Intelligent gas valve remote control and early warning system based on Internet of Things

Abstract

The invention discloses an intelligent gas valve remote control and early warning system based on the Internet of Things, and relates to the technical field of valve monitoring. The valve processing module is used for preparing an intelligent valve through 316N stainless steel subjected to grain boundary processing, and a sealing ring, a fiber grating array and a QCM sensor are arranged on the intelligent valve; and the intelligent control module is used for acquiring the strain size of the fiber bragg grating and vulcanized film data through the fiber bragg grating array and the QCM sensor, and determining the lubricant release amount and the current regulation density. Strain of the valve rod is monitored in real time through the fiber bragg grating array, segmented friction force is obtained, and a nano lubricant is automatically released according to the friction force, so that the friction coefficient can be reduced, flexible opening and closing of the valve are ensured, and meanwhile, the surface density change of a vulcanized film is detected through the QCM sensor; and the valve rod is automatically triggered to rotate for self-cleaning or electrolytic polishing treatment, so that corrosion development can be effectively inhibited.

Description

Technical Field

[0001] The present invention relates to the technical field of valve monitoring, and specifically to an intelligent gas valve remote control and early warning system based on the Internet of Things. Background Technique

[0002] With the continuous acceleration of the urbanization process and the continuous improvement of people's living standards, gas, as a clean energy, has been widely used in residential life, commercial activities and industrial production. However, gas has characteristics such as flammability and explosiveness. Once a leakage occurs, it is extremely easy to trigger serious safety accidents such as fires and explosions, posing a great threat to people's lives and property safety. In recent years, due to reasons such as pipeline aging, improper human operation or equipment failure, gas accidents have occurred frequently.

[0003] Traditional gas management systems mainly rely on manual inspections, regular maintenance and on-site manual valve closing, etc. They lack real-time monitoring of the gas usage status, and it is difficult to detect potential hazards in time before an accident occurs and take effective measures. At the same time, after an accident occurs, the gas source cannot be quickly cut off, which will delay the emergency response time and further expand the impact of the disaster.

[0004] With the rapid development of the Internet of Things (IoT), big data, cloud computing, artificial intelligence and wireless communication technologies, by combining sensor technology, edge computing, remote communication and automatic control, functions such as real-time monitoring, abnormal early warning, remote control and data analysis of the gas system can be realized, thereby improving the safety and management efficiency of gas use.

[0005] The Chinese invention patent with the publication number CN115683986A discloses a monitoring system for multi-metal corrosion inhibition of power equipment by the atmospheric environment, including a corrosion acquisition module, a corrosion analysis module and a gas-phase corrosion inhibition module. Before monitoring, the gas-phase corrosion inhibition module comprehensively covers and anti-corrosion sprays the structures of power equipment including metal structural parts and electrical components with a multi-metal gas-phase corrosion inhibitor, so that the power equipment is in the first state. The monitoring system for multi-metal corrosion inhibition of power equipment by the atmospheric environment disclosed in this invention anti-corrosion treats and monitors the structures of power equipment through the corrosion acquisition module, the corrosion analysis module and the gas-phase corrosion inhibition module, thereby ensuring the safe operation of power equipment, and performing three-dimensional visualization on each structure of each power equipment through the background management module, so as to display more intuitively, and it has the advantages of intelligence, convenience in use and good economic effect.

[0006] However, in special scenarios such as chemical industrial parks, when monitoring gas safety, when the concentration of H2S is greater than 5 ppm, it will undergo an electrochemical reaction with the metal components of the stainless steel valve and form a sulfide film with semiconductor characteristics, which will cause the resistivity on the surface of the stainless steel valve to increase, and then induce the galvanic cell effect. At the same time, in Cl -Under the synergistic effect, chromium carbide phases will precipitate at the grain boundaries, resulting in a sharp increase in the valve stem friction and pitting corrosion on the sealing surface, which will further lead to chain failures such as false alarms or mechanical jams. Summary of the Invention

[0007] The purpose of the present invention is to provide an intelligent gas valve remote control and warning system based on the Internet of Things to solve the problems raised in the above background technology.

[0008] To achieve the above purpose, the present invention provides the following technical solutions: An intelligent gas valve remote control and warning system based on the Internet of Things, including: Valve processing module: Prepare an intelligent valve from 316N stainless steel treated by grain boundary, and set a sealing ring, a fiber Bragg grating array and a QCM sensor on the intelligent valve; Intelligent control module: Obtain the fiber Bragg grating strain magnitude and sulfide film data through the fiber Bragg grating array and the QCM sensor, and determine the lubricant release amount and current regulation density, including: SB1: Friction compensation control: Obtain the friction force at different positions on the valve stem according to the fiber Bragg grating strain magnitude, and release nano-lubricant according to the friction force and a preset friction threshold; SB2: Corrosion emergency response: Determine the surface density change of the sulfide film according to the sulfide film data, and perform rotational self-cleaning or electro-polishing treatment on the valve stem according to the surface density change of the sulfide film.

