Float intelligent liquid level transmitter

Abstract

The invention provides a buoy intelligent liquid level transmitter, and belongs to the field of liquid level measurement. Comprising a buoy body and a transmitter body, the buoy body comprises a first buoy and a second buoy, a diaphragm separation cavity is arranged in the buoy body, a connecting pipe, a top cover, an input pipe and other components are further arranged, an ultrasonic assembly, a laser sensor and a processing module are arranged on the top cover, and the transmitter body is installed at the top of the second buoy and provided with a torque tube. A floating cylinder and a floating cylinder rod thereof are arranged in the second floating cavity and connected with the torque tube. According to the transmitter, an excitation signal is transmitted through the ultrasonic assembly to detect impurities, multi-dimensional data are obtained by combining with the laser sensor, and the impurity detection process is optimized by applying a self-adaptive genetic algorithm and the like through the processing module. The diaphragm divides the first buoy into a double-cavity structure, interference of impurities on core components is reduced in cooperation with the second buoy, meanwhile, impurity cleaning is achieved through structures such as the filtering sleeve, and therefore the liquid level measurement accuracy is effectively improved, and accurate liquid level measurement and efficient impurity detection treatment are achieved.

Description

Technical Field

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

[0002] As a device for measuring liquid level in industrial process control, the buoyancy intelligent liquid level transmitter is widely used in industries such as petrochemical, energy and power, pharmaceutical and food, etc., to monitor the liquid level height in containers such as storage tanks and reactors in real time, and provide key data support for the safe and stable operation of the production process and material management. During the use of the buoy, the measured liquid often contains impurities, and these impurities are likely to adhere to the inner wall of the buoy over a long time. However, there is no effective impurity treatment structure in the buoy of the traditional liquid level transmitter, and over a long time of use, impurities are likely to accumulate inside the buoy, which will not only affect the accuracy of liquid level measurement, but also may hinder the movement of the buoy, shortening the service life of the equipment. At the same time, in terms of impurity detection, a single sensor is often used, making it difficult to accurately identify and quantitatively analyze impurities in a complex environment, and unable 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 buoyancy intelligent liquid level transmitter to solve the technical problems in the prior art that the buoy of the traditional liquid level transmitter lacks an impurity treatment structure, which is likely to lead to inaccurate measurement and equipment failure, and the impurity detection means is single, making it difficult to accurately identify and adjust the strategy, resulting in insufficient stability and reliability of the detection.

[0004] The purpose and effect of a buoyancy intelligent liquid level transmitter of the present invention are achieved by the following specific technical means: A buoyancy intelligent liquid level transmitter includes a buoy main body and a transmitter main body. The buoy main body includes a first buoy and a second buoy. The second buoy is installed on one side of the first buoy, and a main body cavity is formed by mutual penetration between the two. At the same time, a diaphragm is arranged inside the first buoy, and the main body cavity is divided into a first floating cavity and a second floating cavity for storing a pressure transmission medium through the diaphragm. The first floating cavity is communicated with an external tank through a plurality of connecting pipes. A top cover is arranged on the top of the first buoy, and an input pipe is arranged on one side of the first buoy. The input pipe is connected to a liquid supply device. An ultrasonic component is arranged on the top cover. The ultrasonic component includes a moving frame and an ultrasonic probe. The moving frame is slidably connected to the top cover, and the ultrasonic probe is installed on the moving frame. The transmitter main body is installed on the top of the second buoy. A torsion tube is arranged on the transmitter main body. A floating cylinder is arranged inside the second floating cavity. The floating cylinder has a floating cylinder rod, and the floating cylinder rod is connected to the torsion tube.

[0005] A laser sensor and a processing module for optimizing the detection of impurities in the buoy are provided on the top cover, and the laser sensor is electrically connected to the processing module.

[0006] According to a preferred embodiment, a connecting sleeve is provided on the top cover. A through hole is formed in the connecting sleeve, and the connecting sleeve communicates with the first floating cavity through the through hole. The moving frame is inserted into the connecting sleeve and the through hole. A lead screw assembly is provided on the connecting sleeve, and the moving frame is slidably connected to the connecting sleeve through the lead screw assembly. The moving frame can enter and exit the first floating cavity. Sealing blocks are provided at both ends of the moving frame. The sealing block at the bottom of the moving frame is clamped in the through hole. The ultrasonic probe is located inside the moving frame and is installed on the sealing block at the top of the moving frame. The ultrasonic component further includes an ultrasonic generator. An installation box is provided on the top cover. The ultrasonic generator is installed in the installation box and is connected to the ultrasonic probe through a transmission wire.

[0007] According to a preferred embodiment, a placement box is provided on one side of the first buoy. A through groove is formed in the first buoy. The placement box communicates with the first floating cavity through the through groove. A fixed frame is provided below the first buoy. The fixed frame is inserted into the through groove, and both ends are respectively located inside the placement box and the first buoy. A filter sleeve is provided in the first floating cavity. The filter sleeve is tubular and is clamped in the fixed frame. The diameter of the filter sleeve is equal to the diameter of the first floating cavity. A filter net is provided inside the filter sleeve. The top edge of the filter sleeve is blade-shaped and contacts the inner wall of the first floating cavity. Lifting sleeves are 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 the other group of the connecting pipes through a conduit. The two lifting cavities communicate with each other. An electromagnet is provided inside the lifting sleeve. The electromagnet is located above the base. A magnetic attraction ring is provided on the filter sleeve. The magnetic attraction ring is located between the two electromagnets.

[0008] 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 communicates with the connecting pipe through the connecting pipe. A first solenoid valve is provided on the connecting pipe. Second solenoid valves are provided on both the connecting pipe and the input pipe. A detection block is arranged inside the monitoring tube. Two groups of induction modules capable of sensing the detection block are arranged on one side of the monitoring tube. Two groups of mounting sleeves are arranged on the monitoring tube. One end of the induction module is clamped inside the mounting sleeve. A safety area is arranged between the two groups of induction modules. The area above the induction module at the top of the monitoring tube and the area below the induction module at the bottom are set as warning areas; A plurality of support frames are arranged on one side of the first floating cylinder. The monitoring tube is clamped on the plurality of support frames.

