Liquid level remote alarm system based on Internet of Things and liquid level meter thereof

Abstract

The invention belongs to the technical field of liquid level meters, and relates to a liquid level remote alarm system based on the internet of things and a liquid level meter thereof, and the liquid level remote alarm system comprises a liquid level detection module, a magnetic field interference compensation module, a turning plate stagnation detection module, a dynamic compensation module and a remote alarm module. Based on axial magnetic field gradient changes and radial magnetic field steady state characteristics, interference components are stripped, high-precision liquid level data are reconstructed, overturning action time sequence characteristics and mechanical vibration spectrum characteristics are fused to dynamically recognize the clamping stagnation state, liquid level deviation caused by magnetic field interference and mechanical clamping stagnation is cooperatively corrected, and multi-stage early warning of liquid level abnormity is achieved. The limitation of static shielding and manual maintenance in the prior art is broken through, the anti-interference capability and data reliability of liquid level signals under complex working conditions are remarkably improved, and a more accurate and stable liquid level monitoring solution is provided for industrial process control.

Description

Technical Field

[0001] The present invention belongs to the technical field of liquid level gauges, and relates to a remote liquid level warning system based on the Internet of Things and its liquid level gauge. Background Art

[0002] Magnetic flap liquid level gauges are based on the principle of magnetic coupling and are widely used in the liquid level monitoring of equipment such as storage tanks and reactors due to their advantages of corrosion resistance, high temperature resistance, and local visualization. In traditional applications, they rely on local mechanical displays, which have limitations such as low efficiency of manual inspection, high safety risks, insufficient data real-time performance, and lack of remote collaboration capabilities, making it difficult to meet the requirements of modern safety supervision and intelligent operation and maintenance. To achieve real-time risk warning and efficient management, it is urgent to integrate remote data transmission functions to improve the effectiveness of safety prevention and control and intelligent operation and maintenance.

[0003] In the prior art, there are also some solutions related to remote liquid level detection of magnetic flap liquid level gauges. For example, a magnetic flap liquid level gauge for intelligently remotely detecting water information with the Chinese patent publication number CN216815680U has a dehumidification mechanism on the back of the liquid level gauge body, and a scale instrument is fixedly arranged on the front inner wall. The dehumidification mechanism sucks the fog-containing air inside the body into the dehumidification cylinder through a connecting pipe, and after the water vapor is adsorbed by the activated carbon plate, the dry air is discharged by a suction fan. At the same time, external air is introduced into the air inlet pipe to react with the heating block to release heat, realizing the functions of internal dehumidification and temperature adjustment of the body, effectively solving the problem of internal fogging in cold weather and ensuring the clarity of liquid level observation.

[0004] Another magnetic flap liquid level gauge with the Chinese patent publication number CN221976234U includes a main body pipe and a flap liquid level gauge body at the front. The main body pipe is provided with a liquid inlet and outlet pipe and a liquid outlet pipe with a control valve at the bottom. A transmitter is arranged on one side of the liquid level gauge body, which can display liquid level data in real time and remotely transmit it to the control center through the transmitter, realizing the integration of local display and remote transmission of liquid level data.

[0005] Although the above two solutions propose some solutions for remote liquid level detection of magnetic flap liquid level gauges, there are still certain limitations: 1. The prior art has not effectively solved the problem of interference of the environmental magnetic field on the movement trajectory of the magnetic float under complex working conditions. It only relies on hardware shielding or local magnetic field compensation, lacking the ability of multi-dimensional magnetic field dynamic monitoring and real-time interference elimination, which leads to drift or distortion of liquid level signal acquisition, and the liquid level detection accuracy also decreases accordingly.

[0006] 2. The flap mechanical components of the magnetic flap liquid level gauge are prone to jamming due to medium crystallization, wear, or foreign object intrusion during long-term operation. The prior art lacks an intelligent recognition and compensation mechanism for the jammed state, and only alleviates the problem through regular manual maintenance or redundant hardware mechanical design, and cannot correct the liquid level data error caused by jamming in real time. Summary of the Invention

[0007] In view of this, to solve the problems raised in the above-mentioned background technology, a liquid level remote warning system based on the Internet of Things and its liquid level gauge are proposed.

