A method for monitoring the sealing state of a floodgate

Abstract

The application discloses a kind of anti-flood door sealing state monitoring methods, it is related to industrial protective equipment technical field, the stress relaxation physical characteristics of the present application using macromolecular material, by analyzing the force value decay curve of keeping stage after locking, the health status of sealing assembly, fracture failure and material hardening failure can be accurately distinguished, and the false sealing risk caused by aging or fracture of rubber strip is eliminated.And it can also dynamically adjust the judgment standard according to the ambient temperature, avoid false alarm in low temperature, and can automatically drive the motor micro stepping through the closed loop pressure compensation step when detecting insufficient trace pressure, maintain the best sealing specific pressure.Simultaneously through variable frequency sampling and self-learning model updating strategy, both the sensitivity of transient characteristic capture is guaranteed, and the detection error caused by individual difference is eliminated, which greatly improves the intelligent level and safety protection level of industrial anti-flood door.

Description

Technical Field

[0001] This invention belongs to the field of industrial protective equipment technology, and specifically relates to a method for monitoring the sealing status of floodproof doors. Background Technology

[0002] Large industrial flood-proof protective sealing doors typically consist of a heavy metal door leaf, a motor-driven mechanical locking mechanism, and polymer rubber sealing components installed on the door body or frame. In a standard workflow, the control terminal issues a command, driving the motor to move the locking mechanism, pushing the door leaf against the frame, thereby compressing the rubber sealing strip. The elastic deformation of the sealing strip under pressure fills the tiny gaps between the door leaf and the frame, thus preventing water seepage. Although existing flood-proof door control technologies have achieved electrification and basic data acquisition, in most existing solutions, the system determines that the door is effectively locked as long as the motor pushes the door to the limit switch or the force sensor reading reaches a preset peak value. However, rubber sealing materials have complex viscoelasticity and will age, harden, or permanently deform over time. Existing technology struggles to distinguish between normal elastic compression force and aged hard contact force without adding additional detection equipment. If the sealing strip has hardened and lost its resilience, although the force sensor may read a large value, the interface has not actually formed an effective sealing contact surface, which can easily lead to serious safety accidents due to seal failure. Summary of the Invention

[0003] In view of the deficiencies in the prior art, the present invention provides a method for monitoring the sealing status of floodproof doors to solve the above-mentioned technical problems.

[0004] A method for monitoring the sealing status of a flood-proof door, applied to a door lock control system including a drive motor, a counter, a force sensor, and a control terminal, comprising the following steps: Step S1: Control the drive motor to drive the door lock hinge to move to the preset locking limit position; Step S2: After reaching the locking limit position, lock the current position of the drive motor and enter the stress relaxation monitoring stage; Step S3: During the stress relaxation monitoring phase, the real-time reaction force data of the lock head on the sealing component is collected by the force sensor at preset time intervals to construct the actual attenuation curve of the force over time. Step S4: Calculate the characteristic parameters of the actual decay curve and compare the characteristic parameters with the preset standard rubber relaxation model; the characteristic parameters include at least the force decay rate and the steady-state force value; Step S5: Determine the current state of the sealing assembly based on the comparison results and generate the corresponding seal integrity assessment results; the seal integrity assessment results include at least the seal intact state and the seal failure state.

[0005] Preferably, in step S4, the standard rubber relaxation model includes a preset normal decay rate range and a minimum sealing pressure threshold. In step S5, the determination logic is as follows: if the force attenuation rate of the actual attenuation curve is within the normal attenuation rate range, and the final steady-state force value at the end of the monitoring phase is higher than the minimum sealing pressure threshold, then it is determined to be in a good sealing state.

[0006] Preferably, the sealing failure state includes fracture failure and material hardening failure; If the decrease in the real-time reaction force data exceeds the preset fracture judgment threshold within the first set time period of the stress relaxation monitoring phase, it is determined to be a fracture failure. If, during the stress relaxation monitoring phase, the force attenuation rate is lower than the preset minimum attenuation threshold and the change in force over time is less than the preset tolerance range, then the sealing component is determined to have experienced material hardening failure.

