A float intelligent liquid level transmitter

Abstract

The present invention provides a float intelligent liquid level transmitter, which belongs to the field of liquid level measurement. It includes a float body and a transmitter body. The float body contains a first float and a second float, and a diaphragm is provided inside the diaphragm to separate the cavity. It is also provided with a connecting pipe, a top cover, an input pipe and other components. The top cover is provided with an ultrasonic component, a laser sensor and a processing module. The transmitter body is installed on the top of the second float and is provided with a torque tube. The second float cavity contains a float and its float rod connected to the torque tube. The transmitter detects impurities by emitting an excitation signal through the ultrasonic component, obtains multidimensional data in combination with the laser sensor, and optimizes the impurity detection process through the processing module using adaptive genetic algorithms and the like. The diaphragm divides the first float into a dual-cavity structure, and cooperates with the second float to reduce the interference of impurities on the core components. At the same time, the filter sleeve and other structures realize impurity cleaning, thereby effectively improving the accuracy of liquid level measurement and realizing precise liquid level measurement and efficient impurity detection and processing.

Description

Technical Field

[0001] The present invention belongs to the technical field of transmitters, and more specifically, relates to a float intelligent liquid level transmitter. Background Art

[0002] As a device for measuring liquid levels in industrial process control, float-based intelligent liquid level transmitters are widely used in industries such as petrochemicals, energy and electricity, and pharmaceuticals and foods. They are used to monitor the liquid level in containers such as storage tanks and reactors in real time, providing key data support for the safe and stable operation of the production process and material management. During the use of the float, the measured liquid often contains impurities, and these impurities tend to adhere to the inner wall of the float over a long period of time. However, the float of traditional liquid level transmitters does not have an effective impurity treatment structure, and long-term use can easily cause impurities to accumulate on the inside of the float, which not only affects the accuracy of liquid level measurement, but may also hinder the movement of the float and shorten the service life of the equipment. At the same time, a single sensor is often used for impurity detection, which makes it difficult to accurately identify and quantify impurities in complex environments, and it is impossible to adjust the detection strategy in a timely and effective manner according to the impurity situation, resulting in insufficient stability and reliability of the detection results. Summary of the Invention

[0003] In order to solve the above technical problems, the present invention provides a float intelligent liquid level transmitter to solve the technical problems in the existing technology that the traditional liquid level transmitter float lacks an impurity processing structure, which can easily lead to measurement inaccuracy and equipment failure, and the impurity detection method is single and difficult to accurately identify and adjust the strategy, resulting in insufficient detection stability and reliability.

[0004] The purpose and effect of the float intelligent liquid level transmitter of the present invention are achieved by the following specific technical means:

[0005] A float intelligent liquid level transmitter includes a float body and a transmitter body. The float body includes a first float and a second float. The second float is installed on one side of the first float. The second float and the second float are connected to form a main body cavity. At the same time, a diaphragm is provided in the first float to separate the main body cavity into a first float cavity and a second float cavity for storing a pressure transmission medium.

[0006] The first float chamber is connected to the external tank through multiple groups of connecting pipes. A top cover is provided on the top of the first float, and an input pipe is provided on one side of the first float. The input pipe is connected to the liquid supply device. An ultrasonic component is provided on the top cover. The ultrasonic component includes a movable frame and an ultrasonic probe. The movable frame is slidably connected to the top cover, and the ultrasonic probe is installed on the movable frame.

[0007] The transmitter body is installed on the top of the second float. A torque tube is provided on the transmitter body. A float is provided in the second float cavity. A float rod is provided on the float, and the float rod is connected to the torque tube.

[0008] The top cover is provided with a laser sensor and a processing module for optimizing the detection of impurities in the buoy. The laser sensor is electrically connected to the processing module.

[0009] According to a preferred embodiment, a connecting sleeve is provided on the top cover, a through hole is formed in the connecting sleeve, the connecting sleeve is connected to the first float chamber through the through hole, the movable frame is passed through the connecting sleeve and the through hole, a screw assembly is provided on the connecting sleeve, the movable frame is slidably connected to the connecting sleeve through the screw assembly, and the movable frame can enter and exit the first float chamber;

[0010] Sealing blocks are provided at both ends of the movable frame, the sealing block at the bottom of the movable frame is clamped in the through hole, and the ultrasonic probe is located in the movable frame and mounted on the sealing block at the top of the movable frame;

[0011] The ultrasonic component also includes an ultrasonic generator. A mounting box is provided on the top cover. The ultrasonic generator is installed in the mounting box and is connected to the ultrasonic probe via a conductive line.

[0012] According to a preferred embodiment, a placement box is provided on one side of the first buoy, a through slot is provided on the first buoy, the placement box is connected to the first buoy cavity through the through slot, and a fixed frame is provided below the first buoy, the fixed frame is inserted into the through slot, and the two ends of the fixed frame are respectively located in the placement box and the first buoy;

[0013] A filter sleeve is provided in the first float chamber. The filter sleeve is configured as a tube and is clamped in the fixed frame. The diameter of the filter sleeve is equal to the diameter of the first float chamber. A filter screen is provided in the filter sleeve. The top edge of the filter sleeve is configured as a blade and contacts the inner wall of the first float chamber.

[0014] A lifting sleeve is provided on both sides of the first buoy. A base is provided at the bottom of the lifting sleeve to form a lifting cavity. A connecting pipe is provided on the base. One group of the connecting pipes is connected to an external water pump and another group of the connecting pipes through a conduit. The two groups of the lifting cavities are interconnected.

[0015] An electromagnet is provided in the lifting sleeve, and the electromagnet is located above the base. A magnetic ring is provided on the filter sleeve, and the magnetic ring is located between the two groups of electromagnets.

[0016] According to a preferred embodiment, a connecting pipe is provided on the connecting pipe at the bottom of the first buoy, a monitoring pipe is provided on one side of the first buoy, one end of the monitoring pipe is connected to the connecting pipe, the monitoring pipe is connected to the connecting pipe through the connecting pipe, a first solenoid valve is provided on the connecting pipe, and a second solenoid valve is provided on both the connecting pipe and the input pipe;

[0017] A detection block is provided in the monitoring tube, two groups of sensing modules capable of sensing the detection block are provided on one side of the monitoring tube, two groups of mounting sleeves are provided on the monitoring tube, one end of the sensing module is clamped in the mounting sleeve, a safety zone is set between the two groups of sensing modules, and an early warning zone is set above the sensing module at the top of the monitoring tube and below the sensing module at the bottom;

[0018] A plurality of support frames are provided on one side of the first buoy, and the monitoring pipes are clamped on the plurality of support frames.

