Remote operation and maintenance system for gas pressure station for double-chamber kiln

Abstract

The present invention discloses a remote operation and maintenance system for a gas boosting station for a double-chamber kiln, which relates to the technical field of operation and maintenance of double-chamber kilns, and includes a speed range acquisition module, a trajectory deviation range acquisition module, a fan blade fault signal generation module and a shutdown control module; by obtaining the real-time deviation value of the fan blade and the fan speed in real time, comparing and analyzing and generating a fan blade fault signal, and triggering an early warning mechanism at the same time, when it is detected that the trajectory deviation exceeds the normal range, a fan blade fault signal is generated, and the system automatically triggers the early warning mechanism, and reminds the operation and maintenance personnel to deal with it in time through sound and light alarms, text message notifications, etc. When it is detected that the trajectory deviation exceeds the normal range, the system automatically triggers the early warning mechanism, which can enable the operation and maintenance personnel to respond to the fan blade fault quickly, and promptly notify the operation and maintenance personnel to take corresponding measures, effectively avoiding the occurrence of potential faults, improving the reliability and stability of the system, and improving the operation and maintenance efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of double-chamber kiln operation and maintenance, and in particular to a remote operation and maintenance system for a gas pressure station for a double-chamber kiln. Background Art

[0002] The double-chamber kiln is an important industrial furnace equipment, widely used in the metallurgy, building materials, and other industries. The gas booster station is a key link in providing a stable gas supply for the double-chamber kiln. As an important energy medium, gas plays a vital role in the production process of the double-chamber kiln. Rational utilization of gas resources, improving energy efficiency, and reducing production costs are important goals pursued by enterprises. The effective operation of the gas booster station ensures stable gas pressure during transportation, improves gas combustion efficiency, and thus achieves efficient energy utilization. With the continuous development of automation and intelligent technologies, the demand for remote operation and maintenance in industrial production is increasing.

[0003] Patent publication number CN116659646A discloses a machine vision-based wind blade vibration detection method and device, which relates to the field of blade vibration detection. The method comprises: collecting wind blade vibration images and converting the wind blade vibration images into digital image information; preprocessing and preliminary denoising the digital image information, and performing deep denoising on the preliminary denoised digital image information based on a deep learning recognition model trained on historical wind blade images; amplifying the digital image information based on an adaptive video amplification method, and extracting the displacement time history response of the wind blade vibration from the amplified video through a sub-pixel template matching algorithm; normalizing the displacement time history response to obtain the actual displacement time history response, and performing fast Fourier transform on the actual displacement time history response to obtain the vibration frequency of the wind blade. The method has the advantages of high reliability, strong anti-interference ability, simple installation, low cost, targeted feature extraction, and high recognition accuracy.

[0004] Fan blades are the most important components of a fan. If hidden dangers are not monitored and handled in time, the performance and safety of the fan will be affected. Therefore, it is crucial to monitor the status of the fan blades and diagnose faults.

[0005] However, when monitoring the operating status of the fan, especially the operating trajectory of the fan blades, it is difficult to intuitively and accurately understand the actual operating trajectory of the fan blades, it is impossible to analyze the position changes of the fan blades passing through a fixed area, and it is impossible to detect minor abnormalities in the operation of the fan blades in time, resulting in the inability to detect fan failures or abnormalities in time; based on this, a remote operation and maintenance system for the gas boosting station for double-chamber kilns is proposed. Summary of the Invention

[0006] The purpose of the present invention is to provide a remote operation and maintenance system for a gas pressure station for a double-chamber kiln, which solves the technical problems of being unable to intuitively and accurately understand the actual operating trajectory of the fan blades and being unable to timely discover minor anomalies in the operation of the fan blades.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] The remote operation and maintenance system of the gas pressure station for double-chamber kilns includes:

[0009] The speed range acquisition module obtains multiple speed ranges of the fan by dividing them into equal intervals according to the preset upper and lower limits of the fan speed;

[0010] The trajectory deviation range acquisition module analyzes the operating images of the fan blades in each speed range to obtain the trajectory deviation range corresponding to each speed range;

[0011] The fan blade fault signal generation module obtains the deviation value of the fan blade and the current real-time speed of the fan in real time, obtains the comparison deviation range from the corresponding trajectory deviation range in each speed interval, compares and analyzes the real-time deviation value of the fan blade with the comparison deviation range, and generates a fan blade fault signal based on the analysis result;

[0012] The shutdown control module compares the difference between the real-time deviation value of the fan blade and the trajectory deviation upper limit value of the comparison deviation range. When the difference is greater than the preset threshold value Y3, a shutdown signal is generated to shut down the fan.