[0007] Preferably, a temperature compensation step is also included, as shown below; Acquire current ambient temperature data and dynamically correct the standard rubber relaxation model based on the preset temperature-modulus characteristic curve of the sealing material; When the ambient temperature is lower than the preset temperature threshold, the minimum sealing pressure threshold required to determine that the seal is intact is increased.

[0008] Preferably, a closed-loop pressure compensation step is also included, as shown below: When the seal integrity assessment results show that the current steady-state force value is lower than the requirements of the standard rubber relaxation model, but the force decay rate meets the preset normal characteristics, calculate the additional compression required to reach the standard force value; Control the drive motor to advance in microsteps to provide the additional compression, and repeat steps S3 to S5.

[0009] Preferably, the output strategy of the control terminal is as follows: If the seal is determined to be intact after the closed-loop pressure compensation step, a status signal indicating successful automatic compensation and the current sealing pressure value will be output. If the seal is still deemed to have failed after the maximum permissible travel time has been exceeded, an alarm signal will be triggered, and the drive motor will be locked to prevent further feeding.

[0010] Preferably, the preset time interval in step S3 adopts a frequency conversion sampling strategy: During the initial set time period at the beginning of the stress relaxation monitoring phase, a first sampling frequency is used to capture transient relaxation characteristics; During the subsequent second set time period, a second sampling frequency was used to monitor the steady-state force value; Wherein, the first sampling frequency is greater than the second sampling frequency, and the first set time period corresponds to the high elasticity response period of the sealing component material.

[0011] As a preferred method, a full life-cycle health record is established using counter data; Each time a locking operation is performed, the relationship between the current characteristic parameters and the cumulative number of times the door lock has been opened and closed is recorded to form a trend curve; When the rate of change of the characteristic parameter with the cumulative number of switching operations exceeds a preset trend threshold, a maintenance signal is generated.

[0012] Preferably, a reference zero-point calibration step is included before step S1, as shown below: During the idle stroke phase before the drive motor drives the lock head to contact the sealing assembly, the output value of the force sensor is collected as the background noise value. In step S3, the background noise value is subtracted from the collected real-time reaction force data to obtain the corrected force data.

[0013] Preferably, the standard rubber relaxation model is updated through a self-learning method: Obtain the locking data for the first N times the sealing component was determined to be in good sealing condition after installation; After removing the maximum and minimum values ​​from the data, the average decay curve is calculated, and this average decay curve is used as the initial standard rubber relaxation model for the sealing assembly.

[0014] The beneficial effects of this invention are as follows: Utilizing the stress relaxation physical properties of polymer materials, this invention analyzes the force decay curve during the holding phase after locking to accurately distinguish the health status, fracture failure, and material hardening failure of the sealing component, eliminating the risk of false seals caused by aging or breakage of the sealing strip. Furthermore, it can dynamically adjust the judgment criteria according to the ambient temperature to avoid false alarms at low temperatures. When a slight pressure deficiency is detected, it can automatically drive the motor for micro-step feeding through a closed-loop pressure replenishment step to maintain the optimal sealing pressure. Simultaneously, through frequency conversion sampling and a self-learning model update strategy, it ensures the sensitivity of transient feature capture while eliminating detection errors caused by individual differences, significantly improving the intelligence level and safety protection level of industrial floodgates. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of 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 only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 The present invention provides a flowchart of the steps for monitoring the sealing status of a floodproof door. Detailed Implementation

[0017] The following disclosure provides many different embodiments or examples for implementing various embodiments of the invention. To simplify the disclosure, specific embodiments are described below. Of course, these are merely examples and are not intended to limit the scope of the invention.

[0018] The embodiments of the invention will now be described in detail with reference to the accompanying drawings.