[0019] According to a preferred embodiment, a mounting sleeve is provided on the top of the second buoy, the transmitter body is mounted on the mounting sleeve, one end of the torque tube is passed through the mounting sleeve, the mounting sleeve and the second buoy are connected to each other, the buoy rod on the top of the buoy is passed through the mounting sleeve, and the connection between the torque tube and the buoy rod is located in the mounting sleeve;

[0020] The second float is provided with a plurality of injection tubes, and the liquid level of the pressure transmission medium is lower than the height of the connection between the torque tube and the float rod.

[0021] According to a preferred embodiment, a support frame is provided on one side of the second buoy, and a plurality of support columns are provided on the support frame. A slot is provided on the transmitter body corresponding to the support column, and one end of the support column is clamped in the slot.

[0022] A mounting bracket is provided at the opening on one side of the second float, a pressure sensor is provided in the second float chamber, a mounting groove is provided on the mounting bracket, the pressure sensor is clamped in the mounting groove, the pressure sensor faces the diaphragm, and the diaphragm can contact the pressure sensor.

[0023] According to a preferred embodiment, the processing module optimizes the method for detecting impurities in the buoy, including the following steps:

[0024] S1: Acquire multidimensional basic data parameters and environmental parameters within the detection area, integrate the multidimensional basic data parameters and environmental parameters in chronological order, obtain multiple sets of data records with time stamps, and construct an initial data set based on the multiple sets of data records;

[0025] S2: Preset the impurity analysis model, perform data feature extraction and correlation analysis based on the initial data set through the impurity analysis model, and obtain the initial impurity detection parameters;

[0026] S3: Based on the impurity analysis model, the impurity detection parameters are compared in multiple dimensions, and the parameter differences are calculated using the cosine similarity algorithm to obtain a difference value dataset;

[0027] S4: Iteratively optimize the difference value data set based on the adaptive genetic algorithm until the algorithm converges and obtains the precise impurity detection parameters;

[0028] S5: Setting the first-level threshold and the second-level threshold, and performing a comparison operation based on the impurity precision detection parameters and the threshold;

[0029] S51: If the detection parameter is lower than the first level threshold, it is determined that the impurities in the detection area are at a safe level and the normal detection cycle is maintained;

[0030] S52: If the detection parameter is between the first and second level thresholds, start the ultrasonic excitation detection operation;

[0031] S53: If the detection parameter is higher than the second level threshold, the early warning mechanism is triggered and the impurity removal operation is performed.

[0032] According to a preferred embodiment, the ultrasonic excitation detection operation includes:

[0033] An ultrasonic excitation signal is emitted into the first buoy through the ultrasonic component to obtain dynamic change parameters and instantaneous fluctuation parameters. Based on the dynamic time warping algorithm, time series alignment and feature fusion of the dynamic change parameters and instantaneous fluctuation parameters are performed to obtain the acoustic-optical signal coupling change characteristic parameters. Based on the acoustic-optical signal coupling change characteristic parameters, the impurity precision detection parameters are corrected and updated to form secondary detection result parameters.

[0034] According to a preferred embodiment, time series alignment and feature fusion of dynamic change parameters and instantaneous fluctuation parameters are performed based on a dynamic time warping algorithm, including the following steps:

[0035] The dynamic change parameters and instantaneous fluctuation parameters are constructed as time series matrices respectively. Based on the Euclidean distance as the similarity measure, the optimal path is calculated through the dynamic programming algorithm for time series alignment. After alignment, wavelet transform is performed on the dynamic change parameters and instantaneous fluctuation parameters to decompose them into parameters of different frequency components. Energy characteristic parameters and peak parameters are extracted based on the same frequency component parameters, and the energy eigenvalue and the peak eigenvalue are weighted multiplied to obtain the characteristic parameters of the acoustic-optical signal coupling change.

[0036] According to a preferred embodiment, step S1 further includes:

[0037] The detection area is represented as the space inside the first buoy;

[0038] The multi-dimensional basic data parameters and environmental parameters are represented as parameters acquired by the laser sensor when the first buoy is connected to the external tank and there is liquid inside.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] 1. The liquid level transmitter features a dual-chamber structure between the first and second floats. The first float chamber, formed by a diaphragm, and the second float chamber, which stores the pressure-transmitting medium, separate the measured liquid from the core measuring components, preventing impurities from directly contacting key structures such as the float and torque tube, thereby fundamentally reducing the interference of impurities on the measurement system. At the same time, the filter sleeve installed in the first float chamber has a blade-like top edge that can effectively scrape impurities attached to the inner wall of the first float chamber. Combined with the lifting mechanism composed of an electromagnet and a magnetic ring, the filter sleeve can be automatically raised and lowered and cleaned to prevent filter clogging. The ultrasonic excitation signal emitted by the ultrasonic component can vibrate the inner wall of the first float at high frequency, causing stubborn impurities to fall off, further enhancing the impurity cleaning effect. This multi-effect, synergistic impurity handling method not only significantly improves the accuracy of liquid level measurement, but also significantly reduces the risk of impurity accumulation hindering the movement of the float, extending the service life of the equipment and reducing the frequency and cost of equipment maintenance.

[0041] 2. The collaborative work of the laser sensor and the processing module, by acquiring multi-dimensional basic data parameters and environmental parameters, combined with an impurity analysis model based on deep learning, can quickly and accurately extract impurity features and analyze their correlations, thereby obtaining initial impurity detection parameters. On this basis, advanced algorithms such as adaptive genetic algorithms and dynamic time warping algorithms are used to deeply optimize and fuse the detection data. For example, the dynamic time warping algorithm is used to align the time series and fuse the features of the acoustic-optical signals under ultrasonic excitation, obtain the characteristic parameters of the acoustic-optical signal coupling change, and further correct and update the impurity detection results, thereby achieving accurate identification and quantitative analysis of impurities in complex environments. In addition, setting multi-level thresholds for detection result judgment can timely and automatically adjust the detection strategy according to the impurity situation, such as starting ultrasonic excitation detection operations or triggering early warning and impurity removal operations, effectively improving the stability and reliability of the detection results, providing strong technical support for accurate liquid level measurement and material management in industrial production processes, and meeting the intelligent and high-precision production needs of modern industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the structure of the present invention after assembly;

[0043] Figure 2 It is a schematic diagram of the structure of the present invention after expansion;

[0044] Figure 3 It is a schematic diagram of the structure of the ultrasonic component after it is unfolded;

[0045] Figure 4 It is a schematic diagram of the structure after the fixed frame and the isolation sleeve are unfolded;

[0046] Figure 5 is a cross-sectional view of the present invention;

[0047] Figure 6 is a schematic structural diagram of the first buoy;

[0048] Figure 7 yes Figure 2 A partial enlarged view of area a in the middle;

[0049] Figure 8 This is the principle block diagram of the controller;

[0050] Figure 9 It is a flow chart of the steps of the processing module for optimizing the method of detecting impurities in the buoy.

