Submerged arc furnace electrode space positioning and arc discharge intensity detection method

Abstract

The invention discloses a submerged arc furnace electrode space positioning and arc discharge intensity detection method, which comprises the following steps of: obtaining an electromagnetic signal generated by an electric arc through up-down scanning detection, synchronously acquiring a vertical position signal corresponding to the electromagnetic signal, forming an electric arc intensity-height data sequence, removing an abnormal point, and determining the arc discharge intensity of the electric arc after the abnormal point is removed. Identifying a height coordinate corresponding to the maximum value of the arc intensity by adopting a peak search algorithm; and the size of a reaction zone in the submerged arc furnace is simulated through simulation testing according to the preprocessed arc intensity data, three-dimensional modeling is carried out in combination with height data, and the state of the arc in the furnace is visually presented. According to the method, the distribution curve of the electric arc electromagnetic field intensity changing along with the height is obtained through vertical scanning in the submerged arc furnace, the spatial position corresponding to the electric arc energy concentration area is determined, and the visual presentation of the position of the electrode in the furnace is achieved through the three-dimensional modeling technology. And a reliable basis is provided for optimizing an electrode control strategy, improving three-phase power balance and reducing unit energy consumption.

Description

TECHNICAL FIELD

[0001] The present application relates to a method for positioning the electrode space and detecting the arc intensity of an electric arc furnace, belonging to the technical field of ferroalloy, industrial silicon and calcium carbide smelting. BACKGROUND

[0002] In the smelting process of an electric arc furnace, electric energy is introduced into the charge through electrodes to form a high-temperature arc as the main heat source. The stability, length and spatial distribution of the arc in the furnace directly affect the uniformity of the temperature field in the reaction zone, the conversion efficiency of the raw materials and the overall energy consumption level. However, due to the fully enclosed structure of the electric arc furnace, the internal environment is in a high-temperature, high-dust and reducing atmosphere, and the traditional method cannot directly observe the actual position of the electrode tip and the shape of the arc.

[0003] At present, the industry generally relies on electrical parameters such as current, voltage and power to indirectly judge the furnace condition, and the operator adjusts the electrode pressure and lifting action by experience. This "black box" control mode has significant limitations: The estimation error of the electrode insertion depth is large, which easily leads to overlong or too short electrode insertion; the working state of the three-phase electrode is difficult to monitor synchronously, which easily causes power imbalance; there is a lack of intuitive data support, the regulation and control are lagging, and the product quality consistency is affected; long-term operation easily causes high flue gas temperature, local furnace lining erosion, high power consumption and frequent unplanned load control.

[0004] Existing methods for detecting the position of the electrode in the electric arc furnace mainly calculate the electrode length or movement distance indirectly to obtain the electrode position, but the actual working end face of the electrode in the electric arc furnace cannot be accurately positioned.

[0005] In order to accurately position the working end face of the electrode in the electric arc furnace, the improved technology establishes a mathematical model based on the heat conduction equation to indirectly determine the position of the electrode hot end face and the electrode length. However, due to the intense reaction during the smelting process of the electric arc furnace, the signal fluctuates greatly, and it is difficult for fixed detection devices to achieve accurate, real-time and repeatable arc positioning.

[0006] Therefore, it has become a key technical requirement to develop a detection method that can directly sense the arc signal and accurately position the spatial coordinates of the electrode working end under actual working conditions, which is crucial for the intelligent upgrading of the electric arc furnace. SUMMARY

[0007] The main purpose of the present application is to solve the problems of invisible internal state of the electric arc furnace, difficult determination of the electrode position and lack of data support for three-phase electrode control in the prior art, and to provide an arc space positioning and detection method based on vertical scanning and signal peak value recognition.

[0008] In order to achieve the above purpose, the present application provides a method for positioning the electrode space and detecting the arc intensity of an electric arc furnace, comprising the following steps: (1) Signal acquisition: periodically scan the inside of the electric arc furnace at a uniform speed to obtain the electromagnetic signals generated by the electric arc, and synchronously collect the vertical position signals corresponding to the electromagnetic signals; the scanning detection process is sequentially performed on the three-phase electrodes in a time-sharing manner; (2) Data preprocessing: the collected electromagnetic signals are analyzed to output the arc intensity data, and the synchronous collected vertical position information is used to construct the "arc intensity-height" data sequence, after removing the abnormal points, the peak value search algorithm is used to identify the height coordinate corresponding to the maximum arc intensity value; (3) Visual modeling: the arc intensity data after preprocessing in step (2) is simulated by simulation test to simulate the reaction zone size in the electric arc furnace, and three-dimensional modeling is performed combined with the height data, and the electric arc state in the furnace is visualized.