[0009] According to a preferred embodiment, a fitting sleeve is arranged on the top of the second floating cylinder. The transmitter body is installed on the fitting sleeve. One end of the torsion tube passes through the fitting sleeve. The fitting sleeve and the second floating cylinder communicate with each other. The floating rod at the top of the floating cylinder passes through the fitting sleeve. The connection between the torsion tube and the floating rod is located inside the fitting sleeve; A plurality of injection tubes are arranged on the second floating cylinder. The liquid level height of the pressure transmission medium is lower than the connection height between the torsion tube and the floating rod.

[0010] According to a preferred embodiment, a support frame is arranged on one side of the second floating cylinder. A plurality of support columns are arranged on the support frame. The transmitter body is provided with a card slot corresponding to the support column. One end of the support column is clamped inside the card slot; An installation bracket is arranged at the opening on one side of the second floating cylinder. A pressure sensor is arranged inside the second floating cavity. An installation slot is arranged on the installation bracket. The pressure sensor is clamped inside the installation slot. The pressure sensor faces the diaphragm. The diaphragm can contact the pressure sensor.

[0011] According to a preferred embodiment, the processing module's optimization method for detecting impurities in the floating cylinder includes the following steps: S1: Obtain multi-dimensional basic data parameters and environmental parameters in the detection area. Based on the multi-dimensional basic data parameters and environmental parameters, integrate them in chronological order to obtain multiple groups of data records with time stamps. Based on the multiple groups of data records, form an initial data set; S2: Preset an impurity analysis model. Based on the initial data set, perform data feature extraction and correlation analysis through the impurity analysis model to obtain initial impurity detection parameters; S3: Based on the impurity analysis model, perform multi-dimensional comparison of the impurity detection parameters. Calculate the parameter differences through the cosine similarity algorithm to obtain a difference value data set; S4: Based on the adaptive genetic algorithm, perform iterative optimization on the difference value data set until the algorithm converges to obtain accurate impurity detection parameters; S5: Set a first-level threshold and a second-level threshold, and perform a comparison operation based on the accurate impurity detection parameters and the thresholds; 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 regular detection cycle is maintained; S52: If the detection parameter is between the first level and the second level threshold, 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.

[0012] According to a preferred embodiment, the ultrasonic excitation detection operation includes: An ultrasonic excitation signal is emitted into the first buoy through the ultrasonic component to obtain dynamic change parameters and instantaneous fluctuation parameters. The dynamic change parameters and instantaneous fluctuation parameters are aligned in time series and fused based on the dynamic time warping algorithm to obtain the acoustic-optical signal coupling change characteristic parameters. Based on the acoustic-optical signal coupling change characteristic parameters, the impurity precise detection parameters are corrected and updated to form secondary detection result parameters.

[0013] 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: The dynamic change parameters and instantaneous fluctuation parameters are constructed as time series matrices respectively, and the Euclidean distance is used as the similarity measure. The optimal path is calculated through the dynamic programming algorithm to align the time series. After alignment, wavelet transform is performed based on the dynamic change parameters and the 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 value and the peak characteristic value are weighted multiplied to obtain the characteristic parameters of the acoustic-optical signal coupling change.

[0014] According to a preferred embodiment, step S1 further includes: The detection area is represented as the space inside the first buoy; The multi-dimensional basic data parameters and environmental parameters are represented by the parameters acquired by the laser sensor when the first buoy is connected to the external tank and there is liquid inside.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The space between the first float and the second float in this liquid level transmitter is a double-chamber structure. With the cooperation of the diaphragm, the first float chamber and the second float chamber for storing the pressure transmission medium are formed, separating the liquid to be measured from the core measurement components, avoiding direct contact between impurities and key structures such as the floating cylinder and the torsion tube, and reducing the interference of impurities on the measurement system at the source. At the same time, a filter sleeve is arranged in the first float chamber. The blade-shaped top edge of the filter sleeve can effectively scrape off the impurities attached to the inner wall of the first float chamber. Combined with the lifting mechanism composed of an electromagnet and a magnetic ring, it can realize the automatic lifting and cleaning of the filter sleeve, preventing the filter screen from being blocked. Cooperating with the ultrasonic excitation signal emitted by the ultrasonic component, the inner wall of the first float can be subjected to high-frequency vibration, causing stubborn impurities to fall off and further improving the impurity cleaning effect. This multi-effect collaborative impurity treatment method not only significantly improves the accuracy of liquid level measurement, but also greatly reduces the risk of the floating cylinder being blocked by impurity accumulation, extends the service life of the equipment, and reduces the frequency and cost of equipment maintenance.

[0016] 2. The collaborative work of the laser sensor and the processing module can quickly and accurately extract impurity characteristics and analyze their correlation relationships by obtaining multi-dimensional basic data parameters and environmental parameters and combining with an impurity analysis model based on deep learning, so as to obtain initial impurity detection parameters. On this basis, advanced algorithms such as the adaptive genetic algorithm and the dynamic time warping algorithm 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 signal under ultrasonic excitation to obtain the characteristic parameters of the coupled change of the acoustic-optical signal, further correcting and updating the impurity detection result, and realizing the accurate identification and quantitative analysis of impurities in a complex environment. In addition, by setting multi-level thresholds to judge the detection results, the detection strategy can be adjusted in a timely and automatic manner according to the impurity situation, such as starting the ultrasonic excitation detection operation or triggering the early warning and impurity removal operation, effectively improving the stability and reliability of the detection results, providing a strong technical guarantee for the accurate liquid level measurement and material management in the industrial production process, and meeting the production requirements of modern industrial intelligence and high precision. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is the structural schematic diagram of the present invention after assembly; Figure 2 is the structural schematic diagram of the present invention after expansion; Figure 3 is the structural schematic diagram of the ultrasonic component after expansion; Figure 4 is the structural schematic diagram of the fixed frame and the isolation sleeve after expansion; Figure 5 is the sectional view of the present invention; Figure 6 is the structural schematic diagram of the first float; Figure 7 isFigure 2 Partial enlarged view of area a; Figure 8 It is a schematic block diagram of the controller; Figure 9 It is a flowchart of the steps of the optimization method for the detection of impurities in the buoy by the processing module.

