Annular cooler deviation adjusting method

Abstract

The invention relates to the technical field of operation and maintenance of circular coolers, and discloses a deviation adjusting method for a circular cooler. The problems that traditional adjustment depends on external power, fault positioning is fuzzy, and adjustment precision is insufficient are solved. According to the method, original data of the radial distance, the driving displacement, the real-time temperature and the frame strain value of a track are collected through a multi-source sensor, after preprocessing, four sub-item deviations and a comprehensive deviation coefficient are calculated, and the weight is corrected in combination with the operation duration of equipment; by comparing the deviation with a standard threshold value, a fault part and a cause are locked; a self-adaptive adjusting control module is additionally arranged, external power is not needed, dynamic adjustment is conducted through an electric base plate, a hydraulic positioning frame and other mechanisms, the adjusting process is detected in real time, and finally the deviation falls back to a standard threshold value through repeated testing and verification. According to the method, accurate fault positioning and automatic adjustment are achieved, the adjustment efficiency and stability are improved, the maintenance cost is reduced, and the method is suitable for annular cooler deviation adjustment under complex working conditions.

Description

Technical Field

[0001] This invention relates to the field of operation and maintenance technology of annular coolers, specifically a method for adjusting the deviation of an annular cooler. Background Technology

[0002] The annular cooler is the core equipment for cooling the finished sinter in the sintering process. Its stable operation directly determines the continuous production efficiency of the production line. It mainly consists of components such as a transmission device, a rotating body, a frame, side rollers, and support rollers. In actual operation, the rotating body rotates along the support rollers under the drive of the transmission device. Due to factors such as the difficulty in achieving perfect symmetry in the arrangement of the transmission device and uneven thermal expansion of the equipment, it cannot always rotate around the design center, inevitably resulting in varying degrees of deviation. Existing solutions have significant drawbacks: most steel plants rely solely on the side rollers to passively restrict displacement, allowing the deviation to develop unchecked, which easily leads to localized wear of the side rollers and damage to the rotating body track. When the track detaches from the support roller, it causes equipment failure. Some steel mills use steel plates between the side guard rollers and side rails for adjustment, which not only poses safety hazards but also makes it difficult to accurately control the adjustment amount, resulting in poor adjustment effects. In addition, existing related technologies either rely on external power to drive complex structures, which is costly and difficult to maintain; or they use traditional measurement methods that only adjust a single dimension without considering the combined causes such as thermal expansion and component wear, resulting in insufficient adjustment accuracy and poor adaptability. Therefore, there is an urgent need for a method to adjust the deviation of the ring cooler that does not require external power, is safe and efficient, can accurately locate faults, and can achieve self-correction, so as to solve the pain points of existing technologies. Summary of the Invention

[0003] The purpose of this invention is to provide a method for adjusting the misalignment of an annular cooler, so as to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a method for adjusting the misalignment of an annular cooler, comprising the following steps: S1: Multi-source operation data acquisition of the annular cooler: Multi-source sensors are deployed on the side rails of the rotating body of the annular cooler, the drive friction wheel, key nodes of the frame and the track area to synchronously collect raw operation data such as the radial distance of the track, the displacement of the drive device, the real-time temperature and the strain value of the frame, and record the data. S2: Data Preprocessing: Denoising and outlier removal are performed on the raw data. Kalman filtering is used to eliminate distorted data caused by vibration and electromagnetic interference, and outliers exceeding reasonable thresholds are removed to obtain clean data of track radial distance, drive friction wheel displacement, real-time temperature, and frame strain. S3: Calculation of deviation index: Based on the pre-processed radial distance of the track, displacement of the drive friction wheel, strain of the frame, and real-time temperature, four sub-item deviations are calculated: “average radial deviation of the track”, “drive coaxiality deviation”, “thermal expansion displacement deviation”, and “average deformation of the frame”. The weights of each deviation are adjusted by the equipment running time, and a comprehensive deviation coefficient is obtained to quantify the degree of deviation. S4: Deviation vs. Standard Difference Comparison: Compare the calculated individual deviations and overall deviation coefficients with the preset standard threshold for normal operation of the annular cooler to clarify the difference between each deviation and the standard value, and divide the deviation range into slight, moderate and severe deviation ranges. S5: Location of Deviation and Cause: Based on the comparison results of deviation differences, the corresponding fault location of deviation is located by the proportion distribution of the deviation of each item; the cause type is determined by combining the difference magnitude. S6: Self-rotation driven adaptive adjustment: An adaptive adjustment control module is added to receive deviation calculation data, fault location results and real-time monitoring data during the adjustment process in real time, and control the corresponding actuator to perform the action. No external power is required. The ring cooler deviation correction is completed by relying on the contact force generated by the self-rotation of the ring cooler. S7: Adjustment effect index evaluation: Automatically back up the entire process data of a single adjustment operation, re-measure the radial distance of the track, displacement of the drive friction wheel, real-time temperature, and frame strain data after adjustment, calculate the average value and fluctuation range of various deviations after adjustment, compare whether the deviations have fallen back to the standard threshold, and determine whether the adjustment effect meets the standard.

