased resistance, and decreased attraction force, potentially burning out the coil in severe cases. The control unit calculates the expected temperature rise curve based on the electromagnet's heating power, heat dissipation conditions, and energization time within the window period to determine if the maximum allowable operating temperature is exceeded. If the temperature rise exceeds the limit, intermittent rest periods or derating operation need to be arranged in the maintenance strategy. The energy consumption level analysis assesses the total energy consumption of the electromagnetic drive component throughout the entire window period, combined with the power supply capacity, to determine whether it can meet the continuous power supply requirements. If the energy consumption is too high, it may be necessary to optimize the control strategy to reduce the average power consumption.

[0079] Based on the timing analysis of continuous water-blocking demand and driving capability, the control unit formulates an electromagnetic adsorption force maintenance strategy to be executed throughout the entire over-alert window period. This is a phased control scheme, including instructions across multiple dimensions such as time nodes, magnetic circuit state switching, and current adjustment. The window period is divided into several control phases, such as the initial compression phase, water level rise phase, peak maintenance phase, water level receding phase, and release preparation phase. Each phase sets different control objectives based on its water condition characteristics. For the initial compression phase, a reliable seal is quickly established, typically using a larger current and optimal magnetic circuit state to ensure the door panel reaches the target compression amount in the shortest possible time. For the water level rise phase, the suction force is dynamically increased according to the water level rise rate, while considering temperature rise limitations, the current rise rate is appropriately reduced as the suction force increases. For the peak maintenance phase, the water level reaches its highest point and remains stable. At this time, the suction force demand is at its maximum but changes are relatively small. The system switches to holding mode, using a smaller holding current in conjunction with a mechanical locking device to reduce power consumption and heat generation. For the water level receding phase, the water pressure gradually decreases, and the suction force is gradually reduced to prepare for subsequent seal release. For the preparation phase, the electromagnetic state is adjusted in advance based on the predicted completion of water receding to ensure smooth door opening after the water has completely subsided. Within each phase, specific magnetic circuit state selection and current setting values ​​are defined. The magnetic circuit state can switch between a high-efficiency low magnetic resistance mode and an energy-saving mode according to the suction force requirements. The current setting is calculated based on the target suction force and the current magnetic circuit state, and is adjusted to take into account temperature rise limitations.

[0080] After determining the electromagnetic adsorption force maintenance strategy, the control unit converts it into executable time-series control commands, generating complete electromagnetic regulation information, which is stored in the form of a time schedule. Each time node corresponds to a set of control parameters, including magnetic circuit status indicators and current setpoints. The electromagnetic regulation information is the final generated set of information containing time-series control commands, used to guide the operation of the electromagnetic drive component throughout the entire window period. After the window period begins, the control unit executes adjustments step by step according to the time schedule. At each stage switching moment, the control unit first adjusts the magnetic circuit status, such as by switching coil connections via relays or adjusting the air gap mechanism, and then adjusts the current value output by the current driver. During the adjustment process, the control unit continuously monitors the feedback from the displacement and pressure sensors to verify whether the sealing status meets expectations. If the actual sealing effect deviates from the target, local fine-tuning is performed, correcting the current value or adjusting the stage switching timing. Throughout the window period, the control unit also continuously updates the water level prediction data. If the actual water conditions deviate significantly from the prediction, the maintenance strategy is dynamically adjusted, and the stage division and parameter settings are re-established to ensure that it can always adapt to changes in the actual water conditions. After the window period ends, the water level drops below the warning line. The control unit gradually reduces the electromagnetic attraction according to the release strategy, and finally cuts off the power to restore the door panel to its free state. At the same time, it records the operating data during the entire window period.