[0009] The present application obtains the distribution curve of the arc electromagnetic field intensity changing with the height by uniformly scanning the inside of the electric arc furnace, determines the spatial position corresponding to the arc energy concentration area combined with high-precision displacement feedback, and realizes the visual presentation of the electrode position in the furnace by using three-dimensional modeling technology, which provides reliable basis for optimizing the electrode control strategy, improving the three-phase power balance, and reducing the unit energy consumption.

[0010] Further, the electric arc furnace electrode space positioning and arc intensity detection method of the present application further comprises step (4): according to the visual data of three-dimensional modeling in step (3), the electrode pressing and lifting operation in the smelting process of the electric arc furnace is performed to ensure the balance of the smelting parameters of the three-phase electrode.

[0011] In step (1), the electromagnetic signal is collected by an electromagnetic induction probe; the electromagnetic induction probe adopts a multi-turn high permeability magnetic core coil structure, the number of turns is 40-100 turns, the frequency response range of the probe is 1 Hz-100 Hz, and an RLC low-pass filter circuit is used, and the cutoff frequency is 100 Hz, to meet the efficient capture requirements of the low-frequency magnetic field signal generated by the electrode arc of the electric arc furnace.

[0012] In step (2), the electromagnetic signal is analyzed and processed by the following method: the signal output by the electromagnetic induction probe is isolated, amplified, frequency-selective filtered, and zero-point offset calibrated, then quantized by ADC and converted to binary data, the MCU periodically collects the quantized binary data, calculates the arc intensity, and outputs the data to the PLC through RS485.

[0013] Further, in step (2), the sliding window smoothing algorithm is used to remove abnormal points; the quadratic interpolation method is used for peak search algorithm.

[0014] In step (3), the three-dimensional modeling is based on a lightweight three-dimensional engine to construct an electric arc furnace digital twin.

[0015] Further, the visual presentation of the arc state in the furnace in step (3) includes the insertion depth of each phase electrode, the arc intensity thermal map, and the three-phase current deviation percentage; and according to a preset alarm threshold, the abnormal state of the three-phase electrode insertion depth deviation and the three-phase power balance degree is alarmed and prompted.

[0016] The three-phase electrode insertion depth deviation calculation formula is as follows: The maximum difference of the three-phase electrode insertion depth is ΔZ = max(Z A ,Z B ,Z C )-min(Z A ,Z B ,Z C , In the formula, ΔZ represents the maximum difference of the three-phase electrode insertion depth, Z A ,Z B ,Z C respectively represent the actual positions (i.e. the height coordinates of the z-axis) of the A, B, and C three-phase electrode tips in the furnace; The three-phase power balance degree calculation formula is as follows: , In the formula, Balance represents the three-phase power balance degree, Pi represents the A, B, and C three-phase electrode power, and avg(P) represents the average value of the A, B, and C three-phase electrode power.

[0017] Further, the up-down uniform speed scanning detection of the electromagnetic signal in step (1) adopts a vertical scanning execution mechanism, and the synchronous collection of the vertical position signal adopts a displacement detection device; the vertical scanning execution mechanism is installed on the furnace shell of the submerged arc furnace; the electromagnetic induction probe and the displacement detection device are both installed on the vertical scanning execution mechanism and can reciprocate along the vertical direction with the vertical scanning execution mechanism.

[0018] In some embodiments, as preferred, the vertical scanning execution mechanism includes a servo driver, a ball screw, a guide slide rail, and a lifting rod; the servo driver is fixedly installed on the furnace shell of the submerged arc furnace; the ball screw is in transmission connection with the output end of the servo driver and drives the lifting rod to reciprocate along the guide slide rail; the electromagnetic induction probe and the displacement detection device are both fixedly installed on the lifting rod.