[0005] Preferably, the multi-source sensors in step S1 specifically include a laser rangefinder, a horizontal displacement sensor, a temperature sensor, and a strain sensor; 12 sets of laser rangefinders are evenly deployed along the circumference of the inner and outer ring tracks of the ring cooler, with a sampling frequency ≥15Hz, a measurement accuracy of ±0.01mm, and collect the original value of the radial distance of the track; the horizontal displacement sensor is installed on both sides of each driving friction wheel, with a measurement accuracy of ±0.01mm, and collects the original value of the horizontal displacement of the driving device; 6 sets of temperature sensors are evenly deployed along the circumference of the track, with a measurement accuracy of ±0.5℃, and collect the real-time original value of the temperature; the strain sensor is deployed at 8 key nodes of the rotating frame, with a measurement range of ±500με, and collects the original value of the frame strain.

[0006] Preferably, the specific formula for the Kalman filter algorithm in step S2 is as follows: ,in The filtered clean data at time k. The filtered value from the previous time step. This represents the Kalman gain, with a value ranging from 0.15 to 0.25. The data is the original data. Reasonable thresholds are set according to data type: the reasonable threshold for track radial distance is ±5mm of the track design radial reference value, the reasonable threshold for drive friction wheel displacement is ±3mm, the reasonable threshold for frame strain is ±300με, and the reasonable threshold for real-time temperature is ±50℃ of the ambient temperature reference temperature. Outlier removal adopts the rule of marking a single time the threshold is exceeded, and removing it after 3 consecutive times.

[0007] Preferably, the calculation method for each deviation and the overall deviation coefficient in step S3 is as follows: Average radial deviation of the track: ,in This represents the radial distance of the track after filtering. This serves as the radial reference value for track design. Drive coaxiality deviation: ,in , These are the filtered displacement values ​​on both sides of the driving friction wheel; Thermal expansion displacement deviation: ,in The coefficient of thermal expansion of the track material, This is the real-time temperature after filtering. The reference temperature is room temperature. This serves as the radial reference value for track design. Average deformation of the frame: ,in The strain value of the frame after filtering is given, and L is the distance between strain measurement points. The weight adjustment rule is: initial weight , , , For every 10,000 hours increase in the cumulative operating time t of the equipment, Increase by 5% Increase by 8%, and Remain unchanged; Overall deviation coefficient: ,in , This is the corrected weight.

[0008] Preferably, the preset standard thresholds for the normal operation of the ring cooler in step S4 are: average radial deviation of the track ≤ 1mm, drive coaxiality deviation ≤ 0.8mm, thermal expansion displacement deviation ≤ 0.7mm, average deformation of the frame ≤ 0.9mm, and comprehensive deviation coefficient ≤ 0.3; the deviation interval division standard is: when 0.1≤K<0.3, the ring cooler is in a slight deviation state; when 0.3≤K<0.6, the ring cooler is in a moderate deviation state; when K≥0.6, the ring cooler is in a severe deviation state; the difference range is calculated according to "deviation difference = measured deviation - standard threshold", a positive difference value indicates that it exceeds the standard, and the larger the absolute value of the difference value, the more serious the deviation.

[0009] Preferably, in step S5, the faulty parts include the track, drive device, and rotating frame. The positioning rules are as follows: if the proportion of a single sub-item deviation to the comprehensive deviation coefficient is >50%, then the component corresponding to that sub-item is identified as the core faulty part; if the sum of the proportions of two sub-item deviations is >60%, then it is determined to be a compound faulty part; the cause types include installation deviation, uneven thermal expansion, and component wear. The judgment criteria are as follows: if the deviation difference is ≤0.5mm and the equipment running time is <10000h, it is determined to be an installation deviation; if the difference between the real-time temperature and the ambient temperature reference temperature is >30℃ and the proportion of thermal expansion displacement deviation is >30%, it is determined to be uneven thermal expansion; if the equipment running time is ≥10000h and the deviation difference is >0.5mm, it is determined to be component wear.