[0081] By analyzing and predicting window periods, future water condition trends can be anticipated in advance, shifting from passive response to proactive planning and ensuring adequate preparation for prolonged water retention. The entire over-alert window period is divided into multiple stages, and differentiated control strategies are developed for the water condition characteristics of each stage, avoiding the inefficiency or insufficient capacity of a single strategy during long-term operation. Time-series analysis is used to assess the temperature rise process of the electromagnetic coil, and the current magnitude and work / rest cycles are rationally arranged in the electromagnetic attraction force maintenance strategy to ensure that the electromagnetic drive components do not fail due to overheating during long-term operation.

[0082] According to the electromagnetic control information, the control unit sends an electromagnetic control signal to the electromagnetic drive component to drive and adjust the electromagnetic adsorption force, so that the water-blocking gate panel and the door frame structure are stably pressed together to maintain the water-blocking and sealing target of the gate panel.

[0083] Furthermore, this application also includes the following steps: the electromagnetic drive assembly includes multiple electromagnetic drive units disposed in different areas of the water-blocking gate panel, establishing a distribution position mapping relationship between each electromagnetic drive unit and the corresponding area of ​​the water-blocking gate panel; pressure data of each area of ​​the gate panel is collected by pressure sensors disposed in different areas of the water-blocking gate panel, and the regional pressure distribution information of the gate panel is determined based on the pressure data; the control unit adjusts the magnetic field strength of the corresponding electromagnetic drive unit according to the regional pressure distribution information and the distribution position mapping relationship, for the zoned electromagnetic control of the water-blocking gate panel.

[0084] Specifically, before sending the execution signal, the control unit performs a final validity verification of the electromagnetic control information, checking whether the target current value is within the rated current range of the electromagnetic coil, whether it exceeds the maximum output capacity of the power supply, and whether the magnetic circuit status indicator corresponds to the actual hardware configuration. If the verification passes, the command sending stage begins; if the verification fails, the previous steps are returned for recalculation or a preset safety default value is used. The control unit generates the corresponding electromagnetic control signal based on the parameters in the electromagnetic control information. For systems using analog control, the control unit outputs a voltage signal corresponding to the target current value through a digital-to-analog converter module; for systems using pulse width modulation (PWM) control, the control unit outputs a square wave signal with a fixed frequency but adjustable duty cycle. Regardless of the signal form used, the control unit waits for feedback confirmation from the driver after sending the command to ensure that the command has been correctly received and executed.

[0085] After receiving the control signal, the electromagnetic drive component activates its internal driver. For magnetic circuit state switching commands, the driver first controls the relay or solid-state switch to change the coil connection, such as switching from the ordinary silicon steel mode (state A) to the ferrite mode (state D). This process typically takes tens of milliseconds. After the magnetic circuit state switch stabilizes, the driver adjusts the output according to the current command. For analog control, the power amplifier circuit linearly adjusts the output voltage; for pulse width modulation control, the duty cycle of the switching device is adjusted. During current adjustment, the driver's internal current sampling circuit monitors the actual current value in real time, compares it with the target value, and ensures that the actual current accurately follows the target value through closed-loop control. The adjustment accuracy is typically within ±1%. As current builds up in the electromagnetic coil, the magnetic field gradually strengthens, and the electromagnet attracts the armature. This attraction is transmitted to the door panel through the armature, causing the door panel to experience a pulling force towards the door frame. At this point, the door panel is in a state of equilibrium: the rebound force of the seal, water pressure, and the weight of the door panel all work together. When the electromagnetic attraction increases, the original balance is broken, and the door panel begins to move slightly towards the door frame, further compressing the seal.