[0018] In the figure, the corresponding relationship between the component names and the attached reference numerals is as follows: 11. Transmitter body; 12. Laser sensor; 201. First buoy; 202. Diaphragm; 203. Connecting pipe; 204. Top cover; 205. Input pipe; 206. Connecting sleeve; 207. Installation box; 208. Placing box; 209. Connecting pipe; 210. Support frame; 31. Second buoy; 32. Floating cylinder; 33. Buoy rod; 34. Fitting sleeve; 35. Injection pipe; 36. Support frame; 37. Support column; 38. Installation bracket; 39. Pressure sensor; 41. Moving frame; 42. Ultrasonic probe; 43. Sealing block; 44. Ultrasonic generator; 45. Fixed frame; 46. Filter sleeve; 47. Filter net; 48. Magnetic attraction ring; 51. Lifting sleeve; 52. Base; 53. Connecting pipe; 54. Electromagnet; 55. Monitoring pipe; 56. Detection block; 57. Induction module; 58. Installation sleeve. Specific embodiments

[0019] The following further describes in detail the embodiments of the present invention in conjunction with the drawings and embodiments. The following embodiments are used to illustrate the technical solutions of the present invention, but cannot be used to limit the protection scope of the present invention.

[0020] Embodiment: As Figures 1 to 9 shown, the present invention provides a buoy intelligent liquid level transmitter, which is composed of a buoy main body and a transmitter body 11. The first buoy 201 and the second buoy 31 are installed adjacent to each other left and right, and the two are mutually communicated to form a main body cavity. The diaphragm 202 in the first buoy 201 divides the main body cavity into a first floating cavity and a second floating cavity. The first floating cavity is communicated with the external tank body through a plurality of groups of connecting pipes 203, so that the liquid in the tank body can smoothly flow into the first floating cavity, and its function is to directly receive and accommodate the measured liquid. The second floating cavity is used to store the pressure transmission medium. This double-cavity structure design separates the part directly contacting the measured liquid from the core measuring component, reducing the influence of impurities in the liquid on the measuring system.

[0021] At the top of the first buoy 201, there is a top cover 204. The input pipe 205 on one side of it is connected to the liquid supply device, which can supplement liquid or cleaning liquid into the first floating cavity as needed. The ultrasonic component on the top cover 204 consists of a moving frame 41 and an ultrasonic probe 42. The moving frame 41 is slidably connected to the top cover 204 and can drive the ultrasonic probe 42 to move in the first floating cavity. When it is necessary to clean the inner wall of the first floating cavity, the ultrasonic probe 42 can emit ultrasonic excitation signals and also utilize the high-frequency vibration of the ultrasonic waves to make the stubborn impurities attached to the inner wall of the first floating cavity fall off, facilitating the subsequent treatment of the impurities.

[0022] The transmitter body 11 is installed on the top of the second buoy 31. The torsion tube on it is the core measurement component. The floating cylinder 32 in the second floating cavity is connected to the torsion tube through a floating cylinder rod 33. When the liquid level in the first floating cavity changes, the pressure transmitting medium transmits the pressure to the second floating cavity, causing the buoyancy received by the floating cylinder 32 to change. Furthermore, it drives the floating cylinder rod 33 to make the torsion tube twist, and the liquid level is measured by detecting the twist angle of the torsion tube.

[0023] The laser sensor 12 on the top cover 204 is electrically connected to the processing module. The laser sensor 12 can obtain multi-dimensional basic data parameters and environmental parameters within the detection area. Based on these data, the processing module detects and analyzes the impurities through algorithms such as a preset impurity analysis model, thereby realizing the optimization of the detection of impurities in the buoy and ensuring the accuracy of liquid level measurement. At the same time, the entire intelligent liquid level transmitter of the buoy is connected to an external controller. Through the controller, it can receive the detection data in real time, adjust the operating parameters, and remotely start operations such as ultrasonic excitation and impurity removal to achieve intelligent monitoring and management. The laser sensor 12 can adopt a Keyence LK-G80 laser sensor.

[0024] As Figure 2 、 Figure 3 shown, a connecting sleeve 206 is provided on the top cover 204. A through hole is opened inside it. This through hole serves as a channel between the connecting sleeve 206 and the first floating cavity, enabling the two to communicate with each other. The moving frame 41 is inserted into the connecting sleeve 206 and the through hole. The lead screw assembly provided on the connecting sleeve 206 provides the power and support structure for the sliding of the moving frame 41. Through the operation of the lead screw assembly, the moving frame 41 can slide along the connecting sleeve 206, thereby realizing the action of entering and exiting the first floating cavity. This structure enables the ultrasonic probe 42 to move to different positions within the first floating cavity as needed to perform comprehensive detection and cleaning operations on the inside of the floating cavity.

[0025] Both ends of the movable frame 41 are designed as sealing blocks 43, and the sealing block 43 at the bottom is clamped in the through hole. This structure plays an important sealing role, preventing the liquid or gas in the first floating cavity from leaking out through the through hole, and at the same time avoiding foreign impurities from entering the first floating cavity, ensuring the stability of the internal environment of the floating cavity. The ultrasonic probe 42 is located inside the movable frame 41 and is installed on the sealing block 43 at the top of the movable frame 41. Such an installation method makes the ultrasonic probe 42 more stable during movement, capable of accurately emitting and receiving ultrasonic signals, providing reliable support for subsequent detection and cleaning of the inside of the first floating cavity.

[0026] The ultrasonic component further includes an ultrasonic generator 44. The mounting box 207 provided on the top cover 204 provides a safe and stable installation environment for the ultrasonic generator 44. The ultrasonic generator 44 is installed inside the mounting box 207 and is connected to the ultrasonic probe 42 through a transmission wire. The main function of the ultrasonic generator 44 is to generate high-frequency electrical signals and transmit these electrical signals to the ultrasonic probe 42 through the transmission wire. The ultrasonic probe 42 converts the electrical signals into ultrasonic signals and emits them into the first floating cavity. When the ultrasonic signals encounter impurities or other objects on the inner wall of the first floating cavity, they will be reflected. The reflected ultrasonic signals are received by the ultrasonic probe 42 again and converted into electrical signals and sent back to the ultrasonic generator 44. By analyzing and processing these reflected signals, information about the inside of the first floating cavity, such as the position and quantity of impurities, can be obtained, thereby realizing the detection and monitoring of impurities inside the first floating cavity. When it is necessary to clean the inner wall of the first floating cavity, the ultrasonic generator 44 will generate ultrasonic signals with a specific frequency and intensity. When these ultrasonic signals propagate in the liquid, they will cause violent vibrations of the liquid molecules, generating a strong impact force. This impact force can make the stubborn impurities attached to the inner wall of the first floating cavity fall off, thus achieving the purpose of cleaning. By controlling the working parameters of the ultrasonic generator 44, the frequency and intensity of the ultrasonic waves can be adjusted to adapt to the cleaning requirements of different types and degrees of impurities; the ultrasonic generator 44 can adopt the Fischer FUS-3000 ultrasonic generator.