[0009] Furthermore, setting a sealing ring, a fiber Bragg grating array and a QCM sensor on the prepared intelligent valve includes: SA1: Prepare the valve body material: After heat treatment and grain boundary characterization treatment of the intelligent valve, perform plating on the valve stem of the intelligent valve and surface treatment on the sealing surface through magnetron sputtering coating and cemented carbide inlay; SA2: Set the monitoring system: Set axial micro-grooves on the intelligent valve, install fiber Bragg gratings inside the axial micro-grooves, and embed QCM sensors in the sealing cavity of the intelligent valve; SA3: Sealing compensation setting: After compressing the PTFE gasket, perform thermal aging cycle treatment at a temperature of 25°C - 200°C.

[0010] Furthermore, performing plating on the valve stem of the intelligent valve and surface treatment on the sealing surface includes: SA1.1: Substrate treatment: Through solution treatment, aging treatment and stress relief annealing, perform substrate treatment on the valve body blank made of 316N stainless steel after machining; SA1.2: Coating treatment: After the sandblasted valve stem is cleaned, the pretreated valve stem is obtained, and a Cr transition layer and an M0-N-C gradient layer are deposited on the surface of the valve stem; SA1.3: Sealing surface treatment: Three layers are cladded on the sealing surface with WC-10Co powder, and at the same time, the cladded sealing surface is cryogenically treated.

[0011] Furthermore, during the solution treatment, the valve body blank is maintained at a temperature of 1050 °C for at least 1 hour and is quenched with deionized water to obtain a supersaturated solid solution; During the aging treatment, after the supersaturated solid solution is finely ground, it is maintained at a temperature of 750 °C for at least 4 hours, air-cooled to 300 °C, and then slowly cooled with argon to obtain an aged structure containing nanocarbides; During the stress relief annealing process, the aged structure containing nanocarbides is finish-machined, maintained at a temperature of 550 °C for at least 2 hours, furnace-cooled to 300 °C, and then air-cooled to room temperature to obtain a preliminarily treated intelligent valve.

[0012] Furthermore, the gold electrodes of the QCM sensor are subjected to plasma cleaning and Al2O3 deposition treatment. At the same time, a ceramic insulator is installed on the sealing cavity, and the electrodes of the QCM sensor are led out through the ceramic insulator.

[0013] Furthermore, releasing nano lubricant includes: SB1.1: Determining frictional force: According to the spacing between adjacent two fiber Bragg gratings, the valve stem is equally divided, and according to the wavelength shift of the fiber Bragg grating, the segmented frictional force corresponding to each interval is determined. Specifically: ; Where: is the segmented frictional force of the i-th interval, is the comprehensive conversion coefficient, is the wavelength shift of the fiber Bragg grating within the i-th interval, is the wavelength shift of the fiber Bragg grating within the (i + 1)-th interval, is the spacing between adjacent two fiber Bragg gratings; SB1.2: Friction comparison: Through the segmented frictional force, the total frictional force of the valve stem is determined, and the total frictional force is compared with a preset friction threshold. According to the comparison result, nano lubricant is released. Specifically: When the total frictional force is less than the preset friction threshold, no nano lubricant is released; otherwise, the next step SB1.3 is executed, and at the same time, steps SB1.1 and SB1.2 are repeated until the total frictional force is less than the preset friction threshold; SB1.3: Determine the lubricant quantity: Determine the release volume of the nano-lubricant according to the difference between the total frictional force and the preset frictional threshold, specifically: ; Where: is the release volume of the nano-lubricant, is the friction increment coefficient, is the total frictional force, is the preset frictional threshold.

[0014] Further, the acquisition formula of the comprehensive conversion coefficient is specifically: ; Where: is the comprehensive conversion coefficient, is the elastic modulus of the valve stem material, is the friction coefficient between the valve stem and the sealing surface, is the cross-sectional area of the valve stem, is the initial central wavelength of the fiber Bragg grating, is the photoelastic coefficient.

[0015] Further, adjust the release volume of the nano-lubricant according to the actual working environmental temperature of the intelligent valve to determine the release volume after temperature correction, specifically: ;

[0016] Where: is the adjusted release volume of the nano-lubricant, is the release volume of the nano-lubricant, is the working environmental temperature of the valve, is the standard reference temperature.

[0017] Further, perform rotational self-cleaning or electrolytic polishing on the valve stem, including: SB2.1: Determine the corrosion rate: Determine the corrosion rate of the sulfide film according to the surface density of the sulfide film, and at the same time compare the corrosion rate with the preset corrosion threshold range, and determine the corrosion treatment method according to the comparison result, specifically: When the corrosion rate is less than the lower threshold of the preset corrosion threshold, no treatment is performed; when the corrosion rate is within the preset corrosion threshold range, step SB2.2 is executed to perform rotational self-cleaning treatment until the corrosion rate is less than the lower threshold of the preset corrosion threshold; when the corrosion rate is greater than the upper threshold of the preset corrosion threshold, step SB2.3 is executed to perform electrolytic polishing treatment until the corrosion rate is less than the lower threshold of the preset corrosion threshold; SB2.2: Rotating self-cleaning: Connect the top of the valve stem to the harmonic reducer through a coupling, and connect the harmonic reducer to the servo motor. At the same time, adjust the motor current of the servo motor according to the torque fluctuation amount, specifically: ; Where: is the current adjustment amount, is the torque fluctuation amount, is the motor torque constant; SB2.3: Electrolytic polishing treatment: Mix citric acid, NaNO3 and deionized water to obtain an electrolyte solution, set up a three-dimensional flow channel on the intelligent valve, and circulate the electrolyte solution in the three-dimensional flow channel. At the same time, connect the control valve of the electrolyte solution to the PLC controller, and adjust the power output current according to the flow rate of the electrolyte solution, specifically: ; Where: is the effective current density, is the initial set current density, is the real-time electrolyte flow rate, is the standard reference flow rate.