[0019] Compared with the prior art, the present application has the following advantages: (1) The present application determines the spatial position corresponding to the arc energy concentration area by obtaining the distribution curve of the arc electromagnetic field intensity with the height, and realizes the visual presentation of the electrode position in the furnace by using the three-dimensional modeling technology, breaking the limitation of traditional experience control furnace; (2) The detection result is objective and quantifiable, providing a direct basis for automatic electrode control; (3) Effectively identify three-phase imbalance, improve active power utilization, and reduce reactive power consumption; (4) Extend the life of the furnace lining, reduce unplanned shutdowns, and improve production stability; (5) The system has a compact structure, is adaptable to high temperature and harsh environment, is easy to maintain, and is easy to promote; (6) Support integration with smart factory systems to help enterprises achieve digital transformation. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the device used in the method for spatial positioning of electrodes and detection of arc intensity in a submerged arc furnace according to the present invention: In the figure, 1-arc induction probe, 2-displacement detection device, 3-vertical scanning actuator, 4-main control processing unit, 5-upper-level monitoring and modeling terminal; Figure 2 This is a flowchart of signal acquisition and processing in the method for spatial positioning of electrodes and detection of arc intensity in a submerged arc furnace according to the present invention; Figure 3 for Figure 1 Circuit diagram of electromagnetic signal conditioning and conversion in the main control processing unit; Figure 4 This is a typical response curve of arc intensity as a function of height in an embodiment of the present invention. Detailed Implementation

[0021] The present invention will now be described in detail with reference to the accompanying drawings.

[0022] like Figure 1 As shown, the system structure used in this invention for spatial positioning of electrodes and detection of arc intensity in a submerged arc furnace is as follows: Electromagnetic induction probe 1: A custom-designed high-temperature resistant electromagnetic sensing element, encapsulated in an insulating sheath, exhibiting strong anti-interference capabilities and a response frequency matching the characteristic frequency band of the electric arc. It is used to capture the alternating electromagnetic field generated by the arc discharge at the electrode tip. Based on the randomness of the magnetic field direction, the electromagnetic induction probe can capture and acquire magnetic field signals from different directions. Electromagnetic induction probe 1 employs a multi-turn high-permeability magnetic core coil structure, with 40–100 turns. The probe's frequency response range is 1 Hz–100 Hz, and it utilizes an RLC low-pass filter circuit with a cutoff frequency of 100 Hz to meet the requirements for efficient capture of low-frequency magnetic field signals generated by the electric arc at the electrode of the submerged arc furnace.

[0023] Vertical scanning actuator 3: An electromechanical integrated device consisting of a servo driver, a precision ball screw, a guide rail and a lifting rod, installed on the furnace shell, used to drive the arc induction probe 1 to perform uniform reciprocating motion along the vertical direction (Z axis), with a stroke range covering the typical working range of the electrode (0–1500mm) and a positioning accuracy better than ±5mm.

[0024] Position detection device 2: Incremental encoder or non-contact magnetostrictive displacement sensor installed on the lifting rod, real-time acquisition of the current position of the lifting rod, and output in the form of pulse sequence or analog current, to ensure that the position information is strictly synchronized with the arc signal.

[0025] Master control processing unit 4 (PLC): Industrial programmable controller with multi-channel analog input and high-speed counting module, receiving arc intensity and position signals, executing data alignment and peak search algorithm, identifying the height coordinate corresponding to the maximum value of the arc signal, and determining the actual position of the working end of the phase electrode.

[0026] Signal conditioning and conversion unit: Located in the master control processing unit 4, connected to the electromagnetic induction probe 1, with built-in preamplifier, bandpass filter circuit and A / D conversion module, converting weak analog signals into digital quantities or standard industrial signals, and outputting to the master control system.

[0027] Upper monitoring and modeling terminal 5 (industrial PC): Equipped with high-performance processor and graphics card, running dedicated monitoring software, communicating with PLC through Ethernet, receiving scan data stream, performing curve drawing, abnormal point elimination and trend analysis, and calling three-dimensional modeling engine to generate furnace interior electrode space layout model.

[0028] Three-dimensional visualization module: Based on lightweight three-dimensional engine (such as WebGL or Unity3DRuntime), constructing the digital twin of the submerged arc furnace, mapping the three-phase electrode detection results into the model, dynamically displaying information such as phase insertion depth, arc intensity thermal map, and three-phase current deviation percentage, supporting functions such as view switching, history playback and data export.