[0027] As Figure 2 、 Figure 4 As shown in the figure, a placement box 208 is provided on one side of the first floating cylinder 201, and the two are interconnected through a through groove opened on the first floating cylinder 201. The main function of the placement box 208 is to collect and temporarily store the impurities cleaned from the first floating cavity. The fixed frame 45 provided below the first floating cylinder 201 passes through the through groove, and its two ends are respectively located inside the placement box 208 and the first floating cylinder 201, providing a stable support structure for the filter sleeve 46, ensuring that the filter sleeve 46 can be accurately installed and operate inside the first floating cavity.

[0028] The filter sleeve 46 disposed in the first floating chamber is a tubular structure, with its diameter equal to that of the first floating chamber, and it is clamped within the fixed frame 45. This structure enables the filter sleeve 46 to fully cover the cross-section of the first floating chamber, effectively intercepting impurities in the liquid. The filter screen 47 disposed within the filter sleeve 46 further filters the liquid, preventing larger particle impurities from passing through, thereby reducing the impact of impurities on the subsequent measurement system. The top edge of the filter sleeve 46 is set to be blade-shaped and contacts the inner wall of the first floating chamber. When the filter sleeve 46 moves up and down within the first floating chamber, the blade-shaped edge can scrape off the impurities adhering to the inner wall of the first floating chamber, separating these impurities from the inner wall for subsequent cleaning.

[0029] Lifting sleeves 51 are provided on both sides of the first floating cylinder 201. The base 52 at the bottom of the lifting sleeve 51 and the lifting sleeve 51 together form a lifting chamber. The connecting pipe 53 provided on the base 52, one group of the connecting pipes 53 is connected to an external water pump and the other group of connecting pipes 53 through a conduit respectively, so that the two lifting chambers communicate with each other. Through the action of the external water pump, the flow and pressure change of the liquid in the lifting chamber can be controlled, providing power for the lifting of the filter sleeve 46.

[0030] The electromagnet 54 disposed within the lifting sleeve 51 is located above the base 52, and the magnetic attraction ring 48 disposed on the filter sleeve 46 is located between the two electromagnets 54. When the electromagnet 54 is energized, a magnetic field will be generated, interacting with the magnetic attraction ring 48, thereby realizing the lifting control of the filter sleeve 46. Specifically, when it is necessary to lift the filter sleeve 46, the upper electromagnet 54 is energized to generate a magnetic field that attracts the magnetic attraction ring 48, causing the filter sleeve 46 to move upward; when it is necessary to lower the filter sleeve 46, the lower electromagnet 54 is energized to generate a magnetic field that attracts the magnetic attraction ring 48, causing the filter sleeve 46 to move downward. This lifting control method realized through the electromagnet 54 and the magnetic attraction 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 floating chamber.

[0031] During the actual working process, when it is necessary to clean the first floating chamber, first, through the cooperation of the external water pump and the connecting pipe 53, the liquid pressure in the lifting chamber is adjusted to provide preliminary power for the lifting of the filter sleeve 46. Then, by controlling the energized state of the electromagnet 54, the lifting movement of the filter sleeve 46 is precisely controlled. During the lifting process of the filter sleeve 46, its blade-shaped top edge will scrape off the impurities on the inner wall of the first floating chamber, and these impurities will enter the interior of the filter sleeve 46 along with the flow of the liquid and be intercepted by the filter screen 47. As the filtering process progresses, impurities will gradually accumulate within the filter sleeve 46. When the accumulation reaches a certain level, by further controlling the lifting position of the filter sleeve 46, the filter sleeve 46 can be moved to the through slot position, enabling the impurities to enter the placement box 208 through the through slot for collection.

[0032] A connecting pipe 203 at the bottom of the first buoy 201 is provided with a connecting-through pipe 209. A monitoring pipe 55 is arranged on one side of the first buoy 201. One end of the monitoring pipe 55 is connected to the connecting-through pipe 209, thereby forming a through structure with the connecting pipe 203. A first solenoid valve installed on the connecting pipe 203 can control the liquid flow between the first buoy 201 and the external tank body. When the first solenoid valve is opened, the liquid in the external tank body can flow into the first buoy 201 through the connecting pipe 203; when it is closed, the liquid flow is blocked. Second solenoid valves are equipped on both the connecting-through pipe 209 and the input pipe 205. The second solenoid valves are used to regulate the opening and closing of specific channels. By cooperating with the first solenoid valve, different functions such as liquid diversion and cleaning liquid injection can be achieved. For example, when it is necessary to detect or maintain the inside of the first buoy 201, the first solenoid valve on the connecting pipe 203 can be closed, and the second solenoid valve of the input pipe 205 can be opened to introduce the cleaning liquid to flush the inside.

[0033] As Figure 2 、 Figure 7 shown, a detection block 56 is placed in the monitoring pipe 55. Two groups of induction modules 57 are provided on one side of the monitoring pipe 55. One end of these induction modules 57 is fixed by being snapped into the mounting sleeve 58. The area between the two groups of induction modules 57 is set as the safety zone, while the area above the induction module 57 at the top of the monitoring pipe 55 and below the induction module 57 at the bottom is the warning zone. When the liquid flows from the connecting pipe 203 through the connecting-through pipe 209 into the monitoring pipe 55, the detection block 56 will flow along with the liquid. If the impurity content in the liquid is normal, the detection block 56 moves within the safety zone, and the induction module 57 continuously monitors its position; once the liquid impurities increase, the flow rate changes, or abnormal fluctuations occur, the detection block 56 may deviate from the safety zone and enter the warning zone. At this time, the induction module 57 senses the position change of the detection block 56 and feeds back a signal to the system, indicating that there may be excessive impurities or other abnormal conditions; the induction module 57 can adopt the NI15-EM30-Y1X-H1141 inductive proximity switch.