[0051] In the figure, the corresponding relationship between component names and reference numerals is as follows:

[0052] 11. Transmitter body; 12. Laser sensor; 201. First float; 202. Diaphragm; 203. Connecting pipe; 204. Top cover; 205. Input pipe; 206. Connecting sleeve; 207. Mounting box; 208. Placement box; 209. Connecting pipe; 210. Support frame; 31. Second float; 32. Floating cylinder; 33. Float rod; 34. Assembly sleeve; 35. Injection tube; 36. Support frame; 37. Support column; 38. Mounting bracket; 39. Pressure sensor; 41. Moving frame; 42. Ultrasonic probe; 43. Sealing block; 44. Ultrasonic generator; 45. Fixed frame; 46. Filter sleeve; 47. Filter screen; 48. Magnetic ring; 51. Lifting sleeve; 52. Base; 53. Connecting pipe; 54. Electromagnet; 55. Monitoring tube; 56. Detection block; 57. Sensing module; 58. Mounting sleeve. DETAILED DESCRIPTION

[0053] The following embodiments of the present invention are described in further detail with reference to the accompanying drawings and examples. The following examples are used to illustrate the technical solutions of the present invention, but are not intended to limit the scope of protection of the present invention.

[0054] Example: Figures 1 to 9As shown, the present invention provides a float intelligent liquid level transmitter, which includes a float body and a transmitter body 11. The first float 201 and the second float 31 are installed adjacent to each other on the left and right, and the two are connected to each other to form a main cavity. The diaphragm 202 in the first float 201 divides the main cavity into a first float cavity and a second float cavity. The first float cavity is connected to the external tank body through multiple groups of connecting pipes 203, so that the liquid in the tank body can flow smoothly into the first float cavity, and its function is to directly receive and accommodate the measured liquid. The second float cavity is used to store the pressure transmission medium. This dual-cavity structure design separates the part that directly contacts the measured liquid from the core measuring component, reducing the impact of impurities in the liquid on the measurement system.

[0055] The first float 201 is topped with a top cover 204. An inlet pipe 205 on one side is connected to a liquid supply device, allowing liquid or cleaning fluid to be added to the first float chamber as needed. The ultrasonic assembly on the top cover 204 consists of a movable frame 41 and an ultrasonic probe 42. The movable frame 41 is slidably connected to the top cover 204, driving the ultrasonic probe 42 within the first float chamber. When the inner wall of the first float chamber needs to be cleaned, the ultrasonic probe 42 emits an ultrasonic excitation signal. This high-frequency ultrasonic vibration dislodges stubborn impurities adhering to the inner wall of the first float chamber, facilitating subsequent removal.

[0056] The transmitter body 11 is mounted atop the second float 31. The torque tube atop it is the core measuring component. The float 32 in the second float chamber is connected to the torque tube via a float rod 33. When the liquid level in the first float chamber changes, the pressure-transmitting medium transmits pressure to the second float chamber, causing the buoyancy of the float 32 to change. This, in turn, drives the float rod 33, causing the torque tube to twist. The liquid level is measured by detecting the twisted angle of the torque tube.

[0057] The laser sensor 12 on the top cover 204 is electrically connected to the processing module. The laser sensor 12 acquires multi-dimensional basic data parameters and environmental parameters within the detection area. Based on this data, the processing module uses pre-set impurity analysis models and other algorithms to detect and analyze impurities, thereby optimizing impurity detection in the float and ensuring accurate liquid level measurement. The entire float intelligent level transmitter is also connected to an external controller, which receives real-time detection data, adjusts operating parameters, and remotely initiates operations such as ultrasonic excitation and impurity removal, enabling intelligent monitoring and management. The laser sensor 12 can be a Keyence LK-G80 laser sensor.

[0058] like Figure 2 、 Figure 3As shown, the top cover 204 is provided with a connecting sleeve 206, which has a through hole formed therein. This through hole serves as a passage between the connecting sleeve 206 and the first float chamber, allowing the two to interpenetrate. The movable frame 41 is inserted through the connecting sleeve 206 and the through hole. The screw assembly provided on the connecting sleeve 206 provides the sliding power and support structure for the movable frame 41. Through the operation of the screw assembly, the movable frame 41 can slide along the connecting sleeve 206, thereby achieving the movement of entering and exiting the first float chamber. This structure allows the ultrasonic probe 42 to be moved to different positions within the first float chamber as needed, allowing for comprehensive inspection and cleaning operations within the float chamber.

[0059] The two ends of the mobile frame 41 are designed as sealing blocks 43, with the bottom sealing block 43 being locked in the through-hole. This structure plays an important sealing role, preventing the liquid or gas in the first float chamber from leaking out through the through-hole, while also preventing external impurities from entering the first float chamber, ensuring the stability of the internal environment of the float chamber. The ultrasonic probe 42 is located within the mobile frame 41 and is mounted on the sealing block 43 at the top of the mobile frame 41. This installation method makes the ultrasonic probe 42 more stable during movement, capable of accurately transmitting and receiving ultrasonic signals, providing reliable support for subsequent inspection and cleaning of the interior of the first float chamber.

[0060] The ultrasonic assembly also includes an ultrasonic generator 44. The mounting box 207 on the top cover 204 provides a safe and stable installation environment for the ultrasonic generator 44. The ultrasonic generator 44 is installed in the mounting box 207 and connected to the ultrasonic probe 42 via a conductive cable. The ultrasonic generator 44's primary function is to generate high-frequency electrical signals, which are transmitted via the conductive cable to the ultrasonic probe 42. The ultrasonic probe 42 converts the electrical signals into ultrasonic signals and transmits them into the first float chamber. When the ultrasonic signals encounter impurities or other objects on the inner wall of the first float chamber, they are reflected. The reflected ultrasonic signals are received again by the ultrasonic probe 42, converted into electrical signals, and transmitted back to the ultrasonic generator 44. By analyzing and processing these reflected signals, information about the interior of the first float chamber, such as the location and quantity of impurities, can be obtained, enabling detection and monitoring of impurities within the first float chamber. When the inner wall of the first float chamber needs to be cleaned, the ultrasonic generator 44 generates ultrasonic signals of a specific frequency and intensity. When these ultrasonic signals propagate through the liquid, they cause violent vibrations in the liquid molecules, generating a powerful impact force. This impact force dislodges stubborn impurities adhering to the inner wall of the first float chamber, achieving the desired cleaning effect. By controlling the operating parameters of ultrasonic generator 44, the frequency and intensity of the ultrasonic waves can be adjusted to suit the cleaning requirements of different types and degrees of impurities. Ultrasonic generator 44 can be a Fischer FUS-3000 ultrasonic generator.