[0010] Preferably, the specific adjustment method for different fault locations in step S6 is as follows: track faults include track installation deviation and track component wear: the adaptive adjustment control module first receives the average radial deviation of the track. and the distribution data of the measuring points, according to the formula: The required adjustment amount for the pad is calculated, where 1.1 is a safety margin coefficient. A control signal is then sent to the electric pad adjustment mechanism at the bottom of the track. A stepper motor drives the pad up and down with an accuracy of 0.01 mm / level. During adjustment, a laser rangefinder collects real-time data on the track's radial distance and flatness, synchronously feeding this data back to the adaptive adjustment control module. The module checks every 0.5 seconds to determine if the track surface flatness error is ≤0.1 mm / m and the average radial deviation is ≤1 mm. If these standards are not met, the pad adjustment amount is dynamically corrected; once the standards are met, the motor stops. When the ring cooler rotates, the trolley wheels roll along the adjusted track, and the rolling contact force between the wheels and rails generates a corrective torque pointing towards the center, further assisting the rotating body in returning to its original position. In case of drive device failure: the adaptive adjustment control module receives a drive coaxiality deviation... Data, calculate the horizontal adjustment amount of the drive frame Where 1.15 is the safety margin coefficient, a command is sent to the hydraulic positioning mechanism of the drive frame; the hydraulic mechanism performs horizontal displacement adjustment with a positioning accuracy of ≤0.02mm. During the adjustment process, the horizontal displacement sensor monitors the coaxiality data of the center lines of the friction wheel and the friction disc in real time; the module detects in real time whether the coaxiality error is ≤0.5mm. If it does not meet the standard, the hydraulic pressure and displacement are finely adjusted. After meeting the standard, the hydraulic mechanism is locked; during rotation, the friction force generated by the uniform contact between the friction wheel and the friction disc synchronously transmits the driving force to correct the force deviation; for uneven thermal expansion faults: the adaptive adjustment control module receives the thermal expansion displacement deviation. Based on real-time temperature data, calculate the stop block clearance compensation amount: 1.2 is the safety margin coefficient, which controls the action of the stop block gap adjustment mechanism. The stop block gap is adjusted within the range of 0-8mm. During the adjustment process, the laser rangefinder monitors the gap value between the stop block and the side rail in real time. The module detects whether the matching error between the gap and the thermal expansion is ≤0.1mm. If it does not meet the standard, it continues to fine-tune. Once it meets the standard, the adjustment stops. During rotation, the elastic contact force between the side rail and the stop block cancels out the non-uniform expansion displacement. Frame deformation fault: The adaptive adjustment control module receives the average deformation of the frame. Based on strain distribution data, the adjustment amount at each node is calculated according to the segmented correction logic. 1.1 is the safety margin coefficient, which controls the segmented correction mechanism of the control frame. By fine-tuning the tightness of the frame connection nodes, the centrifugal force and contact force generated by the rotation of the ring cooler are used to gradually restore the flatness of the frame. During the adjustment process, the strain sensor collects the frame strain data in real time and feeds it back to the module. The module self-checks whether the average deformation of the frame is ≤0.9mm and whether the strain value of each node is within ±300με. If the standard is not met, the tightness of the nodes is dynamically corrected. After the standard is met, the connection nodes are locked. During the entire adjustment process, the adaptive adjustment control module receives real-time data from all sensors every second. If the deviation data is detected to be stable within the preset range for 3 consecutive times, it is judged as qualified and all actuators are stopped. If the adjustment time exceeds 10 minutes and the standard is still not met, the module automatically triggers a phased pause, re-receives the latest deviation data, corrects the adjustment strategy, and then restarts the adjustment.

[0011] Preferably, the retest in step S7 should be performed after the annular cooler has rotated 2-3 times, using the same sensors and acquisition parameters as in step S1; the average value of each deviation after adjustment should be ≤ the corresponding standard threshold; the full process data backup includes the original data, preprocessing results, deviation calculation process, adjustment parameters, and retest data, stored in the equipment management system in the form of electronic archives, labeled with equipment number, adjustment date, fault location and cause; the standard for compliance is: the comprehensive deviation coefficient < 0.1, and all sub-item deviations fall back to the standard threshold. If the standard is not met, step S6 adjustment is repeated, with no more than 3 repetitions. If the standard is still not met, an alarm is triggered.