[0019] like Figure 1 As shown, a method for monitoring the sealing status of a flood-proof door is applied to a door lock control system including a drive motor, a counter, a force sensor, and a control terminal, and includes the following steps: Step S1: Control the drive motor to drive the door lock hinge to move to the preset locking limit position; Step S2: After reaching the locking limit position, lock the current position of the drive motor and enter the stress relaxation monitoring stage; Step S3: During the stress relaxation monitoring phase, the real-time reaction force data of the lock head on the sealing component is collected by the force sensor at preset time intervals to construct the actual attenuation curve of the force over time. Step S4: Calculate the characteristic parameters of the actual decay curve and compare the characteristic parameters with the preset standard rubber relaxation model; the characteristic parameters include at least the force decay rate and the steady-state force value; Step S5: Determine the current state of the sealing assembly based on the comparison results and generate the corresponding seal integrity assessment results; the seal integrity assessment results include at least the seal intact state and the seal failure state.

[0020] This invention is based on the viscoelastic physical principle of polymer sealing materials, namely, that after a constant deformation, the polymer chain segments inside rubber-like materials rearrange, leading to stress relaxation, where the internal stress decreases exponentially over time according to a specific law. In one implementation, an analytical method based on a theoretical model is used: the standard rubber relaxation model preset in the control terminal is a simplified mathematical expression of the generalized Maxwell model. ,in for Force value at any moment For the final steady-state sealing force, This represents the transient relaxation force amplitude. The relaxation time constant is defined as follows: After the drive motor pushes the door lock hinge to the locked limit position and locks the rotor, force sensor data is collected at a frequency of 100Hz during the subsequent stress relaxation monitoring phase. The collected actual attenuation curve is then fitted to the above mathematical formula using the least squares method. At this point, the "force attenuation rate" is defined as the monitoring start time. to The first derivative of the force with respect to time The average value, if the time constant obtained by fitting If the value is significantly lower than the standard value, it is determined that the sealing strip is broken or has undergone plastic yielding; if If the value approaches infinity, it is determined to be a material hardening failure. In another implementation, a lookup table comparison method based on discrete data is used. This model is based on the envelope data, including the upper and lower boundary curves, measured during the factory calibration phase of this type of floodgate under standard temperature through standard locking actions. During operation, the real-time collected point set is mapped to this envelope for judgment. The force decay rate is a key characteristic parameter characterizing the viscoelastic response speed of the sealing material. Generally, a differential fitting method is used, that is, after smoothing and filtering the collected discrete force value sequence, the tangent slope of the real-time force curve at a specific moment is calculated, such as... The first derivative over time. This value reflects the instantaneous relaxation rate of the material at that moment, and can more sensitively reflect the response capability of the material's internal microstructure. By introducing dynamic mechanical characteristic analysis in the time dimension, it is possible not only to effectively distinguish between rigid obstacles stuck with high force values ​​exhibiting no relaxation characteristics and effective flexible seals exhibiting relaxation characteristics consistent with the model, but also to accurately identify the aging, hardening, and breakage risks of the sealing strip without increasing hardware costs, thereby avoiding flood prevention failure caused by false locking.

[0021] More specifically, in step S4, the standard rubber relaxation model includes a preset normal decay rate range and a minimum sealing pressure threshold. In step S5, the determination logic is as follows: if the force attenuation rate of the actual attenuation curve is within the normal attenuation rate range, and the final steady-state force value at the end of the monitoring phase is higher than the minimum sealing pressure threshold, then it is determined to be in a good sealing state.