[0061] like Figure 2 、 Figure 4 As shown, a placement box 208 is installed on one side of the first float 201, and the two are interconnected via a through-channel provided in the first float 201. The placement box 208 primarily collects and temporarily stores impurities removed from the first float chamber. A fixed frame 45, located below the first float 201, extends through the through-channel, with its ends positioned within the placement box 208 and the first float 201, respectively. This provides a stable support structure for the filter sleeve 46, ensuring that the filter sleeve 46 can be accurately installed and operated within the first float chamber.

[0062] The filter sleeve 46 provided in the first float chamber is a tubular structure having a diameter equal to that of the first float chamber and is clamped in the fixed frame 45. This structure enables the filter sleeve 46 to fully cover the cross-section of the first float chamber and effectively intercept impurities in the liquid. The filter screen 47 provided in the filter sleeve 46 further filters the liquid, preventing larger particles of impurities from passing through, thereby reducing the impact of impurities on the subsequent measurement system. The top edge of the filter sleeve 46 is configured to be blade-shaped and in contact with the inner wall of the first float chamber. When the filter sleeve 46 is raised and lowered in the first float chamber, the blade-shaped edge can scrape off impurities attached to the inner wall of the first float chamber, separating these impurities from the inner wall for subsequent cleaning.

[0063] Lifting sleeves 51 are installed on both sides of the first buoy 201. A base 52 at the bottom of the lifting sleeve 51 and the lifting sleeve 51 together form a lifting chamber. Connecting pipes 53 are installed on the base 52. One set of connecting pipes 53 is connected to an external water pump and another set of connecting pipes 53 via conduits, respectively, allowing the two sets of lifting chambers to communicate with each other. The external water pump controls the flow and pressure of the liquid in the lifting chamber, providing power for the lifting and lowering of the filter sleeve 46.

[0064] The electromagnet 54 disposed within the lifting sleeve 51 is located above the base 52, and the magnetic ring 48 disposed on the filter sleeve 46 is located between the two sets of electromagnets 54. When the electromagnet 54 is energized, a magnetic field is generated, which interacts with the magnetic ring 48, thereby achieving lifting and lowering control of the filter sleeve 46. Specifically, when the filter sleeve 46 needs to be lifted, the upper electromagnet 54 is energized, generating a magnetic field that attracts the magnetic ring 48, causing the filter sleeve 46 to move upward; when the filter sleeve 46 needs to be lowered, the lower electromagnet 54 is energized, generating a magnetic field that attracts the magnetic ring 48, causing the filter sleeve 46 to move downward. This lifting and lowering control method achieved by the electromagnet 54 and the magnetic ring 48 can control the lifting position and speed of the filter sleeve 46, ensuring the normal operation of the filter sleeve 46 within the first float chamber.

[0065] During actual operation, when the first float chamber needs to be cleaned, the liquid pressure in the lifting chamber is first adjusted through the cooperation of the external water pump and the connecting pipe 53 to provide initial power for the lifting of the filter sleeve 46. Then, by controlling the power state of the electromagnet 54, the lifting and lowering movement of the filter sleeve 46 is precisely controlled. During the lifting process of the filter sleeve 46, the blade-like top edge of the filter sleeve 46 will scrape off the impurities on the inner wall of the first float chamber. These impurities will enter the interior of the filter sleeve 46 with the flow of liquid and be intercepted by the filter mesh 47. As the filtration process proceeds, impurities will gradually accumulate in the filter sleeve 46. When the accumulation reaches a certain level, the filter sleeve 46 can be moved to the through slot position by further controlling the lifting position of the filter sleeve 46, so that the impurities can pass through the through slot into the placement box 208 for collection.

[0066] A connecting pipe 209 is installed on the connecting pipe 203 at the bottom of the first buoy 201. A monitoring pipe 55 is located on one side of the first buoy 201, with one end of the monitoring pipe 55 connected to the connecting pipe 209, thereby forming a through-hole structure with the connecting pipe 203. A first solenoid valve installed on the connecting pipe 203 controls the flow of liquid between the first buoy 201 and the external tank. When the first solenoid valve is open, liquid from the external tank flows into the first buoy 201 through the connecting pipe 203; when closed, the liquid flow is blocked. A second solenoid valve is installed on both the connecting pipe 209 and the inlet pipe 205. The second solenoid valve controls the opening and closing of specific channels. By working in conjunction with the first solenoid valve, the second solenoid valve can perform various functions, such as liquid diversion and cleaning fluid injection. For example, when inspection or maintenance is required inside the first buoy 201, the first solenoid valve on the connecting pipe 203 can be closed, and the second solenoid valve on the inlet pipe 205 can be opened to introduce cleaning fluid for flushing.

[0067] like Figure 2 、 Figure 7 As shown, a detection block 56 is placed within the monitoring tube 55. Two sets of sensing modules 57 are installed on one side of the monitoring tube 55, with one end of each set of sensing modules 57 snapped into a mounting sleeve 58 to secure it. The area between the two sets of sensing modules 57 is designated as the safe zone, while the area above the top sensing module 57 and below the bottom sensing module 57 of the monitoring tube 55 are designated as the warning zone. When liquid flows from the connecting tube 203 through the connecting tube 209 into the monitoring tube 55, the detection block 56 flows with the liquid. If the impurity content of the liquid is normal, the detection block 56 moves within the safe zone, and the sensing module 57 continuously monitors its position. However, if the liquid impurities increase, the flow rate changes, or an abnormal fluctuation occurs, the detection block 56 may deviate from the safe zone and enter the warning zone. At this time, the sensing module 57 senses the change in the detection block 56's position and sends a feedback signal to the system, indicating that there may be excessive impurities or other abnormal conditions. The sensing module 57 can be a NI15-EM30-Y1X-H1141 inductive proximity switch.