[0012] Compared with the prior art, the beneficial effects of the present invention are: This invention requires no external power; it relies solely on the contact force of the ring cooler's rotation to correct misalignment. It features a simple structure, low cost, and safe and efficient adjustment. Data is collected from multiple sensors, pre-processed, and quantified to calculate deviations. Weighting is applied based on equipment runtime to accurately pinpoint the location and cause of the fault, effectively solving the problem of ambiguous positioning in traditional adjustments. An adaptive adjustment control module is added to dynamically calculate adjustment amounts for different faults and detect and correct them in real time. This results in high adjustment accuracy and strong adaptability, capable of handling misalignment caused by single or combined factors such as installation deviations, drive unit failures, uneven thermal expansion, and frame deformation. After adjustment, the effect is verified through retesting, forming a complete closed loop. This significantly improves adjustment stability and efficiency, reduces equipment wear and failure risks, lowers maintenance costs, ensures continuous and stable operation of the ring cooler, and adapts to complex industrial operating conditions. Attached Figure Description

[0013] Figure 1 This is a flowchart illustrating the steps of a method for adjusting the misalignment of an annular cooler. Detailed Implementation

[0014] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0015] Please see Figure 1 As shown, the present invention provides a technical solution: a method for adjusting the misalignment of an annular cooler, comprising the following steps: S1: Multi-source operation data acquisition of the annular cooler: Multi-source sensors are deployed on the side rails of the rotating body of the annular cooler, the drive friction wheel, key nodes of the frame and the track area to synchronously collect raw operation data such as the radial distance of the track, the displacement of the drive device, the real-time temperature and the strain value of the frame, and record the data. S2: Data Preprocessing: Denoising and outlier removal are performed on the raw data. Kalman filtering is used to eliminate distorted data caused by vibration and electromagnetic interference, and outliers exceeding reasonable thresholds are removed to obtain clean data of track radial distance, drive friction wheel displacement, real-time temperature, and frame strain. S3: Calculation of deviation index: Based on the pre-processed radial distance of the track, displacement of the drive friction wheel, strain of the frame, and real-time temperature, four sub-item deviations are calculated: “average radial deviation of the track”, “drive coaxiality deviation”, “thermal expansion displacement deviation”, and “average deformation of the frame”. The weights of each deviation are adjusted by the equipment running time, and a comprehensive deviation coefficient is obtained to quantify the degree of deviation. S4: Deviation vs. Standard Difference Comparison: Compare the calculated individual deviations and overall deviation coefficients with the preset standard threshold for normal operation of the annular cooler to clarify the difference between each deviation and the standard value, and divide the deviation range into slight, moderate and severe deviation ranges. S5: Location of Deviation and Cause: Based on the comparison results of deviation differences, the corresponding fault location of deviation is located by the proportion distribution of the deviation of each item; the cause type is determined by combining the difference magnitude. S6: Self-rotation driven adaptive adjustment: An adaptive adjustment control module is added to receive deviation calculation data, fault location results and real-time monitoring data during the adjustment process in real time, and control the corresponding actuator to perform the action. No external power is required. The ring cooler deviation correction is completed by relying on the contact force generated by the self-rotation of the ring cooler. S7: Adjustment effect index evaluation: Automatically back up the entire process data of a single adjustment operation, re-measure the radial distance of the track, displacement of the drive friction wheel, real-time temperature, and frame strain data after adjustment, calculate the average value and fluctuation range of various deviations after adjustment, compare whether the deviations have fallen back to the standard threshold, and determine whether the adjustment effect meets the standard.

[0016] Further, in step S1, multi-source sensors are deployed on both sides of the inner and outer rings of the rotating body side rail of the annular cooler, at the connection points between the upper chord beam and the column at the eight key nodes of the frame, and in the track area, with 6 sets of sensors on each side, 4 sets of sensors on both sides, and at the connection points between the upper chord beam and the column at the eight key nodes of the frame. The multi-source sensors specifically include laser rangefinders, horizontal displacement sensors, temperature sensors, and strain sensors. Twelve sets of laser rangefinders are evenly deployed along the track circumference, with a sampling frequency set to 20Hz and a measurement accuracy of ±0.01mm. They are fixed to the frame by brackets and collect the original value of the radial distance of the track. Horizontal displacement sensors are installed on the supports on both sides of each driving friction wheel, with a measurement accuracy of ±0.01mm, and collect the original value of the horizontal displacement of the driving device. Six sets of temperature sensors are evenly deployed along the track circumference, embedded in pre-drilled holes on the side of the track, with a measurement accuracy of ±0.5℃, and collect the real-time original temperature value. Strain sensors are attached to the eight key nodes of the rotating body frame, with a measurement range of ±500με, and collect the original value of the frame strain. In this embodiment, the equipment has been running for 8000 hours, and the track design radial reference value is... =15000mm, normal temperature reference temperature =25℃, coefficient of thermal expansion of track material Q235B =11.5×10⁻ 6The basic parameters are: ℃ and strain gauge spacing L=500mm.

