Torque detection method and device based on intelligent valve rod, intelligent valve rod, electronic equipment and storage medium

Abstract

The invention provides a torque detection method and device based on an intelligent valve rod, the intelligent valve rod, electronic equipment and a storage medium. The method comprises the steps that first detection data and second detection data of the intelligent valve rod are obtained, the first detection data are obtained through detection of a first fiber bragg grating torque sensor installed on the intelligent valve rod, and the second detection data are obtained through detection of a second fiber bragg grating torque sensor installed on the intelligent valve rod; determining a torque reference quantity of the intelligent valve rod based on at least one of the first detection data and the second detection data; and determining the torque of the intelligent valve rod based on the torque reference quantity and the valve rod parameters of the intelligent valve rod. According to the invention, the torque detection accuracy of the valve rod can be effectively improved.

Description

Technical Field

[0001] The present application relates to the field of valve detection, and in particular, to a torque detection method based on an intelligent valve stem, an intelligent valve stem, a device, an electronic device, and a storage medium. Background Art

[0002] In the energy and chemical industries, especially in the nuclear power field, valves are key components for controlling the on-off, flow direction, flow rate, pressure, temperature, etc. of flammable, explosive, toxic, harmful, or corrosive media in pipelines. Their operating status is crucial. Once a malfunction such as jamming occurs, it will cause huge economic losses and even casualties. Therefore, ensuring the continuous and reliable operation of valves is the key to ensuring the safety of energy and chemical equipment. Among the many parameters closely related to the operating status and comprehensive performance of valves, the dynamically changing valve opening and closing torque is an important indicator. Realizing the real-time, on-line, and accurate measurement of valve torque provides important basic data for the design and manufacture of valves, and can also provide strong technical support for their preventive maintenance, thereby improving the safety and reliability of equipment operation.

[0003] In the related art, for the torque detection of the valve stem, usually a single sensor is used for torque detection, so that the accuracy of torque detection is limited by the detection accuracy of the single sensor, resulting in low accuracy of valve stem torque detection. Summary of the Invention

[0004] Embodiments of the present application provide a torque detection method, a device, an electronic device, a computer-readable storage medium, and a computer program product based on an intelligent valve stem, which can effectively improve the accuracy of valve stem torque detection.

[0005] The technical solution of the embodiments of the present application is implemented as follows:

[0006] Embodiments of the present application provide a torque detection method based on an intelligent valve stem, including:

[0007] Obtaining first detection data and second detection data of the intelligent valve stem, where the first detection data is detected by a first fiber Bragg grating torque sensor installed on the intelligent valve stem, and the second detection data is detected by a second fiber Bragg grating torque sensor installed on the intelligent valve stem;

[0008] Determining a torque reference quantity of the intelligent valve stem based on at least one of the first detection data and the second detection data;

[0009] Determining the torque of the intelligent valve stem based on the torque reference quantity and the valve stem parameters of the intelligent valve stem.

[0010] Embodiments of the present application provide an intelligent valve stem, including:

[0011] A valve stem, in which there is a target valve stem section, and the diameter of the target valve stem section is smaller than the diameters of other valve stem sections in the valve stem except the target valve stem section;

[0012] An optical fiber grating torque sensor, which is installed on the target valve stem section of the valve stem, and the size of the target valve stem section matches the size of the optical fiber grating torque sensor;

[0013] The optical fiber grating torque sensor is used to detect the detection data of the intelligent valve stem when the valve stem is in a moving state, and the detection data is used to determine the torque of the intelligent valve stem;

[0014] A metal protective shell, which is connected to the edge of the target valve stem section of the valve stem, and the metal protective shell is used to protect the optical fiber grating torque sensor by covering the target valve stem section.

[0015] In the above solution, the valve stem is a cylinder, and the bottom surface of the optical fiber grating torque sensor fits the surface of the cylinder. The above optical fiber grating torque sensor includes: a first optical fiber grating torque sensor, which is installed on the target valve stem section of the valve stem of the valve and then covered by a metal protective shell, and forms a positive 45-degree angle with the axis of the valve stem; a second optical fiber grating torque sensor, which is installed on the target valve stem section of the valve stem of the valve and then covered by a metal protective shell, and forms a negative 45-degree angle with the axis of the valve stem; the optical fiber grating torque sensor parameters of the first optical fiber grating torque sensor and the second optical fiber grating torque sensor are the same, and the installation positions of the first optical fiber grating torque sensor and the second optical fiber grating torque sensor on the target valve stem section are different.

[0016] In the above solution, the valve stem is connected to a control mechanism, and the control mechanism is used to generate and transmit an operating force to the valve stem.

[0017] In the above solution, the optical fiber grating torque sensor is connected to a processing mechanism, and the processing mechanism is used to receive and process the detection data detected by the optical fiber grating torque sensor when the valve stem is in a moving state, and determine the torque of the valve stem based on the detection data.

[0018] An embodiment of the present application provides a torque detection device based on an intelligent valve stem, including:

[0019] An acquisition module, configured to acquire first detection data and second detection data of the intelligent valve stem, where the first detection data is detected by a first fiber Bragg grating torque sensor installed on the intelligent valve stem, and the second detection data is detected by a second fiber Bragg grating torque sensor installed on the intelligent valve stem;

[0020] A reference quantity determination module, configured to determine a torque reference quantity of the intelligent valve stem based on at least one of the first detection data and the second detection data;

[0021] A torque determination module, configured to determine the torque of the intelligent valve stem based on the torque reference quantity and the valve stem parameters of the intelligent valve stem.

[0022] In the above solution, the reference quantity determination module is further configured to acquire the detection times of the first detection data and the second detection data, and determine a temperature influence factor of the intelligent valve stem at the detection times, where the temperature influence factor is used to indicate whether the temperature will affect the detection of the first fiber Bragg grating torque sensor and the second fiber Bragg grating torque sensor; based on the temperature influence factor, select target detection data from the first detection data and the second detection data; and determine the torque reference quantity of the intelligent valve stem based on the target detection data.

[0023] In the above solution, the reference quantity determination module is further configured to, when the temperature influence factor indicates that the temperature will affect the detection of the fiber Bragg grating torque sensor, determine the first detection data and the second detection data as the target detection data; and when the temperature influence factor indicates that the temperature will not affect the detection of the fiber Bragg grating torque sensor, determine the first detection data or the second detection data as the target detection data.

[0024] In the above solution, the reference quantity determination module is further configured to, when the target detection data includes the first detection data and the second detection data, determine the difference between the first detection data and the second detection data as the torque reference quantity; and when the target detection data is the first detection data or the second detection data, determine the target detection data as the torque reference quantity.

[0025] In the above solution, the above reference quantity determination module is further configured to determine the product of the torque reference quantity and the valve stem parameter as the candidate torque of the intelligent valve stem; when the torque reference quantity is the difference between the first detection data and the second detection data, multiply the candidate torque by a first coefficient to obtain the torque of the intelligent valve stem; when the torque reference quantity is the first detection data or the second detection data, multiply the candidate torque by a second coefficient to obtain the torque of the intelligent valve stem.

[0026] An embodiment of the present application provides an electronic device, including:

[0027] A memory for storing computer-executable instructions or computer programs;

[0028] A processor, when executing the computer-executable instructions or computer programs stored in the memory, implements the torque detection method based on an intelligent valve stem provided by an embodiment of the present application.

[0029] An embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions for causing a processor to implement the torque detection method based on an intelligent valve stem provided by an embodiment of the present application when executed.

[0030] An embodiment of the present application provides a computer program product, which includes a computer program or computer-executable instructions stored in a computer-readable storage medium. The processor of the electronic device reads the computer-executable instructions from the computer-readable storage medium, and the processor executes the computer-executable instructions, so that the electronic device executes the torque detection method based on the intelligent valve stem as described above in the embodiment of the present application.

[0031] The embodiments of the present application have the following beneficial effects:

[0032] By obtaining the first detection data and the second detection data of the intelligent valve stem, the first detection data is detected by the first fiber Bragg grating torque sensor installed on the intelligent valve stem, and the second detection data is detected by the second fiber Bragg grating torque sensor installed on the intelligent valve stem. Based on at least one of the first detection data and the second detection data, a torque reference quantity of the intelligent valve stem is determined. Based on the torque reference quantity and the valve stem parameters of the intelligent valve stem, the torque of the intelligent valve stem is determined. Two fiber Bragg grating torque sensors (the first fiber Bragg grating torque sensor and the second fiber Bragg grating torque sensor) are installed on the intelligent valve stem, which are respectively used to detect the first detection data and the second detection data. This configuration of dual fiber Bragg grating torque sensors can provide redundancy and increase the reliability of detection. Using two fiber Bragg grating torque sensors can reduce the random errors or systematic biases that may be introduced by a single fiber Bragg grating torque sensor, thereby improving the overall detection accuracy. Determining the torque reference quantity based on the data of the two fiber Bragg grating torque sensors can improve the confidence level of torque estimation. By using two fiber Bragg grating torque sensors to determine the torque reference quantity and combining it with the valve stem parameters of the intelligent valve stem, the accuracy of valve stem torque detection can be significantly improved, thereby effectively improving the accuracy of valve stem torque detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 is a schematic diagram of the architecture of the torque detection system provided by an embodiment of the present application;

[0034] Figure 2 is a schematic diagram of the structure of the electronic device for detecting torque provided by an embodiment of the present application;

[0035] Figure 3 is a schematic flow chart of the torque detection method based on an intelligent valve stem provided by an embodiment of the present application Figure 1 ;

[0036] Figure 4 is a schematic flow chart of the torque detection method based on an intelligent valve stem provided by an embodiment of the present application Figure 2 ;

[0037] Figure 5 is a schematic diagram of the structure of the intelligent valve stem provided by an embodiment of the present application Figure 1 ;

[0038] Figure 6 is a schematic diagram of the structure of the intelligent valve stem provided by an embodiment of the present application Figure 2 ;

[0039] Figure 7 is a schematic diagram of the principle of torque detection provided by an embodiment of the present application;

[0040] Figure 8 is a graph showing the change of the central wavelength of the fiber Bragg grating torque sensor over time provided by an embodiment of the present application;

[0041] Figure 9 It is a schematic diagram showing the relationship between the central wavelength of the fiber Bragg grating torque sensor provided by the embodiments of the present application and the valve stem torque. Detailed implementation manners

[0042] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations on the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present application.