[0022] In practical implementation, after the drive motor reaches the locking position and locks, a high-frequency force sampling program is immediately started. The force attenuation rate is calculated by extracting the tangent slope of the real-time force curve in the initial relaxation stage, and the residual force value in the relaxation equilibrium state is extracted as the steady-state force value. This judgment logic is based on the viscoelastic properties of polymer rubber materials and the stress relaxation principle. That is, under constant strain, the rearrangement of polymer chain segments in a healthy seal will cause the stress to decrease exponentially according to a specific law. Only when the attenuation rate is within the preset range that characterizes the material's elastic modulus and the final residual stress is higher than the minimum contact pressure threshold required to resist hydrostatic pressure, is the sealing structure judged to have both structural integrity and material activity. Compared with existing technologies that rely solely on limit switches or a single force threshold, this solution effectively solves the problem of false locking caused by the aging and hardening of the seal by introducing dynamic feature analysis in the time dimension. That is, it identifies the hidden danger that although the hardened material can generate high reaction force, it loses its flexible deformation ability and cannot effectively stop water, thereby significantly improving the safety and false alarm recognition rate under long-term static conditions.

[0023] More specifically, the sealing failure states include fracture failure and material hardening failure; If the decrease in the real-time reaction force data exceeds the preset fracture judgment threshold within the first set time period of the stress relaxation monitoring phase, it is determined to be a fracture failure. If, during the stress relaxation monitoring phase, the force attenuation rate is lower than the preset minimum attenuation threshold and the change in force over time is less than the preset tolerance range, then the sealing component is determined to have experienced material hardening failure.

[0024] In the specific implementation process, the control terminal performs time-domain waveform analysis on the collected mechanical signals. On the one hand, it focuses on the transient response in the initial locking stage. Once a step-like drop in the reaction force is detected within a very short time and the amplitude exceeds the fracture judgment threshold, the integrity of the sealing structure is determined to be damaged. This principle is based on the discontinuous release of elastic potential energy at the moment of physical fracture. On the other hand, it calculates the force value decay slope over the entire cycle. If the force value curve shows an approximately linear zero decay or micro decay characteristic, it is determined to be a material hardening failure. This judgment utilizes the physical mechanism that after the aging of polymer materials, the crosslinking density increases, the movement of molecular chain segments is restricted, resulting in the disappearance of viscous rheological characteristics and the manifestation of near-rigid body force characteristics. The judgment logic of material hardening failure is based on the viscoelastic theory in polymer physics: fresh rubber seals possess both viscosity and elasticity. When compressed to a fixed position, the molecular chains undergo conformational adjustments to adapt to the new spatial morphology. Macroscopically, this manifests as a gradual release of internal stress resisting external forces, resulting in a clear, exponentially decreasing force sensor reading. When the sealing material hardens due to long-term oxidation, UV exposure, or thermal aging, its internal molecular chains become excessively cross-linked, and the material properties transform from a highly elastic state to a glassy state, approximating a rigid object. At this point, the material loses its ability to undergo viscous flow. According to Hooke's Law, under constant deformation, the reaction force generated by a rigid body is constant. Therefore, if the monitored force curve is a horizontal straight line without a decreasing trend, this does not indicate stable sealing performance; rather, it proves that the sealing material has lost its ability to fill the microscopic contact surface gaps through stress relaxation, indicating severe hardening failure. Compared to existing static testing methods that only verify the final locking force value, this solution effectively solves the technical problems of aging and hardened seals having high rigidity and creating the illusion of qualified locking force, as well as the difficulty in detecting micro-cracks under static pressure. By distinguishing between two distinct failure modes, physical damage and chemical aging, it significantly improves the accuracy of identifying hidden faults.

[0025] More specifically, it also includes a temperature compensation step, as shown below; Acquire current ambient temperature data and dynamically correct the standard rubber relaxation model based on the preset temperature-modulus characteristic curve of the sealing material; When the ambient temperature is lower than the preset temperature threshold, the minimum sealing pressure threshold required to determine that the seal is intact is increased.

[0026] In the specific implementation process, ambient temperature data is first collected in real time by a temperature sensor integrated near the door frame or lock body. Then, the control algorithm retrieves the temperature-modulus characteristic curve of the sealing material pre-stored in memory. This curve, experimentally determined and digitized, reflects the changing trend of Young's modulus or shear modulus of a specific rubber material from low to high temperatures. Based on the corresponding value of the current temperature point on the curve, a dynamic correction coefficient is calculated. When the ambient temperature is below a preset threshold, due to the glass transition or low-temperature hardening effect of the rubber material, its hardness increases significantly, leading to a substantial increase in the reaction force required to generate the same contact area. This automatically raises the minimum steady-state force threshold required to determine a good seal.

