An early warning system and equipment for air cooler tube corrosion based on infrared thermal imaging

Abstract

The present invention relates to an early warning system and device for the corrosion of the tube bundle of an air cooler based on infrared thermal imaging. It includes an infrared camera that captures images containing temperature data, an analog-to-digital converter that converts the analog signal of the infrared image into a digital signal, and a monitoring host that analyzes the monitored temperature data, calculates the current early warning discrimination coefficient ri(t) of the tube bundle, compares it with the threshold value V, and performs alarm processing. The early warning system provided by the present invention can achieve non-contact monitoring of the problem of corrosion caused by ammonium salt crystallization in the tube bundle of the air cooler, effectively identify the location of the corroded tube bundle, realize early warning of the corrosion problem of the tube bundle, and improve the monitoring efficiency.

Description

Technical Field

[0001] The invention belongs to the technical field of petrochemical equipment monitoring and early warning, and in particular relates to an early warning system and equipment for air cooler tube bundle corrosion based on infrared thermal imaging. Background Art

[0002] As a large-scale heat exchange equipment, air coolers are widely used in the petrochemical industry. The air cooler tube bundle is often used in high temperature, high pressure, and high corrosion conditions. The working conditions are relatively harsh, and its main failure mode is the corrosion problem caused by ammonium salt scaling blocking the tube bundle. If the corrosion problem of the tube bundle becomes increasingly serious and is not discovered in time and relevant maintenance optimization measures are not taken, it will eventually lead to serious problems such as tube bundle deformation, corrosion leakage, etc., which will directly affect the safe and stable operation of the equipment.

[0003] At present, the existing method is to monitor the corrosion problem of ammonium salt blockage in air coolers by monitoring the changes in the inlet and outlet pressure drops of air coolers. This method can effectively identify the situation where there is severe ammonium salt corrosion in the air cooler and a large number of tube bundles are blocked, and it is relatively intuitive. However, the early characteristics of ammonium salt blockage are not obvious and difficult to identify. In addition, it is impossible to identify the location of the tube bundle blocked by ammonium salts, and it is impossible to intervene and deal with it early. Therefore, it is unable to provide guidance for accurate and targeted operation monitoring and equipment maintenance of air coolers. Summary of the invention

[0004] In order to solve the above-mentioned technical problems, one of the purposes of the present application is to provide an early warning system for corrosion of air-cooler tube bundles based on infrared thermal imaging. The system can realize non-contact monitoring of the corrosion problem caused by ammonium salt crystallization in the air-cooler tube bundles, and can effectively identify the location of the corroded tube bundles, provide early warning for the corrosion problem of the tube bundles, and improve the monitoring efficiency.

[0005] The present invention adopts the following technical solutions:

[0006] An early warning system for corrosion of air cooler tube bundles based on infrared thermal imaging, comprising an infrared camera, a video conversion device and a monitoring host connected to the video conversion device;

[0007] The infrared camera is installed above the air cooler of the oil refining device where the tube bundle temperature monitoring is required, so as to take the infrared image of the air cooler tube bundle and output the infrared image analog signal containing the temperature measurement value of the air cooler tube bundle; the video conversion device is connected to the infrared camera, converts the infrared image analog signal into an infrared digital signal and outputs it to the monitoring host with a built-in data analysis module;

[0008] The data analysis module includes an abnormal warning unit, in which a warning discrimination mathematical model is provided. The warning discrimination mathematical model performs corrosion warning analysis based on the input air cooler tube bundle temperature measurement value, including the following steps:

[0009] S1. Based on the infrared digital signal of the infrared image containing the temperature measurement value of the air cooler tube bundle and the installation position of the air cooler tube bundle, determine the infrared image area range corresponding to each tube bundle; within the set monitoring range, establish the installation position A of the i-th tube bundle i The index set B of the temperature measurement values ​​contained in the infrared digital signal of the acquired infrared image i The coordinate correspondence of is:

[0010] f(i):A i →B i

[0011] Among them, A i represents the installation position set of tube bundle i; B i is a set of temperature measurement value indices contained in the infrared digital signal of the acquired infrared image of the tube bundle i; i=1, 2, ...n;

[0012] S2. Based on the monitoring coordinate range of the i-th tube bundle, the monitoring data of the tube bundle i at different times are extracted to obtain the temperature data set of the tube bundle i at each time. The temperature data set monitored by the tube bundle i at time t is expressed as

[0013]