[0068] Multiple sets of support frames 210 arranged on one side of the first buoy 201 support and secure the monitoring tube 55. The support frames 210 securely hold the monitoring tube 55 in place, ensuring it remains in a stable position during long-term use. This prevents displacement or shaking caused by factors such as fluid flow shock and equipment vibration. Furthermore, the support frames 210 ensure accurate relative positioning between the detection block 56 and the sensing module 57 within the monitoring tube 55, enabling continuous and stable monitoring and providing a reliable basis for determining the level of liquid impurities within the first buoy 201.

[0069] A mounting sleeve 34 is provided on top of the second float 31. It is a key component that connects the transmitter body 11 and the second float 31. The transmitter body 11 is mounted on the mounting sleeve 34, providing signal conversion and output functions for the entire liquid level measurement. One end of the torque tube is inserted into the mounting sleeve 34. As the core sensing component of the liquid level measurement, it can convert mechanical displacement into a measurable signal. The mounting sleeve 34 and the second float 31 are interconnected, so that the internal space of the second float 31 is connected to the mounting sleeve 34. The float rod 33 at the top of the float 32 is also inserted into the mounting sleeve 34, and the connection between the torque tube and the float rod 33 is located in the mounting sleeve 34. This structural arrangement allows the float 32 to float up and down in the second float 31 as the liquid level changes, and the float rod 33 can drive the torque tube to produce corresponding deformation, thereby achieving liquid level measurement.

[0070] The second buoy 31 is equipped with multiple injection tubes 35 for injecting or replenishing a pressure-transmitting medium into the second buoy 31. The pressure-transmitting medium transmits pressure within the second buoy 31, transferring the pressure generated by the liquid level changes within the first buoy 201 to the float 32. The pressure-transmitting medium's liquid level is kept below the connection between the torque tube and the buoy rod 33. This level setting prevents the pressure-transmitting medium from entering the connection between the torque tube and the buoy rod 33, thereby preventing corrosion or otherwise affecting the connection. This ensures the stability and reliability of the connection between the torque tube and the buoy rod 33, thereby ensuring continuous and effective liquid level measurement.

[0071] A support frame 36 is provided on one side of the second buoy 31 to provide a stable support base for the transmitter body 11. Multiple groups of support columns 37 are distributed on the support frame 36, and these support columns 37 correspond to the slots provided in the transmitter body 11. One end of the support column 37 snaps into the slot, allowing the transmitter body 11 to be securely fixed to the second buoy 31. During operation, the support column 37 and the slot effectively share the weight of the transmitter body 11 while resisting external forces caused by factors such as liquid level fluctuations and equipment vibration, preventing displacement or shaking of the transmitter body 11 and ensuring its stable operation.

[0072] The mounting bracket 38, located at the opening on one side of the second float 31, is used to mount the pressure sensor 39. The mounting slot on the mounting bracket 38 provides positioning and mounting space for the pressure sensor 39. Once inserted into the mounting slot, the pressure sensor 39 maintains a fixed position and orientation. The pressure sensor 39 is positioned toward the diaphragm 202. When the liquid level in the first float 201 changes, the pressure is transmitted to the diaphragm 202 in the second float 31 through the pressure-transmitting medium, causing the diaphragm 202 to deform and come into contact with the pressure sensor 39. The pressure sensor 39 can sense the pressure changes transmitted by the diaphragm 202 in real time and convert them into electrical signals for output. These signals can serve as auxiliary data for liquid level measurement and can be verified with the torque tube's measurement results, further improving the reliability of liquid level measurement. Furthermore, the installation of the pressure sensor 39 also helps monitor the pressure state of the pressure-transmitting medium and promptly detect abnormalities, such as leakage or blockage of the pressure-transmitting medium. The pressure sensor 39 can utilize the Honeywell STG800 pressure sensor.

[0073] like Figure 2 、 Figure 8 、 Figure 9 As shown, the processing module optimizes the method for detecting impurities in the buoy, including the following steps:

[0074] S1: Acquire multidimensional basic data parameters and environmental parameters within the detection area, integrate the multidimensional basic data parameters and environmental parameters in chronological order, obtain multiple sets of data records with time stamps, and construct an initial data set based on the multiple sets of data records;

[0075] Specifically, the detection area is the space inside the first float 201, which is directly connected to the external tank through the connecting pipe 203. When the liquid in the external tank flows into the first float 201, the impurities carried therein also enter the detection area, which becomes the core space for impurity detection.

[0076] Multidimensional basic data parameters and environmental parameters are primarily acquired by the laser sensor 12 on the top cover 204. The laser sensor 12 is connected to the top cover 204 atop the first buoy 201 and operates by emitting a laser beam into the interior of the first buoy 201. As the laser beam propagates within the first buoy 201, it interacts with the liquid and the impurities therein. When the laser beam encounters impurity particles in the liquid, it reflects and scatters. The laser sensor 12 receives these reflected and scattered laser signals and, based on data such as signal intensity and wavelength shift, determines multidimensional basic data parameters such as the size, quantity, and distribution density of the impurities. For example, larger impurity particles increase the intensity of the reflected signal, while impurities of different materials can cause specific wavelength shifts.

[0077] The laser sensor 12 also monitors the environmental parameters of the liquid within the first buoy 201. Changes in the liquid's temperature and concentration cause changes in its refractive index, which in turn affects the laser propagation path and signal characteristics. By analyzing subtle changes in the laser signal, the laser sensor 12 can determine environmental parameters such as the liquid's temperature and concentration. Furthermore, the flow state of the fluid within the first buoy 201 also affects the laser signal. Fluctuations in flow velocity can cause Doppler shifts in the reflected signal, allowing the laser sensor 12 to determine parameters such as the fluid's flow velocity.

[0078] The system adds a time stamp to the multidimensional basic data parameters and environmental parameters acquired at each sampling moment, forming a complete data record. Over time, this data collection process is repeated, accumulating multiple sets of time-stamped data records. These data records are arranged and integrated in chronological order, ultimately forming the initial dataset for subsequent impurity analysis. This dataset contains dynamic information on impurity characteristics and environmental conditions during liquid level changes, laying the foundation for subsequent data feature extraction and correlation analysis using the pre-set impurity analysis model.