[0034] A plurality of groups of support frames 210 arranged on one side of the first buoy 201 play a role in supporting and fixing the monitoring pipe 55. The support frames 210 firmly clamp the monitoring pipe 55, ensuring that the monitoring pipe 55 maintains a stable position during long-term use, avoiding displacement or shaking due to factors such as liquid flow impact and equipment vibration, and ensuring the accurate relative position between the detection block 56 and the induction module 57 in the monitoring pipe 55, so that the monitoring process can proceed continuously and stably, providing a reliable basis for judging the liquid impurity condition inside the first buoy 201.

[0035] At the top of the second float 31, there is a fitting sleeve 34, which is a key component connecting the transmitter body 11 and the second float 31. The transmitter body 11 is installed on the fitting sleeve 34, providing signal conversion and output functions for the entire liquid level measurement. One end of the torsion tube penetrates into the fitting sleeve 34. As the core sensing component of the liquid level measurement, it can convert mechanical displacement into measurable signals. The fitting sleeve 34 and the second float 31 are mutually penetrated, so that the internal space of the second float 31 is connected to the fitting sleeve 34. The float rod 33 at the top of the floating cylinder 32 also penetrates into the fitting sleeve 34, and the connection part between the torsion tube and the float rod 33 is located inside the fitting sleeve 34. Such a structural arrangement enables the floating cylinder 32 to drive the torsion tube to generate corresponding deformations when floating up and down in the second float 31 with the change of the liquid level, thereby realizing the measurement of the liquid level.

[0036] Multiple groups of injection pipes 35 are arranged on the second float 31. These injection pipes 35 are used to inject or supplement the pressure transmission medium into the second float 31. The pressure transmission medium plays a role in transmitting pressure in the second float 31, transmitting the pressure generated by the liquid level change in the first float 201 to the floating cylinder 32. And the liquid level height of the pressure transmission medium is lower than the connection part height between the torsion tube and the float rod 33. This liquid level setting can prevent the pressure transmission medium from entering the connection part between the torsion tube and the float rod 33, avoiding corrosion of the connection part by the pressure transmission medium or affecting its normal operation, ensuring the stability and reliability of the connection structure of the torsion tube and the float rod 33, and thus ensuring the continuous and effective progress of the liquid level measurement.

[0037] On one side of the second float 31, there is a support frame 36, whose function is to provide a stable support foundation 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 card slots opened on the transmitter body 11. One end of the support column 37 is snapped into the card slot, so that the transmitter body 11 can be reliably fixed on the second float 31. During the operation of the equipment, the cooperation between the support column 37 and the card slot can effectively share the weight of the transmitter body 11, and at the same time resist the external forces brought by factors such as liquid level fluctuations and equipment vibrations, preventing the transmitter body 11 from shifting or shaking and ensuring its stable operation.

[0038] The mounting bracket 38 provided at the opening on one side of the second buoy 31 undertakes the function of mounting the pressure sensor 39. The mounting groove provided on the mounting bracket 38 provides a positioning and mounting space for the pressure sensor 39. After the pressure sensor 39 is snapped into the mounting groove, it can maintain a fixed position and orientation. The pressure sensor 39 is arranged facing the diaphragm 202. When the liquid level in the first buoy 201 changes, the pressure is transmitted to the diaphragm 202 in the second buoy 31 through the pressure transmission medium, causing the diaphragm 202 to deform and contact the pressure sensor 39. The pressure sensor 39 can sense the pressure change transmitted by the diaphragm 202 in real time and convert it into an electrical signal for output. These signals can be used as auxiliary data for liquid level measurement to corroborate the measurement results of the torsion tube, further improving the reliability of liquid level measurement. At the same time, the setting of the pressure sensor 39 also helps to monitor the pressure state of the pressure transmission medium and detect abnormal situations in a timely manner, such as problems like pressure transmission medium leakage or blockage. The pressure sensor 39 can adopt the Honeywell STG800 pressure sensor.

[0039] As Figure 2 、 Figure 8 、 Figure 9 shown, the processing module's optimization method for buoy impurity detection includes the following steps: S1: Obtain the multi-dimensional basic data parameters and environmental parameters within the detection area. Based on the multi-dimensional basic data parameters and environmental parameters, integrate them in chronological order to obtain multiple groups of data records with time stamps, and form an initial data set based on the multiple groups of data records; Specifically, the detection area is the space inside the first buoy 201, and this area is directly connected to the external tank body through the connecting pipe 203. When the liquid in the external tank flows into the first buoy 201, the impurities carried in it also enter the detection area, which becomes the core working space for impurity detection.

[0040] The multi-dimensional basic data parameters and environmental parameters are mainly obtained by the laser sensor 12 on the top cover 204. The laser sensor 12 is connected to the top cover 204 at the top of the first buoy 201, and its working principle is to emit a laser beam into the first buoy 201. When the laser beam propagates in the first buoy 201, it will interact with the liquid and the impurities in it. On the one hand, when the laser beam encounters impurity particles in the liquid, phenomena such as reflection and scattering will occur. The laser sensor 12 receives these reflected and scattered laser signals, and based on data such as the intensity and wavelength shift of the signals, multi-dimensional basic data parameters such as the size, quantity, and distribution density of the impurities can be obtained. For example, larger impurity particles will enhance the intensity of the reflected signal, and impurities of different materials will cause specific wavelength shifts.

[0041] On the other hand, the liquid environmental parameters inside the first buoy 201 are also monitored by the laser sensor 12. Changes in the temperature and concentration of the liquid will cause changes in its refractive index, which in turn affects the laser propagation path and signal characteristics. By analyzing the subtle changes in the laser signal, the laser sensor 12 can obtain environmental parameters such as the liquid temperature and concentration. At the same time, the fluid flow state inside the first buoy 201 will also affect the laser signal. Changes in the flow rate will cause a Doppler frequency shift in the reflected signal, and the laser sensor 12 obtains parameters such as the fluid flow rate based on this.

[0042] The system will add a time stamp to the multi-dimensional basic data parameters and environmental parameters obtained at each sampling moment to form a complete data record. As time goes by, the above data collection process is continuously repeated, thus accumulating multiple groups of data records with time stamps. These data records are arranged and integrated in chronological order, and finally constitute the initial data set for subsequent impurity analysis. This data set contains the dynamic information of impurity characteristics and environmental conditions during the liquid level change process, laying a foundation for subsequent data feature extraction and correlation analysis through a preset impurity analysis model.