[0014] Among them, i represents the number of the monitored tube bundle, t represents the monitoring time, and m i Indicates the number of the monitoring position of tube bundle i, Indicates that tube bundle i is at position m at time t i Temperature data;

[0015] The different moments are defined as: extracting once every hour or half an hour, and extracting at the same time every day with the same rules for 3 to 6 months;

[0016] The monitoring position of the tube bundle i is determined by: taking points on the tube bundle i at intervals of a set distance from the inlet end to the outlet end of the tube bundle i, and the obtained points are monitoring positions 1, 2, ..., m;

[0017] S3. Obtain the temperature data set at time t0 when the i-th tube bundle is operating normally without corrosion Assume that the temperature measurement corresponding to the position j (j = 1, 2, ..., m) of the tube bundle i at time t is According to the following formula, the early warning discrimination coefficient r of the i-th tube bundle at time t is calculated: i (t):

[0018]

[0019] Wherein, K represents the management correction coefficient, 0.4≤K≤1; based on safety considerations, the management correction coefficient K is taken as 0.98 in the initial stage of system monitoring, and the total time of the initial stage does not exceed 14 days, which is specifically determined according to the operation status of the air cooler;

[0020] S4. Based on the statistical analysis of the correlation of the air cooler tube bundle monitoring data in the initial installation and operation or based on the statistical analysis results of a large number of air cooler tube bundle temperature monitoring data, a corrosion warning threshold V is established. According to the relationship between the threshold and the warning discrimination coefficient, the abnormal warning unit makes the following warning actions:

[0021] When i When (t)>V, the abnormal warning unit does not issue an alarm;

[0022] When i When (t)≤V, the abnormal warning unit issues a prompt alarm.

[0023] Preferably, after the abnormal warning unit issues a prompt alarm, within the detection time period [t, t+wΔt], if r i (l)≤V, l=t,t+Δt,t+2Δt,…,t+wΔt, then the abnormal warning unit raises the alarm level, issues an emergency alarm, and prompts the operator to intervene in time;

[0024] The Δt represents a fixed time interval, and w represents the number of the fixed time intervals. The values ​​of the Δt and w are set according to actual needs.

[0025] Preferably, the fixed time interval of Δt is 24 hours, and the value of w is 3.

[0026] Preferably, in step S4, the threshold value V is determined by the percentile method, specifically: the early warning discrimination coefficient r obtained within the set time under the condition of normal non-corrosive operation of the tube bundle is i (t) The values ​​are arranged in descending order, and the 95th percentile value is defined as the threshold value; the setting time is not less than 30 days, and the obtained early warning discrimination coefficient r i (t) not less than 100 sets.

[0027] Preferably, based on the monitoring situation, air-cooling operation conditions and corrosion conditions of the tube bundle maintenance, the threshold is further corrected, that is, the management correction coefficient K is adjusted: if the early warning system alarms frequently, but the process operation analysis, sampling analysis confirmation or maintenance finds that the air cooler is in good condition, then the value of the management correction coefficient K is reduced; if the early warning system does not alarm, but the process operation analysis, sampling analysis confirmation or maintenance finds that the air cooler is corroded, then the value of the management correction coefficient K is increased; a single adjustment of the management correction coefficient K shall not exceed 0.1.

[0028] Preferably, the infrared camera is arranged on a pan-tilt platform and the shooting position of the infrared camera is controlled by the pan-tilt platform. The pan-tilt platform is connected to the video conversion device and receives the control signal of the monitoring host.

[0029] Preferably, the monitoring host performs data transmission and network communication with the video conversion device via an optical fiber transceiver or a switch.

[0030] Preferably, the data analysis module further comprises: receiving an infrared digital signal from the video conversion device through a data interface, and determining the position of a tube bundle with abnormal corrosion in the air cooler according to the infrared digital signal.

[0031] Preferably, the monitoring host also includes a storage module and a display module, the storage module is used to store processed data and alarm information issued by previous abnormal warning units; the display module is used to directly display the outdoor monitoring video screen of the air cooler tube bundle, as well as the location of the tube bundle with abnormal corrosion in the air cooler and its temperature distribution.