[0017] Furthermore, in step S2, the specific formula for the Kalman filter algorithm is as follows: ,in The filtered clean data at time k. The filtered value from the previous time step. This represents the Kalman gain, with a value ranging from 0.15 to 0.25. For the original data, Kalman gain The value of 0.22 falls within the reasonable range of 0.15-0.25. Real-time filtering is achieved through PLC programming. Targeted thresholds are set according to data type: track radial distance threshold is 15000mm±5mm, 14995mm-15005mm; drive friction wheel displacement threshold is ±3mm; frame strain threshold is ±300με; real-time temperature threshold is 25℃±50℃, -25℃-75℃. Outlier removal follows a rule of marking a single instance exceeding the threshold and removing it after three consecutive instances. This is automatically executed through PLC logic programming, ensuring that the final output data has a purity ≥99.5%, providing reliable input for subsequent deviation calculations.

[0018] Furthermore, in step S3, the calculation methods for each deviation and the overall deviation coefficient are as follows: Average radial deviation of the track: ,in This represents the radial distance of the track after filtering. As the radial reference value for track design, the filtered radial distances of the track collected by 12 sets of laser rangefinders are 15001.2mm, 15001.5mm, 14999.8mm, 15000.9mm, 15001.4mm, 14999.2mm, 15001.1mm, 14998.7mm, 15001.3mm, 14999.5mm, 15001.6mm, and 14998.9mm. Substituting these 12 sets of data, the absolute values ​​of each item are 1.2mm, 1.5mm, 0.2mm, 0.9mm, 1.4mm, 0.8mm, 1.1mm, 1.3mm, 1.3mm, 0.5mm, 1.6mm, and 1.1mm, respectively. The sum is 15.6mm. Based on the calculations in this embodiment... =1.3mm; Drive coaxiality deviation: ,in , The values ​​are the filtered displacement values ​​on both sides of the driving friction wheel, respectively. The displacement values ​​on both sides of the four driving devices are (0.4mm, 0.45mm), (0.5mm, 0.49mm), (0.3mm, 0.4mm), and (0.6mm, 0.53mm), respectively. The calculated values ​​for each group are... The thicknesses are 0.6mm, 0.7mm, 0.5mm, and 0.8mm respectively; the average value is taken. =0.65mm; Thermal expansion displacement deviation: ,in The coefficient of thermal expansion of the track material, This is the real-time temperature after filtering. The reference temperature is room temperature. The radial reference value for track design is used in this embodiment. =45℃, calculated as follows =0.345mm; Average deformation of the frame: ,in The filtered strain values ​​of the frame are given by L, where L is the spacing between strain measurement points. The filtered strain values ​​of the eight frame nodes are 1800με, 2100με, 1500με, 1900με, 2200με, 1700με, 2000με, and 1600με, respectively. The calculated deformations of each node are 0.9mm, 1.05mm, 0.75mm, 0.95mm, 1.1mm, 0.85mm, 1.0mm, and 0.8mm, respectively. The average value is calculated as follows. =1.1mm; The weight adjustment rule is: initial weight , , , For every 10,000 hours increase in the cumulative operating time t of the equipment, Increase by 5% Increase by 8%, and Remain unchanged; Overall deviation coefficient: ,in , The weights are adjusted as follows: Since the equipment has been running for 8000 hours < 10000 hours, the initial weights are used. , , , Comprehensive deviation coefficient .

[0019] Further, in step S4, preset standard thresholds are set as follows: average radial deviation of the track ≤ 1 mm, drive coaxiality deviation ≤ 0.8 mm, thermal expansion displacement deviation ≤ 0.7 mm, average frame deformation ≤ 0.9 mm, and comprehensive deviation coefficient ≤ 0.3. The calculation results of S3 are compared with the thresholds, and the deviation differences are as follows: Difference = 0.3mm、 Difference = -0.15mm Difference = -0.355mm The difference is 0.2mm, and the comprehensive deviation coefficient K is 0.724≥0.6, which is judged as a severe deviation.