[0013] As a further solution of the present invention, a specific method for obtaining multiple speed ranges of the fan is:

[0014] The fan speed upper limit ZA and lower limit ZB are preset, and the upper limit and lower limit are divided into equal intervals according to a uniform preset interval ZC to obtain multiple speed intervals.

[0015] As a further solution of the present invention, the specific method of obtaining the trajectory deviation range corresponding to each speed range is:

[0016] A1: Randomly select one of the fan speed ranges as the target speed range;

[0017] The camera device installed inside the fan is used to capture the running image of the fan blade at a time interval T. The position trajectory of the fan blade in the preset image area is obtained repeatedly, and then the analysis images of multiple fan blades are obtained. Here, the time interval T is set to 3 seconds.

[0018] A2: Select one of the multiple analysis images as the target image. Set a two-dimensional coordinate system and multiple calibration lines within the target image. Obtain the coordinates of the intersections between the blade trajectory and each calibration line, as well as the coordinates of the target image center. Calculate and analyze the distances between each intersection and the target image center to obtain the maximum and minimum offset values of the target image.

[0019] A3: Repeat A2 to analyze multiple analysis images to obtain the maximum offset value PAa and the minimum offset value PBa corresponding to each analysis image. Calculate the discrete value U of the maximum offset value PAa. Analyze the discrete value U to obtain the upper limit of the trajectory deviation in the target speed range. Use the minimum of the minimum offset values as the lower limit of the trajectory deviation in the target speed range to generate the trajectory deviation range corresponding to the target speed range. Here, a represents different analysis images, a=1, 2, ..., e, and e represents the number of analysis images, e≥1.

[0020] A4: Repeat steps A1-A3 to obtain the trajectory deviation range corresponding to the fan blades in each speed range.

[0021] As a further solution of the present invention, the specific method of analyzing the discrete value U to obtain the upper limit of the trajectory deviation in the target speed range is:

[0022] When the discrete value U is less than the preset value Y1, the mean PAp of PAc is used as the upper limit EA1 of the trajectory deviation in the target speed range. When U is greater than or equal to the preset value Y1, the values with larger deviations from the mean PAp are deleted in ascending order according to the numerical values corresponding to PAc, and the number b of deleted values is recorded. At the same time, the discrete degree value is recalculated at each deletion until the discrete value satisfies the requirement of being less than the preset value Y1. When the number b of deletions is greater than the preset value Y2, the average of the maximum and minimum values in PAc is used as the upper limit EA1 of the trajectory deviation in the target speed range. When the number b of deletions is less than or equal to the preset value Y2, the mean PAp of PAc is used as the upper limit EA1 of the trajectory deviation in the target speed range.

[0023] As a further solution of the present invention, the specific method of obtaining the maximum offset value and the minimum offset value of the target image is:

[0024] Set multiple calibration lines from top to bottom in the target image, obtain the intersection coordinates Bi (BXi, BYi) between the blade trajectory in the target image and each calibration line, and obtain the center point coordinates Z (ZX, ZY) of the target image at the same time. The distance calculation formula is: Calculate the distance Li between each intersection point Bi in the target image and the center point Z, take the maximum value of the distance Li as the maximum offset value of the target image, and the minimum value of the distance Li as the minimum offset value of the target image, where i refers to different calibration lines, i is a positive integer, and i≥1.

[0025] As a further solution of the present invention: the specific method of determining and generating the fan blade fault signal is:

[0026] The real-time speed of the fan and the comparison deviation range relative to the real-time speed are obtained. When the speed does not fall within the comparison deviation range, a fan blade fault signal is generated. When the real-time speed falls within the comparison deviation range, no processing is performed.

[0027] As a further solution of the present invention, a specific method for obtaining the position trajectory of the fan blades within the preset area of the image is as follows:

[0028] The rectangular area in the running image is intercepted to obtain the position trajectory of the fan blades in the preset area of the image.