[0018] Furthermore, during the electrolytic polishing process, compare the potential of the working electrode with the preset potential threshold, and adjust the current density in real time according to the comparison result, specifically: When the potential is greater than the preset potential threshold and current fluctuation occurs, replace the working electrode; when the potential is greater than the preset potential threshold and no current fluctuation occurs, reduce the current density through the PLC controller; conversely, when the potential is not greater than the preset potential threshold, do not adjust the current density; Reduce the current density through the PLC controller, specifically: ; Where: is the adjusted current density, is the current current density, is the proportional control coefficient, is the integral control coefficient, is the potential deviation, is the reference potential.

[0019] Compared with the prior art, the beneficial effects of the present invention are: First: The present invention monitors the strain of the valve stem in real time through an optical fiber grating array, obtains segmented frictional forces, and automatically releases nano-lubricant according to the magnitude of the frictional forces, thereby reducing the friction coefficient, ensuring flexible opening and closing of the valve. At the same time, the change in the surface density of the sulfide film is detected by a QCM sensor, and according to the corrosion rate, the valve stem rotation self-cleaning or electro-polishing treatment is automatically triggered, thus effectively inhibiting the development of corrosion; Second: The present invention can dynamically adjust the release amount of nano-lubricant according to the real-time ambient temperature, thereby ensuring the best lubrication effect under different working conditions; Third: The present invention realizes remote control and early warning through the real-time transmission of valve state data and in combination with the PLC control algorithm, thereby significantly reducing the risks of gas leakage and explosion; Fourth: The present invention prepares a valve by using a 316N stainless steel valve body with optimized grain boundaries, and performs a Cr / Mo-N-C gradient coating and a WC-10Co cladding sealing surface on the valve surface, thereby improving the wear resistance and corrosion resistance of the valve, and reducing the maintenance frequency and cost. Description of the Drawings

[0020] Figure 1 is the system block diagram of the intelligent gas valve remote control and early warning system in the present invention; Figure 2 is the valve stem strain distribution diagram in the present invention; Figure 3 is the sulfide film corrosion rate and treatment effect diagram in the present invention; Figure 4 is the temperature adaptive lubrication effect diagram in the present invention. Detailed Embodiments

[0021] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0022] In special scenarios such as chemical industrial parks, when monitoring gas safety, when the concentration of H2S is greater than 5 ppm, it will undergo an electrochemical reaction with the metal components of the stainless steel valve and form a sulfide film with semiconductor characteristics, which will cause the resistivity on the surface of the stainless steel valve to increase, thereby inducing the galvanic cell effect. At the same time, in Cl -Under the synergistic effect, chromium carbide phases will precipitate at the grain boundaries, resulting in a sharp increase in the valve stem friction and pitting corrosion on the sealing surface, which will further lead to chain failures such as false alarms or mechanical jams. The technical solution of this application prepares an intelligent valve with grain boundary-treated 316N stainless steel, and integrates a sealing ring, a fiber Bragg grating array, and a QCM sensor on the intelligent valve. At the same time, the strain of the valve stem is monitored in real time by the fiber Bragg grating to obtain the valve stem friction, and nano-lubricant is automatically released according to the magnitude of the valve stem friction. At the same time, the corrosion data of the sulfide film is detected by the QCM sensor, and the valve stem is rotated for self-cleaning or electrolytic polishing according to the corrosion rate. Thus, through the remote transmission of the valve state data, not only can the dynamic lubrication compensation, corrosion warning, and adaptive maintenance of the gas valve be realized, but also the problems of valve stem jamming and sealing surface corrosion caused by H2S and Cl - in the chemical environment can be solved.

[0023] Example 1 Reference Figures 1-4 , this embodiment provides an Internet of Things-based remote control and warning system for intelligent gas valves. The remote control and warning system for intelligent gas valves includes a valve processing module and an intelligent control module. In this embodiment, the valve processing module is used to use grain boundary-treated 316N stainless steel as the valve body material and prepare an intelligent valve. At the same time, composite sealing treatment and monitoring treatment are performed on the constructed intelligent valve, as follows: Step SA1: Prepare the valve body material. That is, the intelligent valve prepared from 316N stainless steel material is subjected to heat treatment and grain boundary characterization treatment in sequence to obtain the processed intelligent valve. Further, the valve stem of the processed intelligent valve is coated by magnetron sputtering, and the sealing surface of the processed intelligent valve is surface-treated by hard alloy inlay.