[0008] The object of the present invention can be achieved by the following technical solutions: In the first aspect of the present invention, a liquid level remote warning system based on the Internet of Things is provided, including: a liquid level detection module, a magnetic field interference compensation module, a flap jamming detection module, a dynamic compensation module, and a remote warning module.

[0009] The liquid level detection module is connected to the magnetic field interference compensation module, the magnetic field interference compensation module is connected to the flap jamming detection module, the flap jamming detection module is connected to the dynamic compensation module, and the dynamic compensation module is connected to the remote warning module.

[0010] The liquid level detection module triggers the flap flipping action through the magnetic float of the magnetic flap liquid level gauge as the liquid level rises and falls, and collects the liquid level signal in real time.

[0011] The magnetic field interference compensation module synchronously obtains the environmental magnetic field and the magnetic field associated with the movement of the float, separates the effective magnetic field component of the liquid level signal through the suppression processing of environmental magnetic field interference, and generates compensated liquid level height data in combination with the axial magnetic field change characteristics and the radial magnetic field stability characteristics.

[0012] The flap jamming detection module identifies the flap jamming state based on the combined analysis result of the actual response duration of the flap flipping action and the mechanical vibration signal collected by the vibration sensor.

[0013] The dynamic compensation module fuses the compensated liquid level height data and the flap jamming detection result, and outputs the corrected liquid level height data based on the jamming state weight distribution strategy.

[0014] The remote warning module triggers a hierarchical warning instruction according to the deviation degree of the corrected liquid level height data from the preset liquid level safety interval and the duration threshold, and sends it to the remote control terminal through the communication unit.

[0015] In the second aspect of the present invention, a liquid level gauge is provided, including the liquid level remote warning system described in the first aspect of the present invention, wherein each module of the liquid level remote warning system is implemented by the processor of the liquid level gauge executing the corresponding program.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) By synchronously analyzing the spatial distribution characteristics of the environmental magnetic field and the magnetic field associated with the float, and stripping the interference components based on the axial magnetic field gradient change and the radial magnetic field steady state characteristics, the present invention effectively extracts the float magnetic field under complex working conditions to assist in reconstructing high-precision liquid level data, significantly improving the anti-interference ability and compensation accuracy of the liquid level data, and breaking through the limitations of the existing static shielding.

[0017] (2) By integrating the timing characteristics of the flipping action and the dynamic characteristics of the mechanical vibration spectrum, the present invention effectively distinguishes normal mechanical wear from abnormal jamming, realizes real-time intelligent identification of the jamming state of the magnetic flap, and effectively improves the detection sensitivity and accuracy, providing a reliable basis for subsequent liquid level data correction.

[0018] (3) By collaboratively correcting the liquid level deviation caused by magnetic field interference and mechanical jamming, the present invention realizes multi-level early warning of abnormal liquid levels. At the same time, relying on the Internet of Things architecture, it realizes real-time perception of the equipment operation state and remote intelligent operation and maintenance, providing a more accurate and stable liquid level monitoring solution for industrial process control. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0020] Figure 1 It is a schematic diagram of the module connection of the system of the present invention.

[0021] Figure 2 It is a schematic diagram of the acquisition logic of the compensated liquid level height data in the magnetic field interference compensation module of the system of the present invention.

[0022] Figure 3 It is a schematic diagram of the structure of the magnetic flap liquid level gauge of the system of the present invention.

[0023] Reference numerals: 1. The plane of the magnetic flap faces inward; 2. Magnetic float; 3. The plane of the magnetic flap faces outward; 4. Magnetic flap; 5. Tank body; 6. Liquid. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of the present technology can make various modifications or supplements to the described specific embodiments or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the claims of the present invention, they should all belong to the protection scope of the present invention.