[0029] As a further solution of the present invention: further comprising a shutdown control module;

[0030] The shutdown control module obtains the difference between the real-time deviation value of the fan blade and the upper limit value of the trajectory deviation of the comparison deviation range. When the difference is greater than the preset threshold value Y3, a shutdown signal is generated to shut down the fan. Otherwise, no processing is performed.

[0031] Beneficial effects of the present invention:

[0032] (1) The present invention obtains the real-time deviation value of the fan blade and the fan speed in real time, compares and analyzes and generates a fan blade fault signal, and triggers an early warning mechanism at the same time. When it is detected that the trajectory deviation exceeds the normal range, the fan blade fault signal is generated, and the system automatically triggers the early warning mechanism, which will immediately sound an alarm and remind the operation and maintenance personnel to deal with it in time through sound and light alarms, text message notifications, etc. When it is detected that the trajectory deviation exceeds the normal range, the system automatically triggers the early warning mechanism, which enables the operation and maintenance personnel to quickly respond to the fan blade fault and promptly notify the operation and maintenance personnel to take corresponding measures, effectively avoiding the occurrence of potential faults, improving the reliability and stability of the system, and improving the operation and maintenance efficiency;

[0033] (2) The present invention generates a shutdown signal to shut down the fan when the difference between the real-time deviation value of the fan blade and the upper limit value of the trajectory deviation in the comparison deviation range is greater than a preset threshold value. This makes it impossible to continue to operate the fan when the blade position deviation is serious, resulting in damage to the fan. This avoids unnecessary damage to the fan caused by the fan blade, further ensures the normal operation of the fan, and reduces maintenance costs and downtime. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The present invention will be further described below with reference to the accompanying drawings.

[0035] Figure 1 It is a schematic diagram of the system framework structure of the present invention;

[0036] Figure 2 It is a structural schematic diagram of the fan blade operation image of the present invention;

[0037] Figure 3 It is a schematic structural diagram of the fan blades of the present invention within the preset area of the image. DETAILED DESCRIPTION

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0039] Example 1

[0040] See also Figure 1-Figure 3 As shown, the present invention is a remote operation and maintenance system for a gas pressure station for a double-chamber kiln, comprising:

[0041] The speed range acquisition module obtains multiple speed ranges of the fan according to the preset upper and lower limits of the fan speed. The specific method is as follows:

[0042] The upper limit ZA and lower limit ZB of the fan speed are preset, and multiple speed intervals of the fan are obtained according to the upper limit ZA and the lower limit ZB. The division method can be equal interval division or unequal interval division. Here, the equal interval division method is adopted to obtain multiple speed intervals. According to the uniform preset interval ZC, the upper limit ZA and the lower limit ZB are divided to obtain multiple speed intervals of the fan [ZB, ZB+ZC], (ZB+ZC, ZB+2ZC], ..., (ZA-ZC, ZA], where ZA>ZB, and the specific value of ZC is formulated by relevant personnel according to actual needs and application scenarios;

[0043] By presetting the upper and lower limits of the fan speed and obtaining multiple speed intervals at equal intervals, the analysis of the fan at different speeds is made more detailed and accurate. This solves the problem that the existing remote operation and maintenance system may not be able to analyze the fan speed in detail and cannot carry out targeted monitoring and maintenance in different speed intervals. It can more accurately understand the operating status of the fan at different speeds, provide a clearer reference range for subsequent trajectory deviation analysis, and improve the pertinence and effectiveness of operation and maintenance.

[0044] The trajectory deviation range acquisition module is used to analyze the running images of the fan blades in each speed range and obtain the trajectory deviation range corresponding to each speed range of the fan blades according to the analysis results. The specific method is as follows:

[0045] A1: Randomly select one of the fan speed ranges as the target speed range;

[0046] By setting up a camera device inside the fan, it is ensured that the image of the fan blade passing through a fixed position can be clearly captured. Specifically, the camera device is installed inside the fan close to the running track of the fan blade and can clearly observe the position of the fan blade passing through the fixed area. The specific location should be considered to avoid interference from other components inside the fan. At the same time, it is necessary to ensure that the running image of the fan blade can be stably obtained. It can be installed on the fan casing and aimed at the running area of the fan blade through a specific window or opening, or a small, fixed camera device can be used and directly installed on the supporting structure inside the fan to obtain the best shooting angle. The above is an existing and mature technology and therefore will not be described in detail here.