[0043] In the following descriptions, "some embodiments" are involved, which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict.

[0044] In the following descriptions, the terms "first / second / third" involved are only used to distinguish similar objects and do not represent a specific order for the objects. It can be understood that "first / second / third" can be interchanged with a specific order or sequence when allowed, so that the embodiments of the present application described here can be implemented in an order other than that illustrated or described here.

[0045] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application and are not intended to limit the present application.

[0046] Before further elaborating on the embodiments of the present application, the nouns and terms involved in the embodiments of the present application are explained. The nouns and terms involved in the embodiments of the present application are subject to the following explanations.

[0047] 1) Torque: In physics, it is the moment that causes an object to rotate around a certain fixed axis or point. It is the product of the force and the distance from the point of application of the force to the center of rotation (or called the lever arm), usually represented by the symbol τ. In the International System of Units, the unit of torque is Newton meter (Nm). Specifically, the magnitude of the torque is equal to the magnitude of the applied force multiplied by the length of the lever arm. In daily life, common examples of torque include the moment when using a wrench to tighten a screw, or the moment output from the engine to the crankshaft.

[0048] 2) Valve: A valve is a fluid control device used to open or close the fluid flow in a pipeline system, or to regulate the fluid flow rate and direction. The valve can be fully opened or fully closed as needed, or in an intermediate position to adjust the flow rate. Valves are widely used in various industrial and civil applications, such as water supply, gas transmission, chemical production, etc.

[0049] 3) Valve stem: The valve stem is an important component in the valve. It is usually a slender metal rod that passes through the sealing part of the valve body and is connected to the operating device of the valve (such as a handwheel, electric actuator, etc.). The main function of the valve stem is to transmit the operating force to the valve body and drive the valve to open or close. During operation, the valve stem needs to maintain good sealing performance to prevent medium leakage.

[0050] 4) Valve body: The valve body refers to the main part of the valve. It is the load-bearing structure of the valve and contains key components such as valve seats, valve flaps (or valve plates), and seals. The valve body is usually made of metal (such as cast iron, stainless steel, etc.) or other corrosion-resistant materials to adapt to different working media and pressure conditions. The design of the valve body determines the function and performance of the valve, such as the tightness of closing, pressure resistance, corrosion resistance, etc. The valve stem is connected to the valve body, and through the movement of the valve stem, the valve flap or valve plate of the valve body will move, thereby realizing the function of opening or closing the fluid.

[0051] 5) Fiber Bragg grating demodulator: A fiber Bragg grating demodulator is an instrument used to read and analyze the signals collected by fiber Bragg grating torque sensors. The fiber Bragg grating torque sensor modulates the Bragg wavelength of the fiber Bragg grating through external physical parameters (such as temperature, strain, pressure, etc.), thereby generating a wavelength change related to the measured physical quantity. The role of the fiber Bragg grating demodulator is to accurately measure these wavelength changes and convert these changes into electrical signals or digital signals for subsequent data processing and analysis. It usually includes a light source, a wavelength detector, a signal processor, etc., and can realize real-time monitoring and acquisition of signals from multiple fiber Bragg grating torque sensors.

[0052] 6) Fiber Bragg grating torque sensor: A fiber Bragg grating torque sensor is a fiber Bragg grating torque sensor developed based on fiber Bragg grating technology and is used to measure the magnitude of torque (torsional moment). This fiber Bragg grating torque sensor usually writes a special grating structure on the optical fiber. When the optical fiber is subjected to torque, the period of the grating will change, thereby causing a change in the Bragg wavelength. This wavelength change is proportional to the magnitude of the torque, so the torque can be accurately measured by detecting the change in the Bragg wavelength. Due to its advantages such as high sensitivity, anti-electromagnetic interference, small size, and corrosion resistance, the fiber Bragg grating torque sensor has a wide range of applications in fields such as aerospace, automotive manufacturing, and robot control.

[0053] During the implementation of the embodiments of the present application, the applicant found the following problems in the related art:

[0054] In the related art, for the torque detection of the valve stem, usually a single sensor is used for torque detection, so that the accuracy of torque detection is limited by the detection accuracy of the single sensor, resulting in low accuracy of the torque detection of the valve stem.

[0055] The embodiments of the present application provide a torque detection method, device, electronic device, computer-readable storage medium and computer program product based on an intelligent valve stem, which can effectively improve the accuracy of the torque detection of the valve stem. The following describes an exemplary application of the torque detection system based on the intelligent valve stem provided by the embodiments of the present application.

[0056] See Figure 1 , Figure 1 FIG. is a schematic architecture diagram of a torque detection system 100 provided by the embodiments of the present application. The terminal (exemplarily shows the terminal 400) is connected to the server 200 through the network 300. The network 300 can be a wide area network or a local area network, or a combination of the two.

[0057] The terminal 400 is used for the user to use the client 410 to display the torque of the intelligent valve stem on the graphical interface 410-1 (exemplarily shows the graphical interface 410-1). The terminal 400 and the server 200 are connected to each other through a wired or wireless network.

[0058] In some embodiments, the server 200 can be an independent physical server, or a server cluster or business system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), and big data and artificial intelligence platforms. The terminal 400 can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart TV, a smart watch, a vehicle-mounted terminal, etc., but is not limited thereto. The electronic device provided by the embodiments of the present application can be implemented as a terminal or a server. The terminal and the server can be directly or indirectly connected through a wired or wireless communication method, which is not limited in the embodiments of the present application.

[0059] See Figure 2 , Figure 2 FIG. is a schematic structural diagram of an electronic device 500 for detecting torque provided by the embodiments of the present application, where Figure 2 The shown electronic device 500 can be Figure 1 the server 200 or the terminal 400 in Figure 2The electronic device 500 shown includes: at least one processor 430, a memory 450, and at least one network interface 420. The various components in the electronic device 500 are coupled together via a bus system 440. It is understood that the bus system 440 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 440 also includes a power bus, a control bus, and a status signal bus. However, for the sake of clarity, the bus system 440 is not described in detail. Figure 2 Various buses are labeled as bus system 440 .

[0060] The processor 430 can be an integrated circuit chip with signal processing capabilities, such as a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., where the general-purpose processor can be a microprocessor or any conventional processor, etc.

[0061] The memory 450 may be removable, non-removable, or a combination thereof. Exemplary hardware devices include solid-state memory, hard drives, optical drives, etc. The memory 450 may optionally include one or more storage devices that are physically remote from the processor 430.

[0062] The memory 450 includes a volatile memory or a non-volatile memory, and may also include both volatile and non-volatile memories. The non-volatile memory may be a read-only memory (ROM), and the volatile memory may be a random access memory (RAM). The memory 450 described in the embodiments of the present application is intended to include any suitable type of memory.

[0063] In some embodiments, memory 450 can store data to support various operations, examples of which include programs, modules, and data structures, or a subset or superset thereof, as exemplarily described below.

[0064] Operating system 451, including system programs for processing various basic system services and performing hardware-related tasks, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks;

[0065] The network communication module 452 is used to reach other electronic devices via one or more (wired or wireless) network interfaces 420. Exemplary network interfaces 420 include: Bluetooth, Wireless Fidelity (WiFi), and Universal Serial Bus (USB).

[0066] In some embodiments, the torque detection device based on an intelligent valve stem provided in the embodiments of the present application can be implemented in software. Figure 2 Shown in the memory 450 is the torque detection device 455 based on an intelligent valve stem, which can be software in the form of a program, a plug-in, etc., and includes the following software modules: an acquisition module 4551, a reference quantity determination module 4552, and a torque determination module 4553. These modules are logical, and thus can be combined arbitrarily or further split according to the functions implemented. The functions of each module will be described below.

[0067] In other embodiments, the torque detection device based on an intelligent valve stem provided in the embodiments of the present application can be implemented in hardware. As an example, the torque detection device based on an intelligent valve stem provided in the embodiments of the present application can be a processor in the form of a hardware decoding processor, which is programmed to execute the torque detection method based on an intelligent valve stem provided in the embodiments of the present application. For example, the processor in the form of a hardware decoding processor can employ one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), or other electronic components.

[0068] In some embodiments, a terminal or a server can implement the torque detection method based on an intelligent valve stem provided in the embodiments of the present application by running a computer program or computer-executable instructions. For example, the computer program can be a native program in an operating system (e.g., a dedicated detection program) or a software module. For example, it can be a detection module embedded in any program (such as an instant messaging client, a photo album program, an electronic map client, a navigation client); for example, it can be a native application (APP), that is, a program that needs to be installed in an operating system to run. In short, the above computer program can be any form of application program, module, or plug-in.

[0069] The torque detection method based on an intelligent valve stem provided in the embodiments of the present application will be described in combination with the exemplary applications and implementations of the server or terminal provided in the embodiments of the present application.

[0070] See Figure 3 , Figure 3 which is a flowchart of the torque detection method based on an intelligent valve stem provided in the embodiments of the present application. Figure 1, will be described in conjunction with Figure 3 Steps 101 to 104 shown below. The torque detection method based on the intelligent valve stem provided in the embodiments of the present application can be implemented independently by a server or a terminal, or jointly implemented by the server and the terminal. Below, an example of independent implementation by the server will be used for description.

[0071] In step 101, the first detection data and the second detection data of the intelligent valve stem are obtained.

[0072] In some embodiments, the first detection data is detected by a first fiber Bragg grating torque sensor installed on the intelligent valve stem, and the second detection data is detected by a second fiber Bragg grating torque sensor installed on the intelligent valve stem.

[0073] In some embodiments, the above-mentioned first fiber Bragg grating torque sensor and second fiber Bragg grating torque sensor are a new type of fiber Bragg grating torque sensor based on fiber Bragg grating technology. It uses the change in the reflection or transmission characteristics of light by the fiber Bragg grating to sense the change in external environmental parameters. The fiber Bragg grating torque sensor has the characteristics of strong anti-interference ability and high sensitivity. The fiber Bragg grating torque sensor can determine the change in torque by detecting the shift of the central wavelength.