[0024] Step SA2: Set up the monitoring system. That is, an axial microgroove is machined on the intelligent valve pretreated in step SA1 by a diamond tool of a ultra-precision CNC machine tool, and the axial microgroove is electrolytically polished. At the same time, the polyimide-coated FBG optical fiber is fixed inside the axial microgroove by a high-temperature adhesive, so as to set up a fiber Bragg grating array inside the valve stem. In this embodiment, the number of axial microgrooves is set to 8, and the groove depth of each axial microgroove is set to 0.5 mm.

[0025] Furthermore, in step SA1, a micro QCM sensor is embedded in the sealed cavity on the pre-treated intelligent valve. Specifically, after the gold electrodes on the QCM sensor are plasma cleaned, 10 nm of Al2O3 is deposited on the surface of the cleaned gold electrodes through an ALD device. At the same time, through high-temperature sintering, a ceramic insulator is installed on the sealed cavity, and the leads of the QCM sensor are led out through the ceramic insulator. It should be noted that a 0.2 mm air gap is also provided at the bottom of the blind hole of the sealed cavity to enhance the vibration response.

[0026] Step SA3: Sealing compensation setting. That is, after the PTFE gasket is compressed by a hydraulic compression mold, thermal aging treatment is cycled under the temperature condition of 25°C - 200°C. Specifically, during the compression process, the compression is qualitatively determined in three compression stages. That is, in the initial pressure stage, the initial pressure is applied at a pressure of 5 MPa and maintained at a temperature of 23°C for at least 5 minutes. In the main pressure stage, the main pressure is applied at a pressure of 15 MPa and maintained at a temperature of 80°C for at least 30 minutes. In the sizing stage, the sizing is performed at a pressure of 8 MPa and maintained at a temperature of 23°C for at least 240 minutes.

[0027] Furthermore, during the thermal aging treatment, the compression-sized PTFE gasket is immersed in the ASTM Oil No. 3 solution, and at the same time, within the temperature range of 25°C - 200°C, cyclic temperature heating treatment is performed, and at least 10 cycles of heat treatment are performed.

[0028] In this embodiment, the intelligent control module is used to obtain the corresponding fiber Bragg grating strain magnitude through the fiber Bragg grating array set in the valve processing module, and obtain the corresponding sulfide film data through the micro QCM sensor set in the valve processing module. At the same time, according to the obtained fiber Bragg grating strain and sulfide film data, the corresponding lubricant release amount and current regulation density are determined. Specifically as follows: Step SB1: Friction compensation control. That is, according to the obtained fiber Bragg grating strain magnitude, the corresponding friction forces at different positions are obtained, so as to determine the corresponding total friction force. At the same time, by comparing the total friction force with a preset friction threshold, WS2@ZrO2 nano-lubricant is released into the valve body microchannel. Specifically as follows: Step SB1.1: Determine the friction force. That is, according to the spacing between adjacent two fiber Bragg gratings, the valve stem is equally divided along the movement direction of the valve stem. That is to say, 8 fiber Bragg gratings are equally spaced in the movement direction of the valve stem, and the valve stem is divided into multiple intervals. At the same time, through the wavelength shift amount of the fiber Bragg grating set in each interval, the corresponding segmented friction force of each interval is determined, specifically: ; Where: is the sectional friction force for the i-th interval, is the comprehensive conversion coefficient, is the wavelength shift of the fiber Bragg grating within the i-th interval, is the wavelength shift of the fiber Bragg grating within the (i + 1)-th interval, is the distance between two adjacent fiber Bragg gratings.

[0029] In the process of specific implementation, the magnitudes of the sectional friction forces corresponding to each interval are shown in Table 1 below, specifically: Table 1: Sectional Friction Force Distribution Table

[0030] Furthermore, based on the sectional friction forces corresponding to each interval, the total friction force of the entire valve stem is determined, specifically: ; where: is the total friction force, is the sectional friction force for the i-th interval, is the total number of intervals, is the interval index.

[0031] In the process of specific implementation, based on the sectional friction forces corresponding to each interval, the total friction force of the entire valve stem is obtained as 5.82 N.

[0032] In this embodiment, the acquisition formula for the comprehensive conversion coefficient is specifically: ; where: is the comprehensive conversion coefficient, is the elastic modulus of the valve stem material, is the valve stem - seal surface friction coefficient, is the cross-sectional area of the valve stem, is the initial center wavelength of the fiber Bragg grating, is the photoelastic coefficient.

[0033] Refer to Figure 2 ,[[]]END]] Figure 2 is the valve stem strain distribution diagram in this embodiment. It can be seen from Figure 2 that: The friction force in the 20 - 40 mm interval of the valve stem is the largest, and the corresponding wavelength shift is the highest. That is to say, the area corresponding to this interval is the most severely corroded by H2S and needs to be lubricated with emphasis. At the same time, the friction forces at both ends of the valve stem (0 - 10 mm and 70 - 80 mm) are relatively low and are the same as the pressure distribution of the sealing ring.