[0043] S2: Preset an impurity analysis model, and perform data feature extraction and correlation analysis through the impurity analysis model based on the initial data set to obtain initial impurity detection parameters; Specifically, the impurity analysis model is constructed based on a deep learning algorithm and is formed through learning and training on a large amount of historical impurity detection data. These historical data contain multi-dimensional characteristic parameters of different impurities under different working conditions and their corresponding actual detection results. In the model training stage, a supervised learning method is adopted, taking the impurity characteristic parameters in the historical data as input and the actual detection results as output. By continuously adjusting the weight parameters inside the model, the model can learn the internal correlation between impurity characteristics and actual detection results. For example, in the liquid level detection scenario of a certain chemical production process, the historical data may contain signal characteristics of impurity particles with different concentrations and particle sizes under laser scattering, as well as information such as the corresponding impurity types and content levels. By learning these data, the model can identify the distribution laws of different types of impurities in the multi-dimensional feature space.

[0044] After obtaining the initial data set, input the multi-dimensional basic data parameters and environmental parameters in it into the preset impurity analysis model. The model first preprocesses the input data, including operations such as data cleaning and normalization, to eliminate noise and dimensional differences in the data. Then, the model uses a combination of a convolutional neural network and a recurrent neural network for feature extraction. The convolutional neural network can effectively extract spatial features in the data, such as the shape and size distribution of impurity particles; the recurrent neural network is good at processing sequence data and can capture the changing trend of impurity characteristics over time.

[0045] In terms of correlation analysis, the model analyzes the mutual relationships between multi-dimensional basic data parameters. For example, there may be a certain correlation between the impurity particle size distribution obtained by the laser sensor 12 and the concentration change. When it is detected that the number of large particle impurities suddenly increases at a certain moment, the model may find that the liquid flow rate also shows abnormal changes at this time. By analyzing this correlation, the source and nature of the impurities can be judged more accurately.

[0046] The model also considers the influence of environmental parameters on impurity detection. For example, the change in liquid temperature may cause the movement state of impurity particles to change, thereby affecting the characteristics of the laser scattering signal. By learning this correlation in historical data, the model can correct the impurity characteristics according to the current environmental parameters during the actual detection process, improving the detection accuracy.

[0047] After feature extraction and correlation analysis, the impurity analysis model outputs initial impurity detection parameters. These parameters include the type identification result of the impurity, the concentration estimation value, the particle size distribution, and the dynamic change trend of the impurity, etc. For example, the model may output initial impurity detection parameters such as "at the current moment, there are metal impurities in the detection area, the concentration is about 0.5%, the main particle size distribution is between 50-100 microns, and the concentration shows an upward trend", providing a basis for subsequent in-depth optimization and decision-making.

[0048] S3: Based on the impurity analysis model, multi-dimensional comparison of the impurity detection parameters is carried out, and the parameter differences are calculated through the cosine similarity algorithm to obtain a dataset of difference values; Specifically, after the impurity analysis model completes the extraction of the initial impurity detection parameters, it further conducts multi-dimensional comparison and analysis on these parameters. The model is trained based on historical data and can identify the distribution patterns of different types of impurities in the multi-dimensional feature space. For example, for a certain chemical production process, it has been marked in the historical data that metal particle impurities usually show larger particle sizes, higher scattered light intensities, and specific spectral characteristics, while non-metal impurities have smaller particle sizes, lower scattered light intensities, and different spectral distributions. By learning these patterns, the model establishes a characteristic template library for various impurities.

[0049] When the initial impurity detection parameters are obtained, the system makes multi-dimensional comparison of the current parameters with the standard features in the template library. The comparison dimensions include but are not limited to the size distribution of impurity particles, the concentration change trend, the spectral characteristics of scattered light, and the dynamic change law over time, etc. For example, the size distribution of the currently detected impurity particles may show a bimodal characteristic, one peak is around 50 microns, and the other is around 150 microns, while the size distribution of the standard metal impurity template is usually unimodal and concentrated in the range of 100-200 microns.

[0050] 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 the similarity between two vectors by measuring the cosine value of the angle between them. The closer the value is to 1, the more similar they are, and the closer to 0, the greater the difference. Specifically, when calculating, the parameters of each dimension are standardized to form a feature vector. For example: The current parameter vector A = [particle size distribution eigenvalue, concentration change rate, spectral eigenvalue, dynamic change trend value] The standard template vector B = [standard particle size distribution eigenvalue, standard concentration change rate, standard spectral eigenvalue, standard dynamic change trend value] Calculate the cosine similarity of the two vectors: ; The difference value is obtained through obtained.

[0051] These difference values form a difference value dataset, which reflects the deviation degree between the currently detected impurity characteristics and the standard template, providing a quantitative basis for subsequent judgment of impurity types, assessment of impurity hazard levels, and formulation of targeted cleaning strategies. For example, if the difference value of a certain dimension exceeds the preset threshold, it indicates that there is a significant anomaly in this dimension and needs to be focused on.

[0052] S4: Based on the adaptive genetic algorithm, iteratively optimize the difference value dataset until the algorithm converges to obtain accurate impurity detection parameters; Specifically, the adaptive genetic algorithm is an intelligent optimization algorithm that simulates the genetic and natural selection mechanisms in the biological evolution process and searches for 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 errors and environmental interferences, and improve the accuracy of impurity detection parameters.

[0053] Suppose the initial difference value dataset 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; After 50 generations of iterative optimization, the algorithm converges, and the parameter combination of the optimal individual obtained is: 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; After using these parameters to correct the initial impurity detection parameters, the accurate detection parameters are obtained: Impurity type: metal oxide; Actual concentration: 0.42% (the original detected value was 0.5%); Main particle size: 75 - 120 microns (the original detected value was 50 - 100 microns); Concentration change trend: increasing by 0.03% per hour (the original detected value was 0.05%); These precise parameters provide a reliable basis for subsequent impurity cleaning decisions, such as adjusting the operating parameters of the filtration device or arranging targeted equipment maintenance.