[0074] In some embodiments, the first detection data is detected by a first fiber Bragg grating torque sensor installed on the intelligent valve stem. This fiber Bragg grating torque sensor may be used to measure a certain specific physical quantity of the valve stem, such as temperature, pressure, stress, etc. The second detection data is detected by a second fiber Bragg grating torque sensor installed on the intelligent valve stem. This fiber Bragg grating torque sensor may also be used to measure a physical quantity different from that of the first fiber Bragg grating torque sensor, or for redundant monitoring to increase the reliability of the system.

[0075] In some embodiments, for the acquisition of the first detection data, the first fiber Bragg grating torque sensor is installed at the driving end of the valve stem and is used to measure the torque generated when the valve stem rotates. When the valve stem rotates and applies torque, the fiber Bragg grating will undergo slight twisting and deformation, which will cause a shift in its central wavelength. Light emitted by a broadband light source passes through the fiber Bragg grating, and the grating reflects light of a specific wavelength according to the applied torque. A photodetector or a spectral analyzer is used to monitor the central wavelength of the reflected light. The photodetector converts the wavelength information of the reflected light into an electrical signal, which is then recorded by a data acquisition system. The recorded central wavelength shift is used as the first detection data to determine the torque value of the valve stem at a specific time point.

[0076] In some embodiments, for the acquisition of the second detection data, the second fiber Bragg grating torque sensor is installed on the valve stem to provide redundant measurement of torque or to monitor the torque at different positions. Similar to the first fiber Bragg grating torque sensor, when the valve stem rotates, the second fiber Bragg grating torque sensor also records the central wavelength shift caused by the torque. The central wavelength of the reflected light of the second fiber Bragg grating is monitored using a photodetector or a spectral analyzer. The monitored wavelength information is converted into an electrical signal and processed by a data acquisition system. The recorded central wavelength shift is the second detection data, which is used to determine the torque value of the valve stem at another position or time point.

[0077] In step 102, based on at least one of the first detection data and the second detection data, determine the torque reference amount of the intelligent valve stem.

[0078] In some embodiments, referring to Figure 4 , Figure 4 is a schematic flow chart of the torque detection method based on an intelligent valve stem provided by an embodiment of the present application Figure 2 , Figure 3 shown, step 102 can be implemented by Figure 4 steps 1021 to 1023 shown.

[0079] In step 1021, obtain the detection times of the first detection data and the second detection data, and determine the temperature influence factor of the intelligent valve stem at the detection times.

[0080] In some embodiments, the temperature influence factor is used to indicate whether the temperature will affect the detection of the first fiber Bragg grating torque sensor and the second fiber Bragg grating torque sensor.

[0081] In some embodiments, in an intelligent valve stem system, obtaining the detection times of the first detection data and the second detection data and determining the temperature influence factor helps to evaluate whether the temperature change has affected the measurement results of the fiber Bragg grating torque sensor. The detection time refers to the accurate time point when the first fiber Bragg grating torque sensor and the second fiber Bragg grating torque sensor collect the first detection data and the second detection data. The time point is usually synchronously recorded by the data acquisition system to ensure synchronization with the clock of the data acquisition card. The detection times of the first detection data and the second detection data are the same.

[0082] In some embodiments, the detection time can be determined in the following manner: Timestamp synchronization to ensure that the timestamps of all fiber Bragg grating torque sensors and the data acquisition system are synchronized, which is usually achieved through a central clock or the Network Time Protocol (NTP). Real-time acquisition, when the fiber Bragg grating torque sensor detects a change in the physical quantity, the data acquisition system records the data and timestamps in real time. Logging, the data and timestamps are recorded in a data log for subsequent analysis.

[0083] In some embodiments, the temperature influence factor is used to evaluate whether the temperature change has a significant impact on the measurement results of the first fiber Bragg grating torque sensor and the second fiber Bragg grating torque sensor. The following describes several ways to determine the temperature influence factor: Through ambient temperature measurement, at the detection time, record the temperature of the environment where the intelligent valve stem is located, which is usually accomplished by an additional temperature fiber Bragg grating torque sensor. Temperature response analysis of the fiber Bragg grating torque sensor to understand and evaluate the sensitivity of each fiber Bragg grating torque sensor to temperature changes. Fiber Bragg grating torque sensors usually have a certain response to temperature changes, but this may affect the accuracy of their measurement of other physical quantities. Data comparison and analysis, compare the temperature changes, and compare the ambient temperature at the detection time with the response of the fiber Bragg grating torque sensor under standard conditions. Check whether the reading deviation of the first fiber Bragg grating torque sensor and the second fiber Bragg grating torque sensor during temperature changes exceeds their error range or a preset threshold. Based on the above analysis, a temperature influence factor can be calculated. For example, if the temperature change has little impact on the readings of the fiber Bragg grating torque sensor, the temperature influence factor may be close to 1, indicating that the influence of temperature on the measurement results can be ignored. If the temperature change has a great impact on the readings of the fiber Bragg grating torque sensor, the temperature influence factor will deviate from 1, indicating that temperature correction is required for the measurement results. If the temperature influence factor indicates that temperature has a significant impact on the readings of the fiber Bragg grating torque sensor, temperature correction of the data is required, and then verification is performed by comparing the corrected data with the expected value or historical data.

[0084] In some embodiments, the temperature influence factor refers to a parameter or coefficient used to evaluate the degree of influence of temperature change on the measurement results of fiber Bragg grating torque sensors under certain conditions. The temperature influence factor is a parameter used to measure the degree of influence of temperature change on the accuracy of the detection data of fiber Bragg grating torque sensors. It can indicate whether temperature will affect the measurement results of fiber Bragg grating torque sensors at a specific detection time, thereby guiding necessary adjustments to ensure data accuracy.

[0085] In step 1022, based on the temperature influence factor, select target detection data from the first detection data and the second detection data.

[0086] In some embodiments, step 1022 can be implemented as follows: when the temperature impact factor indicates that the temperature will affect the detection of the fiber Bragg grating torque sensor, the first detection data and the second detection data are determined as the target detection data; when the temperature impact factor indicates that the temperature will not affect the detection of the fiber Bragg grating torque sensor, either the first detection data or the second detection data is determined as the target detection data.

[0087] In some embodiments, the temperature impact factor is a key indicator for judging whether the temperature affects the detection of the fiber Bragg grating torque sensor. Its value or state determines the subsequent method of processing the detection data. When the temperature impact factor indicates an impact, if the temperature impact factor shows that the temperature will affect the detection of the fiber Bragg grating torque sensor, this means that relying solely on the data of any one fiber Bragg grating torque sensor may lead to inaccurate results. Therefore, the system combines the detection data (the first detection data and the second detection data) of the two fiber Bragg grating torque sensors and determines it as the target detection data.

[0088] In some embodiments, when the temperature impact factor indicates no impact, if the temperature impact factor shows that the temperature will not affect the detection of the fiber Bragg grating torque sensor, then the data of the fiber Bragg grating torque sensor is considered reliable. In this case, either the first detection data or the second detection data can be selected as the target detection data. Generally, if there are no other factors affecting, the system may select the data of one of the fiber Bragg grating torque sensors, usually based on the historical performance, accuracy, or reliability of the fiber Bragg grating torque sensor.

[0089] In this way, using the temperature impact factor to judge the impact of temperature on the detection of the fiber Bragg grating torque sensor and adopting corresponding data processing strategies according to its indication can significantly improve the accuracy and reliability of the detection system. When the temperature impact factor shows that the temperature will affect the detection of the fiber Bragg grating torque sensor, by combining the first detection data and the second detection data to determine the target detection data, the error caused by temperature changes can be effectively offset to ensure the accuracy of the measurement results. On the contrary, when the temperature does not affect the detection, directly using the data of any one fiber Bragg grating torque sensor as the target detection data simplifies the processing flow and improves the efficiency. This adaptive data processing method not only optimizes the performance of the system but also helps to reduce misjudgment and operation risks, thus bringing beneficial effects in ensuring product quality and production safety.

[0090] In step 1023, based on the target detection data, determine the torque reference value of the intelligent valve stem.

[0091] In some embodiments, step 1023 above can be implemented as follows: When the target detection data includes the first detection data and the second detection data, the difference between the first detection data and the second detection data is determined as the torque reference quantity; when the target detection data is the first detection data or the second detection data, the target detection data is determined as the torque reference quantity.

[0092] In some embodiments, regarding the composition of the target detection data, when the target detection data includes the first detection data and the second detection data, this means that the target detection data is a combination of detection data provided by two fiber Bragg grating torque sensors. This is because the data of a single fiber Bragg grating torque sensor is affected by environmental factors such as temperature and is not sufficient to provide accurate measurement results. When the target detection data includes the first detection data or the second detection data, this means that the target detection data is determined only by the data of one fiber Bragg grating torque sensor, and the data of the other fiber Bragg grating torque sensor is not used. This may be because the temperature influence factor indicates that the ambient temperature will not affect the detection of the fiber Bragg grating torque sensor, or because only the data of one fiber Bragg grating torque sensor is trusted in the system design.

[0093] In some embodiments, regarding the determination of the torque reference quantity: When the difference is used as the torque reference quantity and the target detection data includes the first detection data and the second detection data, the torque reference quantity is determined by calculating the difference between these two data. This approach may be applicable to situations where the difference between the measurement values of two fiber Bragg grating torque sensors needs to be known, such as detecting the consistency or balance of the detection system. The difference can reflect the change or deviation of the torque and may be very useful for diagnosis and calibration. When the target detection data is used as the torque reference quantity and the target detection data is only the first detection data or the second detection data, this single detection data is directly used as the torque reference quantity. This is usually because the data is accurate enough to reflect the actual torque condition.

[0094] In some embodiments, for high-precision measurement, when temperature or other factors may affect the measurement accuracy, determining the torque reference quantity through the data of two fiber Bragg grating torque sensors can improve the accuracy and reliability of the measurement. To simplify the measurement process, when the temperature influence can be ignored, directly using the data of a single fiber Bragg grating torque sensor as the torque reference quantity can simplify the measurement process and improve the efficiency.

[0095] As an example, when the target detection data includes the first detection data and the second detection data, the expression of the above torque reference quantity can be:

[0096] Δλ B = is λ 1 -Δλ 2(1)

[0097] As an example, when the target detection data includes the first detection data or the second detection data, the expression of the above torque reference quantity can be:

[0098] Δλ B = λ 1 (2)

[0099] Δλ B = λ 2 (3)

[0100] Wherein, Δλ B is used to indicate the torque reference quantity, Δλ 1 is used to indicate the first detection data, and Δλ 2 is used to indicate the second detection data.