[0027] The temperature-modulus characteristic curve of a sealing material refers to the standard physical property data obtained by testing the selected rubber sealing material using a dynamic thermomechanical analyzer during the R&D and calibration phase before the equipment leaves the factory. The curve's horizontal axis represents temperature, and the vertical axis represents storage modulus. The curve visually reflects the physical fact that as the temperature decreases, the movement of molecular chain segments is hindered, resulting in a macroscopic, non-linear increase in hardness. In the firmware of the control terminal, this curve is not necessarily stored graphically, but rather exists in the form of a piecewise linearized function or a multidimensional array. For example, the data table defines the hardness factor of the material relative to standard room temperature at key temperature nodes such as -20℃, 0℃, 25℃, and 40℃. When the real-time temperature is between two calibration nodes, a linear interpolation method is used to calculate the current modulus correction factor.

[0028] More specifically, it also includes a closed-loop pressure compensation step, as shown below: When the seal integrity assessment results show that the current steady-state force value is lower than the requirements of the standard rubber relaxation model, but the force decay rate meets the preset normal characteristics, calculate the additional compression required to reach the standard force value; Control the drive motor to advance in microsteps to provide the additional compression, and repeat steps S3 to S5.

[0029] In the specific implementation process, after the initial stress relaxation monitoring is completed, if the comparison results show that the current steady-state sealing force value is lower than the lower limit requirement of the standard model, but the force decay rate characteristic still strictly falls within the normal viscoelastic range, the control algorithm defines this state as a non-faulty undercompression state. At this time, compensation calculation based on global feature mapping is initiated: the controller calls the sealing material compression displacement-reaction force characteristic curve data pre-stored in the database, locates the current compression working point in the data model according to the current measured steady-state force value, and retrieves the required displacement difference between this working point and the target force value point, thereby determining the additional compression amount. The principle of this design is to use digital lookup table indexes to replace complex real-time analytical calculations. Given that rubber materials have nonlinear stiffening characteristics, it is not simply calculated according to a fixed ratio, but rather the required feed amount is accurately matched by indexing the local stiffness characteristics of the material at the current specific compression depth. Subsequently, the drive motor executes this stroke in a micro-step feeding manner and immediately triggers a new round of stress relaxation monitoring cycle to verify the pressure compensation effect. Compared to existing technologies, the beneficial effect of this solution is that it endows the floodgate with the ability to self-heal the risk of minor leakage. It can automatically eliminate insufficient sealing pressure caused by installation tolerances or initial settlement without manual intervention, and effectively avoids the risk of damage to components due to blind over-compression.

[0030] More specifically, the output strategy of the control terminal is as follows: If the seal is determined to be intact after the closed-loop pressure compensation step, a status signal indicating successful automatic compensation and the current sealing pressure value will be output. If the seal is still deemed to have failed after the maximum permissible travel time has been exceeded, an alarm signal will be triggered, and the drive motor will be locked to prevent further feeding.

[0031] In practical implementation, once the closed-loop pressure compensation action successfully corrects the insufficient sealing pressure, the control terminal not only updates the current sealing pressure value displayed on the interface in real time, but also generates a unique automatic compensation success status code, distinct from the normal locking signal. This code visually demonstrates to maintenance personnel that although the door is currently in a sealed state, it is a compliant state after automatic correction, implying that the equipment may have slight mechanical wear or installation settlement. Conversely, if the cumulative feed of the motor has reached the maximum physical stroke or torque limit allowed by the mechanical structure, and the monitoring result still indicates a sealing failure, the condition is immediately determined to be an irreversible structural fault. An audible and visual alarm signal is then triggered, and the motor drive circuit is forcibly cut off or the electronic brake is activated to lock the current position. The principle behind this design is that when physical compensation methods are confirmed to be ineffective, high-risk mechanical overload output must be immediately stopped to prevent secondary damage such as gearbox gear breakage, transmission pin shearing, or motor coil overheating and burning out due to the control algorithm blindly pursuing the required force value. Compared to the simple "operation / fault" binary display mode in existing technologies, this solution provides intermediate information with in-depth diagnostic value, enabling maintenance personnel to clearly distinguish between automatic correction caused by minor environmental changes and irreparable damage caused by structural damage. This significantly reduces the amount of ineffective on-site troubleshooting and fundamentally eliminates the risk of equipment damage due to overload.