[0029] As shown in Figure 3 , the signal conditioning and conversion unit has the following signal conditioning process: (1) Signal isolation: Achieve electrical isolation between input and output, prevent ground loop interference and high pressure from damaging downstream equipment. The signal isolator uses DC-DC isolation module to supply power to the front and rear stages, and the signal is transmitted through optical coupling isolation.

[0030] (2) Signal amplifier: The original signal output by the electromagnetic induction probe 1 is a low-amplitude voltage of millivolts (mV), which is easily overwhelmed by system noise. Therefore, first use a high-precision, low-noise operational amplifier to build a same-phase amplification circuit to preliminarily amplify the signal. The instrumentation amplifier architecture has high common-mode rejection ratio (CMRR > 80dB) and low input offset voltage characteristics, which can effectively suppress common-mode interference. The gain is configured by external adjustable resistors, with a range of 2 to 15 times to adapt to signal dynamic changes in different situations, significantly improving the signal-to-noise ratio (SNR) and providing stable input for subsequent processing.

[0031] (3) Band-pass filter, due to the existence of serious interference and its harmonics, high-frequency switching noise and other in the electric arc furnace site, the amplified signal needs to be frequency selective filtering. This step uses a second-order active band-pass filter circuit, the center frequency is locked in the main energy frequency band of the arc discharge - 50 Hz, to accurately retain the arc characteristic signal.

[0032] (4) Signal linearization / zeroing, through the adjustable potentiometer to offset the zero point calibration, hardware gain to achieve full-scale calibration, so as to eliminate the probe zero drift, ensure that the output signal in the whole measurement range and the arc intensity keep good linear correspondence.

[0033] (5) ADC conversion, the collected arc magnetic field intensity signal is captured at fixed time intervals, the collected signal samples are mapped to a limited discrete level, and the quantization processing is carried out; then the quantized level is converted into binary digital output.

[0034] (6) MCU processing, the maximum value, minimum value and average value of the continuous 10 sampling points are processed, to ensure the high-fidelity collection of the arc intensity signal. Finally, the digital quantity is converted into the corresponding arc intensity value (unit: mV) according to the calibration curve, and is uploaded to the PLC through the RS485 communication interface using the Modbus RTU protocol.

[0035] This embodiment takes a 36MVA closed type silicon manganese electric arc furnace of a certain enterprise as the application object, deploys the above-mentioned electrode space positioning and arc intensity detection system, periodically scans and detects the A, B and C three-phase electrodes, and realizes the accurate perception and visual presentation of the arc state in the furnace.

[0036] 1. System deployment and hardware configuration 1) Electromagnetic induction probe: custom anti-interference electromagnetic induction sensor, packaged in high-temperature resistant insulating material, with a maximum temperature resistance of 120℃, suitable for high-temperature environment around the furnace shell; 2) Vertical scanning actuator: precision lead screw driven by servo motor, driving the probe to move vertically along the electrode axis (Z direction), with a stroke of 0-2000mm and a speed of 50mm / s; 3) Position detection device: incremental encoder or non-contact magnetostrictive displacement sensor, with a resolution of 0.1mm, uploading the probe height coordinates in real time; 4) Main control processing unit: PLC (Nanjing Keyuan SC500 series) synchronously collects the arc intensity and position signals; 6) Upper monitoring and modeling terminal: industrial PC (i7 processor, 32GB memory, independent graphics card), running self-developed monitoring software, supporting three-dimensional modeling and data storage; 7) Communication: PLC and industrial PC transmit raw scanning data through industrial Ethernet (TCP / IP).

[0037] 2. Detection process and step execution, as shown in Figure 2 The system is set to automatically start a full furnace scan every 10 minutes (time interval adjustable), and the specific process is as follows: (1) Start scanning instruction After receiving the timing trigger signal, the PLC sends a motion command to the servo drive to control the vertical scanning execution mechanism to drive the electromagnetic probe to move uniformly from the upper dead point (Z = 2000mm) to the lower dead point (Z = 0mm). Z Z

[0038] (2) Signal acquisition and data synchronization During the movement, the system synchronously collects two sets of data with a period of 100ms: Position signal: from displacement detection device, unit: mm; Arc intensity signal: after conditioning, converted to voltage signal by ADC, unit: mV.