[0025] Please refer to Figure 1 As shown, the object of the present invention can be achieved by the following technical solutions: The first aspect of the present invention provides a liquid level remote warning system based on the Internet of Things, including: a liquid level detection module, a magnetic field interference compensation module, a flap jamming detection module, a dynamic compensation module, and a remote warning module.

[0026] The liquid level detection module is connected to the magnetic field interference compensation module, the magnetic field interference compensation module is connected to the flap jamming detection module, the flap jamming detection module is connected to the dynamic compensation module, and the dynamic compensation module is connected to the remote alarm module.

[0027] The liquid level detection module triggers the flap flipping action through the magnetic float of the magnetic flap liquid level gauge as the liquid level rises and falls, and collects the liquid level signal in real time.

[0028] The magnetic field interference compensation module synchronously obtains the ambient magnetic field and the magnetic field associated with the movement of the float, separates the effective magnetic field component of the liquid level signal through ambient magnetic field interference suppression processing, and generates compensated liquid level height data in combination with the axial magnetic field change characteristics and the radial magnetic field stability characteristics.

[0029] Please refer to Figure 2 As shown in a preferred embodiment of the present invention, the process of obtaining the compensated liquid level height data includes the following steps: S1. A reference magnetic field sensing unit is arranged at a non-magnetic conductive structure part of the liquid level gauge body to collect ambient magnetic field data in real time.

[0030] An array of detection magnetic field sensing units is arranged axially along the movement trajectory of the float to obtain composite magnetic field data in a circular orthogonal layout.

[0031] S2. Synchronize and align the magnetic field data of the reference magnetic field sensing unit and the array of detection magnetic field sensing units in time, and eliminate the ambient magnetic field component from the composite magnetic field data through vector field differential operation to generate a set of effective magnetic field data of the float.

[0032] S3. Analyze the change trend of the axial component in the set of effective magnetic field data. If it is detected that the axial magnetic field intensity continuously changes monotonically and the amplitude exceeds the dynamic threshold, trigger a liquid level change event mark.

[0033] It should be noted that the analysis of the change trend of the axial component in the above set of effective magnetic field data specifically refers to the change rate of the relative axial component intensity between each unit time point and the previous unit time point.

[0034] S4. Monitor the stability of the radial magnetic field within the event window. If the fluctuation variance value of the radial component is less than or equal to the preset tolerance, extract the axial magnetic field component and output the compensated liquid level height data based on the pre-stored mapping relationship between the float magnetic field and the liquid level height, otherwise perform a full-axis magnetic field compensation operation.

[0035] In a preferred embodiment of the present invention, the full-axis magnetic field compensation operation includes: establishing a liquid level reference mapping value based on the axial component intensity, and correcting the gradient offset according to the spatial distribution characteristics of the radial residual interference component.

[0036] Associate the magnetic field gradient consistency of adjacent detection nodes and eliminate the interference contribution of abnormal nodes.

[0037] Dynamically allocate the compensation weights of the axial and radial components in combination with the historical trigger frequency of the axial locking state.

[0038] If the current compensated liquid level value exceeds the preset liquid level change rate threshold, start data backtracking correction and use the result of spatio-temporal continuity verification as the final output basis.

[0039] In the embodiment of the present invention, by synchronously analyzing the spatial distribution characteristics of the ambient magnetic field and the float-related magnetic field, and based on the axial magnetic field gradient change and the radial magnetic field steady-state characteristics, the interference components are peeled off, so as to effectively extract the float magnetic field under complex working conditions, assist in reconstructing high-precision liquid level data, significantly improve the anti-interference ability and compensation accuracy of the liquid level data, and break through the limitations of the existing static shielding.

[0040] The flap jamming detection module identifies the flap jamming state based on the combined analysis result of the actual response duration of the flap flipping action and the mechanical vibration signal collected by the vibration sensor.

[0041] In a preferred embodiment of the present invention, the identification process of the flap jamming state is as follows: record the trigger time and completion time of the flap flipping action during the time sequence process of the liquid level change event, and calculate the actual flipping response duration.