[0086] As the electromagnetic attraction continues, the door panel gradually reaches a new equilibrium position. During this process, the seal is further compressed, and its rebound force increases with the increase in compression. When the rebound force of the seal and the electromagnetic attraction reach a new equilibrium, the door panel stops moving and enters a stable, compressed state. The control unit does not consider a single adjustment sufficient; instead, it continuously monitors the feedback data from the displacement and pressure sensors to verify whether the water-blocking sealing target has been truly achieved. The displacement sensor provides real-time feedback on the current sealing compression, while the pressure sensor provides feedback on the actual pressure at the contact interface. The control unit compares these feedback values ​​with preset target values. If both compression and pressure have reached the target range (e.g., compression greater than or equal to 4.5 mm and pressure greater than or equal to 80 kPa), the sealing condition is confirmed to be good, and the current electromagnetic parameters are maintained unchanged, with only periodic monitoring. If the feedback value has not fully reached the target, the control unit initiates a fine-tuning program: slightly increasing the current based on the current, waiting for stabilization, and then reading the feedback again until the target is reached. If the feedback value exceeds the target by too much, the current is appropriately reduced to avoid over-compression and damage to the seal.

[0087] Throughout the maintenance process, the control unit simultaneously monitors the system status and prepares to handle various abnormal situations. If the actual current deviates significantly from the target current, a fault alarm is immediately triggered, and an attempt is made to switch to the backup drive channel. If the seal compression continues to decrease and the current has been adjusted to the upper limit but cannot be reversed, a serious fault is identified, an emergency audible and visual alarm is triggered, and maintenance personnel are notified. If the external water level has fallen below the warning line, the current is gradually reduced according to the preset release strategy, and finally the power is cut off to restore the door panel to its free state.

[0088] The electromagnetic drive assembly includes multiple electromagnetic drive units positioned in different areas of the flood barrier. Based on the geometric center of each electromagnetic drive unit and the area of ​​the barrier it primarily presses against, a distribution mapping relationship is established between each electromagnetic drive unit and its corresponding area on the flood barrier. This mapping relationship clarifies which specific area of ​​the barrier each electromagnetic drive unit is responsible for pressing, forming the fundamental data structure for zoned control. Pressure sensors are pre-embedded in key areas along the mating surfaces of the barrier and frame. The sensor density is determined based on the barrier size and accuracy requirements. A typical approach involves placing a main pressure sensor at the center of the area corresponding to each electromagnetic drive unit, with auxiliary sensors at the area boundaries to monitor edge pressure.

[0089] The control unit polls all pressure sensors at fixed intervals to read real-time pressure data for each region. Due to potential noise in the sensor outputs, the control unit filters the data from each sensor, typically using moving average filtering or median filtering, to obtain stable regional pressure values. After aggregating all regional pressure values, the control unit generates regional pressure distribution information, including the current pressure value for each region, the average pressure across all regions, the maximum pressure value and its region, the minimum pressure value and its region, and the variance or standard deviation of the pressure distribution. The control unit compares the current pressure distribution with a preset target pressure distribution to identify regions with insufficient pressure and regions with excessive pressure.

[0090] Based on the water-blocking sealing target, determine the target pressure value to be achieved for each area. Since different areas of the door panel may experience different water pressures, the target pressure can also be set to a non-uniform distribution, with the bottom area requiring higher pressure. Compare the actual pressure value of each area with the corresponding target pressure value. For areas where the actual pressure is lower than the target pressure, it is determined to be insufficient pressure, and the magnetic field strength of the corresponding electromagnetic drive unit is increased to enhance local suction. For areas where the actual pressure is significantly higher than the target pressure, the magnetic field strength of the corresponding unit is appropriately reduced to avoid over-compressing the seal or wasting energy. Calculate the pressure deviation value for each area: the deviation value equals the target pressure minus the actual pressure; a positive value indicates that pressure needs to be increased, and a negative value indicates that pressure can be decreased. The magnitude of the deviation value determines the adjustment range of the magnetic field strength.