[0020] Furthermore, in step S5, based on the deviation difference and proportion distribution from S4: The percentage is approximately 71.5% (0.4 × 1.3 / 0.724 ≈ 50%), which is greater than 50%. The percentage is approximately 15.2%, with the track identified as the core fault location and the frame as a secondary affected area, thus classifying it as a composite fault. This is further supported by the equipment's operating time of 8000h < 10000h. If the difference is 0.3mm≤0.5mm and the difference between real-time temperature and room temperature is 20℃<30℃, the track fault is determined to be caused by installation deviation, and the frame deformation is caused by slight installation stress.

[0021] Furthermore, in step S6, the specific adjustment process is as follows: according to the formula 1.1 represents the safety margin coefficient. The module sends adjustment commands to the electric pad mechanism, and the stepper motor drives the pad to rise and fall with an accuracy of 0.01mm / level. During the adjustment process, the laser rangefinder collects track radial distance and flatness data every 0.2 seconds and synchronously feeds it back to the module. The module checks every 0.5 seconds. When the track surface flatness error is first detected to be ≤0.1mm / m, When the value is 0.9mm ≤ 1mm, dynamically adjust the value to 1.4mm and continue fine-tuning; when it is detected 3 times consecutively... Once the gap stabilizes between 0.8mm and 0.9mm, the module issues a stop command, the motor locks in position, the annular cooler rotates, and the trolley wheel sets roll along the adjusted track. The rolling contact force between the wheels and rails generates a corrective torque of approximately 500 N·m, which assists the rotating body in returning to its original position. The equipment operates normally during the adjustment process without needing to be stopped.

[0022] Furthermore, in step S7, after the cooler rotates twice, the same sensor and parameters as in S1 are used for retesting. The retest data is as follows: =0.8mm =0.6mm =0.3mm =0.8mm, the comprehensive deviation coefficient K=0.08<0.1, all deviations have fallen back to within the standard threshold, and the adjustment is judged to be qualified. The entire process data is backed up through the industrial database, and the equipment number, adjustment date, fault location and cause are marked to facilitate subsequent maintenance traceability. If the standard is not met, the adjustment in S6 can be repeated. In this embodiment, the standard is met with one adjustment and no repeated operation is required.

[0023] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0024] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for adjusting the misalignment of an annular cooler, characterized in that, Includes the following steps: S1: Multi-source operation data acquisition of the annular cooler: Multi-source sensors are deployed on the side rails of the rotating body of the annular cooler, the drive friction wheel, key nodes of the frame and the track area to synchronously collect raw operation data such as the radial distance of the track, the displacement of the drive device, the real-time temperature and the strain value of the frame, and record the data. S2: Data Preprocessing: Denoising and outlier removal are performed on the raw data. Kalman filtering is used to eliminate distorted data caused by vibration and electromagnetic interference, and outliers exceeding reasonable thresholds are removed to obtain clean data of track radial distance, drive friction wheel displacement, real-time temperature, and frame strain. S3: Calculation of deviation index: Based on the pre-processed radial distance of the track, displacement of the drive friction wheel, strain of the frame, and real-time temperature, four sub-item deviations are calculated: "average radial deviation of the track", "drive coaxiality deviation", "thermal expansion displacement deviation" and "average deformation of the frame". The weight of each deviation is adjusted by combining the equipment running time, and a comprehensive deviation coefficient is obtained to quantify the degree of deviation. S4: Deviation vs. Standard Difference Comparison: Compare the calculated individual deviations and overall deviation coefficients with the preset standard threshold for normal operation of the annular cooler to clarify the difference between each deviation and the standard value, and divide the deviation range into slight, moderate and severe deviation ranges. S5: Location of Deviation and Cause: Based on the comparison results of deviation differences, the corresponding fault location of deviation is located by the proportion distribution of the deviations of each item; the cause type is determined by combining the difference magnitude. S6: Self-rotation driven adaptive adjustment: An adaptive adjustment control module is added to receive deviation calculation data, fault location results and real-time monitoring data during the adjustment process in real time, and control the corresponding actuator to perform the action. No external power is required. The ring cooler deviation correction is completed by relying on the contact force generated by the self-rotation of the ring cooler. S7: Adjustment effect index evaluation: Automatically back up the entire process data of a single adjustment operation, re-measure the radial distance of the track, displacement of the drive friction wheel, real-time temperature, and frame strain data after adjustment, calculate the average value and fluctuation range of various deviations after adjustment, compare whether the deviations have fallen back to the standard threshold, and determine whether the adjustment effect meets the standard.