[0032] The second object of the present invention is to provide a device for implementing the above-mentioned early warning system for corrosion of air cooler tube bundles based on infrared thermal imaging, the device comprising a support frame for mounting an infrared camera, and a lead screw for fixing the support frame, the lead screw comprising a first lead screw and a second lead screw arranged parallel to each other, the lead screw being arranged above the air cooler perpendicular to the tube bundle length direction, the support frame being a rod, the two ends of which are respectively connected to the first lead screw and the second lead screw by a nut, so that the support frame is arranged perpendicular to the lead screw;

[0033] The first and second lead screws are connected to a motor at one end near the support frame through a coupling. The motor controls the two lead screws to rotate clockwise or counterclockwise at the same time, and drives the support frame to follow the rotation of the lead screw through the nut to move along the direction of the lead screw.

[0034] Preferably, a pan / tilt platform is provided between the infrared camera and the support frame to maintain the balance of the infrared camera.

[0035] Preferably, the motor is arranged on a machine base frame, and the machine base frame and the bearing frame are located at the same horizontal height and are respectively fixedly connected to the air cooler tube bundle.

[0036] The beneficial effects of the present invention are:

[0037] The present invention develops a new early warning system for corrosion of air cooler tube bundles based on infrared imaging technology. The system adopts a mathematical model and algorithm that is more suitable for air cooler tube bundles. First, the temperature field distribution on the surface of the air cooler tube bundle is obtained, and the temperature field data of the thermal imaging image is processed to obtain a temperature data set. The correlation characteristics based on the temperature data are used to obtain the distribution characteristics of the temperature field of the tube bundle under normal circumstances, and then the temperature distribution of the tube bundle is regularly monitored to identify possible corrosion problems in the tube bundle and realize early warning of tube bundle corrosion problems. The system can realize non-contact monitoring of corrosion problems caused by ammonium salt crystallization in air cooler tube bundles, and can accurately identify the specific tube bundle locations where ammonium salt clogging and corrosion problems exist. Compared with traditional methods, early warning of tube bundle corrosion problems can be realized earlier, improving monitoring efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a judgment schematic diagram of the early warning system of the present invention;

[0039] Figure 2 is a block diagram of the early warning system of the present invention;

[0040] Figure 3 A schematic diagram of equipment for implementing an early warning system for corrosion of air cooler tube bundles based on infrared thermal imaging for tube bundle installation of the present invention;

[0041] The meanings of the symbols in the figure are as follows:

[0042] 10-Infrared camera 11-Pan-tilt

[0043] 20-support frame 21-connecting rod 22-nut

[0044] 30-screw 31-bearing frame

[0045] 40-motor 41-machine base

[0046] 50-Air cooler 51-Tube bundle DETAILED DESCRIPTION

[0047] The technical solution of the present invention is described in more detail below in conjunction with the accompanying drawings:

[0048] Example 1

[0049] like Figure 1-3 As shown, an early warning system for corrosion of air cooler tube bundles based on infrared thermal imaging includes an infrared camera, a video conversion device and a monitoring host connected to the video conversion device.

[0050] The infrared camera is installed above the air cooler of the oil refining device where the tube bundle temperature needs to be monitored, so as to capture the infrared image of the air cooler tube bundle and output the infrared image analog signal containing the air cooler tube bundle temperature measurement value; the video conversion device is connected to the infrared camera, converts the infrared image analog signal into an infrared digital signal and outputs it to the monitoring host with a built-in data analysis module.

[0051] In one embodiment, the infrared camera can be driven and the shooting range can be adjusted by a pan / tilt mounted therewith, and the pan / tilt is connected to the video conversion device through an interface for data communication between each other. The monitoring host transmits data and communicates with the video conversion device through an optical fiber transceiver or switch.

[0052] The data analysis module includes an abnormal warning unit, in which a warning discrimination mathematical model is provided. The warning discrimination mathematical model performs corrosion warning analysis based on the input tube bundle temperature measurement value, including the following steps:

[0053] S1. Based on the infrared digital signal of the infrared image containing the temperature measurement value of the air cooler tube bundle and the installation position of the air cooler tube bundle, determine the infrared image area range corresponding to each tube bundle; within the set monitoring range, establish the installation position A of the i-th tube bundle i The index set B of the temperature measurement values ​​contained in the infrared digital signal of the acquired infrared image i The coordinate correspondence of is:

[0054] f(i):A i →B i

[0055] Among them, A i represents the installation position set of tube bundle i; B i is a set of temperature measurement value indexes contained in the infrared digital signal of the acquired infrared image of tube bundle i; i=1, 2, . . . n.