[0091] Based on the distribution location mapping relationship, the pressure deviation value of each region is associated with the electromagnetic drive unit responsible for that region. For regions with positive deviation values, the corresponding unit needs to increase the current to improve the magnetic field strength and attraction; for regions with negative deviation values, the corresponding unit needs to decrease the current. After completing one round of adjustment, the control unit does not immediately stop, but reads the data from the pressure sensors of each region again to verify the adjustment effect. If the pressure in the region that was originally insufficient has increased to the target range, the current parameters are maintained; if it still does not meet the target, a second round of fine-tuning is performed; if over-adjustment causes abnormal pressure in other regions, reverse correction is performed. This continuous monitoring mechanism allows for remedial measures to be taken when the sealing performance begins to decline but before leakage occurs, or timely alarms to be triggered when the fault is irreversible, minimizing losses. If a certain electromagnetic unit fails, the control unit can perform local compensation by increasing the attraction of adjacent units to maintain the overall seal and avoid a single point of failure leading to global failure.

[0092] In summary, the intelligent control method for electromagnetically driven water-blocking gates provided in this application has the following technical effects: by deploying detection sensors on the inner side of the gate panel to collect environmental data in real time and feeding the data back to the control unit for water-blocking strength analysis, the adsorption force of the electromagnetic drive component is dynamically adjusted accordingly, so that the gate panel and the gate frame always maintain a stable and tight state, thereby improving the response speed of the water-blocking gate panel to changes in water level, and thus improving the sealing performance and waterproofing effect of the water-blocking gate panel.

[0093] Example 2: Based on the same inventive concept as the electromagnetically driven intelligent control method for a water-blocking gate in Example 1, this application also provides an electromagnetically driven intelligent control system for a water-blocking gate. Please refer to the appendix. Figure 2 The system includes: a water level sensing module 11, used to collect external water level information in real time through a water level sensor installed at a preset monitoring position in the station building, and synchronize it to the control unit to judge the water level based on the water level threshold; an execution triggering module 12, used to trigger a water-blocking gate driving command when the detected water level exceeds a preset warning water level, wherein the control unit sends an execution signal to the electromagnetic drive component, causing the electromagnetic drive component to generate electromagnetic attraction according to initial electromagnetic parameters to control the water-blocking gate to fasten to the door frame structure cover, forming an elastic sealing water-blocking structure; an environmental feedback module 13, used to monitor the environment inside the gate through a detection sensor installed inside the station building, and feed the environmental monitoring data back to the control unit, and analyze the water-blocking strength based on the environmental monitoring data to obtain electromagnetic control information; and a forward-looking control module 14, used to send an electromagnetic control signal to the electromagnetic drive component through the control unit according to the electromagnetic control information, drive and adjust the electromagnetic attraction force, so that the water-blocking gate and the door frame structure are stably pressed together, in order to maintain the water-blocking sealing target of the gate.

[0094] Furthermore, the electromagnetically driven intelligent control system for the water-blocking gate panel includes: the water-blocking gate panel includes: an outer waterproof panel; an inner reinforcing panel; a honeycomb support frame disposed between the outer waterproof panel and the inner reinforcing panel, used to reduce the weight of the gate panel while ensuring the overall rigidity of the gate panel; and an elastic sealing element disposed around the periphery of the water-blocking gate panel, used to generate elastic compression when the water-blocking gate panel is pressed against the door frame structure by the electromagnetic drive component, so as to form a water-blocking sealing structure.

[0095] Furthermore, the intelligent control system for the electromagnetically driven water-blocking gate also includes: when the monitored external water level is lower than the preset warning level, the control unit controls the electromagnetic drive component to cut off power, so that the water-blocking gate releases the electromagnetic locking state and returns to the open state.

[0096] Furthermore, the environmental feedback module 13 in the electromagnetically driven intelligent control system for the water-blocking gate is also used for: filtering the environmental monitoring data (including humidity monitoring data and water seepage detection signals) and identifying the sealing status by combining the sealing contact pressure information; determining the sealing compression amount based on the displacement information between the current water-blocking gate and the gate frame structure; and performing magnetic compensation analysis on the sealing compression amount based on the water-blocking sealing target of the gate and the sealing status identification result to obtain the sealing compensation compression amount and convert it into electromagnetic control information.