[0101] In this way, in the case of requiring high-precision measurement, the detection data of two fiber Bragg grating torque sensors are combined to determine the difference as the torque reference quantity, significantly improving the reliability and accuracy of the measurement result, helping to reduce errors and improve product quality. In an environment with small interference factors such as temperature, the data of a single fiber Bragg grating torque sensor is directly used as the torque reference quantity, simplifying the measurement process, improving the measurement efficiency, and reducing complexity and cost. Generally, this strategy optimizes the working performance of the torque measurement system, enhances the adaptability and flexibility of the system, and is of great significance for ensuring the smoothness of the production process and improving the overall equipment performance.

[0102] In step 103, based on the torque reference quantity and the valve stem parameters of the intelligent valve stem, the torque of the intelligent valve stem is determined.

[0103] In some embodiments, the above step 103 can be implemented in the following manner: the product of the torque reference quantity and the valve stem parameters is determined as the candidate torque of the intelligent valve stem; when the torque reference quantity is the difference between the first detection data and the second detection data, the candidate torque is multiplied by a first coefficient to obtain the torque of the intelligent valve stem; when the torque reference quantity is the first detection data or the second detection data, the candidate torque is multiplied by a second coefficient to obtain the torque of the intelligent valve stem.

[0104] In some embodiments, a torque reference quantity is multiplied by a valve stem parameter to obtain a candidate torque. The valve stem parameter may include, but is not limited to, physical characteristics, dimensions, material properties, etc. of the valve stem. The product of these parameters and the torque reference quantity can reflect the torque requirement of the valve stem under specific conditions. When the torque reference quantity is the difference between the first detection data and the second detection data, this difference usually reflects the measurement deviation caused by certain factors (such as temperature change). To correct this deviation, the candidate torque needs to be multiplied by a first coefficient. The first coefficient is a correction factor used to adjust the torque error caused by the measurement deviation.

[0105] In some embodiments, when the torque reference quantity is any one of the first detection data or the second detection data, it means that no significant deviation is detected, or the data of one of the fiber Bragg grating torque sensors is trusted. In this case, the candidate torque is multiplied by a second coefficient. The second coefficient is also a correction factor, but its value may be different from the first coefficient because it is used to adjust the torque value when there is no detection deviation. The first coefficient and the second coefficient are selected based on factors such as experimental data, fiber Bragg grating torque sensor characteristics, valve stem performance, and actual application requirements. They may be determined by the system through a learning and calibration process to ensure accurate torque values under different measurement conditions. By multiplying by the corresponding coefficient, the torque value can be adjusted according to the actual situation to compensate for measurement errors or adapt to specific application requirements.

[0106] As an example, the expression for the torque of the above intelligent valve stem can be:

[0107]

[0108] where T is used to indicate the torque of the intelligent valve stem, is used to indicate the valve stem parameter, γ is used to indicate the coefficient, and Δλ B is used to indicate the torque reference quantity.

[0109] As an example, when the torque reference quantity is the difference between the first detection data and the second detection data, the expression for the torque of the above intelligent valve stem can be:

[0110]

[0111] where T is used to indicate the torque of the intelligent valve stem, is used to indicate the valve stem parameter, is the first coefficient.

[0112] As an example, when the torque reference quantity is the first detection data or the second detection data, the expression for the torque of the above intelligent valve stem can be:

[0113]

[0114] Among them, T is used to indicate the torque of the intelligent valve stem, Δλ is used to indicate the valve stem parameter, 1 Δλ is used to indicate the first detection data, 2 Δλ is used to indicate the second detection data.

[0115] In this way, the intelligent valve stem can accurately adjust the torque value according to different measurement conditions. By multiplying the torque reference quantity by the valve stem parameter to determine the candidate torque, the physical characteristics of the valve stem can be fully considered, thus ensuring the accuracy of torque calculation. In the case of measurement deviation, the candidate torque is corrected using the first coefficient, effectively compensating for the error caused by environmental factors and improving the accuracy of torque control. When the measurement data is stable, the torque value can be quickly and accurately determined by multiplying by the second coefficient, improving the work efficiency. This flexible torque adjustment strategy not only enhances the adaptability and reliability of the intelligent valve stem, but also helps to optimize the overall performance, ensuring the efficiency and safety of the production process.

[0116] Refer to Figure 5 , Figure 5 which is a schematic structural diagram of the intelligent valve stem provided by the embodiment of the present application. The intelligent valve stem provided by the embodiment of the present application includes: a valve stem 3, in which there is a target valve stem section 4, and the diameter of the target valve stem section 4 is smaller than the diameters of other valve stem sections in the valve stem 3 except the target valve stem section 4; fiber Bragg grating torque sensors (such as Figure 5 the fiber Bragg grating torque sensor 1 and the fiber Bragg grating torque sensor 2 shown), the fiber Bragg grating torque sensors (such as Figure 5 the fiber Bragg grating torque sensor 1 and the fiber Bragg grating torque sensor 2 shown) are installed on the target valve stem section 4 of the valve stem 3, and the size of the target valve stem section 4 matches the size of the fiber Bragg grating torque sensors (such as Figure 5 the fiber Bragg grating torque sensor 1 and the fiber Bragg grating torque sensor 2 shown); a metal protective shell 5, the metal protective shell 5 is connected to the edge of the target valve stem section 4 of the valve stem 3, and the metal protective shell 5 is used to protect the fiber Bragg grating torque sensors (such as Figure 5 the fiber Bragg grating torque sensor 1 and the fiber Bragg grating torque sensor 2 shown) by covering the target valve stem section 4.

[0117] In some embodiments, the target valve stem section is a specific section designed in the intelligent valve stem, and the diameter of the target valve stem section is smaller than the diameters of other parts of the valve stem. This design may be to adapt to the installation of the fiber Bragg grating torque sensor, or to reduce the friction of the intelligent valve stem, improve the response speed, etc.

[0118] In some embodiments, the fiber Bragg grating torque sensor is installed on the target valve stem section. Since the size of the target valve stem section matches the size of the fiber Bragg grating torque sensor, this indicates that the fiber Bragg grating torque sensor may be specifically designed to fit this valve stem section, ensuring the stability of the installation and the performance of the fiber Bragg grating torque sensor. The matching of the installation position and size of the fiber Bragg grating torque sensor may be for monitoring specific parameters of the valve stem, such as temperature, pressure, displacement, etc., which are crucial for controlling the operation of the valve stem. The target valve stem section refers to a specific valve stem part in the intelligent valve stem. This section is designed for special purposes, such as integrating a fiber Bragg grating torque sensor, reducing the diameter to optimize performance, etc. It may be an area on the valve stem that needs to be monitored or protected with emphasis.

[0119] In some embodiments, the metal protective shell is connected to the edge of the target valve stem section to provide physical protection for the fiber Bragg grating torque sensor. The metal protective shell protects the fiber Bragg grating torque sensor by covering the target valve stem section, preventing the fiber Bragg grating torque sensor from being affected by the external environment (such as wear, corrosion, impact, etc.), thereby extending the service life of the fiber Bragg grating torque sensor and maintaining the reliability of its function. The metal protective shell is a shell made of metal materials, used to protect the internal electronic components or fiber Bragg grating torque sensors from the influence of external environmental factors, such as physical damage, moisture, temperature changes, etc.

[0120] In some embodiments, size matching means that the sizes of two components are designed to be compatible with each other to ensure that they can be correctly installed or used in cooperation. Coating means covering an object or material completely on the surface of another object or material to provide protection or specific functions.

[0121] In some embodiments, the target valve stem section is a special part designed on the valve stem, called the target valve stem section. The diameter of this section is smaller than the diameter of the rest of the valve stem. This design may be for achieving specific functions, such as reducing fluid resistance, increasing the speed when the fluid passes through, or for fitting a specific fiber Bragg grating torque sensor. The size of the target valve stem section matches the size of the fiber Bragg grating torque sensor, which means that the fiber Bragg grating torque sensor can be closely installed on the target valve stem section, thereby ensuring that the fiber Bragg grating torque sensor can accurately measure or monitor relevant parameters.

[0122] In some embodiments, the fiber Bragg grating torque sensor is installed on the target valve stem section to directly monitor certain key parameters of the valve stem, such as temperature, pressure, flow rate, or the position and motion state of the valve stem. By collecting data, the fiber Bragg grating torque sensor can achieve functions such as real-time monitoring, fault diagnosis, and automatic adjustment, improving the intelligent level of the system. The main function of the metal protective shell is to protect the fiber Bragg grating torque sensor from being damaged by external environmental factors (such as impact, corrosion, etc.) during operation. The metal protective shell is connected to the edge of the target valve stem section, and this design ensures the stability of the protective shell and also provides a solid protection environment for the fiber Bragg grating torque sensor.

[0123] As an example, in the application scenario of an oil drilling platform, it is necessary to accurately monitor the torque of the drill pipe during the drilling process to ensure the safety and efficiency of the operation. The valve stem is a key component in the drilling system, which is responsible for transmitting power to rotate the drill bit to drill into the ground. The target valve stem section is a specific area of the valve stem design, that is, the target valve stem section, whose diameter is smaller than that of other parts of the valve stem. For example, assume the standard diameter of the valve stem is 100 mm, while the diameter of the target valve stem section is 80 mm. The fiber Bragg grating torque sensor is a special optical fiber Bragg grating torque sensor installed on the target valve stem section. The fiber Bragg grating torque sensor can detect minute physical changes, such as strain, by measuring the propagation characteristics of light in the optical fiber. The metal protective shell covers the target valve stem section and is closely connected to the fiber Bragg grating torque sensor, protecting the fiber Bragg grating torque sensor from damage by the external environment, such as grease, dust, moisture, etc. that may be encountered during the oil drilling process.