[0034] Step SB1.2: Friction comparison. That is, compare the total friction force obtained in step SB1.1 with a preset friction threshold, and release the nano-lubricant according to the comparison result. Specifically: When the obtained total friction force is less than the preset friction threshold, the nano-lubricant is not released; conversely, when the obtained total friction force is not less than the preset friction threshold, the next step SB1.3 is executed. According to the difference between the total friction force and the preset friction threshold, release the nano-lubricant in a corresponding amount, and at the same time repeat step SB1.1 and step SB1.2 until the obtained total friction force is less than the preset friction threshold.

[0035] Step SB1.3: Determine the lubrication amount. That is, determine the release amount of the nano-lubricant according to the difference between the total friction force and the preset friction threshold. Specifically: ; Where: is the release volume of the nano-lubricant, is the friction increment coefficient, is the total friction force, is the preset friction threshold.

[0036] That is to say, according to the determined release volume of the nano-lubricant, obtain the WS2@ZrO2 nano-lubricant with the same volume from the liquid storage tank through a metering pump. At the same time, micro-nozzles are provided in both the axial direction of the valve stem and the radial direction of the sealing surface of the intelligent valve. That is, through the distribution manifold, the WS2@ZrO2 nano-lubricant is sprayed onto the corresponding axial direction of the valve stem and the radial direction of the sealing surface through the micro-nozzles.

[0037] Specifically, according to the actual working environment temperature of the intelligent valve, the determined release volume of the nano-lubricant is adjusted in real time to determine the release volume after temperature correction. Specifically: ; Where: is the adjusted release volume of the nano-lubricant, is the release volume of the nano-lubricant, is the working environment temperature of the valve, is the standard reference temperature.

[0038] Reference Figure 4 , Figure 4 is the temperature adaptive lubrication effect diagram in this embodiment. It can be seen from Figure 4 that at -10°C, the lubrication amount of the nano-lubricant drops to , and at 80°C, the lubrication amount of the nano-lubricant increases to . That is to say, by dynamically adjusting the lubrication amount, it can be ensured that it is effective under the working conditions of -20°C to 200°C.

[0039] Step SB2: Corrosion emergency response. That is, through the micro QCM sensor, the surface density of the sulfide film is obtained, and according to the change of the surface density of the sulfide film, the valve stem of the intelligent valve is rotationally controlled or electrolytically polished. Specifically as follows: Step SB2.1: Determine the corrosion rate. That is, through the micro QCM sensor, the surface density of the sulfide film is obtained, and according to the surface density of the sulfide film obtained at different times, the corrosion rate of the sulfide film is determined. Specifically: ; Where: is the real-time corrosion rate, is the surface density of the sulfide film at time t, is the time of the surface density of the sulfide film, is the time interval.

[0040] Furthermore, the determined real-time corrosion rate is compared with the preset corrosion threshold range, and according to the comparison result, the corresponding corrosion treatment method is determined. Specifically: When the obtained real-time corrosion rate is less than the lower threshold of the preset corrosion threshold, the sulfide film product generated currently is not processed. When the obtained real-time corrosion rate is within the preset corrosion threshold range, step SB2.2 is executed, and self-cleaning is performed by rotating the valve stem until the obtained real-time corrosion rate is less than the lower threshold of the preset corrosion threshold. When the obtained real-time corrosion rate is greater than the upper threshold of the preset corrosion threshold, step SB2.3 is executed, and electrolytic polishing is performed until the obtained real-time corrosion rate is less than the lower threshold of the preset corrosion threshold.

[0041] Step SB2.2: Rotational self-cleaning. That is, the top of the valve stem is connected to the harmonic reducer through a coupling, and at the same time, the harmonic reducer is connected to the servo motor. That is to say, the running speed of the intelligent valve can be regulated through the servo motor. Specifically, through the rotation regulation of the servo motor, the sulfide film on the surface of the valve stem thread can be peeled off, and the sulfide film on the sealing surface can also be scraped off through the cemented carbide sealing ring.

[0042] Furthermore, during the rotational self-cleaning process, the motor current of the servo motor can be adjusted in real time according to the torque fluctuation amount. Specifically: ; Where: is the current adjustment amount, is the torque fluctuation amount, is the motor torque constant.

[0043] During the specific implementation process, the initial current magnitude is 1.2 A, the initial torque is 190 N·m. Further, the torque fluctuation amount is 0.1 N·m, then the corresponding current adjustment amount is 0.33 A, so the adjusted current magnitude is 1.53 A.

[0044] Step SB2.3: Electrochemical polishing treatment. That is, citric acid, NaNO3, and deionized water with a concentration ratio of 5:3:92 are mixed to obtain the corresponding electrolyte solution. At the same time, a three-dimensional flow channel is set on the intelligent valve, which includes an annular distribution cavity, an axial microchannel, a radial injection hole, and a spiral collection groove. Specifically, the obtained electrolyte solution is circulated through the three-dimensional flow channel on the intelligent valve. Further, the titanium clamp of the working electrode, i.e., the valve body, is bite-connected to the valve stem conductive groove through a quick-release joint, the cathode mesh is fixed to the flange bolt hole of the valve through a telescopic bracket, and the reference electrode is magnetically installed at the maintenance port.