[0097] Furthermore, the environmental feedback module 13 in the electromagnetically driven intelligent control system for the water-blocking gate is also used for: establishing time-series data of water level monitoring, performing water level change trend analysis, and obtaining the water level change rate; performing dynamic resistance analysis based on the water level change rate to determine the corresponding water-blocking pressure requirement; using the magnetic circuit state and electromagnetic drive current as control magnetic variables, performing matching analysis on the control magnetic variables based on the water-blocking pressure requirement, determining the matching magnetic circuit reluctance and electromagnetic drive current, and generating the electromagnetic control information.

[0098] Furthermore, the environmental feedback module 13 in the electromagnetically driven intelligent control system for the water-blocking gate is also used to: identify the water level change stage based on the water level change rate; perform water-blocking pressure analysis based on the current water level height and the water level change rate of each water level change stage, calculate the static pressure generated by the water level height and the dynamic resistance pressure generated by the water level change rate, and determine the static pressure component and the dynamic correction pressure component; and perform superposition calculation based on the static pressure component and the dynamic correction pressure component to obtain the water-blocking pressure requirement.

[0099] Furthermore, the environmental feedback module 13 in the intelligent control system for the electromagnetically driven water-blocking gate is also used for: establishing a set of candidate magnetic circuit states for the electromagnetic drive component and determining the magnetic reluctance of each candidate magnetic circuit state; determining the target electromagnetic adsorption force according to the water-blocking pressure requirement, and calculating the electromagnetic drive current required to satisfy the target electromagnetic adsorption force under each candidate magnetic circuit state; screening each candidate magnetic circuit state according to the adjustment range and control accuracy of the electromagnetic drive current, and determining the matching magnetic circuit state among the candidate magnetic circuit states that meet the current constraint conditions, including the rated current constraint of the electromagnetic coil, the power supply output capability constraint, and the current change rate constraint; and refining the adjustment of the electromagnetic drive current under the matching magnetic circuit state to obtain the matching magnetic reluctance and electromagnetic drive current.

[0100] Furthermore, the environmental feedback module 13 in the electromagnetically driven intelligent control system for the water-blocking gate is also used for: analyzing and predicting the window period of water level exceeding the warning level based on the time series data of water level monitoring and related environmental data; analyzing the continuous water-blocking demand of the water-blocking gate based on the predicted duration of the exceeding warning window period and the trend of water level changes; performing time-series analysis on the driving capability of the electromagnetic drive component based on the continuous water-blocking demand, and determining the electromagnetic adsorption force maintenance strategy during the exceeding warning window period; and adjusting the magnetic circuit state and electromagnetic drive current in stages according to the electromagnetic adsorption force maintenance strategy to maintain the stable sealing state of the water-blocking gate throughout the entire exceeding warning window period, and generating corresponding electromagnetic control information.

[0101] Furthermore, the forward-looking control module 14 in the electromagnetically driven intelligent control system for the water-retaining gate is also used for: the electromagnetic drive assembly including multiple electromagnetic drive units disposed in different areas of the water-retaining gate, establishing a distribution position mapping relationship between each electromagnetic drive unit and the corresponding area of ​​the water-retaining gate; collecting pressure data of each area of ​​the gate through pressure sensors disposed in different areas of the water-retaining gate, and determining the regional pressure distribution information of the gate based on the pressure data; and adjusting the magnetic field strength of the corresponding electromagnetic drive unit according to the regional pressure distribution information and the distribution position mapping relationship, for the zoned electromagnetic control of the water-retaining gate.

[0102] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The electromagnetic force-driven intelligent control method and specific examples of the water-blocking gate in the foregoing embodiment one are also applicable to the electromagnetic force-driven intelligent control system of the water-blocking gate in this embodiment. Through the foregoing detailed description of the electromagnetic force-driven intelligent control method of the water-blocking gate, those skilled in the art can clearly understand the electromagnetic force-driven intelligent control system of the water-blocking gate in this embodiment. Therefore, for the sake of brevity, it will not be described in detail here.