[0032] More specifically, the preset time interval in step S3 adopts a frequency conversion sampling strategy: During the initial set time period at the beginning of the stress relaxation monitoring phase, a first sampling frequency is used to capture transient relaxation characteristics; During the subsequent second set time period, a second sampling frequency was used to monitor the steady-state force value; Wherein, the first sampling frequency is greater than the second sampling frequency, and the first set time period corresponds to the high elasticity response period of the sealing component material.

[0033] In practical implementation, the locking moment is taken as the zero point. A high-speed sampling mode is initiated during the initial window of stress relaxation, densely recording the sharp drop trajectory of the force value at millisecond resolution. This ensures the complete preservation of transient characteristic data reflecting the material's resilience. Once the force value change slows down and enters a steady-state plateau, the system automatically switches to a low-frequency inspection mode, significantly reducing data throughput. This design follows the principle of matching the signal change rate with the sampling density. Specifically, at the moment the sealing strip is compressed, its internal polymer chains undergo violent rearrangement, causing the force value to decay exponentially. High-frequency sampling is necessary to prevent the loss of crucial attenuation curvature characteristics. In the later steady-state stage, the force value tends towards a DC component, and low-frequency sampling is sufficient for monitoring. Compared to the dilemma faced by existing technologies using single-frequency sampling—either missing crucial instantaneous characteristics at low frequencies or causing processor overload and memory overflow at high frequencies—this solution maximizes detection accuracy with minimal hardware resource overhead. It ensures both the ability to sensitively detect early breakage of the sealing strip and significantly reduces the data processing and transmission load on the control terminal during long-term monitoring.

[0034] More specifically, use counter data to establish a full life cycle health record; Each time a locking operation is performed, the relationship between the current characteristic parameters and the cumulative number of times the door lock has been opened and closed is recorded to form a trend curve; When the rate of change of the characteristic parameter with the cumulative number of switching operations exceeds a preset trend threshold, a maintenance signal is generated.

[0035] In the specific implementation process, the control terminal establishes a coordinate system in a local or cloud database, with the cumulative number of switching operations as the horizontal axis and the steady-state force value or relaxation characteristic parameter as the vertical axis. Each time a locking cycle is completed, a new state point is plotted in the coordinate system using an interpolation algorithm. A sliding window analysis algorithm runs in the background, calculating the first derivative of the performance curve in real time and comparing it with a preset trend threshold. Here, the trend threshold is specifically defined as an inflection point indicator characterizing the transition of sealing performance from the linear stable wear period to the nonlinear accelerated fatigue period. For example, when the deviation rate of the force attenuation of the three most recent consecutive locking operations relative to the historical sliding average of the previous one hundred operations suddenly exceeds 10%, it is determined that micro-crack propagation or molecular chain breakage may have occurred inside the material, thus issuing an early warning before physical failure fully manifests. The principle behind this design is based on the fatigue damage accumulation theory of polymer materials, namely, that rubber materials will inevitably exhibit early warning signals such as a sharp decrease in stiffness or abnormal fluctuations in relaxation characteristics before complete failure. Compared to the extensive maintenance strategy of blindly replacing components based on fixed years or fixed number of times in existing technologies, this solution avoids the waste of resources caused by replacing components that have not yet aged, and also eliminates the safety hazards of operating with defects due to premature component aging.