[0079] S2: Preset the impurity analysis model, perform data feature extraction and correlation analysis based on the initial data set through the impurity analysis model, and obtain the initial impurity detection parameters;

[0080] Specifically, the impurity analysis model is built based on a deep learning algorithm and trained by learning from a large amount of historical impurity detection data. This historical data contains multidimensional characteristic parameters of different types of impurities under different operating conditions and their corresponding actual detection results. During the model training phase, a supervised learning approach is adopted, using the impurity characteristic parameters in the historical data as input and the actual detection results as output. By continuously adjusting the weight parameters within the model, the model can learn the inherent correlation between impurity characteristics and actual detection results. For example, for a liquid level detection scenario in a chemical production process, the historical data may contain signal characteristics of impurity particles of different concentrations and particle sizes under laser scattering, as well as information such as the corresponding impurity type and content level. By learning from this data, the model can identify the distribution patterns of different types of impurities in the multidimensional feature space.

[0081] After obtaining the initial dataset, the multidimensional basic data parameters and environmental parameters are input into the pre-set impurity analysis model. The model first preprocesses the input data, including data cleaning and normalization, to eliminate noise and dimensional differences. Next, the model uses a combination of convolutional neural networks and recurrent neural networks for feature extraction. Convolutional neural networks are effective in extracting spatial features from the data, such as the shape and size distribution of impurity particles. Recurrent neural networks excel at processing sequential data and can capture temporal trends in impurity characteristics.

[0082] In terms of correlation analysis, the model analyzes the interrelationships between multidimensional basic data parameters. For example, there may be a correlation between the particle size distribution and concentration changes of impurities detected by the laser sensor 12. If the number of large impurities suddenly increases at a certain moment, the model may also detect an abnormal change in the liquid flow rate at that time. By analyzing this correlation, the source and nature of the impurities can be more accurately determined.

[0083] The model also considers the impact of environmental parameters on impurity detection. For example, changes in liquid temperature can alter the motion of impurity particles, affecting the characteristics of the laser scattering signal. By learning these correlations from historical data, the model can modify impurity signatures based on current environmental parameters during actual detection, improving detection accuracy.

[0084] After feature extraction and correlation analysis, the impurity analysis model outputs initial impurity detection parameters. These parameters include impurity type identification, concentration estimation, particle size distribution, and dynamic impurity trends. For example, the model might output initial impurity detection parameters such as "At the current moment, metal impurities are present in the detection area at a concentration of approximately 0.5%, with a primary particle size distribution between 50 and 100 microns, and an increasing concentration." These parameters provide a foundation for subsequent in-depth optimization and decision-making.

[0085] S3: Based on the impurity analysis model, the impurity detection parameters are compared in multiple dimensions, and the parameter differences are calculated using the cosine similarity algorithm to obtain a difference value dataset;

[0086] Specifically, after extracting the initial impurity detection parameters, the impurity analysis model further performs a multi-dimensional comparative analysis of these parameters. This model, trained on historical data, can identify the distribution patterns of different impurity types in a multidimensional feature space. For example, in a chemical production process, the annotated metal particle impurities in historical data typically exhibit larger particle size, higher scattered light intensity, and specific spectral characteristics, while non-metallic impurities exhibit smaller particle size, lower scattered light intensity, and a different spectral distribution. By learning these patterns, the model builds a library of characteristic templates for various impurity types.

[0087] After obtaining the initial impurity detection parameters, the system performs a multi-dimensional comparison against standard features in the template library. These comparison dimensions include, but are not limited to, impurity particle size distribution, concentration trends, scattered light spectral characteristics, and dynamic changes over time. For example, the size distribution of the currently detected impurity particles may exhibit a bimodal characteristic, with one peak around 50 microns and another around 150 microns, whereas the size distribution of standard metal impurity templates is typically unimodal and concentrated in the 100-200 micron range.

[0088] During the comparison process, the cosine similarity algorithm is used to calculate the difference between the current parameter vector and the standard template vector. Cosine similarity evaluates their similarity by measuring the cosine value of the angle between two vectors. The closer the value is to 1, the more similar they are, and the closer it is to 0, the greater the difference. In the specific calculation, the parameters of each dimension are normalized to form a feature vector, for example:

[0089] Current parameter vector A = [particle size distribution characteristic value, concentration change rate, spectrum characteristic value, dynamic change trend value]

[0090] Standard template vector B = [standard particle size distribution characteristic value, standard concentration change rate, standard spectrum characteristic value, standard dynamic change trend value]

[0091] Calculate the cosine similarity of two vectors:

[0092] ;

[0093] The difference value is passed get.

[0094] These difference values ​​form a difference value dataset, which reflects the degree of deviation between the currently detected impurity characteristics and the standard template. This dataset provides a quantitative basis for subsequent identification of impurity types, assessment of impurity hazard levels, and development of targeted cleanup strategies. For example, if the difference value of a dimension exceeds a preset threshold, it indicates a significant anomaly in that dimension and requires special attention.

[0095] S4: Iteratively optimize the difference value data set based on the adaptive genetic algorithm until the algorithm converges and obtains the precise impurity detection parameters;

[0096] Specifically, the adaptive genetic algorithm is an intelligent optimization algorithm that simulates the genetic and natural selection mechanisms of biological evolution, finding the optimal solution through iterative search. In the impurity detection scenario, this algorithm is used to deeply optimize the difference value dataset to eliminate the influence of factors such as measurement error and environmental interference, thereby improving the accuracy of impurity detection parameters.

[0097] Assume that the initial difference value data set is: particle size distribution difference value: 0.08, concentration change difference value: 0.15, spectral feature difference value: 0.22, dynamic trend difference value: 0.18;

[0098] After 50 generations of iterative optimization, the algorithm converged and the optimal individual parameter combination was obtained as follows: impurity concentration correction coefficient: 0.92, particle size distribution weight: [0.25, 0.6, 0.15], spectral feature threshold: 0.78, dynamic trend smoothing factor: 0.85;

[0099] After using these parameters to correct the initial impurity detection parameters, accurate detection parameters are obtained:

[0100] Impurity type: metal oxide;

[0101] Actual concentration: 0.42% (original detection value is 0.5%);

[0102] Main particle size: 75-120 microns (original test value is 50-100 microns);

[0103] Concentration change trend: increase by 0.03% per hour (the original detection value was 0.05%);

[0104] These precise parameters provide a reliable basis for subsequent impurity removal decisions, such as adjusting the operating parameters of the filter device or arranging targeted equipment maintenance.