[0056] S2. Based on the monitoring coordinate range of the i-th tube bundle, the monitoring data of the tube bundle i at different times are extracted to obtain the temperature data set of the tube bundle i at each time. The temperature data set monitored by the tube bundle i at time t is expressed as

[0057]

[0058] Among them, i represents the number of the monitored tube bundle, t represents the monitoring time, and m i Indicates the number of the monitoring position of tube bundle i, Indicates that tube bundle i is at position m at time t i Temperature data;

[0059] The different moments are defined as: extracting once every hour or half an hour, and extracting at the same time every day with the same rules for 3 to 6 months;

[0060] The monitoring position of the tube bundle i is determined by: continuously taking points on the tube bundle i at a set distance from the inlet end to the outlet end of the tube bundle i, and the obtained points are the monitoring positions 1, 2, ..., m;

[0061] S3. Obtain the temperature data set at time t0 when the i-th tube bundle is operating normally without corrosion Assume that the temperature measurement corresponding to the position j (j = 1, 2, ..., m) of the tube bundle i at time t is According to the following formula, the early warning discrimination coefficient r of the i-th tube bundle at time t is calculated: i (t):

[0062]

[0063] Wherein, K represents the management correction coefficient, 0.4≤K≤1; based on safety considerations, the management correction coefficient K is taken as 0.98 in the initial stage of system monitoring, and the total time of the initial stage does not exceed 14 days, which is specifically determined according to the operation status of the air cooler;

[0064] Furthermore, the management correction coefficient K is taken as 0.98 in the initial stage of system monitoring. In the later stage, based on the operating experience of the air cooler or the analysis of the statistics of the monitoring data results, the operating condition of the air cooler and the corrosion condition of the air cooler are deeply understood, and the management correction coefficient K can be appropriately adjusted: if the early warning system alarms frequently, but the process operation analysis, sampling analysis confirmation or maintenance finds that the air cooler is in good condition, then the value of the management correction coefficient K is reduced; if the early warning system does not alarm, but the process operation analysis, sampling analysis confirmation or maintenance finds that the air cooler is corroded, then the value of the management correction coefficient K is increased.

[0065] In fact, from a practical point of view, when the management correction coefficient K is 1, it is almost impossible to need to increase the value of K, and the value of K is generally reduced.

[0066] In addition, the adjustment of the K value should be gradual and should not be too large. A single adjustment of the management correction coefficient K should generally not exceed 0.1.

[0067] S4. Based on the statistical analysis of the correlation of the air cooler tube bundle monitoring data in the early stage of installation and operation or based on the statistical analysis results of a large number of air cooler tube bundle temperature monitoring data, establish the corrosion warning threshold V. The threshold V is determined by the percentile method, specifically: the warning discrimination coefficient r obtained within the set time under the normal non-corrosive operation of the tube bundle i(t) The values ​​are arranged in descending order, and the 95th percentile value is defined as the threshold value; the setting time is not less than 30 days, and the obtained early warning discrimination coefficient r i (t) not less than 100 sets.

[0068] The above thresholds can be modified based on the monitoring data, air-cooling operation and corrosion conditions of the air-cooler tube bundle during maintenance. For example, if the tube bundle is found to be severely corroded according to the overhaul inspection, and the early warning system does not have a corresponding alarm, the alarm threshold can be appropriately increased; if the alarm is frequent, and no obvious corrosion is found based on operating experience or overhaul inspection assessment, the alarm threshold can be appropriately reduced. It should be emphasized that the adjustment of the threshold in the present invention can be evaluated and judged by professionals based on the actual operation of the air cooler, and the range and amplitude of the adjustment should be gradual, and the amplitude of each adjustment should not be too large. Because each air cooler has its own operating conditions and characteristics, this application does not make clear and specific restrictions on the adjustment amplitude and range of the threshold.

[0069] According to the relationship between the threshold and the warning discrimination coefficient, the abnormal warning unit makes the following warning actions:

[0070] When i When (t)>V, the abnormal warning unit does not issue an alarm;

[0071] When i When (t)≤V, the abnormal warning unit issues a prompt alarm.

[0072] After the abnormal warning unit issues a warning alarm, within the detection time period [t, t+wΔt], if r i (l)≤V, l=t,t+Δt,t+2Δt,…,t+wΔt, then the abnormal warning unit raises the alarm level, issues an emergency alarm, and prompts the operator to intervene in time;

[0073] The Δt represents a fixed time interval, and w represents the number of the fixed time intervals. The values ​​of Δt and w are set according to actual needs. Usually, the fixed time interval of Δt is 24 hours, and the value of Δt is 3.