[0042] Synchronously collect and extract the time-domain amplitude and frequency-domain characteristics of the mechanical vibration signal of the flap flipping action through the vibration sensor. The frequency-domain characteristics include the relative attenuation rate of the high-frequency vibration energy and the relative increase rate of the abnormal harmonic energy, and quantify the flap jamming probability based on the frequency-domain characteristics.

[0043] It should be noted that the above frequency-domain characteristics are quantified by comparing the energy distribution differences of the currently collected mechanical vibration signal and the standard vibration signal of the flap flipping pre-stored in the system in the frequency domain. Among them, the relative attenuation rate of the high-frequency vibration energy is the deviation ratio of the energy ratio of the standard signal in the preset high-frequency band to the energy ratio of the corresponding frequency band of the current signal. The relative increase rate of the abnormal harmonic energy is the deviation ratio of the energy ratio of the non-standard harmonic frequency band of the current signal to the energy ratio of the corresponding frequency band of the standard signal. The deviation ratio operation logic is the ratio of the difference between the two to the standard signal parameter.

[0044] It should also be noted that the specific process of quantifying the flap jamming probability based on the frequency-domain characteristics is as follows: preset the upper limit values corresponding to the relative attenuation rate of the high-frequency vibration energy and the relative increase rate of the abnormal harmonic energy, and perform weighted fusion on the ratio of the relative attenuation rate of the high-frequency vibration energy and the relative increase rate of the abnormal harmonic energy in the frequency-domain characteristics of the currently collected mechanical vibration signal to their corresponding preset upper limit values respectively, and use the weighted fusion result as the flap jamming probability.

[0045] Among them, the preset allowable upper limit value is obtained by repeatedly collecting the mechanical vibration signals of the flap turning action when the magnetic flap level gauge is not stuck, constructing a high-frequency vibration energy relative attenuation rate data set and an abnormal harmonic energy relative increase rate data set, and by calculating the mean and standard deviation of the two characteristic data sets, the preset allowable upper limit value is set to the sum of the mean and three times the standard deviation.

[0046] The weight allocation of the two features in the above-mentioned weighted fusion calculation process is mainly based on their contribution to the recognition of the flap stuck state. The change range of the two features in the stuck state can be calculated according to the historical fault data to allocate weights. The features of multiple batches of fault data can also be reduced in dimension, and the priority of weight allocation can be determined according to the principal component load. For example, the relative attenuation rate of high-frequency vibration energy and the relative increase rate of abnormal harmonic energy can be assigned weights of 0.6 and 0.4 respectively, which are the ratios of their corresponding preset allowable upper limits.

[0047] When the probability of the flap getting stuck exceeds the preset warning threshold, a joint judgment of the flap getting stuck state is performed. The joint judgment conditions include that the actual flipping response time is greater than the preset allowed response time threshold and the vibration amplitude is less than the preset standard vibration amplitude, so as to identify the flap getting stuck state.

[0048] The embodiment of the present invention integrates the timing characteristics of the flipping action with the dynamic characteristics of the mechanical vibration spectrum to effectively distinguish normal mechanical wear from abnormal jamming, realizes real-time intelligent recognition of the jamming state of the magnetic flap, and effectively improves the detection sensitivity and accuracy, providing a reliable basis for subsequent liquid level data correction.

[0049] The dynamic compensation module integrates the compensation liquid level height data and the flap jam detection result, and outputs the corrected liquid level height data based on the jam state weight distribution strategy.

[0050] In a preferred embodiment of the present invention, the corrected liquid level height data output process includes: when the flap jam detection result is a non-jamming state, the compensated liquid level height data is directly used as the corrected liquid level height data.

[0051] When the flap jam detection result is a jam state, the correlation between the duration of the flap jam and the liquid level height deviation in the liquid level change event sequence is captured, and a weight coefficient is allocated based on the severity of the flap jam state to perform smooth correction processing on the compensated liquid level height data, wherein the duration of the flap jam is the time span from the flap jam state being triggered to being released.