[0103] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0104] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for intelligent control of an electromagnetically driven floodgate, characterized in that, An intelligent control method for electromagnetically driven floodgate panels is applied to intelligent floodgate panels, which include floodgate panels, door frame structures, electromagnetic drive components, sensor components, and control units, including: The water level sensor installed at a preset monitoring position in the station building collects the external water level information in real time, and synchronizes it to the control unit to judge the water level based on the water level threshold. When the detected water level exceeds the preset warning water level, the water-blocking gate plate driving command is triggered. The control unit sends an execution signal to the electromagnetic drive component, so that the electromagnetic drive component generates electromagnetic attraction according to the initial electromagnetic parameters to control the water-blocking gate plate to fasten to the door frame structure cover, forming an elastic sealing water-blocking structure. The environment inside the door panel is monitored by detection sensors installed inside the station building, and the environmental monitoring data is fed back to the control unit. Based on the environmental monitoring data, the water-blocking strength is analyzed to obtain electromagnetic control information. According to the electromagnetic control information, the control unit sends an electromagnetic control signal to the electromagnetic drive component to drive and adjust the electromagnetic adsorption force, so as to maintain a stable pressing state between the water-blocking gate panel and the door frame structure, thereby maintaining the water-blocking and sealing target of the gate panel. The water-blocking gate panel includes: External waterproof panel; Inner reinforced panel; A honeycomb support frame is placed between the outer waterproof panel and the inner reinforcing panel to reduce the weight of the door panel while ensuring the overall rigidity of the door panel. An elastic seal is arranged around the perimeter of the water-blocking gate plate to generate elastic compression when the water-blocking gate plate is pressed against the gate frame structure by the electromagnetic drive assembly, so as to form a water-blocking sealing structure. Among these, electromagnetic control information is obtained by analyzing the water-blocking strength based on environmental monitoring data, including: The environmental monitoring data includes humidity monitoring data and water seepage detection signals. The environmental monitoring data is filtered and combined with sealing contact pressure information to identify the sealing status. Determine the sealing compression amount based on the displacement information between the current water-retaining gate panel and the gate frame structure; Based on the door panel water-blocking and sealing target, the sealing compression amount is analyzed by magnetic attraction compensation according to the sealing state identification result to obtain the sealing compensation compression amount, which is then converted into electromagnetic control information. Establish time series data for water level monitoring, conduct water level change trend analysis, and obtain the rate of water level change; Dynamic resistance analysis is performed based on the rate of water level change to determine the corresponding water-blocking pressure requirement. Using the magnetic circuit state and electromagnetic drive current as the control magnetic variables, the control magnetic variables are matched and analyzed according to the water pressure requirement to determine the matching magnetic circuit reluctance and electromagnetic drive current, and the electromagnetic control information is generated.

2. The intelligent control method for an electromagnetically driven water-blocking gate according to claim 1, characterized in that, The method further includes: When the monitored external water level is lower than the preset warning level, the control unit controls the electromagnetic drive component to cut off the power, so that the water gate is released from the electromagnetic locking state and returns to the open state.

3. The intelligent control method for an electromagnetically driven water-blocking gate according to claim 1, characterized in that, Dynamic resistance analysis is performed based on the rate of water level change to determine the corresponding water-blocking pressure requirements, including: Identify the stages of water level change based on the rate of water level change; Based on the current water level and the rate of water level change at each stage, the water-blocking pressure is analyzed. The static pressure generated by the water level and the dynamic resistance pressure generated by the rate of water level change are calculated respectively, and the static pressure component and the dynamic correction pressure component are determined. The water-blocking pressure requirement is obtained by superimposing the static pressure component and the dynamic correction pressure component.