[0124] Continuing with the above example, in the drilling operation, the torque of the valve stem is an important parameter because it reflects the magnitude of the torque required for the drill bit to rotate. To monitor this parameter in real time, the fiber Bragg grating torque sensor is installed on the target valve stem section. Since the diameter of the target valve stem section matches the size of the fiber Bragg grating torque sensor, the fiber Bragg grating torque sensor can accurately measure the strain of the valve stem in this section. When the valve stem is subjected to torque, the target valve stem section will undergo a minute deformation, which will be detected by the fiber Bragg grating torque sensor and converted into an electrical signal. Due to the unique properties of the fiber Bragg grating torque sensor, it can provide high-resolution measurement results, which enables the operator to accurately understand the current torque value. The metal protective shell ensures that the fiber Bragg grating torque sensor can operate normally even in the harsh environment of the drilling platform. If the reading of the fiber Bragg grating torque sensor exceeds a predetermined threshold, the system can automatically issue an alarm to alert the operator of a possible excessive torque situation, so as to take appropriate measures, such as reducing the torque or pausing the operation, to prevent damage to the drill pipe or drilling accidents.

[0125] As an example, in the chemical industry, the precise operation of fluid control valves is crucial. The following is a specific example of how to use the intelligent valve stem provided by the embodiments of the present application to measure the torque of the valve stem: In a large chemical plant, where precise proportioning and transportation of various chemicals are involved, it is necessary to monitor the operating status of the control valve in real time to ensure the stability of the process flow. The valve stem is a key component connecting the valve and the control system, responsible for converting control instructions into the opening and closing actions of the valve. A target valve stem section is designed on the valve stem, and the designed diameter of this section is smaller than that of other parts of the valve stem. For example, the standard diameter of the valve stem is 60 mm, while the diameter of the target valve stem section is 40 mm. This fiber Bragg grating torque sensor is installed on the target valve stem section. It can measure the strain by detecting the change in the grating pitch in the optical fiber, thereby indirectly measuring the torque of the valve stem. The metal protective shell is connected to the edge of the target valve stem section, tightly covering the fiber Bragg grating torque sensor to prevent chemical reactants, corrosive gases or liquids from damaging the fiber Bragg grating torque sensor.

[0126] Continuing with the above example, in a chemical plant, a control valve needs to precisely regulate the flow rate of chemicals. The operator sends opening and closing instructions to the valve through the control system, and the valve stem is responsible for executing these instructions. Torque measurement: When the valve stem rotates to open or close the valve, the fiber Bragg grating torque sensor will detect the tiny deformation of the target valve stem section. This deformation is proportional to the torque borne by the valve stem. The fiber Bragg grating torque sensor converts the deformation into an electrical signal and sends it to the control system for analysis. Real-time monitoring: The control system will monitor these signals in real time to evaluate whether the torque applied by the valve stem is within the normal operating range. If the torque is too high, it may mean that the valve is stuck or there are other mechanical problems. At this time, the system can issue a warning or automatically stop the operation to prevent equipment damage. The role of the protective shell: The metal protective shell ensures that the fiber Bragg grating torque sensor can work stably in the chemical environment for a long time without being affected by corrosive chemicals or external physical impacts.

[0127] In this way, the intelligent valve stem provided by the embodiments of the present application realizes the precise measurement and protection of the valve stem torque by setting a target valve stem section on the valve stem and cooperating with the fiber Bragg grating torque sensor and the metal protective shell. The design of the target valve stem section makes the installation of the fiber Bragg grating torque sensor more compact, improving the accuracy and sensitivity of the measurement. The introduction of the metal protective shell enhances the durability and reliability of the fiber Bragg grating torque sensor in harsh environments. It not only improves the monitoring and control level of the valve stem system, but also helps to reduce equipment failures and maintenance costs, thereby improving the overall stability and economic benefits.

[0128] Thus, by obtaining the first detection data and the second detection data of the intelligent valve stem, the first detection data is detected by the first fiber Bragg grating torque sensor installed on the intelligent valve stem, and the second detection data is detected by the second fiber Bragg grating torque sensor installed on the intelligent valve stem. Based on at least one of the first detection data and the second detection data, a torque reference quantity of the intelligent valve stem is determined. Based on the torque reference quantity and the valve stem parameters of the intelligent valve stem, the torque of the intelligent valve stem is determined. Two fiber Bragg grating torque sensors (the first fiber Bragg grating torque sensor and the second fiber Bragg grating torque sensor) are installed on the intelligent valve stem, which are respectively used to detect the first detection data and the second detection data. This configuration of dual fiber Bragg grating torque sensors can provide redundancy and increase the reliability of detection. Using two fiber Bragg grating torque sensors can reduce the random errors or systematic biases that may be introduced by a single fiber Bragg grating torque sensor, thereby improving the overall detection accuracy. Determining the torque reference quantity based on the data of the two fiber Bragg grating torque sensors can improve the confidence level of torque estimation. By using two fiber Bragg grating torque sensors to determine the torque reference quantity and combining it with the valve stem parameters of the intelligent valve stem, the accuracy of valve stem torque detection can be significantly improved, thus effectively improving the accuracy of valve stem torque detection.

[0129] In some embodiments, referring to Figure 5 and Figure 6 , Figure 5 is a schematic structural diagram of the intelligent valve stem provided by an embodiment of the present application Figure 1 , Figure 6 is a schematic structural diagram of the intelligent valve stem provided by an embodiment of the present application Figure 2 , the valve stem is a cylinder, the bottom surface of the fiber Bragg grating torque sensor is attached to the surface of the cylinder. The fiber Bragg grating torque sensor includes: a first fiber Bragg grating torque sensor 1, which is installed on the target valve stem section of the valve stem of the valve and is covered by a metal protective shell after installation, and forms a positive 45-degree angle with the axis of the valve stem 3; a second fiber Bragg grating torque sensor 2, which is installed on the target valve stem section of the valve stem of the valve and is covered by a metal protective shell after installation, and forms a negative 45-degree angle with the axis of the valve stem 3.

[0130] In some embodiments, the fiber Bragg grating torque sensor parameters of the first fiber Bragg grating torque sensor 1 and the second fiber Bragg grating torque sensor 2 are the same, and the installation positions of the first fiber Bragg grating torque sensor 1 and the second fiber Bragg grating torque sensor 2 on the target valve stem section 4 are different.

[0131] In some embodiments, a target valve stem section 4 is designed in the intelligent valve stem, and its diameter is smaller than other parts of the valve stem 3. This design allows the installation of fiber Bragg grating torque sensors on this smaller diameter section without affecting the structural integrity of the entire valve stem. The fiber Bragg grating torque sensor 1 and the fiber Bragg grating torque sensor 2 are installed on this target valve stem section 4. This design enables the fiber Bragg grating torque sensors to be closely combined with the valve stem, reducing the design complexity caused by installation space limitations. The function of the metal protective shell 5 is to protect the fiber Bragg grating torque sensors from damage caused by the external environment. The protective shell is connected to the edge of the target valve stem section, providing additional mechanical protection and environmental sealing.

[0132] In some embodiments, the first fiber Bragg grating torque sensor 1 and the second fiber Bragg grating torque sensor 2 are installed on the axis of the valve stem 3 at positive 45-degree and negative 45-degree angles respectively. This angular installation is beneficial for measuring the stress and torque of the valve stem during rotation because the two fiber Bragg grating torque sensors can provide stress data at different angles.

[0133] In some embodiments, the fiber Bragg grating torque sensor 1 and the fiber Bragg grating torque sensor 2 are installed on the target valve stem section 4, and the size of the target valve stem section 4 matches the size of the fiber Bragg grating torque sensors to ensure the tightness and stability of the installation of the fiber Bragg grating torque sensors. Both the fiber Bragg grating torque sensor 1 and the fiber Bragg grating torque sensor 2 are fiber Bragg grating torque sensors. The fiber Bragg grating torque sensors are suitable for monitoring the torque of the valve stem due to their high sensitivity, electromagnetic interference resistance, high temperature and high pressure resistance, etc. The first fiber Bragg grating torque sensor 1 forms a positive 45-degree angle with the axis of the valve stem 3, and the second fiber Bragg grating torque sensor 2 forms a negative 45-degree angle with the axis of the valve stem 3. This layout allows the fiber Bragg grating torque sensors to detect stress changes in different directions during the rotation of the valve stem, which helps to accurately calculate the torque. The installation positions of the sensor 1 and the fiber Bragg grating torque sensor 2 on the target valve stem section 4 are different, which can provide information about the torque distribution and increase the reference value of the data.

[0134] As an example, a large control valve in a chemical enterprise needs to accurately monitor the torque during its operation to ensure the normal operation of the valve and prevent equipment damage. After the first fiber Bragg grating torque sensor is installed on the target valve stem section of the valve stem, it is covered by a metal protective shell and forms a positive 45-degree angle with the axial direction of the valve stem. When the valve stem is subjected to torque, the fiber Bragg grating torque sensor 1 will record the corresponding strain data. The second fiber Bragg grating torque sensor 2 is installed on the target valve stem section of the valve stem and is covered by a metal protective shell, but forms a negative 45-degree angle with the axial direction of the valve stem. The fiber Bragg grating torque sensor 2 will also record strain data, but in the opposite direction. The fiber Bragg grating torque sensor 1 and the fiber Bragg grating torque sensor 2 have the same parameters but different installation positions, so that stress data of the valve stem at two different angles can be obtained. These data are used to calculate the torque of the valve stem. By comparing and analyzing the data of the two fiber Bragg grating torque sensors, the torque change of the valve stem during rotation can be determined more accurately. In a chemical enterprise, when the valve is operating, the intelligent valve stem can monitor the torque in real time to ensure that the operation of the valve does not exceed its designed safety limit. If abnormal torque is detected, the system can immediately issue an alarm and take measures to prevent equipment damage or production accidents.

[0135] In some embodiments, referring to Figure 5 , the valve stem 3 is connected to a control mechanism, and the control mechanism is used to generate and transmit an operating force to the valve stem 3.

[0136] In some embodiments, when the control mechanism applies an operating force to the valve stem, the valve stem will bear torque. The fiber Bragg grating torque sensor 1 and the fiber Bragg grating torque sensor 2 will detect the resulting strain and convert it into an electrical signal. Since the fiber Bragg grating torque sensors are installed at different angles, information about the distribution of torque in different directions can be obtained, thus more comprehensively evaluating the force on the valve stem. The data detected by the fiber Bragg grating torque sensors are used to determine the torque of the valve stem, and these data can be transmitted to the control system or the monitoring system by wired or wireless means.