[0047] The running image of the fan blade is acquired when it passes through a fixed area, and the outline of the fan blade is further extracted from the intercepted rectangular area by using image processing technology. The acquired running image is pre-processed, including image denoising, contrast enhancement and other operations. At the same time, common image processing algorithms and threshold segmentation methods can be used to detect the edge of the fan blade in the image. These algorithms determine the position of the edge by calculating the gradient of the image, thereby extracting the outline of the fan blade. The above are existing and mature technologies, so they will not be described in detail here.

[0048] The fan speed is kept within the target speed range. The camera device captures the running image of the fan blades at a time interval T to obtain the position trajectory of the fan blades within the preset image area. After multiple acquisitions, multiple analysis images of the fan blades are obtained. The specific value of the time interval T is determined by relevant personnel based on actual needs. Here, T is set to 3 seconds.

[0049] The method of obtaining the position trajectory of the fan blade in the preset area of the image is as follows: a rectangular area is preset in the image, the rectangular area in the running image is intercepted, and the position trajectory of the fan blade in the preset area of the image is obtained;

[0050] A2: Select one of the multiple analysis images as the target image;

[0051] A two-dimensional coordinate system is set in the target image, that is, a two-dimensional coordinate system is set in the rectangular area of the running image. At the same time, multiple calibration lines are set in the target image from top to bottom. The coordinates of the intersections between the blade trajectory in the target image and each calibration line are obtained and marked as Bi(BXi,BYi), where i refers to different calibration lines, i is a positive integer, and i≥1;

[0052] Get the center coordinates of the target image, that is, the center coordinates of the rectangular area, and mark it as Z (ZX, ZY);

[0053] Distance calculation formula: Calculate the distance Li between each intersection point Bi and the center point Z in the target image;

[0054] Get the maximum value L among Li max and the minimum value L min , and the maximum value L max As the maximum offset value PA1 of the target image, the minimum value L min As the minimum offset value PB1 of the target image;

[0055] A3: Repeat A2 to analyze multiple analysis images to obtain the maximum offset value PAa and the minimum offset value PBa corresponding to each analysis image, where a refers to a different analysis image, a=1, 2, ..., e, and e refers to the number of analysis images, e≥1;

[0056] By formula Calculate and obtain the discrete value U of the maximum offset value PAa, where PAc refers to any value in PAa, PAp is the mean value of PAc, a≥c≥1, when the discrete value U is less than the preset value Y1, the mean value PAp is used as the trajectory deviation upper limit value EA1 of the target speed range, when U is greater than or equal to the preset value Y1, the values corresponding to PAc are deleted in ascending order according to the values that deviate greatly from the mean value PAp, and the number b of deleted values is recorded, and the discrete degree value is recalculated each time the value is deleted until the discrete value satisfies the preset value Y1, when the number b of deletions is greater than the preset value Y2, the mean of the maximum and minimum values in PAc is used as the trajectory deviation upper limit value EA1 of the target speed range, that is, through EA1=(PA max +P min ) / 2, calculate the upper limit value EA1 of the trajectory deviation in the target speed range, where PA max is the maximum value in PAc, PA minis the minimum value in PAc. When the number b of deletions is less than or equal to the preset value Y2, the mean value PAp of PAc is used as the upper limit value EA1 of the trajectory deviation in the target speed range. The specific values of Y1 and Y2 are set by relevant personnel according to specific application scenarios and requirements.

[0057] At the same time, the minimum value among the minimum offset values PAa corresponding to each analysis image is used as the trajectory deviation lower limit EB1 of the target speed range;

[0058] According to the trajectory deviation upper limit EA1 and the trajectory deviation lower limit EB1 of the target speed range, the trajectory deviation range [EB1, EA1] corresponding to the target speed range is generated;

[0059] A4: Repeat steps A1-A3 to obtain the corresponding upper deviation limit EAr and trajectory deviation lower limit EBr of the fan blade in each speed range, and then obtain the corresponding trajectory deviation range [EBr,EAr] of the fan blade in each speed range, where r refers to different speed ranges, r is a positive integer, and r≥1;

[0060] The fan blade fault signal generation module obtains the real-time deviation value of the fan blade and the real-time speed of the fan in real time. According to the real-time speed of the fan, it obtains the comparison deviation range from the trajectory deviation range corresponding to each speed interval. The real-time deviation value of the fan blade is compared with the comparison deviation range. Based on the analysis results, the fan blade fault signal is generated. The specific method is as follows:

[0061] Obtain the real-time speed of the fan and the comparison deviation range relative to the real-time speed. When the real-time speed is within the comparison deviation range, no processing is performed. When the speed is not within the comparison deviation range, a fan blade fault signal is generated.