[0052] In a preferred embodiment of the present invention, the smoothing correction process of the compensated liquid level height data includes: collecting the delayed response duration and vibration amplitude deviation of each flap turning movement in the stuck state during the liquid level change event sequence, and quantifying the severity of the flap stuck state accordingly.

[0053] Retrieve the correlation model of the stalling duration - liquid level height deviation established by regression analysis of experimental data under the severe degree of the flap stalling state, extract the liquid level height deviation corresponding to each flap flipping motion at the stalling moment under the stalling state, and accumulate them to obtain the cumulative liquid level height deviation in the time series process of the liquid level change event 。

[0054] The weight decay control factor calibrated based on the correlation model to obtain the weight coefficient of the compensated liquid level height data Through the formula complete the smoothing correction process of the compensated liquid level height data, where are the compensated liquid level height data and the corrected liquid level height data respectively

[0055] It should be noted that the specific process of obtaining the weight coefficient of the compensated liquid level height data can be exemplarily referred to the following formula , where is the stalling duration of the flap. The design principle of this exemplary formula is that the longer the stalling time and the greater the liquid level deviation, the lower the weight coefficient, which is used to characterize the credibility of the current compensated liquid level height data. When the weight coefficient approaches 1, it indicates high data credibility, and the compensated liquid level height is directly adopted. On the contrary, when the weight coefficient approaches 0, it indicates low data credibility and needs to be corrected. It should be particularly noted that the values in this formula are all dimensionless

[0056] In a preferred embodiment of the present invention, the quantification process of the severe degree of the flap stalling state includes: taking the sum of the ratio of the delay response duration to the preset permissible response duration threshold and the ratio of the vibration amplitude deviation to the preset standard vibration amplitude as the severity of a single flipping motion

[0057] Taking the average value of the severity of each flipping motion of the flap in the stalling state as the quantification result of the severe degree of the flap stalling state

[0058] The remote alarm module triggers a hierarchical alarm instruction according to the deviation degree and duration threshold of the corrected liquid level height data from the preset liquid level safety interval and sends it to the remote control terminal through the communication unit

[0059] In a preferred embodiment of the present invention, the triggering conditions of the hierarchical alarm instruction include: if the duration for which the corrected liquid level height data continuously exceeds the preset liquid level safety height interval reaches the first preset threshold, trigger a first - level alarm instruction

[0060] If the corrected liquid level height data instantaneously exceeds the preset liquid level safety height interval and the deviation degree relative to the interval reaches the second preset threshold, trigger a second - level alarm instruction

[0061] The first-level alarm instruction and the second-level alarm instruction respectively correspond to different control terminal response priorities.

[0062] It should be noted that the above first-level alarm instruction corresponds to on-site operation terminals, such as DCS control systems or industrial control computers in local duty rooms, and is used to notify operators to execute routine maintenance or adjustment processes.

[0063] The above second-level alarm instruction is associated with safety interlock terminals, such as safety instrument systems SIS or emergency management center servers, triggers emergency shutdown, pressure relief or interlock protection programs, and is synchronously pushed to the remote management platform and mobile terminals to prioritize ensuring equipment safety under high-risk working conditions.

[0064] In a preferred embodiment of the present invention, it further includes a verification module configured to: within a preset calibration period, control the magnetic flap level gauge to perform a full-scale flap action.

[0065] By comparing and correcting the deviation between the corrected liquid level height data and the actual liquid level calibration height, the magnetic field interference compensation parameters and the jamming state detection threshold are dynamically updated.

[0066] It should be noted that the magnetic field interference compensation parameters include environmental magnetic field reference resolution parameters, axial magnetic field dynamic response thresholds for determining the effectiveness of liquid level change events, gradient offset correction parameters for compensating radial residual magnetic field interference, and compensation weight distribution ratios of axial and radial components.