[0137] In some embodiments, the control mechanism is a key component in the intelligent valve stem system. It is responsible for generating and transmitting an operating force to the valve stem 3 to control the opening or closing of the valve. The control mechanism is usually electric, hydraulic or pneumatic. As the energy source for driving the valve operation, through devices such as motors, hydraulic motors or pneumatic cylinders, the control mechanism can generate sufficient torque to overcome the resistance required when the valve opens or closes. The control mechanism transmits the generated torque to the valve stem 3 to ensure that the force can effectively act on the valve. The control mechanism receives instructions from the control system, and these instructions can be automatic or manual, to start or stop the operation of the valve. The valve stem 3 is connected to the control mechanism to ensure that the torque generated by the control mechanism can be transmitted to the valve stem and then act on the valve.

[0138] As an example, in the application scenarios of the chemical and petroleum industries, the valve stem often bears high torque. The intelligent valve stem can help monitor the operating state of the valve and prevent potential accidents. In the field of the nuclear power industry, for example, in a nuclear power plant, the precise control and monitoring of valves are crucial. The intelligent valve stem can be used for the safety control valve of a nuclear reactor to ensure its stable operation. In the fields of water treatment and wastewater treatment, in large water treatment facilities, the operating efficiency and safety of valves are key. The intelligent valve stem can improve the reliability and maintenance efficiency of the system.

[0139] In some embodiments, referring to Figure 5 , the fiber Bragg grating torque sensor ( Figure 5 the fiber Bragg grating torque sensor 1 and the fiber Bragg grating torque sensor 2 shown) is connected to a processing mechanism, and the processing mechanism is configured to receive and process the detection data detected by the fiber Bragg grating torque sensor ( Figure 5 the fiber Bragg grating torque sensor 1 and the fiber Bragg grating torque sensor 2 shown) when the valve stem is in a moving state, and determine the torque of the valve stem based on the detection data.

[0140] In some embodiments, the processing mechanism (host computer) refers to a computer or a controller in the intelligent valve stem system for processing and analyzing the data of the fiber Bragg grating torque sensor. The processing mechanism is responsible for collecting the detection data from the fiber Bragg grating torque sensor (fiber Bragg grating torque sensor 1 and fiber Bragg grating torque sensor 2), and analyzing the collected data to determine the torque of the valve stem and other relevant parameters, so as to accurately interpret the data of the fiber Bragg grating torque sensor and convert it into a meaningful torque value. According to the analysis result, the processing mechanism may need to generate control instructions to adjust the control mechanism of the valve stem to ensure that the operation of the valve is within a safe range and optimize the performance. The processing mechanism can also monitor the entire system. If an abnormal situation (such as the torque exceeding a predetermined threshold) is detected, it can trigger an alarm system or automatically take corrective measures. The processing mechanism records the operation data and generates reports for long-term trend analysis and performance evaluation.

[0141] In some embodiments, the host computer includes a central processing unit for performing data processing and analysis tasks; a memory for storing the data of the fiber Bragg grating torque sensor and system parameters, an input / output (I / O) interface for communicating with the fiber Bragg grating torque sensor, the control mechanism, and other external devices. The operating system and software run control algorithms and user interfaces so that operators can monitor and control the system. The host computer can achieve automatic data collection and analysis, reducing manual intervention. The host computer can provide real-time monitoring and alarms to ensure timely response to abnormal situations. The host computer can store a large amount of data and generate useful reports to help with maintenance and performance optimization.

[0142] As an example, in a factory automation system, the host computer can integrate the data of multiple intelligent valve stems to achieve centralized monitoring and control. In remote monitoring: The host computer can achieve remote monitoring and control through network connection, which is suitable for scenarios that require remote operation, such as remote oil fields or water treatment facilities. The processing mechanism (host computer) plays a core role in the intelligent valve stem system. It is not only responsible for processing and analyzing the data of the fiber Bragg grating torque sensor, but also for generating control instructions to achieve the automated and intelligent operation of the valve.

[0143] In some embodiments, the fiber Bragg grating torque sensor and the processing mechanism are connected through a demodulator. The demodulator is used to receive and preprocess the detection data detected by the fiber Bragg grating torque sensor when the valve stem is in the motion state, and send the preprocessed detection data to the processing mechanism for the determination of the torque.

[0144] In the embodiments of the present application, the demodulator is a key component. It is responsible for receiving the data detected by the fiber Bragg grating torque sensor, performing preprocessing, and sending the processed data to the host computer (processing mechanism) for analysis and further processing. The demodulator is responsible for receiving the data detected by the fiber Bragg grating torque sensor (fiber Bragg grating torque sensor 1 and fiber Bragg grating torque sensor 2) when the valve stem is in the motion state. These data usually exist in the form of electrical signals. The demodulator preprocesses the received raw data, which may include steps such as filtering, amplification, and calibration to reduce noise and improve the accuracy of the data. For fiber Bragg grating torque sensors of the fiber Bragg grating torque sensor type, the demodulator also needs to demodulate the optical signal into an electrical signal because in the fiber Bragg grating torque sensor, the stress change causes a change in the reflectivity of the grating, and the stress information can be obtained by detecting these changes. The preprocessed data may need to be converted into a specific format so that the host computer can recognize and process it. The demodulator sends the preprocessed data to the host computer, and the host computer then performs the determination of the torque and other related analyses.

[0145] In some embodiments, the demodulator may include: an interface circuit: for receiving the fiber Bragg grating torque sensor signal and converting it into an electrical signal. A signal processing unit: for performing operations such as filtering, amplification, and calibration of the data. A demodulator: specifically for demodulating the signal of the fiber Bragg grating torque sensor. A communication interface: for sending the processed data to the interface of the host computer.

[0146] In some embodiments, through preprocessing and filtering, the demodulator can ensure that the data sent to the host computer has high quality, which helps to improve the accuracy of torque measurement. The preprocessing function of the demodulator reduces the computational burden on the host computer, enabling the host computer to focus on more complex analysis and control tasks. By performing preprocessing before data transmission, the demodulator helps to reduce data transmission errors and improve the overall reliability of the system.

[0147] In some embodiments, referring to Figure 7 , Figure 7 is a schematic diagram of the principle of torque detection provided by an embodiment of the present application. The fiber Bragg grating torque sensors ( Figure 7 the fiber Bragg grating torque sensor 1 and the fiber Bragg grating torque sensor 2 shown) and the processing mechanism ( Figure 7 the host computer shown) are connected through a demodulator ( Figure 7 the fiber Bragg grating demodulator shown). The demodulator is configured to receive and preprocess the detection data detected by the fiber Bragg grating torque sensor when the valve stem is in the motion state, and send the preprocessed detection data to the processing mechanism for determination of the torque.

[0148] As an example, in an industrial process that requires real-time monitoring of the valve stem torque, the demodulator can quickly respond and transmit data to ensure instant feedback and control of the system. In a remote monitoring system, the demodulator can ensure the stability and accuracy of data during transmission. The demodulator is an essential part of the intelligent valve stem system. By optimizing the data of the fiber Bragg grating torque sensor and ensuring the reliability of data transmission, it provides high-quality data input to the host computer, thus supporting the precise control and monitoring of the system.

[0149] In this way, by designing a target valve stem section with a smaller diameter to optimize the installation of the fiber Bragg grating torque sensor, the performance of the intelligent valve stem is significantly improved. This design not only reduces the interference of the fiber Bragg grating torque sensor on the overall structure of the valve stem, but also provides additional protection through the use of a metal protective shell, ensuring the long-term stability and reliability of the fiber Bragg grating torque sensor in the motion state, so that online measurement with long-term stability can be achieved. The optimization of the installation angle of the fiber Bragg grating torque sensor further improves the accuracy and comprehensiveness of torque detection, thus helping to real-time monitor the dynamic behavior of the valve stem and improve the safety and efficiency of valve operation.

[0150] Next, an exemplary application of the embodiments of the present application in an actual application scenario of an intelligent valve stem will be described.

[0151] In the embodiments of the present application, fiber Bragg grating torque sensors (FBG fiber Bragg grating torque sensors) are arranged on the surface of the valve stem along directions forming an angle of ±45° with the axis of the measured valve stem. According to the linear relationship between the valve stem torque and the central wavelength shift of the fiber Bragg grating torque sensor installed along the direction forming an angle of ±45° with the valve stem axis, the measurement of the valve torque is realized.

[0152] On the surface of the valve stem, one fiber Bragg grating torque sensor is arranged along each direction forming an angle of ±45° with the axis of the measured valve stem. By establishing the linear relationship between the valve stem torque and the central wavelength shift of any one of the fiber Bragg grating torque sensors installed along the direction forming an angle of ±45° with the valve stem axis, the valve torque can be obtained. Using two fiber Bragg grating torque sensors (FBG1 and FBG2) with the same strain and temperature sensitivity, they are respectively arranged along the directions forming an angle of ±45° with the axis of the measured valve stem ( Figure 5 ), the strain and temperature cross-sensitivity problem of the fiber Bragg grating torque sensor for measuring the valve stem torque can be solved; the fiber Bragg grating torque sensor is arranged on the surface of a specially designed section of the valve stem ( Figure 6 ), forming an intelligent valve stem with torque sensing function, which can be used as an intelligent component of the valve and will not be damaged during the assembly process.

[0153] In some embodiments, the intelligent valve stem provided by the embodiments of the present application includes a valve stem, which has a section with uniform stress. The diameter of this section is at least 3 mm smaller than the diameter of the valve stem in the adjacent section, and the length of this section is at least 3 cm, which is used to install the fiber Bragg grating torque sensor; two (metal-encapsulated) fiber Bragg grating torque sensors (FBG1 and FBG2), which are fixed on the surface of the section with uniform stress of the valve stem along the directions forming an angle of ±45° with the axis of the valve stem to be measured respectively by means of gluing or welding ( Figure 5 ); a metal protective shell, which is connected to the valve stem to be measured by welding and covers the section with uniform stress of the valve stem to protect the fiber Bragg grating torque sensor.

[0154] Under the condition of constant temperature, the relationship between the central wavelength of the fiber Bragg grating torque sensor and the torque of the valve stem to be measured is obtained through calibration:

[0155]

[0156] The steps for the intelligent valve stem with torque sensing function to measure torque are as follows:

[0157] Use the actuator to drive the valve to be measured to act. When the valve to be measured is acting, use the upper computer to collect the central wavelengths Δλ1 and Δλ2 of the fiber Bragg grating torque sensors (FBG1 and FBG2) through the fiber Bragg grating demodulator;

[0158] When the temperature of the valve stem to be measured remains unchanged, substituting the central wavelengths Δλ1 or Δλ2 of the collected fiber Bragg grating torque sensors (FBG1 and FBG2) into ΔλB in the above formula (8), the torque of the valve stem to be measured under the constant temperature condition can be calculated.