[0105] S5: Setting the first-level threshold and the second-level threshold, and performing a comparison operation based on the impurity precision detection parameters and the threshold;

[0106] Specifically, the first and second-level thresholds are set based on equipment operating experience and industry standards. For example, in the chemical industry, for tanks storing corrosive liquids, appropriate threshold values ​​are determined based on historical equipment lifespan data at varying impurity concentrations, the tolerance for level measurement errors, and industry safety regulations for similar liquid impurity levels. The first-level threshold is set at a relatively low value, serving as the boundary for safe impurity levels; the second-level threshold is set at a higher value, representing the critical point at which impurities could have a serious impact on the equipment.

[0107] S51: If the detection parameter is lower than the first level threshold, it is determined that the impurities in the detection area are at a safe level and the normal detection cycle is maintained;

[0108] When the impurity precision detection parameters obtained in step S4, such as impurity concentration and particle size distribution, are all lower than the first-level threshold, the system determines that the impurities in the current detection area will not significantly affect the normal operation and level measurement accuracy of the float intelligent liquid level transmitter. For example, in a certain oil tank level detection scenario, the first-level threshold is set to an impurity concentration of 0.3%. If the current precise detection parameters show an impurity concentration of 0.2%, it is determined that the impurities in the tank are at a safe level. At this time, the equipment operates according to the pre-set regular detection cycle, such as performing basic data collection and simple analysis every 24 hours, to save system resources while continuously monitoring the impurity status.

[0109] S52: If the detection parameter is between the first and second level thresholds, start the ultrasonic excitation detection operation;

[0110] When the impurity precision detection parameter exceeds the first threshold but falls below the second threshold, it indicates that the impurity content within the detection area has begun to affect the accuracy of liquid level measurement or may pose a potential threat to the equipment. For example, if the impurity concentration reaches 0.4% (between the first threshold of 0.3% and the second threshold of 0.6%), the system automatically initiates ultrasonic excitation detection. The ultrasonic component on the top cover 204 begins operation, with the ultrasonic generator 44 transmitting an electrical signal via a conductive line to the ultrasonic probe 42. The ultrasonic probe 42 converts the electrical signal into an ultrasonic wave and transmits it into the first buoy 201. As the ultrasonic wave propagates through the liquid, it interacts with impurity particles, causing reflection and scattering. The system then acquires dynamic variation parameters and instantaneous fluctuation parameters. Using a dynamic time warping algorithm, these parameters are time-series aligned and feature-fused. Further, characteristic parameters of acoustic-optical signal coupling variation are obtained. The impurity detection results are then corrected and updated to more accurately determine the nature, quantity, and distribution of the impurities, providing more detailed data support for subsequent processing.

[0111] S53: If the detection parameter is higher than the second level threshold, the early warning mechanism is triggered and the impurity removal operation is performed.

[0112] Once the impurity detection parameter exceeds the second-level threshold, it indicates that the impurity content in the detection area has reached a high level, seriously threatening the normal operation of the equipment and the accuracy of liquid level measurement, and may even cause equipment failure. For example, if the impurity concentration reaches 0.7%, exceeding the second-level threshold of 0.6%, the system immediately triggers an early warning mechanism. A warning light installed in a conspicuous location on the equipment begins flashing, and an alarm message is sent to the central control room via the network, alerting operators to the equipment anomaly. Simultaneously, the equipment automatically initiates the impurity removal operation. The electromagnets 54 on both sides of the first float 201 are energized, interacting with the magnetic ring 48 on the filter sleeve 46 to control the filter sleeve 46's rise and fall. Its blade-like top edge scrapes impurities from the inner wall of the first float chamber. The filter screen 47 intercepts impurities in the liquid and discharges them through a slot connected to the placement box 208. The ultrasonic component combines high-frequency vibration of the inner wall of the first float 201 to dislodge stubborn impurities, achieving efficient impurity removal, minimizing the risk of impurities to the equipment, and ensuring the stable operation of the liquid level transmitter.

[0113] The basic principles, main features and advantages of the present invention are shown and described above. It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments.

Claims

1. A float intelligent liquid level transmitter, comprising a float body and a transmitter body (11), characterized in that: The buoy body comprises a first buoy (201) and a second buoy (31), wherein the second buoy (31) is installed on one side of the first buoy (201), and the two buoys are connected to each other to form a main body cavity. At the same time, a diaphragm (202) is provided in the first buoy (201), and the main body cavity is divided into a first buoy cavity and a second buoy cavity for storing a pressure transmission medium by the diaphragm (202); The first float chamber is connected to the external tank body through multiple groups of connecting pipes (203); a top cover (204) is provided on the top of the first float (201); an input pipe (205) is provided on one side of the first float (201); the input pipe (205) is connected to the liquid supply device; an ultrasonic component is provided on the top cover (204); the ultrasonic component includes a movable frame (41) and an ultrasonic probe (42); the movable frame (41) is slidably connected to the top cover (204); and the ultrasonic probe (42) is installed on the movable frame (41); The transmitter body (11) is mounted on the top of the second float (31), a torque tube is provided on the transmitter body (11), a float (32) is provided in the second float chamber, a float rod (33) is provided on the float (32), and the float rod (33) is connected to the torque tube; A laser sensor (12) and a processing module for optimizing float impurity detection are provided on the top cover (204), and the laser sensor (12) is electrically connected to the processing module.

2. The intelligent float level transmitter according to claim 1, characterized in that: The top cover (204) is provided with a connecting sleeve (206), a through hole is provided in the connecting sleeve (206), the connecting sleeve (206) is connected with the first float chamber through the through hole, the movable frame (41) is passed through the connecting sleeve (206) and the through hole, a screw assembly is provided on the connecting sleeve (206), the movable frame (41) is slidably connected with the connecting sleeve (206) through the screw assembly, and the movable frame (41) can enter and exit the first float chamber; Both ends of the movable frame (41) are provided with sealing blocks (43), the sealing block (43) at the bottom of the movable frame (41) is clamped in the through hole, and the ultrasonic probe (42) is located in the movable frame (41) and is mounted on the sealing block (43) at the top of the movable frame (41); The ultrasonic component further includes an ultrasonic generator (44). A mounting box (207) is provided on the top cover (204). The ultrasonic generator (44) is mounted in the mounting box (207) and is connected to the ultrasonic probe (42) via a conductive line.