[0039] (3) Peak identification and electrode position determination After filtering out abnormal points by sliding average filtering of the "height-intensity" data sequence collected by the PLC, the quadratic interpolation method is used to accurately locate the height coordinate corresponding to the maximum arc intensity. For example: A phase: the arc peak appears at Z = 1620mm; B phase: the arc peak appears at Z = 1740mm; C phase: the arc peak appears at Z = 1600mm.

[0040] Through this coordinate position value, combined with the distance from the bottom of the scanning execution mechanism to the furnace bottom, the current working end actual insertion depth of each phase electrode can be determined.

[0041] 3. Server-side signal processing and three-dimensional modeling process After the industrial PC receives the data, the following processing flow is executed: (1) Data analysis and curve drawing The software analyzes the data packet to generate an "arc intensity-height" curve, as shown in Figure 4

[0042] (2) Three-dimensional modeling and visual presentation ​​​​In the present invention, three-dimensional modeling is an important link to realize the visualization of electrode spatial distribution and arc intensity in the internal of the electric arc furnace. The process relies on a special software platform on an industrial PC, based on the concept of Digital Twin, dynamically maps the electrode position data and arc intensity information collected by PLC to the pre-constructed three-dimensional geometric model of the electric arc furnace, generating intuitive and interactive views of the internal state of the furnace. The specific modeling process is divided into the following five stages: a. Three-dimensional geometric model construction A high-precision three-dimensional digital model consistent with the actual structure of the electric arc furnace is established. According to the design drawings of the electric arc furnace, a static model is constructed, which includes the following key components: Furnace type (cylindrical, diameter 10.8m, depth 6m); Furnace cover (with three electrode holes, in equilateral triangle distribution, spacing 1.5m); Three electrode columns (diameter 1.6m); Carbon brick layer at the bottom of the furnace and the position of the tapping hole; The model is exported in STL format for easy loading in lightweight three-dimensional engines.

[0043] Coordinate system definition, establish a right-handed rectangular coordinate system: Origin (0, 0, 0) is located at the center of the furnace bottom; Z-axis is vertically upward (electrode movement direction), X and Y axes are horizontally distributed; All subsequent data are mapped based on this coordinate system.

[0044] b. Detection data analysis and coordinate mapping Input data: three-phase electrode detection results from PLC, each phase includes: Electrode working end height Z max (unit: mm) Arc intensity peak value S max Scan timestamp Data processing flow: industrial PC receives JSON format data packets sent by PLC through TCP / IP, { "phase": "A", "z_position": 1620, "arc_strength": 508, "timestamp": "2025-04-05T10:23:15" } Software parses three-phase data and calculates key indicators: Three-phase insertion depth deviation: Δ Z=max( Z A , Z B , Z C )-min( Z A , Z B , Z C ), Three-phase power balance calculation: .

[0045] c. Visualization and rendering of electric arc intensity Directly below each phase electrode ( Z = Z Within a range of ±100mm, a flat cylinder or ellipsoid is generated as an "arc energy cloud". Color mapping technology is used. Low intensity → Blue (#0000FF) Medium intensity → Yellow (#FFFF00) High intensity → Red (#FF0000) The color gradient is calculated in real time on the GPU through the GLSL shader, and the transparency (alpha) can be adjusted to achieve a "glowing" effect. Arc cloud size and S max The intensity is directly proportional to the volume, and the stronger the visual impact.

[0046] Example: The B-phase arc intensity is 550, the position is 1740, the color is bright red, and the arc cloud volume is the largest. The C-phase arc intensity is 480, the position is 1600, the color is orange-yellow, and the size is relatively small. This visually reflects that the B-phase arc energy is the strongest, but its location is relatively shallow.

[0047] d. Dynamic updates and interactive functions Real-time performance: The 3D model refreshes automatically after each scan, without the need for a restart; It supports the "history playback" function, allowing users to select any point in time to view the electrode status at that time.

[0048] User interaction: Supports view control such as mouse drag rotation, scroll wheel zoom, and pan; The hovering electrode displays detailed information: phase, insertion depth, arc intensity, and recommended operation; an alarm box pops up when ΔZ>100mm or the three-phase power balance is <90%. Cross section view: switchable to XZ or YZ cross section, view electrode to bottom distance; Comparison mode: display current and last detection results side by side, facilitate evaluation of adjustment effect.