[0062] By installing a camera inside the fan and using image processing technology to obtain the blade profile and position trajectory, the deviation range of the fan blade's running trajectory in each speed range can be accurately analyzed. This solves the problem that the existing system cannot accurately grasp the deviation of the fan blade's running trajectory. Abnormal deviations in the fan blade's operation can be discovered in time, and potential faults can be warned in advance. This provides operation and maintenance personnel with a more accurate fault diagnosis basis and reduces the risk of fan failure caused by abnormal blade trajectory.

[0063] The real-time deviation value of the fan blade and the fan speed are obtained in real time, and the fan blade fault signal is generated through comparison and analysis. At the same time, the early warning mechanism is triggered. When the trajectory deviation is detected to be beyond the normal range, the fan blade fault signal is generated, and the system automatically triggers the early warning mechanism and immediately issues an alarm. The operation and maintenance personnel are reminded to deal with it in time through sound and light alarms, SMS notifications, etc. When the trajectory deviation is detected to be beyond the normal range, the system automatically triggers the early warning mechanism, which enables the operation and maintenance personnel to respond quickly to the fan blade fault and promptly notify the operation and maintenance personnel to take corresponding measures, effectively avoiding the occurrence of potential faults, improving the reliability and stability of the system, and improving the operation and maintenance efficiency.

[0064] Example 2

[0065] As the second embodiment of the present invention, when the present application is specifically implemented, compared with the first embodiment, the technical solution of the present embodiment is different from that of the first embodiment only in that in the present embodiment, the shutdown control module;

[0066] The shutdown control module obtains the difference between the real-time deviation value of the fan blade and the upper limit value of the trajectory deviation of the comparison deviation range. When the difference is greater than the preset threshold value Y3, a shutdown signal is generated to shut down the fan. Otherwise, no action is taken.

[0067] When the difference between the real-time deviation value of the fan blade and the upper limit value of the trajectory deviation of the comparison deviation range is large, it means that the position deviation of the fan blade is serious, affecting the normal operation of the fan. Continuing to operate the fan blade will cause damage to the fan. Therefore, a shutdown signal is generated to shut down the fan to avoid unnecessary damage to the fan blade and further ensure the normal operation of the fan.

[0068] When the difference between the real-time deviation value of the fan blade and the upper limit value of the trajectory deviation in the comparison deviation range is greater than the preset threshold, a shutdown signal is generated to shut down the fan, so that the fan cannot continue to operate when the blade position deviation is serious, resulting in damage to the fan, thus avoiding unnecessary damage to the fan by the fan blade, further ensuring the normal operation of the fan, and reducing maintenance costs and downtime.

[0069] Example 3

[0070] As the third embodiment of the present invention, when this application is specifically implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments.

[0071] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters and thresholds in the formulas are set by technicians in this field according to actual conditions.