[0054] S5: Set the first-level threshold and the second-level threshold, and perform a comparison operation based on the precise impurity detection parameters and the thresholds; Specifically, the setting of the first-level threshold and the second-level threshold is based on the equipment operation experience data and industry standard specifications. Taking the chemical industry as an example, for a tank storing corrosive liquids, by combining the operation life data of the past equipment at different impurity concentrations, the tolerance range of liquid level measurement errors, and the safety regulations on the impurity content of similar liquids in the industry, appropriate threshold values are determined. The first-level threshold is set to a relatively low value as the limit of the impurity safety level; the second-level threshold is set to a higher value, representing the critical value at which impurities may have a serious impact on the equipment.

[0055] S51: If the detection parameters are lower than the first-level threshold, it is determined that the impurities in the detection area are at a safe level, and the regular detection cycle is maintained; When the precise impurity detection parameters obtained through step S4, such as impurity concentration, particle size distribution, etc., are all lower than the first-level threshold, the system determines that the impurities in the current detection area will not have an obvious impact on the normal operation of the buoy intelligent liquid level transmitter and the liquid level measurement accuracy. For example, in a liquid level detection scenario of an oil storage tank, the first-level threshold is set to an impurity concentration of 0.3%. If the current precise detection parameters show that the impurity concentration is 0.2%, it is determined that the impurities in the storage tank are at a safe level. At this time, the equipment operates according to the pre-set regular detection cycle, such as collecting basic data and performing simple analysis every 24 hours, to save system resources while continuously monitoring the impurity condition.

[0056] S52: If the detection parameters are between the first-level and the second-level thresholds, start the ultrasonic excitation detection operation; When the precise impurity detection parameter exceeds the first - level threshold but does not reach the second - level threshold, it means that the impurity content in the detection area has begun to affect the accuracy of liquid - level measurement or may pose a potential threat to the equipment. For example, when the impurity concentration reaches 0.4% (between the first - level threshold of 0.3% and the second - level threshold of 0.6%), the system automatically starts the ultrasonic excitation detection operation. The ultrasonic component on the top cover 204 starts to work. The ultrasonic generator 44 transmits an electrical signal to the ultrasonic probe 42 through a transmission wire. The ultrasonic probe 42 converts the electrical signal into ultrasonic waves and emits them into the first float 201. The ultrasonic waves propagate in the liquid and interact with impurity particles, generating phenomena such as reflection and scattering. The system acquires dynamic change parameters and instantaneous fluctuation parameters, and then based on the dynamic time warping algorithm, performs time - series alignment and feature fusion on these parameters to further obtain the characteristic parameters of the acoustic - optical signal coupling change, correct and update the impurity detection results, so as to more accurately judge the nature, quantity, and distribution of impurities, providing more detailed data support for subsequent processing.

[0057] S53: If the detection parameter is higher than the second - level threshold, trigger the warning mechanism and perform the impurity removal operation.

[0058] Once the precise impurity detection parameter exceeds the second - level threshold, it indicates that the impurity content in the detection area has reached a relatively 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, when the impurity concentration reaches 0.7% exceeding the second - level threshold of 0.6%, the system immediately triggers the warning mechanism. The warning light installed in a conspicuous position of the equipment starts to flash, and at the same time, an alarm message is sent to the central control room through the network to remind the operator that there is an abnormality in the equipment. Meanwhile, the equipment automatically starts the impurity removal operation. The electromagnets 54 on both sides of the first float 201 are energized, interact with the magnetic absorption ring 48 on the filter sleeve 46, control the lifting of the filter sleeve 46, and its blade - shaped top edge scrapes the impurities on the inner wall of the first floating cavity. The filter net 47 intercepts the impurities in the liquid and discharges the impurities through the through - groove connected to the placement box 208. Combined with the ultrasonic component, high - frequency vibration is applied to the inner wall of the first float 201 to make the stubborn impurities fall off, achieving efficient removal of impurities, minimizing the harm of impurities to the equipment, and ensuring the stable operation of the liquid - level transmitter.

[0059] The above shows and describes the basic principles, main features, and advantages of the present invention. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above - mentioned exemplary embodiments.

Claims

1. An intelligent buoyancy liquid level transmitter, comprising a buoyancy main body and a transmitter main body (11), characterized in that: The buoyancy main body includes a first buoy (201) and a second buoy (31). The second buoy (31) is installed on one side of the first buoy (201), and a main body cavity is formed by mutual penetration between the two. At the same time, a diaphragm (202) is arranged in the first buoy (201), and the main body cavity is divided into a first floating cavity and a second floating cavity for storing a pressure transmission medium through the diaphragm (202); The first floating cavity is communicated with an external tank body through a plurality of groups of connecting pipes (203). A top cover (204) is arranged at the top of the first buoy (201), and an input pipe (205) is arranged on one side of the first buoy (201). The input pipe (205) is connected to a liquid supply device. An ultrasonic component is arranged on the top cover (204). The ultrasonic component includes a moving frame (41) and an ultrasonic probe (42). The moving frame (41) is slidably connected to the top cover (204), and the ultrasonic probe (42) is installed on the moving frame (41); The transmitter main body (11) is installed on the top of the second buoy (31). A torsion tube is arranged on the transmitter main body (11). A floating cylinder (32) is arranged in the second floating cavity. The floating cylinder (32) has a floating cylinder rod (33), and the floating cylinder rod (33) is connected to the torsion tube; A laser sensor (12) and a processing module for optimizing the detection of impurities in the buoy are arranged on the top cover (204). The laser sensor (12) is electrically connected to the processing module.

2. The intelligent buoyancy liquid level transmitter according to claim 1, characterized in that: A connecting sleeve (206) is arranged on the top cover (204). A through hole is formed in the connecting sleeve (206). The connecting sleeve (206) is communicated with the first floating cavity through the through hole. The moving frame (41) is arranged in the connecting sleeve (206) and the through hole. A lead screw assembly is arranged on the connecting sleeve (206). The moving frame (41) is slidably connected to the connecting sleeve (206) through the lead screw assembly, and the moving frame (41) can enter and exit the first floating cavity; Sealing blocks (43) are arranged at both ends of the moving frame (41). The sealing block (43) at the bottom of the moving frame (41) is clamped in the through hole. The ultrasonic probe (42) is located in the moving frame (41) and is installed on the sealing block (43) at the top of the moving frame (41); The ultrasonic component further includes an ultrasonic generator (44). An installation box (207) is arranged on the top cover (204). The ultrasonic generator (44) is installed in the installation box (207) and is connected to the ultrasonic probe (42) through a transmission wire.