[0045] In this embodiment, after the intelligent valve is sandblasted with Al2O3 sand, it is ultrasonically cleaned with acetone, absolute ethanol, and deionized water for 10 minutes respectively, then immersed in a 10% H2SO4 solution for 30 seconds, and rinsed with deionized water to obtain the pretreated intelligent valve.

[0046] Further, the control valve of the electrolyte solution is connected to the PLC controller. That is to say, through the PLC controller, the flow rate of the electrolyte solution can be adjusted, namely, the electrochemical polishing treatment is carried out. Specifically, according to the flow rate of the electrolyte solution, the power supply output current is adjusted in real time, specifically as follows: ; Wherein: is the effective current density, is the initially set current density, is the real-time electrolyte flow rate, is the standard reference flow rate.

[0047] During the specific implementation process, the initially set current density is 2 mA / cm 2 , the standard reference flow rate is 1.18 m / s, and at the same time the real-time electrolyte flow rate is 1.25 m / s, then the corresponding effective current density is 2.02 mA / cm 2 .

[0048] It should be noted that during the electrochemical polishing process, according to the potential of the obtained working electrode, the obtained potential is compared with the preset potential threshold, and according to the comparison result, the current density is adjusted in real time. Specifically as follows: When the obtained potential is greater than the preset potential threshold, it is determined whether there is current fluctuation. When there is current fluctuation, the working electrode is replaced. When there is no current fluctuation, the current density is reduced through the PLC controller. Conversely, when the obtained potential is not greater than the preset potential threshold, the current density is not adjusted.

[0049] In this embodiment, the current density is reduced through the PLC controller, specifically as follows: ; Where: is the adjusted current density, is the current current density, is the proportional control coefficient, is the integral control coefficient, is the potential deviation, is the reference potential.

[0050] Reference Figure 3 , Figure 3 is the corrosion rate and treatment effect diagram of the sulfide film in this embodiment. From Figure 3 it can be seen that: in the untreated stage, that is, 0 - 5 hours, the corrosion rate of the sulfide film rapidly rises from 0 to 0.5 μg / cm 2 .h, far exceeding the upper limit threshold. After performing rotational self - cleaning, that is, 5 - 15 hours, the corrosion rate of the sulfide film drops from 0.5 μg / cm 2 .h to 0.1 μg / cm 2 .h, and the decline rate reaches 80%, but it is still close to the lower limit threshold. After performing electrolytic polishing at 15 hours, the corrosion rate of the sulfide film drops from 0.1 μg / cm 2 .h to 0.02 μg / cm 2 .h.

[0051] Embodiment 2 This embodiment provides an intelligent gas valve remote control and warning system based on the Internet of Things. The specific implementation method is the same as that of Embodiment 1. The difference is that in step SA1, an intelligent valve is constructed by 316N stainless steel material, and the valve stem and sealing surface of the intelligent valve are surface - treated by magnetron sputtering coating and cemented carbide inlay. The following is an example of the present invention in combination with the specific implementation manner of this embodiment.

[0052] In this embodiment, the valve stem and sealing surface of the intelligent valve are surface - treated by magnetron sputtering coating and cemented carbide inlay, specifically as follows: Step SA1.1: Substrate treatment. That is, through three treatment stages of solution treatment, aging treatment, and stress relief annealing, the valve body blank machined from 316N stainless steel material is subjected to substrate treatment. Specifically, after the valve body blank is sandblasted and cleaned, it is ultrasonically cleaned with acetone and dried, and then the dried valve body blank is vertically suspended inside an atmosphere protection furnace, and high-purity argon is introduced. At the same time, a heating treatment is carried out in the atmosphere protection furnace, heating from room temperature to 1050 °C, and maintaining at the temperature of 1050 °C for at least 1 hour. Then the valve body blank after the heating treatment is placed in a deionized water tank and stirred to ensure uniform cooling, obtaining a supersaturated solid solution.

[0053] Furthermore, after the obtained supersaturated solid solution is finely ground, a preheating treatment is carried out in a salt bath furnace. In this embodiment, the salt bath configuration in the salt bath furnace includes BaCl2, NaCl, and KCl, and the percentage ratio is 5:3:2. It should be noted that 0.5% of Na2CO3 is also provided in the salt bath in the salt bath furnace to prevent oxidation reaction of the supersaturated solid solution during the preheating treatment in the salt bath furnace.

[0054] Specifically, during the preheating treatment, it is heated from room temperature to 750 °C and maintained at the temperature of 750 °C for at least 4 hours. Then the supersaturated solid solution after the preheating treatment is air-cooled to 300 °C and slowly cooled with argon to obtain an aged structure containing nano-carbides.