[0159] When the temperature of the valve stem to be measured changes, according to the relationship between the central wavelength offset of the fiber Bragg grating torque sensor and the maximum normal strain and temperature on the surface of the uniformly stressed section of the valve stem to be measured, the torque T of the valve stem to be measured is calculated as follows:

[0160]

[0161] Wherein, Δλ1 and Δλ2 are respectively the central wavelength offsets of the fiber Bragg grating torque sensors FBG1 and FBG2.

[0162] Substituting the central wavelengths Δλ1 and Δλ2 of the collected fiber Bragg grating torque sensors (FBG1 and FBG2) into formula (8), the torque of the valve stem to be measured under the variable temperature condition can be calculated, solving the problem of cross-sensitivity between strain and temperature existing in the measurement of valve stem torque by fiber Bragg grating.

[0163] In some embodiments, referring to Figure 8 , Figure 8 is a graph showing the change of the central wavelength of the fiber Bragg grating torque sensor with time provided by the embodiment of the present application, Figure 8 specifically, it is the change of the central wavelength of the fiber Bragg grating torque sensor with time during four full open-close strokes of an electric ball valve, Figure 8 in Figure 7 A is the change of the central wavelength of the fiber Bragg grating torque sensor installed along the +45° direction with time, Figure 8 in Figure 7 B is the change of the central wavelength of the fiber Bragg grating torque sensor installed along the -45° direction with time. Figure 8 in Figure 7 A and Figure 8 in Figure 7 B are the changes of the central wavelengths of the fiber Bragg grating torque sensors with time during the static characteristic test of the electric ball valve under 4 full open-close strokes. Since the two FBG fiber Bragg grating torque sensors are installed along the positive and negative 45 degrees of the valve stem axis respectively, and the stress directions are opposite, the change trends of the central wavelengths of the two fiber Bragg grating torque sensors are roughly opposite.

[0164] In some embodiments, referring to Figure 9 , Figure 9 is a schematic diagram showing the relationship between the central wavelength of the fiber Bragg grating torque sensor provided by the embodiment of the present application and the valve stem torque, Figure 9 in Figure 8 as shown in Figure 9 in Figure 8As shown in Fig. b, it is the opening stroke of the valve stem: the fiber Bragg grating torque sensor is installed at +45°, Figure 9 in Figure 8 As shown in Fig. c, it is the closing stroke of the valve stem: the fiber Bragg grating torque sensor is installed at -45°, Figure 9 in Figure 8 As shown in Fig. d, it is the closing stroke of the valve stem: the fiber Bragg grating torque sensor is installed at -45°. Figure 9 in Figure 8 (a)-(d) show the relationship and linear fitting curve between the central wavelength and torque of the fiber Bragg grating torque sensors installed along the positive and negative 45° of the axial direction of the ball valve stem during 4 closing strokes and opening strokes. The corrected determination coefficient Adj.R2 of the linear regression equation of the linear fitting curve is greater than 0.99. This result shows that the linearity of the fiber Bragg grating torque sensor is good. When the wavelength of the fiber Bragg grating torque sensor does not change and the ammeter reading does not jump during the closing and opening processes, the average value of the Bragg wavelength within 20 s after pausing the action is taken as the Bragg wavelength value corresponding to the torque value measured by the commercial sensor. Figure 9 in Figure 8 (a)-(d) The slope of the linear fitting curve represents the sensitivity of the fiber Bragg grating torque sensor. The FBG in the +45° direction is 0.715 pm / N·m, and the standard deviation does not exceed 0.0062 pm / N·m. The FBG in the -45° direction is 0.717 pm / N·m, and the standard deviation does not exceed 0.0063 pm / N·m.

[0165] Next, continue to describe the exemplary structure of the implementation of the torque detection device 455 based on the intelligent valve stem provided in the embodiment of the present application as a software module. In some embodiments, as Figure 2 shown, the software module stored in the torque detection device 455 based on the intelligent valve stem in the memory 450 may include: an acquisition module, configured to acquire the first detection data and the second detection data of the intelligent valve stem, where the first detection data is detected by a first fiber Bragg grating torque sensor installed on the intelligent valve stem, and the second detection data is detected by a second fiber Bragg grating torque sensor installed on the intelligent valve stem; a reference quantity determination module, configured to determine a torque reference quantity of the intelligent valve stem based on at least one of the first detection data and the second detection data; a torque determination module, configured to determine the torque of the intelligent valve stem based on the torque reference quantity and the valve stem parameters of the intelligent valve stem.

[0166] In some embodiments, the above reference quantity determination module is further configured to obtain the detection times of the first detection data and the second detection data, and determine a temperature influence factor of the intelligent valve stem at the detection times, where the temperature influence factor is used to indicate whether the temperature will affect the detection of the first fiber Bragg grating torque sensor and the second fiber Bragg grating torque sensor; based on the temperature influence factor, select target detection data from the first detection data and the second detection data; and determine the torque reference quantity of the intelligent valve stem based on the target detection data.

[0167] In some embodiments, the above reference quantity determination module is further configured to, when the temperature influence factor indicates that the temperature will affect the detection of the fiber Bragg grating torque sensor, determine the first detection data and the second detection data as the target detection data; when the temperature influence factor indicates that the temperature will not affect the detection of the fiber Bragg grating torque sensor, determine either the first detection data or the second detection data as the target detection data.

[0168] In some embodiments, the above reference quantity determination module is further configured to, when the target detection data includes the first detection data and the second detection data, determine the difference between the first detection data and the second detection data as the torque reference quantity; when the target detection data is the first detection data or the second detection data, determine the target detection data as the torque reference quantity.

[0169] In some embodiments, the above reference quantity determination module is further configured to determine the product of the torque reference quantity and the valve stem parameter as the candidate torque of the intelligent valve stem; when the torque reference quantity is the difference between the first detection data and the second detection data, multiply the candidate torque by a first coefficient to obtain the torque of the intelligent valve stem; when the torque reference quantity is the first detection data or the second detection data, multiply the candidate torque by a second coefficient to obtain the torque of the intelligent valve stem.

[0170] An embodiment of the present application provides an intelligent valve stem, including:

[0171] A valve stem, in which there is a target valve stem section, and the diameter of the target valve stem section is smaller than the diameters of other valve stem sections in the valve stem except the target valve stem section;

[0172] A fiber Bragg grating torque sensor, which is installed on the target valve stem section of the valve stem, and the size of the target valve stem section matches the size of the fiber Bragg grating torque sensor;

[0173] The fiber Bragg grating torque sensor is used to detect the detection data of the intelligent valve stem when the valve stem is in a moving state, and the detection data is used to determine the torque of the intelligent valve stem.

[0174] A metal protective shell, which is connected to the edge of the target valve stem section of the valve stem. The metal protective shell is used to protect the fiber Bragg grating torque sensor by covering the target valve stem section.

[0175] In some embodiments, the above-mentioned fiber Bragg grating torque sensor includes: a first fiber Bragg grating torque sensor, which is installed on the target valve stem section of the valve stem of the valve and then covered by a metal protective shell, and forms a positive 45-degree angle with the axial direction of the valve stem; a second fiber Bragg grating torque sensor, which is installed on the target valve stem section of the valve stem of the valve and then covered by a metal protective shell, and forms a negative 45-degree angle with the axial direction of the valve stem; the fiber Bragg grating torque sensor parameters of the first fiber Bragg grating torque sensor and the second fiber Bragg grating torque sensor are the same, and the installation positions of the first fiber Bragg grating torque sensor and the second fiber Bragg grating torque sensor on the target valve stem section are different.

[0176] In some embodiments, the valve stem is connected to a control mechanism, and the control mechanism is used to generate and transmit an operating force to the valve stem.

[0177] In some embodiments, the fiber Bragg grating torque sensor is connected to a processing mechanism, and the processing mechanism is used to receive and process the detection data detected by the fiber Bragg grating torque sensor when the valve stem is in a moving state, and determine the torque of the valve stem based on the detection data.

[0178] The embodiment of the present application provides a computer program product, which includes a computer program or computer executable instructions, and the computer program or computer executable instructions are stored in a computer-readable storage medium. The processor of the electronic device reads the computer executable instructions from the computer-readable storage medium, and the processor executes the computer executable instructions, so that the electronic device executes the above-mentioned torque detection method based on the intelligent valve stem in the embodiment of the present application.

[0179] The embodiment of the present application provides a computer-readable storage medium storing computer executable instructions, in which computer executable instructions are stored. When the computer executable instructions are executed by a processor, the processor will be caused to execute the torque detection method based on the intelligent valve stem provided in the embodiment of the present application. For example, as Figure 3 shown in the torque detection method based on the intelligent valve stem.

[0180] In some embodiments, the computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disc, or CD-ROM; or it may be various electronic devices including one or any combination of the above memories.

[0181] In some embodiments, the computer-executable instructions may be in the form of a program, software, software module, script, or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including being deployed as a stand-alone program or being deployed as a module, component, subroutine, or other unit suitable for use in a computing environment.

[0182] As an example, the computer-executable instructions may or may not correspond to a file in the file system, may be stored as part of a file that holds other programs or data, for example, in one or more scripts in a HyperText Markup Language (HTML) document, stored in a single file dedicated to the program being discussed, or, stored in multiple cooperating files (such as files that store one or more modules, subroutines, or portions of code).

[0183] As an example, the computer-executable instructions may be deployed to execute on one electronic device, or on multiple electronic devices located at one location, or, on multiple electronic devices distributed at multiple locations and interconnected by a communication network.