[0036] More specifically, prior to step S1, a reference zero-point calibration step is also included, as detailed below: During the idle stroke phase before the drive motor drives the lock head to contact the sealing assembly, the output value of the force sensor is collected as the background noise value. In step S3, the background noise value is subtracted from the collected real-time reaction force data to obtain the corrected force data.

[0037] In the specific implementation process, the displacement range from the start of the drive motor to the actual contact of the lock head with the sealing component is defined as the idle stroke stage. During this period, the control terminal continuously collects the raw signal output of the force sensor and extracts the average bias value of this stage as the background noise value through a mean filtering algorithm. This value objectively reflects the zero-point drift of the sensor at the current ambient temperature, the self-weight component of the mechanical linkage, and the no-load frictional resistance of the transmission chain. When proceeding to the subsequent step S3 for data processing, the algorithm subtracts this background noise value from the real-time collected absolute force value to obtain the corrected net force value that only characterizes the reaction force of the sealing material. The principle behind this design is to suppress common-mode interference by applying the differential measurement principle. Given that resistance strain gauge sensors are highly susceptible to zero-point temperature drift due to ambient temperature, and that the mechanical structure will generate residual stress after long-term operation, capturing the current zero position in real time before each action can effectively isolate external variables. Compared to existing technologies that use factory-fixed zero-point calibration, which leads to a significant decrease in measurement accuracy due to large temperature differences or equipment aging, the beneficial effect of this solution is that it greatly improves the signal-to-noise ratio and resolution in the range of minute stress changes, ensuring that the subsequent capture of stress relaxation curve characteristics is based entirely on the physical response of the material itself, rather than the error fluctuations of the sensor.

[0038] More specifically, the standard rubber relaxation model is updated through a self-learning mechanism: Obtain the locking data for the first N times the sealing component was determined to be in good sealing condition after installation; After removing the maximum and minimum values ​​from the data, the average decay curve is calculated, and this average decay curve is used as the initial standard rubber relaxation model for the sealing assembly.

[0039] This embodiment employs a statistical initialization strategy based on on-site measured data to construct a dedicated monitoring benchmark with individual equipment characteristics. In practice, after installation and commissioning and initial operation, the first N locking cycles deemed to have correct mechanical actions and intact seals are recorded. Using a discrete point removal algorithm, the maximum and minimum deviation curves caused by transient electromagnetic interference or accidental mechanical vibrations are automatically removed from these N data sequences. The remaining valid sample data are then arithmetically averaged to fit a smooth stress attenuation characteristic curve as the initial standard model for this specific equipment. The principle behind this design is to utilize the law of large numbers and statistical filtering to eliminate random errors, while acknowledging and solidifying the objective physical characteristic differences of each sealing component due to variations in manufacturing batches, installation flatness, and ambient temperature. Compared to existing technologies that rely solely on general theoretical models measured under ideal laboratory conditions, leading to frequent false alarms or missed alarms due to installation tolerances or material batch fluctuations, this solution ensures that the monitoring benchmark fully matches the current actual working conditions, significantly improving the accuracy and robustness of identifying real faults.

[0040] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

Claims

1. A method for monitoring the sealing status of a floodproof door, characterized in that, This method is applied to a door lock control system that includes a drive motor, a counter, a force sensor, and a control terminal, and includes the following steps: Step S1: Control the drive motor to drive the door lock hinge to move to the preset locking limit position; Step S2: After reaching the locking limit position, lock the current position of the drive motor and enter the stress relaxation monitoring stage; Step S3: During the stress relaxation monitoring phase, the real-time reaction force data of the lock head on the sealing component is collected by the force sensor at preset time intervals to construct the actual attenuation curve of the force over time. Step S4: Calculate the characteristic parameters of the actual decay curve and compare the characteristic parameters with the preset standard rubber relaxation model; the characteristic parameters include at least the force decay rate and the steady-state force value; Step S5: Determine the current state of the sealing assembly based on the comparison results and generate the corresponding seal integrity assessment results; the seal integrity assessment results include at least the seal intact state and the seal failure state.