Claims

1. A method for positioning and detecting the arc discharge intensity of a furnace electrode, characterized in that, It comprises the following steps: (1) Signal acquisition: periodically scan and detect the electromagnetic signal generated by the electric arc in the furnace at a uniform speed up and down, and synchronously collect the vertical position signal corresponding to the electromagnetic signal; the scanning and detection process is carried out in turn for the three-phase electrodes in a time-sharing manner; (2) Data preprocessing: the collected electromagnetic signal is analyzed to output the arc intensity data, and the synchronous collected vertical position information is constructed to form an "arc intensity-height" data sequence, after removing abnormal points, the peak value search algorithm is used to identify the height coordinate corresponding to the maximum arc intensity value; (3) Visual modeling: the arc intensity data after preprocessing in step (2) is simulated to simulate the reaction zone size in the furnace, and three-dimensional modeling is carried out combined with the height data, and the electric arc state in the furnace is visualized.

2. The method of claim 1, wherein the method further comprises: It also comprises the following steps: (4) According to the visual data of three-dimensional modeling in step (3), the electrode release and lifting operation in the smelting process of the furnace is carried out to ensure the balance of the smelting parameters of the three-phase electrodes.

3. The method of claim 1, wherein the method further comprises: The electromagnetic signal in step (1) is collected by an electromagnetic induction probe; the electromagnetic induction probe adopts a multi-turn high permeability magnetic core coil structure and an RLC low-pass filter circuit, the number of turns of the multi-turn high permeability magnetic core coil is 40-100 turns, the frequency response range of the probe is 1 Hz-100 Hz, and the cut-off frequency of the RLC low-pass filter circuit is 100 Hz.

4. The method of claim 1, wherein the method further comprises: In step (2), the electromagnetic signal is processed by the following method: the signal output by the electromagnetic induction probe is isolated, amplified, frequency-selectively filtered, and zero-point offset calibrated, then quantized by ADC and converted to binary data, the MCU periodically collects the quantized binary data, calculates the arc intensity, and outputs the data to the PLC through RS485.

5. The method of claim 1, wherein the method further comprises: In step (2), the sliding window smoothing algorithm is used to remove abnormal points; the peak value search algorithm uses the quadratic interpolation method.

6. The method of claim 1, wherein the method further comprises: In step (3), the three-dimensional modeling is based on a lightweight three-dimensional engine to build a digital twin of the furnace.

7. The method of claim 6, wherein the method further comprises: In step (3), the visual presentation of the electric arc state in the furnace includes the insertion depth of each phase electrode, the arc intensity thermal map, and the three-phase current deviation percentage; and according to the preset alarm threshold, the abnormal state of the insertion depth deviation of the three-phase electrode and the three-phase power balance degree is alarmed and prompted.

8. The method of claim 7, wherein the method further comprises: The calculation formula of the insertion depth deviation of the three-phase electrode is as follows: Maximum difference of the insertion depth of the three-phase electrodes ΔZ = max(Z A ,Z B ,Z C )-min(Z A ,Z B ,Z C ), wherein ΔZ represents the maximum difference of the insertion depth of the three-phase electrodes, Z A ,Z B ,Z C respectively represent the actual positions of the tips of the A, B, and C three-phase electrodes in the furnace. The calculation formula of the three-phase power balance degree is as follows: ， In the formula, Balance represents the three-phase power balance degree, Pi represents the power of A, B, and C three-phase electrodes, and avg(P) represents the average value of the power of A, B, and C three-phase electrodes.

9. The method of claim 3, wherein the method further comprises: In step (1), the up and down uniform speed scanning detection of the electromagnetic signal uses a vertical scanning execution mechanism, and the synchronous collection of the vertical position signal uses a displacement detection device; the vertical scanning execution mechanism is installed on the furnace shell of the furnace; the electromagnetic induction probe and the displacement detection device are installed on the vertical scanning execution mechanism and can reciprocate along the vertical direction with the vertical scanning execution mechanism.

10. The method of claim 9, wherein the method further comprises: The vertical scanning execution mechanism comprises a servo driver, a ball screw, a guide slide rail and a lifting rod; the servo driver is fixedly installed on the furnace shell of the submerged arc furnace; the ball screw is in transmission connection with the output end of the servo driver and drives the lifting rod to reciprocate along the guide slide rail; the electromagnetic induction probe and the displacement detection device are respectively fixedly installed on the lifting rod.

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