[0072] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. The remote operation and maintenance system of the gas pressure station for double-chamber kilns is characterized by: include: The speed range acquisition module obtains multiple speed ranges of the fan by dividing them into equal intervals according to the preset upper and lower limits of the fan speed; The trajectory deviation range acquisition module analyzes the operating images of the fan blades in each speed range to obtain the trajectory deviation range corresponding to each speed range; The fan blade fault signal generation module obtains the deviation value of the fan blade and the current real-time speed of the fan in real time, obtains the comparison deviation range from the corresponding trajectory deviation range in each speed interval, compares and analyzes the real-time deviation value of the fan blade with the comparison deviation range, and generates a fan blade fault signal based on the analysis result; The shutdown control module compares the difference between the real-time deviation value of the fan blade and the upper limit value of the trajectory deviation of the comparison deviation range. When the difference is greater than the preset threshold value Y3, a shutdown signal is generated to shut down the fan; The specific method for obtaining the trajectory deviation range corresponding to each speed range is: A1: Randomly select one of the fan speed ranges as the target speed range; The camera device installed inside the fan is used to capture the running image of the fan blade at a time interval T. The position trajectory of the fan blade in the preset image area is obtained repeatedly, and then the analysis images of multiple fan blades are obtained. Here, the time interval T is set to 3 seconds. A2: Select one of the multiple analysis images as the target image. Set a two-dimensional coordinate system and multiple calibration lines within the target image. Obtain the coordinates of the intersections between the blade trajectory and each calibration line, as well as the coordinates of the target image center. Calculate and analyze the distances between each intersection and the target image center to obtain the maximum and minimum offset values of the target image. A3: Repeat A2 to analyze multiple analysis images to obtain the maximum offset value PAa and the minimum offset value PBa corresponding to each analysis image. Calculate the discrete value U of the maximum offset value PAa. Analyze the discrete value U to obtain the upper limit of the trajectory deviation in the target speed range. Use the minimum of the minimum offset values as the lower limit of the trajectory deviation in the target speed range to generate the trajectory deviation range corresponding to the target speed range. Here, a represents different analysis images, a=1, 2, ..., e, and e represents the number of analysis images, e≥1. A4: Repeat steps A1-A3 to obtain the trajectory deviation range corresponding to the fan blades in each speed range; The specific method of analyzing the discrete value U to obtain the upper limit of the trajectory deviation in the target speed range is: When the discrete value U is less than the preset value Y1, the mean PAp of PAc is used as the upper limit EA1 of the trajectory deviation in the target speed range. When U is greater than or equal to the preset value Y1, the values with larger deviations from the mean PAp are deleted in ascending order according to the numerical values corresponding to PAc, and the number b of deleted values is recorded. At the same time, the discrete degree value is recalculated at each deletion until the discrete value satisfies the requirement of being less than the preset value Y1. When the number b of deletions is greater than the preset value Y2, the average of the maximum and minimum values in PAc is used as the upper limit EA1 of the trajectory deviation in the target speed range. When the number b of deletions is less than or equal to the preset value Y2, the mean PAp of PAc is used as the upper limit EA1 of the trajectory deviation in the target speed range.

2. The remote operation and maintenance system for the gas pressure station for the double-chamber kiln according to claim 1 is characterized in that: The specific method of obtaining multiple speed ranges of the fan is: The fan speed upper limit ZA and lower limit ZB are preset, and the upper limit and lower limit are divided into equal intervals according to a uniform preset interval ZC to obtain multiple speed intervals.

3. The remote operation and maintenance system for the gas pressure station for the double-chamber kiln according to claim 1 is characterized in that: The specific method for obtaining the maximum offset value and the minimum offset value of the target image is: Set multiple calibration lines from top to bottom in the target image, obtain the intersection coordinates Bi(BX i,BY i) between the blade trajectory in the target image and each calibration line, and obtain the center point coordinates Z(ZX,ZY) of the target image at the same time. The distance calculation formula is: Calculate the distance Li between each intersection point Bi in the target image and the center point Z, take the maximum value of the distance Li as the maximum offset value of the target image, and the minimum value of the distance Li as the minimum offset value of the target image, where i refers to different calibration lines, i is a positive integer, and i≥1.

4. The remote operation and maintenance system for the gas pressure station for the double-chamber kiln according to claim 3 is characterized in that: The specific method for determining and generating a fan blade fault signal is as follows: The real-time speed of the fan and the comparison deviation range relative to the real-time speed are obtained. When the speed does not fall within the comparison deviation range, a fan blade fault signal is generated. When the real-time speed falls within the comparison deviation range, no processing is performed.

5. The remote operation and maintenance system for the gas pressure station for the double-chamber kiln according to claim 4 is characterized in that: The specific method of obtaining the position trajectory of the fan blades in the preset area of the image is as follows: The rectangular area in the running image is intercepted to obtain the position trajectory of the fan blades in the preset area of the image.

6. The remote operation and maintenance system for the gas pressure station for the double-chamber kiln according to claim 5 is characterized in that: Also includes a shutdown control module; The shutdown control module obtains the difference between the real-time deviation value of the fan blade and the upper limit value of the trajectory deviation of the comparison deviation range. When the difference is greater than the preset threshold value Y3, a shutdown signal is generated to shut down the fan. Otherwise, no processing is performed.

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