2. The method for adjusting the misalignment of an annular cooler according to claim 1, characterized in that: In step S1, the multi-source sensors specifically include a laser rangefinder, a horizontal displacement sensor, a temperature sensor, and a strain sensor. Twelve sets of laser rangefinders are evenly deployed along the circumference of the inner and outer ring tracks of the ring cooler, with a sampling frequency ≥15Hz and a measurement accuracy of ±0.01mm, collecting the original value of the radial distance of the track. The horizontal displacement sensors are installed on both sides of each driving friction wheel, with a measurement accuracy of ±0.01mm, collecting the original value of the horizontal displacement of the driving device. Six sets of temperature sensors are evenly deployed along the circumference of the track, with a measurement accuracy of ±0.5℃, collecting the real-time original temperature value. The strain sensors are deployed at eight key nodes of the rotating frame, with a measurement range of ±500με, collecting the original value of the frame strain.

3. The method for adjusting the misalignment of an annular cooler according to claim 1, characterized in that: In step S2, the specific formula for the Kalman filter algorithm is as follows: ,in The filtered clean data at time k. The filtered value from the previous time step. This represents the Kalman gain, with a value ranging from 0.15 to 0.

25. The data is the original data. Reasonable thresholds are set according to data type: the reasonable threshold for track radial distance is ±5mm of the track design radial reference value, the reasonable threshold for drive friction wheel displacement is ±3mm, the reasonable threshold for frame strain is ±300με, and the reasonable threshold for real-time temperature is ±50℃ of the ambient temperature reference temperature. Outlier removal adopts the rule of marking a single time the threshold is exceeded, and removing it after 3 consecutive times.

4. The method for adjusting the misalignment of an annular cooler according to claim 1, characterized in that: In step S3, the calculation methods for each deviation and the overall deviation coefficient are as follows: Average radial deviation of the track: ,in This represents the radial distance of the track after filtering. This serves as the radial reference value for track design. Drive coaxiality deviation: ,in , These are the filtered displacement values ​​on both sides of the driving friction wheel; Thermal expansion displacement deviation: ,in The coefficient of thermal expansion of the track material, This is the real-time temperature after filtering. The reference temperature is room temperature. This serves as the radial reference value for track design. Average deformation of the frame: ,in The value is the strain of the frame after filtering, and L is the distance between strain measurement points; The weight adjustment rule is: initial weight , , , For every 10,000 hours increase in the cumulative operating time t of the equipment, Increase by 5% Increase by 8%, and Remain unchanged; Overall deviation coefficient: ,in , This is the corrected weight.

5. The method for adjusting the misalignment of an annular cooler according to claim 1, characterized in that: In step S4, the preset standard thresholds for normal operation of the ring cooler are: average radial deviation of the track ≤ 1mm, drive coaxiality deviation ≤ 0.8mm, thermal expansion displacement deviation ≤ 0.7mm, average frame deformation ≤ 0.9mm, and comprehensive deviation coefficient ≤ 0.

3. The deviation range division standard is: when 0.1≤K<0.3, the ring cooler is in a slight deviation state; when 0.3≤K<0.6, the ring cooler is in a moderate deviation state; when K≥0.6, the ring cooler is in a severe deviation state. The difference range is calculated as "deviation difference = measured deviation - standard threshold". A positive difference value indicates that the standard is exceeded. The larger the absolute value of the difference, the more serious the deviation.

6. The method for adjusting the misalignment of an annular cooler according to claim 1, characterized in that: In step S5, the faulty parts include the track, drive device, and rotating frame. The positioning rules are as follows: if the proportion of a single sub-item deviation to the comprehensive deviation coefficient is >50%, then the component corresponding to that sub-item is identified as the core faulty part; if the sum of the proportions of two sub-item deviations is >60%, then it is determined to be a compound faulty part. The cause types include installation deviation, uneven thermal expansion, and component wear. The judgment criteria are as follows: if the deviation difference is ≤0.5mm and the equipment running time is <10000h, it is determined to be an installation deviation; if the difference between the real-time temperature and the ambient temperature reference temperature is >30℃ and the proportion of thermal expansion displacement deviation is >30%, it is determined to be uneven thermal expansion; if the equipment running time is ≥10000h and the deviation difference is >0.5mm, it is determined to be component wear.