[0074] Furthermore, the data analysis module also includes: receiving an infrared digital signal from the video conversion device through a data interface, and determining a tube bundle position with abnormal corrosion in the air cooler according to the infrared digital signal.

[0075] The monitoring host also includes a storage module and a display module. The storage module is used to store processed data and alarm information issued by previous abnormal warning units; the display module is used to directly display the outdoor monitoring video screen of the air cooler tube bundle, as well as the location of the tube bundle with abnormal corrosion in the air cooler and its temperature distribution.

[0076] Example 2

[0077] A device for implementing an early warning system for corrosion of an air cooler tube bundle based on infrared thermal imaging, the device comprising a support frame for mounting an infrared camera 10, and a lead screw 30 for fixing the support frame 20, the lead screw 30 comprising a first lead screw and a second lead screw arranged parallel to each other, the lead screw 30 being arranged above the air cooler 50 perpendicular to the tube length direction of the tube bundle 51, the support frame 20 being a rod, the two ends of which are respectively erected above the first lead screw and the second lead screw through a connecting rod 21, the connecting rod 21 being connected to the first lead screw and the second lead screw through a nut 2, so that the support frame 20 is finally arranged perpendicular to the lead screw 30;

[0078] The ends of the first and second lead screws near the support frame 20 are also connected to the motor 40 through a coupling, and the motor 40 controls the two lead screws 30 to rotate clockwise or counterclockwise at the same time. When the lead screw 30 rotates, the nut 22 moves back and forth on the lead screw 30 along the rod direction of the lead screw 30 through the matching relationship with the lead screw 30, and drives the support frame 20 to follow the nut 22 to move along the rod direction of the lead screw 30 through the connecting rod 21, so as to achieve the purpose of adjusting the shooting range of the infrared camera 10.

[0079] One end of the lead screw 30 away from the support frame 20 is connected to a bearing frame 31 for balancing the lead screw 30 .

[0080] A pan / tilt platform 11 is also provided between the infrared camera 10 and the support frame 20 for maintaining the balance of the infrared camera.

[0081] The motor 40 is disposed on a machine frame 41 . The machine frame 41 and the bearing frame 31 are located at the same level and are fixedly connected to the tube bundle 51 of the air cooler 50 .

[0082] The infrared camera 10 is connected to the video conversion device, and the motor 40 and the pan / tilt head 11 are also respectively connected to the video conversion device for data communication and feedback control.

[0083] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, a person of ordinary skill in the art should understand that any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An early warning system for corrosion of air cooler tube bundles based on infrared thermal imaging, comprising an infrared camera, a video conversion device and a monitoring host connected to the video conversion device; in, The infrared camera is installed above the air cooler of the oil refining device where the tube bundle temperature monitoring is required, and is used to take an infrared image of the air cooler tube bundle and output an infrared image analog signal containing the temperature measurement value of the air cooler tube bundle; the video conversion device is connected to the infrared camera, converts the infrared image analog signal into an infrared digital signal and outputs it to the monitoring host with a built-in data analysis module; It is characterized in that the data analysis module includes an abnormal warning unit, in which a warning discrimination mathematical model is provided. The warning discrimination mathematical model performs corrosion warning analysis based on the input air cooler tube bundle temperature measurement value, including the following steps: S1. Based on the infrared digital signal of the infrared image containing the temperature measurement value of the air cooler tube bundle and the installation position of the air cooler tube bundle, determine the infrared image area range corresponding to each tube bundle; within the set monitoring range, establish the first Installation location of root canal bundle The index set of temperature measurement values ​​contained in the infrared digital signal of the acquired infrared image The coordinate correspondence of is: ； in, Indicates restraint The installation location set of To control a set of temperature measurement value indices contained in the infrared digital signal of the acquired infrared image; ; S2. Based on Root canal bundle monitoring coordinate range, extract the canal bundle Monitoring data at different times to obtain control The temperature data collection at each time, exist The temperature data set monitored at all times is expressed as : ； in, Indicates the number of the monitored tube bundle. Indicates the monitoring time, Indicates restraint The monitoring location is digitally labeled, Indicates restraint exist At the marked position Temperature data; The different moments are defined as: extracting once every hour or half an hour, and extracting at the same time every day with the same rules for 3 to 6 months; The tube bundle The monitoring location is determined by: self-regulation The distance between the inlet and outlet of the tube bundle is set at The points are taken continuously on the upper part, and the obtained points are the monitoring positions 1, 2, ..., m; S3. Get the When the root canal bundle is operating normally without corrosion, Temperature data set at time ; Set up supervision exist Always at the location The corresponding temperature measurement is , calculate the first Root canal bundle time The early warning discrimination coefficient : ； in, represents the management correction factor, ; S4. Establishing corrosion warning thresholds According to the relationship between the threshold and the warning discrimination coefficient, the abnormal warning unit makes the following warning actions: when > When the abnormal warning unit does not sound an alarm; when ≤ When the abnormal warning unit sends out a prompt alarm.