[0055] Furthermore, the obtained aged structure containing nano-carbides is finely processed to obtain an intelligent valve, and maintained at the temperature of 550 °C for at least 2 hours. At the same time, after cooling to 300 °C in the furnace, it is air-cooled to room temperature to obtain the preliminarily processed intelligent valve.

[0056] Step SA1.2: Coating treatment. That is, through a pneumatic sandblaster, the valve stem of the preliminarily processed intelligent valve obtained in step SA1.1 is sandblasted, and at the same time, after the sandblasted valve stem is ultrasonically cleaned with acetone, absolute ethanol, and deionized water, the ultrasonically cleaned valve stem is further ion-cleaned by a radio frequency plasma cleaner to obtain a pretreated valve stem.

[0057] Furthermore, the pretreated valve stem is clamped by a rotating fixture and uniformly heated at a rate of 10 °C / min by infrared radiation heating until it reaches 300 °C. At the same time, a 50-nm Cr transition layer is deposited on the surface of the heated valve stem, and a M0-N-C gradient layer is prepared on the surface of the valve stem deposited with the Cr transition layer through a dual-target co-sputtering system.

[0058] Step SA1.3: Sealing surface treatment. That is, a 500W fiber laser is used to feed powder into the annular groove of the turned sealing surface after ultrasonic cleaning with acetone, and three layers are cladded on the sealing surface. It should be noted that in this embodiment, the powder selected is WC-10Co powder vacuum-dried at a temperature of 120°C for 2 hours, and the particle size of the WC-10Co powder is set to 15-45μm.

[0059] Furthermore, the cladded sealing surface is cryogenically treated through a liquid nitrogen cryogenic box, that is, it is maintained at a temperature of -196°C for at least 2 hours and then naturally warmed back to room temperature to reduce the retained austenite of the sealing surface after cladding. At the same time, the cryogenically treated sealing surface is ground through a CNC universal grinding machine, that is, rough grinding is carried out through a diamond grinding wheel and an oil-based coolant, and then fine grinding is carried out through a CBN grinding wheel and a water-based nanofluid.

[0060] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended embodiments and their equivalents.

Claims

1. An intelligent gas valve remote control and warning system based on the Internet of Things, characterized in that It includes: Valve processing module: Prepare an intelligent valve from 316N stainless steel treated by grain boundary treatment, and set a sealing ring, a fiber Bragg grating array, and a QCM sensor on the intelligent valve; Intelligent control module: Obtain the fiber Bragg grating strain magnitude and sulfide film data through the fiber Bragg grating array and the QCM sensor, and determine the lubricant release amount and current regulation density, including: SB1: Friction compensation control: Obtain the friction force at different positions on the valve stem according to the fiber Bragg grating strain magnitude, and release nano-lubricant according to the friction force and a preset friction threshold; SB2: Corrosion emergency response: Determine the change in the surface density of the sulfide film according to the sulfide film data, and perform rotational self-cleaning or electro-polishing treatment on the valve stem according to the change in the surface density of the sulfide film.

2. The intelligent gas valve remote control and warning system based on the Internet of Things according to claim 1, wherein Setting a sealing ring, a fiber Bragg grating array, and a QCM sensor on the prepared intelligent valve includes: SA1: Prepare the valve body material: After heat treatment and grain boundary characterization treatment of the intelligent valve, perform coating on the valve stem of the intelligent valve and surface treatment on the sealing surface through magnetron sputtering coating and cemented carbide inlay; SA2: Set up the monitoring system: Set axial microgrooves on the intelligent valve, install fiber Bragg gratings inside the axial microgrooves, and embed QCM sensors in the sealing cavity of the intelligent valve; SA3: Sealing compensation setting: After compressing the PTFE gasket, perform thermal aging cycle treatment at a temperature of 25°C - 200°C.

3. The intelligent gas valve remote control and warning system based on the Internet of Things according to claim 2, characterized in that, Performing coating on the valve stem of the intelligent valve and surface treatment on the sealing surface includes: SA1.1: Substrate treatment: Perform substrate treatment on the valve body blank made of 316N stainless steel completed by machining through solution treatment, aging treatment, and stress relief annealing; SA1.2: Coating treatment: After cleaning the valve stem after sandblasting treatment, obtain the pre-treated valve stem, and deposit a Cr transition layer and a M0-N-C gradient layer on the surface of the valve stem; SA1.3: Sealing surface treatment: Clad three layers on the sealing surface with WC-10Co powder, and at the same time perform cryogenic treatment on the clad sealing surface.

4. The intelligent gas valve remote control and early warning system based on the Internet of Things according to claim 3, characterized in that, During the solution treatment process, the valve body blank is maintained at a temperature of 1050°C for at least 1 hour, and water quenching treatment is performed with deionized water to obtain a supersaturated solid solution; During the aging treatment process, after the supersaturated solid solution is precision ground, it is maintained at a temperature of 750°C for at least 4 hours, air-cooled to 300°C, and then slowly cooled with argon to obtain an aged structure containing nano-carbides; During the stress relief annealing process, the aged structure containing nano-carbides is finely processed, maintained at a temperature of 550°C for at least 2 hours, furnace-cooled to 300°C, and then air-cooled to room temperature to obtain the preliminarily processed intelligent valve.