[0067] The embodiment of the present invention realizes multi-level early warning of liquid level anomalies by collaboratively correcting the liquid level deviation caused by magnetic field interference and mechanical jamming. At the same time, relying on the Internet of Things architecture, it realizes real-time perception of equipment operating status and remote intelligent operation and maintenance, providing a more accurate and stable liquid level monitoring solution for industrial process control.

[0068] The second aspect of the present invention provides a level gauge, including a liquid level remote alarm system based on the Internet of Things described in the first aspect of the present invention, wherein each module of the liquid level remote alarm system is implemented by the processor of the level gauge executing corresponding programs.

[0069] It should be noted that the level gauge provided in the second aspect of the present invention is the magnetic flap level gauge described in the liquid level remote alarm system based on the Internet of Things in the first aspect, and its structure can be referred to Figure 3 as shown.

[0070] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to obtain a formula closest to the actual situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0071] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product.

[0072] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in connection with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. A professional technician may use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0073] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically alone, or two or more modules can be integrated into one module.

[0074] As described above, the above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0075] Finally, the above is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should all be included within the protection scope of the present invention.

Claims

1. A liquid level remote alarm system based on the Internet of Things, characterized in that: include: The liquid level detection module collects the liquid level signal in real time by using the magnetic float of the magnetic flap level gauge to trigger the flap turning action as the liquid level rises and falls; The magnetic field interference compensation module synchronously obtains the environmental magnetic field and the magnetic field associated with the float movement, separates the effective magnetic field component of the liquid level signal through environmental magnetic field interference suppression processing, and generates compensated liquid level height data by combining the axial magnetic field change characteristics and radial magnetic field stability characteristics; The flap jam detection module identifies the flap jam state based on the combined analysis results of the actual response time of the flap flipping action and the mechanical vibration signal collected by the vibration sensor; The dynamic compensation module integrates the compensation liquid level height data with the flap jam detection results, and outputs the corrected liquid level height data based on the jam state weight distribution strategy; The remote alarm module triggers a graded alarm instruction based on the deviation between the corrected liquid level height data and the preset liquid level safety interval and the duration threshold, and sends it to the remote control terminal through the communication unit.

2. According to the liquid level remote alarm system based on the Internet of Things according to claim 1, it is characterized in that: The process of acquiring the compensation liquid level height data comprises the following steps: S1. Set a reference magnetic field sensing unit at the non-magnetic structure of the level meter body to collect environmental magnetic field data in real time; An array of magnetic field sensing units is arranged axially along the float motion trajectory to obtain composite magnetic field data in a circular orthogonal layout; S2. Performing time synchronization alignment on the magnetic field data of the reference magnetic field sensing unit and the detection magnetic field sensing unit array, removing the environmental magnetic field component from the composite magnetic field data by vector field differential operation, and generating a float effective magnetic field data set; S3. Analyze the change trend of the axial component in the effective magnetic field data set. If it is detected that the axial magnetic field intensity continues to change monotonically and the amplitude exceeds the dynamic threshold, trigger the liquid level change event mark; S4. Monitor the stability of the radial magnetic field within the event window. If the radial component fluctuation variance value is less than or equal to the preset tolerance, extract the axial magnetic field component and output the compensated liquid level height data based on the pre-stored mapping relationship between the float magnetic field and the liquid level height. Otherwise, perform full-axis magnetic field compensation operation.

3. According to the liquid level remote alarm system based on the Internet of Things as claimed in claim 2, it is characterized by: The full-axis magnetic field compensation operation includes: establishing a liquid level reference mapping value based on the axial component intensity, and correcting the gradient offset according to the spatial distribution characteristics of the radial residual interference component; Correlate the magnetic field gradient consistency of adjacent detection nodes and eliminate the interference contribution of abnormal nodes; Combined with the historical trigger frequency of the axial locking state, the compensation weights of the axial and radial components are dynamically allocated; If the current compensated liquid level value exceeds the preset liquid level change rate threshold, the data backtracking correction is initiated and the spatiotemporal continuity verification result is used as the final output basis.