3. The intelligent float level transmitter according to claim 2, characterized in that: A placement box (208) is provided on one side of the first buoy (201), a through slot is provided on the first buoy (201), the placement box (208) is connected to the first buoy cavity through the through slot, a fixing frame (45) is provided below the first buoy (201), the fixing frame (45) is passed through the through slot, and two ends of the fixing frame are respectively located in the placement box (208) and the first buoy (201); A filter sleeve (46) is provided in the first float chamber. The filter sleeve (46) is configured to be tubular and is clamped in the fixed frame (45). The diameter of the filter sleeve (46) is equal to the diameter of the first float chamber. A filter screen (47) is provided in the filter sleeve (46). The top edge of the filter sleeve (46) is configured to be blade-shaped and is in contact with the inner wall of the first float chamber. A lifting sleeve (51) is provided on both sides of the first buoy (201), a base (52) is provided at the bottom of the lifting sleeve (51) to form a lifting cavity, and a connecting pipe (53) is provided on the base (52), wherein one group of the connecting pipes (53) is connected to an external water pump and another group of the connecting pipes (53) through a conduit, and the two groups of the lifting cavities are connected to each other; An electromagnet (54) is provided in the lifting sleeve (51), and the electromagnet (54) is located above the base (52). A magnetic ring (48) is provided on the filter sleeve (46), and the magnetic ring (48) is located between two groups of the electromagnets (54).

4. The intelligent float level transmitter according to claim 3, characterized in that: A connecting pipe (209) is provided on the connecting pipe (203) at the bottom of the first buoy (201), a monitoring pipe (55) is provided on one side of the first buoy (201), one end of the monitoring pipe (55) is connected to the connecting pipe (209), the monitoring pipe (55) is connected to the connecting pipe (203) through the connecting pipe (209), a first electromagnetic valve is provided on the connecting pipe (203), and a second electromagnetic valve is provided on both the connecting pipe (209) and the input pipe (205); A detection block (56) is provided in the monitoring tube (55), two groups of sensing modules (57) capable of sensing the detection block (56) are provided on one side of the monitoring tube (55), two groups of mounting sleeves (58) are provided on the monitoring tube (55), one end of the sensing module (57) is clamped in the mounting sleeve (58), a safety zone is set between the two groups of sensing modules (57), and an early warning zone is set above the sensing module (57) at the top of the monitoring tube (55) and below the sensing module (57) at the bottom; A plurality of support frames (210) are provided on one side of the first buoy (201), and the monitoring tube (55) is clamped on the plurality of support frames (210).

5. The intelligent float level transmitter according to claim 1, characterized in that: A mounting sleeve (34) is provided on the top of the second buoy (31), the transmitter body (11) is mounted on the mounting sleeve (34), one end of the torque tube is passed through the mounting sleeve (34), the mounting sleeve (34) and the second buoy (31) are connected to each other, the buoy rod (33) on the top of the floating cylinder (32) is passed through the mounting sleeve (34), and the connection between the torque tube and the buoy rod (33) is located in the mounting sleeve (34); The second float (31) is provided with a plurality of injection tubes (35), and the liquid level of the pressure transmission medium is lower than the height of the connection between the torque tube and the float rod (33).

6. The intelligent float level transmitter according to claim 5, characterized in that: A support frame (36) is provided on one side of the second buoy (31), and a plurality of support columns (37) are provided on the support frame (36). The transmitter body (11) is provided with a slot corresponding to the support column (37), and one end of the support column (37) is locked in the slot. A mounting bracket (38) is provided at an opening on one side of the second float (31), a pressure sensor (39) is provided in the second float chamber, a mounting groove is provided on the mounting bracket (38), the pressure sensor (39) is clamped in the mounting groove, the pressure sensor (39) faces the diaphragm (202), and the diaphragm (202) can contact the pressure sensor (39).

7. The intelligent float level transmitter according to claim 1, characterized in that: The processing module optimizes the method for detecting impurities in the buoy, including the following steps: S1: Acquire multidimensional basic data parameters and environmental parameters within the detection area, integrate the multidimensional basic data parameters and environmental parameters in chronological order, obtain multiple sets of data records with time stamps, and construct an initial data set based on the multiple sets of data records; S2: Preset the impurity analysis model, perform data feature extraction and correlation analysis based on the initial data set through the impurity analysis model, and obtain the initial impurity detection parameters; S3: Based on the impurity analysis model, the impurity detection parameters are compared in multiple dimensions, and the parameter differences are calculated using the cosine similarity algorithm to obtain a difference value dataset; S4: Iteratively optimize the difference value data set based on the adaptive genetic algorithm until the algorithm converges and obtains the precise impurity detection parameters; S5: Setting the first-level threshold and the second-level threshold, and performing a comparison operation based on the impurity precision detection parameters and the threshold; S51: If the detection parameter is lower than the first level threshold, it is determined that the impurities in the detection area are at a safe level and the normal detection cycle is maintained; S52: If the detection parameter is between the first and second level thresholds, start the ultrasonic excitation detection operation; S53: If the detection parameter is higher than the second level threshold, the early warning mechanism is triggered and the impurity removal operation is performed.

8. The intelligent float level transmitter according to claim 7, characterized in that: Ultrasonic excitation testing operations include: An ultrasonic excitation signal is emitted into the first buoy (201) through an ultrasonic component to obtain dynamic change parameters and instantaneous fluctuation parameters, and time series alignment and feature fusion are performed on the dynamic change parameters and instantaneous fluctuation parameters based on a dynamic time warping algorithm to obtain acoustic-optical signal coupling change characteristic parameters. Based on the acoustic-optical signal coupling change characteristic parameters, impurity precision detection parameters are corrected and updated to form secondary detection result parameters.

9. The intelligent float level transmitter according to claim 8, characterized in that: Based on the dynamic time warping algorithm, the time series alignment and feature fusion of dynamic change parameters and instantaneous fluctuation parameters are performed, including the following steps: The dynamic change parameters and instantaneous fluctuation parameters are constructed as time series matrices respectively. Based on the Euclidean distance as the similarity metric, the optimal path is calculated by the dynamic programming algorithm to align the time series. After alignment, wavelet transform is performed based on the dynamic change parameters and instantaneous fluctuation parameters to decompose them into parameters of different frequency components. Energy characteristic parameters and peak parameters are extracted based on the same frequency component parameters, and the energy characteristic values ​​and peak characteristic values ​​are weighted and multiplied to obtain the characteristic parameters of the acoustic-optical signal coupling change.

10. The intelligent float level transmitter according to claim 7, characterized in that: Step S1 also includes: The detection area is represented as the space inside the first buoy (201); The multi-dimensional basic data parameters and environmental parameters are represented as parameters acquired by the laser sensor (12) when the first buoy (201) is connected to the external tank body and liquid exists inside.

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