7. The method for adjusting the misalignment of an annular cooler according to claim 1, characterized in that: In step S6, the specific adjustment methods for different fault locations are as follows: track faults include track installation deviation and track component wear: the adaptive adjustment control module first receives the average radial deviation of the track. and the distribution data of the measuring points, according to the formula: The required adjustment amount for the pad is calculated, where 1.1 is a safety margin coefficient. A control signal is then sent to the electric pad adjustment mechanism at the bottom of the track. A stepper motor drives the pad up and down with an accuracy of 0.01 mm / level. During adjustment, a laser rangefinder collects real-time data on the track's radial distance and flatness, synchronously feeding this data back to the adaptive adjustment control module. The module checks every 0.5 seconds to determine if the track surface flatness error is ≤0.1 mm / m and the average radial deviation is ≤1 mm. If these standards are not met, the pad adjustment amount is dynamically corrected; once the standards are met, the motor stops. When the ring cooler rotates, the trolley wheels roll along the adjusted track, and the rolling contact force between the wheels and rails generates a corrective torque pointing towards the center, further assisting the rotating body in returning to its original position. In case of drive device failure: the adaptive adjustment control module receives a drive coaxiality deviation... Data, calculate the horizontal adjustment amount of the drive frame Where 1.15 is the safety margin coefficient, a command is sent to the hydraulic positioning mechanism of the drive frame; the hydraulic mechanism performs horizontal displacement adjustment with a positioning accuracy of ≤0.02mm. During the adjustment process, the horizontal displacement sensor monitors the coaxiality data of the center lines of the friction wheel and the friction disc in real time; the module detects in real time whether the coaxiality error is ≤0.5mm. If it does not meet the standard, the hydraulic pressure and displacement are finely adjusted. After meeting the standard, the hydraulic mechanism is locked; during rotation, the friction force generated by the uniform contact between the friction wheel and the friction disc synchronously transmits the driving force to correct the force deviation; for uneven thermal expansion faults: the adaptive adjustment control module receives the thermal expansion displacement deviation. Based on real-time temperature data, calculate the stop block clearance compensation amount: 1.2 is the safety margin coefficient, which controls the action of the stop block gap adjustment mechanism. The stop block gap is adjusted within the range of 0-8mm. During the adjustment process, the laser rangefinder monitors the gap value between the stop block and the side rail in real time. The module detects whether the matching error between the gap and the thermal expansion is ≤0.1mm. If it does not meet the standard, it continues to fine-tune. Once it meets the standard, the adjustment stops. During rotation, the elastic contact force between the side rail and the stop block cancels out the non-uniform expansion displacement. Frame deformation fault: The adaptive adjustment control module receives the average deformation of the frame. Based on strain distribution data, the adjustment amount at each node is calculated according to the segmented correction logic. 1.1 is the safety margin coefficient, which controls the segmented correction mechanism of the control frame. By fine-tuning the tightness of the frame connection nodes, the frame flatness is gradually restored in conjunction with the centrifugal force and contact force generated by the rotation of the ring cooler. During the adjustment process, the strain sensor collects the frame strain data in real time and feeds it back to the module. The module self-checks whether the average deformation of the frame is ≤0.9mm and whether the strain value of each node is within ±300με. If the standard is not met, the tightness of the nodes is dynamically corrected. After the standard is met, the connection nodes are locked. During the entire adjustment process, the adaptive adjustment control module receives real-time data from all sensors every second. If the deviation data is detected to be stable within the preset range for 3 consecutive times, the adjustment is judged to be qualified and all actuators are stopped. If the adjustment time exceeds 10 minutes and the standard is still not met, the module automatically triggers a phased pause, re-receives the latest deviation data, corrects the adjustment strategy, and then restarts the adjustment.

8. The method for adjusting the misalignment of an annular cooler according to claim 1, characterized in that: In step S7, the retest should be performed after the annular cooler has rotated 2-3 times, using the same sensors and acquisition parameters as in step S1. The average value of each deviation after adjustment should be ≤ the corresponding standard threshold. The entire process data backup includes the original data, preprocessing results, deviation calculation process, adjustment parameters, and retest data, which are stored in the equipment management system in the form of electronic archives, labeled with the equipment number, adjustment date, fault location, and cause. The standard for compliance is: the comprehensive deviation coefficient < 0.1, and all sub-item deviations fall back to within the standard threshold. If the standard is not met, step S6 is repeated for adjustment, with no more than 3 repetitions. If the standard is still not met, an alarm is triggered.

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