[0184] In summary, the embodiments of the present application have the following beneficial effects:

[0185] (1) By obtaining the first detection data and the second detection data of the intelligent valve stem, where the first detection data is detected by the first fiber Bragg grating torque sensor installed on the intelligent valve stem, and the second detection data is detected by the second fiber Bragg grating torque sensor installed on the intelligent valve stem, based on at least one of the first detection data and the second detection data, determine the torque reference quantity of the intelligent valve stem. Based on the torque reference quantity and the valve stem parameters of the intelligent valve stem, determine the torque of the intelligent valve stem. Two fiber Bragg grating torque sensors (the first fiber Bragg grating torque sensor and the second fiber Bragg grating torque sensor) are installed on the intelligent valve stem, which are respectively used to detect the first detection data and the second detection data. This configuration of dual fiber Bragg grating torque sensors can provide redundancy and increase the reliability of detection. Using two fiber Bragg grating torque sensors can reduce the random errors or systematic biases that may be introduced by a single fiber Bragg grating torque sensor, thereby improving the overall detection accuracy. Determining the torque reference quantity based on the data of the two fiber Bragg grating torque sensors can improve the confidence level of torque estimation. By using two fiber Bragg grating torque sensors to determine the torque reference quantity and combining it with the valve stem parameters of the intelligent valve stem, the accuracy of valve stem torque detection can be significantly improved, thus effectively enhancing the accuracy of valve stem torque detection.

[0186] (2) By using the temperature influence factor to judge the influence of temperature on the detection of the fiber Bragg grating torque sensor and taking corresponding data processing strategies according to its indication, the accuracy and reliability of the detection system can be significantly improved. When the temperature influence factor indicates that temperature will affect the detection of the fiber Bragg grating torque sensor, by combining the first detection data and the second detection data to determine the target detection data, the error caused by temperature changes can be effectively offset, ensuring the accuracy of the measurement results. On the contrary, when temperature does not affect the detection, directly using the data of any one of the fiber Bragg grating torque sensors as the target detection data simplifies the processing flow and improves the efficiency. This adaptive data processing method not only optimizes the performance of the system but also helps to reduce misjudgment and operation risks, thus bringing beneficial effects in ensuring product quality and production safety.

[0187] (3) In the case of requiring high-precision measurement, combining the detection data of the two fiber Bragg grating torque sensors to determine the difference as the torque reference quantity significantly improves the reliability and accuracy of the measurement results, helps to reduce errors and improve product quality. While in an environment with less interference factors such as temperature, directly using the data of a single fiber Bragg grating torque sensor as the torque reference quantity simplifies the measurement process, improves the measurement efficiency, and reduces complexity and cost. Generally, this strategy optimizes the working performance of the torque measurement system, enhances the adaptability and flexibility of the system, and is of great significance for ensuring the smoothness of the production process and improving the overall equipment performance.

[0188] (4) The intelligent valve stem can precisely adjust the torque value according to different measurement conditions. By multiplying the torque reference quantity by the valve stem parameters to determine the candidate torque, it can fully consider the physical characteristics of the valve stem, thus ensuring the accuracy of torque calculation. In the case of measurement deviation, the candidate torque is corrected using the first coefficient, effectively compensating for the errors caused by environmental factors and improving the precision of torque control. When the measurement data is stable, the torque value can be quickly and accurately determined by multiplying by the second coefficient, improving the work efficiency. This flexible torque adjustment strategy not only enhances the adaptability and reliability of the intelligent valve stem but also helps optimize the overall performance, ensuring the efficiency and safety of the production process.

[0189] (5) The intelligent valve stem provided by the embodiment of the present application realizes the precise measurement and protection of the valve stem torque by setting a target valve stem section on the valve stem and cooperating with a fiber Bragg grating torque sensor and a metal protective shell. The design of the target valve stem section makes the installation of the fiber Bragg grating torque sensor more compact, improving the accuracy and sensitivity of measurement. The introduction of the metal protective shell enhances the durability and reliability of the fiber Bragg grating torque sensor in harsh environments. It not only improves the monitoring and control level of the valve stem system but also helps reduce equipment failures and maintenance costs, thus improving the overall stability and economic benefits.

[0190] (6) By designing a target valve stem section with a smaller diameter to optimize the installation of the fiber Bragg grating torque sensor, the performance of the intelligent valve stem is significantly improved. This design not only reduces the interference of the fiber Bragg grating torque sensor on the overall structure of the valve stem but also ensures the stability and reliability of the fiber Bragg grating torque sensor in the moving state by providing additional protection with the metal protective shell. The optimized installation angle of the fiber Bragg grating torque sensor further improves the accuracy and comprehensiveness of torque detection, thus helping to monitor the dynamic behavior of the valve stem in real time and improving the safety and efficiency of valve operation.

[0191] As described above, the above are only embodiments of the present application and are not intended to limit the protection scope of the present application. Any modifications, equivalent replacements, and improvements made within the spirit and scope of the present application are included in the protection scope of the present application.

Claims

1. A torque detection method based on an intelligent valve stem, characterized in that: The method comprises: Acquire first detection data and second detection data of the smart valve stem, wherein the first detection data is detected by a first fiber Bragg grating torque sensor installed on the smart valve stem, and the second detection data is detected by a second fiber Bragg grating torque sensor installed on the smart valve stem; Determine a torque reference of the smart valve stem based on at least one of the first detection data and the second detection data; The torque of the smart valve stem is determined based on the torque reference and a valve stem parameter of the smart valve stem.

2. The method according to claim 1, characterized in that The step of determining a torque reference of the smart valve stem based on at least one of the first detection data and the second detection data comprises: Acquire the detection time of the first detection data and the second detection data, and determine the temperature influence factor of the smart valve stem at the detection time, wherein the temperature influence factor is used to indicate whether the temperature will affect the detection of the first fiber Bragg grating torque sensor and the second fiber Bragg grating torque sensor; Based on the temperature influence factor, selecting target detection data from the first detection data and the second detection data; Based on the target detection data, a torque reference of the smart valve stem is determined.

3. The method according to claim 2, characterized in that The selecting target detection data from the first detection data and the second detection data based on the temperature influence factor includes: When the temperature influence factor indicates that the temperature will affect the detection of the fiber Bragg grating torque sensor, determining the first detection data and the second detection data as the target detection data; When the temperature influence factor indicates that the temperature will not affect the detection of the fiber Bragg grating torque sensor, the first detection data or the second detection data is determined as the target detection data.

4. The method according to claim 2, characterized in that: The step of determining a torque reference of the smart valve stem based on the target detection data includes: When the target detection data includes the first detection data and the second detection data, determining the difference between the first detection data and the second detection data as the torque reference; When the target detection data is the first detection data or the second detection data, the target detection data is determined as the torque reference amount.

5. The method according to claim 1, characterized in that The step of determining the torque of the smart valve stem based on the torque reference and the valve stem parameter of the smart valve stem comprises: Determine the product of the torque reference and the valve stem parameter as the candidate torque of the smart valve stem; When the torque reference is the difference between the first detection data and the second detection data, multiplying the candidate torque by a first coefficient to obtain the torque of the smart valve stem; When the torque reference is the first detection data or the second detection data, the candidate torque is multiplied by a second coefficient to obtain the torque of the smart valve stem.

6. An intelligent valve stem, characterized in that: The smart valve stem comprises: A valve stem, wherein the valve stem has a target valve stem segment, wherein the diameter of the target valve stem segment is smaller than the diameters of other valve stem segments in the valve stem except the target valve stem segment; A fiber Bragg grating torque sensor, wherein the fiber Bragg grating torque sensor is mounted on a target valve stem segment of the valve stem, and the size of the target valve stem segment matches the size of the fiber Bragg grating torque sensor; The fiber Bragg grating torque sensor is used to detect and obtain detection data of the smart valve stem when the valve stem is in a moving state, and the detection data is used to determine the torque of the smart valve stem; A metal protective shell is connected to an edge of a target valve stem segment of the valve stem, and the metal protective shell is used to protect the fiber grating torque sensor by covering the target valve stem segment.

7. The smart valve stem according to claim 6, characterized in that: The valve stem is a cylinder, the bottom surface of the fiber Bragg grating torque sensor is in contact with the surface of the cylinder, and the fiber Bragg grating torque sensor comprises: A first fiber Bragg grating torque sensor, which is mounted on a target valve stem section of the valve stem of the valve and then covered by a metal protective shell, and forms a positive angle of 45 degrees with the axial direction of the valve stem; A second fiber Bragg grating torque sensor, which is installed on a target valve stem section of the valve stem of the valve and then covered by the metal protective shell, and forms a negative 45 degree angle with the axial direction of the valve stem; The first fiber Bragg grating torque sensor and the second fiber Bragg grating torque sensor have the same fiber Bragg grating torque sensor parameters, and the first fiber Bragg grating torque sensor and the second fiber Bragg grating torque sensor are installed at different positions on the target valve stem segment.

8. The smart valve stem according to claim 6, characterized in that: The valve stem is connected to a control mechanism, and the control mechanism is used to generate and transmit an operating force to the valve stem.

9. The smart valve stem according to claim 6, characterized in that: The fiber Bragg grating torque sensor is connected to a processing mechanism, and the processing mechanism is used to receive and process the detection data detected by the fiber Bragg grating torque sensor when the valve stem is in a moving state, and determine the torque of the valve stem based on the detection data.

10. The smart valve stem according to claim 9, characterized in that: The fiber grating torque sensor and the processing mechanism are connected via a demodulator, and the demodulator is used to receive and pre-process the detection data detected by the fiber grating torque sensor when the valve stem is in the motion state, and send the pre-processed detection data to the processing mechanism to determine the torque.

11. A torque detection device based on an intelligent valve stem, characterized in that: The device comprises: an acquisition module, used for acquiring first detection data and second detection data of the smart valve stem, wherein the first detection data is detected by a first fiber Bragg grating torque sensor installed on the smart valve stem, and the second detection data is detected by a second fiber Bragg grating torque sensor installed on the smart valve stem; A reference value determination module, configured to determine a torque reference value of the smart valve stem based on at least one of the first detection data and the second detection data; The torque determination module is used to determine the torque of the smart valve stem based on the torque reference and the valve stem parameters of the smart valve stem.

12. An electronic device, characterized in that: The electronic device comprises: A memory for storing computer executable instructions or computer programs; The processor is used to implement the torque detection method based on the intelligent valve stem as described in any one of claims 1 to 5 when executing the computer executable instructions or computer programs stored in the memory.

13. A computer-readable storage medium storing computer-executable instructions or a computer program, characterized in that: When the computer executable instructions or computer program are executed by a processor, the torque detection method based on the smart valve stem according to any one of claims 1 to 5 is implemented.

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