2. The early warning system for corrosion of air cooler tube bundle based on infrared thermal imaging according to claim 1, characterized in that: When the abnormal warning unit issues a warning alarm, During the testing period, if ≤ , , the abnormal warning unit raises the alarm level, issues an emergency alarm, and prompts the operator to intervene in time; Said Represents a fixed time interval, represents the number of the fixed time intervals, the and The value is set according to actual needs.

3. The early warning system for corrosion of air cooler tube bundle based on infrared thermal imaging according to claim 2, characterized in that: Said The fixed time interval is 24h, The value is 3.

4. The early warning system for corrosion of air cooler tube bundle based on infrared thermal imaging according to claim 1, characterized in that: In step S4, the threshold The percentile method is used to determine the value. Specifically, the early warning discrimination coefficient obtained within the set time under normal non-corrosive operation of the tube bundle is According to the size of the values, they are arranged in order from large to small, and the 95th percentile value is defined as the threshold; the setting time is not less than 30 days, and the obtained early warning discrimination coefficient No less than 100 groups.

5. The early warning system for corrosion of air cooler tube bundle based on infrared thermal imaging according to claim 1, characterized in that: Based on the operating experience of the air cooler or the analysis of the statistical results of the monitoring data, the management correction factor is further corrected. : If the early warning system alarms frequently, but the process operation analysis, sampling analysis confirmation or maintenance finds that the air cooler is in good condition, then reduce the management correction factor If the early warning system does not alarm, but the process operation analysis, sampling analysis confirmation or maintenance finds that the air cooler is corroded, then increase the management correction factor The value of the management correction factor for a single The adjustment shall not exceed 0.

1.

6. The early warning system for corrosion of air cooler tube bundle based on infrared thermal imaging according to claim 1, characterized in that: The monitoring host performs data transmission and network communication with the video conversion device through an optical fiber transceiver or a switch.

7. The early warning system for corrosion of air cooler tube bundle based on infrared thermal imaging according to claim 1, characterized in that: The data analysis module also includes: receiving infrared digital signals from the video conversion device through a data interface, and determining the position of the tube bundle with abnormal corrosion in the air cooler according to the infrared digital signals.

8. A device for implementing the early warning system for corrosion of air cooler tube bundles based on infrared thermal imaging as claimed in claim 1, characterized in that: It comprises a support frame for mounting an infrared camera (10), and a screw for fixing the support frame (20), the screw (30) comprising a first screw and a second screw arranged parallel to each other, the screw being arranged above the air cooler perpendicular to the tube length direction of the tube bundle, the support frame (20) being a rod, the two ends of which are respectively connected to the first screw and the second screw via a nut (22), so that the support frame (20) is arranged perpendicular to the screw (30); One end of the first lead screw and the second lead screw close to the support frame (20) is also connected to the motor (40) via a coupling, the motor (40) controls the two lead screws (30) to rotate clockwise or counterclockwise at the same time, and drives the support frame (20) to follow the rotation of the lead screw (30) through the nut (22) to cause displacement along the rod direction of the lead screw (30); One end of the lead screw (30) away from the support frame (20) is connected to a bearing frame (31) for balancing the lead screw (30).

9. A device for implementing the early warning system for corrosion of air cooler tube bundles based on infrared thermal imaging as claimed in claim 8, characterized in that: A pan / tilt platform (11) is also provided between the infrared camera (10) and the support frame (20) for maintaining the balance of the infrared camera.

10. A device for implementing the early warning system for corrosion of air cooler tube bundles based on infrared thermal imaging as claimed in claim 8, characterized in that: The motor (40) is arranged on a machine base frame (41); the machine base frame (41) and the bearing frame (31) are located at the same horizontal height and are respectively fixedly connected to the tube bundle (51) of the air cooler (50).

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