4. The liquid level remote alarm system based on the Internet of Things according to claim 2 is characterized in that: The identification process of the flap stuck state is as follows: recording the triggering time and completion time of the flap flipping action during the liquid level change event sequence, and calculating the actual flipping response time; The time domain amplitude and frequency domain characteristics of the mechanical vibration signal of the flap turning action are synchronously collected and extracted by the vibration sensor. The frequency domain characteristics include the relative attenuation rate of high-frequency vibration energy and the relative increase rate of abnormal harmonic energy, and the probability of flap jamming is quantified based on the frequency domain characteristics; When the probability of the flap getting stuck exceeds the preset warning threshold, a joint judgment of the flap getting stuck state is performed. The joint judgment conditions include that the actual flipping response time is greater than the preset allowed response time threshold and the vibration amplitude is less than the preset standard vibration amplitude, so as to identify the flap getting stuck state.

5. The liquid level remote alarm system based on the Internet of Things according to claim 2 is characterized in that: The corrected liquid level height data output process includes: When the flap jam detection result is a non-jamming state, the compensation liquid level height data is directly used as the corrected liquid level height data; When the flap jam detection result is a jam state, the correlation between the duration of the flap jam and the liquid level height deviation in the liquid level change event sequence is captured, and a weight coefficient is allocated based on the severity of the flap jam state to perform smooth correction processing on the compensated liquid level height data, wherein the duration of the flap jam is the time span from the flap jam state being triggered to being released.

6. The liquid level remote alarm system based on the Internet of Things according to claim 5 is characterized in that: The smooth correction process of the compensation liquid level height data includes: Collect the delayed response duration and vibration amplitude deviation of each flap turning movement in the stuck state during the liquid level change event sequence, and quantify the severity of the flap stuck state based on this; The model of the duration of the stuck state and the liquid level height deviation established by the regression analysis of experimental data under the severity of the flap stuck state is retrieved, and the liquid level height deviation of each flap flipping movement under the stuck state is extracted from the stuck moment, and the accumulated deviation of the liquid level height in the liquid level change event sequence is obtained by accumulation. ; Based on the weight attenuation control factor calibrated by the association model, the weight coefficient of the compensation liquid level height data is obtained , according to the formula Complete the smooth correction processing of the compensation liquid level height data, where They are respectively the compensated liquid level height data and the corrected liquid level height data.

7. The liquid level remote alarm system based on the Internet of Things according to claim 6 is characterized in that: The quantification process of the severity of the flap stuck state includes: taking the ratio of the delayed response time to the preset permitted response time threshold, and the sum of the ratio of the vibration amplitude deviation to the preset standard vibration amplitude as the severity of a single flipping movement; The average severity of each flipping motion of the flap in the stuck state is taken as the quantitative result of the severity of the flap stuck state.

8. The liquid level remote alarm system based on the Internet of Things according to claim 1 is characterized in that: The triggering conditions of the graded alarm instruction include: if the time length of the corrected liquid level height data continuously exceeding the preset liquid level safety height interval reaches a first preset threshold, a first-level alarm instruction is triggered; If the corrected liquid level height data instantaneously exceeds the preset liquid level safety height interval and the deviation from the interval reaches a second preset threshold, a secondary alarm instruction is triggered; The first-level alarm instruction and the second-level alarm instruction correspond to different control terminal response priorities respectively.

9. The liquid level remote alarm system based on the Internet of Things according to claim 1 is characterized in that: It also includes a verification module configured to: control the magnetic flap level gauge to perform a full-scale flap action within a preset calibration period; By comparing the deviation between the corrected liquid level height data and the actual liquid level calibration height, the magnetic field interference compensation parameters and the stuck state detection threshold are dynamically updated.

10. A liquid level meter, characterized in that: It comprises a liquid level remote alarm system based on the Internet of Things as claimed in any one of claims 1 to 9, wherein each module of the liquid level remote alarm system is implemented by executing a corresponding program by a processor of the liquid level meter.

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