3. The intelligent buoyancy liquid level transmitter according to claim 2, characterized in that: On one side of the first buoy (201), a placement box (208) is provided. A through groove is formed on the first buoy (201). The placement box (208) communicates with the first floating cavity through the through groove. A fixed frame (45) is arranged below the first buoy (201). The fixed frame (45) passes through the through groove, and both ends are located in the placement box (208) and the first buoy (201) respectively; A filter sleeve (46) is arranged in the first floating cavity. The filter sleeve (46) is tubular and is clamped in the fixed frame (45). The diameter of the filter sleeve (46) is equal to the diameter of the first floating cavity. A filter net (47) is arranged in the filter sleeve (46). The top edge of the filter sleeve (46) is blade-shaped and contacts the inner wall of the first floating cavity; Lifting sleeves (51) are arranged on both sides of the first buoy (201). A base (52) is arranged at the bottom of the lifting sleeve (51) to form a lifting cavity. A connecting pipe (53) is arranged on the base (52). One group of the connecting pipes (53) is connected to an external water pump and the other group of the connecting pipes (53) through a conduit respectively. The two lifting cavities communicate with each other; An electromagnet (54) is arranged in the lifting sleeve (51). The electromagnet (54) is located above the base (52). A magnetic attraction ring (48) is arranged on the filter sleeve (46). The magnetic attraction ring (48) is located between the two electromagnets (54).

4. The intelligent liquid level transmitter of a buoy according to claim 3, wherein: A connecting pipe (209) is arranged on the connecting pipe (203) at the bottom of the first buoy (201). A monitoring pipe (55) is arranged 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) communicates with the connecting pipe (203) through the connecting pipe (209). A first solenoid valve is arranged on the connecting pipe (203). Second solenoid valves are arranged on both the connecting pipe (209) and the input pipe (205); A detection block (56) is arranged in the monitoring pipe (55). Two induction modules (57) capable of sensing the detection block (56) are arranged on one side of the monitoring pipe (55). Two mounting sleeves (58) are arranged on the monitoring pipe (55). One end of the induction module (57) is clamped in the mounting sleeve (58). A safety zone is arranged between the two induction modules (57). Warning zones are arranged above the induction module (57) at the top of the monitoring pipe (55) and below the induction module (57) at the bottom; Multiple groups of support frames (210) are arranged on one side of the first buoy (201). The monitoring pipe (55) is clamped on the multiple groups of support frames (210).

5. The intelligent liquid level transmitter of a buoy according to claim 1, wherein: A fitting sleeve (34) is provided at the top of the second buoy (31). The transmitter body (11) is installed on the fitting sleeve (34). One end of the torsion tube penetrates into the fitting sleeve (34). The fitting sleeve (34) and the second buoy (31) communicate with each other. The buoy rod (33) at the top of the floating buoy (32) penetrates into the fitting sleeve (34). The connection between the torsion tube and the buoy rod (33) is located within the fitting sleeve (34). A plurality of injection tubes (35) are provided on the second buoy (31). The liquid level height of the pressure transmission medium is lower than the connection height between the torsion tube and the buoy rod (33).

6. The intelligent buoy liquid level transmitter according to claim 5, wherein: A support frame (36) is provided on one side of the second buoy (31). A plurality of support columns (37) are provided on the support frame (36). The transmitter body (11) is provided with a card slot corresponding to the support column (37). One end of the support column (37) is clamped in the card slot. An installation bracket (38) is provided at the opening on one side of the second buoy (31). A pressure sensor (39) is provided in the second floating cavity. An installation groove is provided on the installation bracket (38). The pressure sensor (39) is clamped in the installation groove. The pressure sensor (39) faces the diaphragm (202), and the diaphragm (202) can contact the pressure sensor (39).

7. The intelligent buoyancy liquid level transmitter according to claim 1, characterized in that, The processing module's optimization method for buoy impurity detection includes the following steps: S1: Obtain multi-dimensional basic data parameters and environmental parameters in the detection area. Based on the multi-dimensional basic data parameters and environmental parameters, integrate them in chronological order to obtain multiple sets of data records with time stamps. Based on the multiple sets of data records, form an initial data set. S2: Preset an impurity analysis model. Based on the initial data set, perform data feature extraction and correlation analysis through the impurity analysis model to obtain initial impurity detection parameters. S3: Based on the impurity analysis model, perform multi-dimensional comparison of the impurity detection parameters. Calculate the parameter differences through the cosine similarity algorithm to obtain a difference value data set. S4: Based on the adaptive genetic algorithm, perform iterative optimization on the difference value data set until the algorithm converges to obtain accurate impurity detection parameters. S5: Set a first-level threshold and a second-level threshold, and perform a comparison operation based on the accurate impurity detection parameters and the thresholds. 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 conventional detection cycle is maintained. S52: If the detection parameter is between the first-level and second-level thresholds, start the ultrasonic excitation detection operation. S53: If the detection parameter is higher than the second-level threshold, trigger an early warning mechanism and perform an impurity removal operation.

8. The intelligent buoyancy liquid level transmitter according to claim 7, characterized in that, The ultrasonic excitation detection operation includes: An ultrasonic excitation signal is transmitted into the first buoy (201) through an ultrasonic component to obtain dynamic change parameters and instantaneous fluctuation parameters. Based on the dynamic time warping algorithm, time series alignment and feature fusion are performed on the dynamic change parameters and the instantaneous fluctuation parameters to obtain the coupled change characteristic parameters of the acoustic-optical signal. Based on the coupled change characteristic parameters of the acoustic-optical signal, the accurate detection parameters of impurities are corrected and updated to form the secondary detection result parameters.

9. The floating intelligent liquid level transmitter according to claim 8, characterized in that, Performing time series alignment and feature fusion on the dynamic change parameters and the instantaneous fluctuation parameters based on the dynamic time warping algorithm includes the following steps: The dynamic change parameters and the instantaneous fluctuation parameters are respectively constructed into time series matrices. 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 the instantaneous fluctuation parameters and decomposed into different frequency component parameters; based on the same frequency component parameters, energy characteristic parameters and peak parameters are extracted, and the energy characteristic values and the peak characteristic values are multiplied by weighting to obtain the coupled change characteristic parameters of the acoustic-optical signal.

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

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