4. The intelligent control method for an electromagnetically driven water-blocking gate according to claim 1, characterized in that, Using the magnetic circuit state and electromagnetic drive current as the regulating magnetic variables, the regulating magnetic variables are matched and analyzed according to the water pressure demand to determine the matching magnetic circuit reluctance and electromagnetic drive current, including: Establish a set of candidate magnetic circuit states for the electromagnetic drive component and determine the magnetic reluctance of each candidate magnetic circuit state. The target electromagnetic adsorption force is determined based on the water-blocking pressure requirement, and the electromagnetic drive current required to satisfy the target electromagnetic adsorption force is calculated for each candidate magnetic circuit state. The candidate magnetic circuit states are screened according to the adjustment range and control accuracy of the electromagnetic drive current. The matching magnetic circuit state is determined from the candidate magnetic circuit states that meet the current constraint conditions. The current constraint conditions include the rated current constraint of the electromagnetic coil, the power supply output capability constraint, and the current change rate constraint. Based on the matched magnetic circuit state, the electromagnetic drive current is finely adjusted under the matched magnetic circuit state to obtain the matched magnetic circuit reluctance and the electromagnetic drive current.

5. The intelligent control method for an electromagnetically driven water-blocking gate according to claim 1, characterized in that, The acquisition of electromagnetic control information also includes: Based on time series data of water level monitoring and related environmental data, we will conduct window period analysis and prediction for water levels exceeding the warning level. The continuous water-blocking demand of the floodgate is analyzed based on the predicted duration of the over-warning window and the trend of water level changes. Based on the continuous water blocking demand, the driving capability of the electromagnetic drive component is analyzed in a time series to determine the electromagnetic adsorption force maintenance strategy during the over-warning window period. The electromagnetic circuit state and electromagnetic drive current are adjusted in stages according to the electromagnetic adsorption force maintenance strategy to maintain the stable sealing state of the water-blocking gate during the entire over-alert window period, and corresponding electromagnetic control information is generated.

6. The intelligent control method for an electromagnetically driven water-blocking gate according to claim 1, characterized in that, The method further includes: The electromagnetic drive assembly includes multiple electromagnetic drive units disposed in different areas of the water-blocking gate, and establishes a distribution position mapping relationship between each electromagnetic drive unit and the corresponding area of ​​the water-blocking gate. Pressure data of each area of ​​the gate is collected by pressure sensors installed in different areas of the gate, and the regional pressure distribution information of the gate is determined based on the pressure data. The control unit adjusts the magnetic field strength of the corresponding electromagnetic drive unit according to the regional pressure distribution information and the distribution location mapping relationship, for the zoned electromagnetic control of the water-blocking gate.

7. An intelligent control system for a water-blocking gate driven by electromagnetic force, characterized in that, The steps for implementing the electromagnetic force-driven intelligent control method for a water-blocking gate according to any one of claims 1 to 6, wherein the electromagnetic force-driven intelligent control system for the water-blocking gate includes: The water level sensing module is used to collect information on the height of external water accumulation in real time through water level sensors set at preset monitoring positions in the station building, and synchronize the information to the control unit to judge the water level based on the water level threshold. The execution trigger module is used to trigger the water-blocking gate plate driving command when the detected water level exceeds the preset warning water level. The control unit sends an execution signal to the electromagnetic drive component, so that the electromagnetic drive component generates electromagnetic attraction according to the initial electromagnetic parameters to control the water-blocking gate plate to fasten to the door frame structure cover, forming an elastic sealing water-blocking structure. The environmental feedback module is used to monitor the environment inside the door panel through detection sensors installed inside the station building, and feed the environmental monitoring data back to the control unit. Based on the environmental monitoring data, the water-blocking strength is analyzed to obtain electromagnetic control information. The forward-looking control module is used to send electromagnetic control signals to the electromagnetic drive component through the control unit according to the electromagnetic control information, drive and adjust the electromagnetic adsorption force to make the water-blocking gate panel and the door frame structure stably pressed together, so as to maintain the water-blocking and sealing target of the gate panel.

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