5. The intelligent gas valve remote control and early warning system based on the Internet of Things according to claim 2, characterized in that, The gold electrode of the QCM sensor is subjected to plasma cleaning and Al2O3 deposition treatment. At the same time, ceramic insulators are installed on the sealing cavity, and the electrodes of the QCM sensor are led out through the ceramic insulators.

6. The intelligent gas valve remote control and warning system based on the Internet of Things according to claim 1, characterized in that, Releasing nano-lubricant includes: SB1.1: Determine the frictional force: The valve stem is equally divided according to the distance between two adjacent fiber Bragg gratings, and the segmented frictional force corresponding to each interval is determined according to the wavelength shift of the fiber Bragg grating. Specifically: ； Wherein: is the segmented frictional force of the i-th interval, is the comprehensive conversion coefficient, is the wavelength shift of the fiber Bragg grating in the i-th interval, is the wavelength shift of the fiber Bragg grating in the (i + 1)-th interval, is the distance between two adjacent fiber Bragg gratings; SB1.2: Friction comparison: Determine the total frictional force of the valve stem through the segmented frictional force, compare the total frictional force with a preset friction threshold, and release nano-lubricant according to the comparison result. Specifically: When the total frictional force is less than the preset friction threshold, no nano-lubricant is released; otherwise, the next step SB1.3 is executed, and steps SB1.1 and SB1.2 are repeated until the total frictional force is less than the preset friction threshold. SB1.3: Determine the lubrication amount: Determine the release amount of nano-lubricant according to the difference between the total frictional force and the preset friction threshold. Specifically: ； Wherein: is the release volume of the nano-lubricant, is the friction increment coefficient, is the total frictional force, is the preset friction threshold.

7. The intelligent gas valve remote control and early warning system based on the Internet of Things according to claim 6, characterized in that, The specific formula for obtaining the comprehensive conversion coefficient is: ； Wherein: is the comprehensive conversion coefficient, is the elastic modulus of the valve stem material, is the friction coefficient between the valve stem and the sealing surface, is the cross-sectional area of the valve stem, is the initial central wavelength of the fiber Bragg grating, is the elasto-optic coefficient.

8. The intelligent gas valve remote control and warning system based on the Internet of Things according to claim 6, characterized in that Adjust the release volume of the nano-lubricant according to the actual working environment temperature of the intelligent valve to determine the release volume after temperature correction, specifically as follows: ; Wherein: is the adjusted release volume of the nano-lubricant, is the release volume of the nano-lubricant, is the working ambient temperature of the valve, is the standard reference temperature.

9. The intelligent gas valve remote control and early warning system based on the Internet of Things according to claim 1, characterized in that, Perform rotational self-cleaning or electrolytic polishing on the valve stem, including: SB2.1: Determine the corrosion rate: Determine the corrosion rate of the sulfide film according to the surface density of the sulfide film, and at the same time compare the corrosion rate with a preset corrosion threshold range, and determine the corrosion treatment method according to the comparison result. Specifically: When the corrosion rate is less than the lower threshold of the preset corrosion threshold, no treatment is performed; when the corrosion rate is within the preset corrosion threshold range, step SB2.2 is executed for rotational self-cleaning until the corrosion rate is less than the lower threshold of the preset corrosion threshold; when the corrosion rate is greater than the upper threshold of the preset corrosion threshold, step SB2.3 is executed for electrolytic polishing until the corrosion rate is less than the lower threshold of the preset corrosion threshold. SB2.2: Rotational self-cleaning: Connect the top of the valve stem to a harmonic reducer through a coupling, connect the harmonic reducer to a servo motor, and adjust the motor current of the servo motor according to the torque fluctuation. Specifically: ； Wherein: is the current adjustment amount, is the torque fluctuation amount, is the motor torque constant; SB2.3: Electrolytic polishing treatment: Mix citric acid, NaNO3 and deionized water to obtain an electrolyte solution, set up a three-dimensional flow channel on the intelligent valve, and circulate the electrolyte solution in the three-dimensional flow channel. At the same time, connect the control valve of the electrolyte solution to a PLC controller, and adjust the power output current according to the flow rate of the electrolyte solution. Specifically: ； Wherein: is the effective current density, is the initially set current density, is the real-time electrolyte flow rate, is the standard reference flow rate.

10. The intelligent gas valve remote control and early warning system based on the Internet of Things according to claim 9, characterized in that, During the electrolytic polishing process, compare the potential of the working electrode with a preset potential threshold, and adjust the current density in real time according to the comparison result. Specifically: When the potential is greater than the preset potential threshold and current fluctuation occurs, replace the working electrode; when the potential is greater than the preset potential threshold and no current fluctuation occurs, reduce the current density through the PLC controller. Conversely, when the potential is not greater than the preset potential threshold, the current density is not adjusted. Reduce the current density through the PLC controller. Specifically: ； Wherein: is the adjusted current density, is the current current density, is the proportional control coefficient, is the integral control coefficient, is the potential deviation, is the reference potential.

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