2. The method for monitoring the sealing status of a floodproof door according to claim 1, characterized in that, In step S4, the standard rubber relaxation model includes a preset normal decay rate range and a minimum sealing pressure threshold; In step S5, the determination logic is as follows: if the force attenuation rate of the actual attenuation curve is within the normal attenuation rate range, and the final steady-state force value at the end of the monitoring phase is higher than the minimum sealing pressure threshold, then it is determined to be in a good sealing state.

3. The method for monitoring the sealing status of a floodproof door according to claim 2, characterized in that, The sealing failure states include fracture failure and material hardening failure; If the decrease in the real-time reaction force data exceeds the preset fracture judgment threshold within the first set time period of the stress relaxation monitoring phase, it is determined to be a fracture failure. If, during the stress relaxation monitoring phase, the force attenuation rate is lower than the preset minimum attenuation threshold and the change in force over time is less than the preset tolerance range, then the sealing component is determined to have experienced material hardening failure.

4. The method for monitoring the sealing status of a floodproof door according to claim 1, characterized in that, It also includes a temperature compensation step, as detailed below; Acquire current ambient temperature data and dynamically correct the standard rubber relaxation model based on the preset temperature-modulus characteristic curve of the sealing material; When the ambient temperature is lower than the preset temperature threshold, the minimum sealing pressure threshold required to determine that the seal is intact is increased.

5. The method for monitoring the sealing status of a floodproof door according to claim 1, characterized in that, It also includes a closed-loop pressure compensation step, as detailed below: When the seal integrity assessment results show that the current steady-state force value is lower than the requirements of the standard rubber relaxation model, but the force decay rate meets the preset normal characteristics, calculate the additional compression required to reach the standard force value; Control the drive motor to advance in microsteps to provide the additional compression, and repeat steps S3 to S5.

6. The method for monitoring the sealing status of a floodproof door according to claim 5, characterized in that, The output strategy of the control terminal is as follows: If the seal is determined to be intact after the closed-loop pressure compensation step, a status signal indicating successful automatic compensation and the current sealing pressure value will be output. If the seal is still deemed to have failed after the maximum permissible travel time has been exceeded, an alarm signal will be triggered, and the drive motor will be locked to prevent further feeding.

7. The method for monitoring the sealing status of a floodproof door according to claim 1, characterized in that, The preset time interval in step S3 adopts a frequency conversion sampling strategy: During the initial set time period at the beginning of the stress relaxation monitoring phase, a first sampling frequency is used to capture transient relaxation characteristics; During the subsequent second set time period, a second sampling frequency was used to monitor the steady-state force value; Wherein, the first sampling frequency is greater than the second sampling frequency, and the first set time period corresponds to the high elasticity response period of the sealing component material.

8. The method for monitoring the sealing status of a floodproof door according to claim 1, characterized in that, Establish a full life-cycle health record using counter data; Each time a locking operation is performed, the relationship between the current characteristic parameters and the cumulative number of times the door lock has been opened and closed is recorded to form a trend curve; When the rate of change of the characteristic parameter with the cumulative number of switching operations exceeds a preset trend threshold, a maintenance signal is generated.

9. The method for monitoring the sealing status of a floodproof door according to claim 1, characterized in that, Before step S1, a reference zero-point calibration step is also included, as detailed below: During the idle stroke phase before the drive motor drives the lock head to contact the sealing assembly, the output value of the force sensor is collected as the background noise value. In step S3, the background noise value is subtracted from the collected real-time reaction force data to obtain the corrected force data.

10. The method for monitoring the sealing status of a floodproof door according to claim 1, characterized in that, The standard rubber relaxation model is updated through a self-learning mechanism: Obtain the locking data for the first N times the sealing component was determined to be in good sealing condition after installation; After removing the maximum and minimum values ​​from the data, the average decay curve is calculated, and this average decay curve is used as the initial standard rubber relaxation model for the sealing assembly.

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