Method for monitoring and identifying scale deposition

Abstract

The invention discloses a method for monitoring and identifying scale deposition, which is applied to a scaling detection system, utilizes an infrared sensor to carry out temperature measurement and imaging on a device, a pipeline or a device area to be detected, and comprises an explosion-proof module, an infrared emission module, an infrared temperature measurement module, an infrared imaging module and a high-performance processing module, the system further comprises an alarm module and a display terminal. The method for monitoring and identifying scale deposition comprises the following steps: establishing an indoor simulation experiment, and constructing a standardized infrared spectrum database; simulating internal flowing and heat transfer conditions of the device and the pipeline under the condition of different scale layer thicknesses by adopting numerical values; on-site monitoring and identification are carried out by adopting an infrared thermal imager under the condition that the device and the pipeline are not stopped. The method is a non-contact visualization method, can effectively and accurately monitor and identify scaling parts and scaling conditions of the pipeline or the device, specifically adjusts production process parameters, timely takes unblocking measures, avoids safety accidents, and effectively improves the production efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of monitoring and identification, in particular to a method for monitoring and identifying scale deposition. BACKGROUND

[0002] In the development process of sulfur-containing gas fields, hydrogen sulfide in natural gas is a highly toxic gas, and once the sulfur-containing natural gas leaks, it will pose a threat to the safety and life of the on-site personnel and surrounding residents. Therefore, corresponding purification treatment processes are matched in the development process. The complex iron process is mainly used for the purification treatment of H2S in low-sulfur gas fields. In the purification process of the desulfurization station, while the complex iron solution oxidizes the hydrogen sulfide gas into elemental sulfur, the hydrophobic fine sulfur particles generated in the process are extremely easy to adhere to the device, pipeline, valve and wall, which can easily cause equipment and pipeline blockage, thereby affecting the service life of the desulfurization equipment and normal operation, and even causing safety accidents.

[0003] In oil and gas production, high salinity produced water can also cause fouling and blockage of devices and pipelines. Scale deposition can greatly reduce pipeline efficiency and increase energy consumption. In severe cases, it can cause blockage. Fouling also provides favorable conditions for the reproduction of SRB bacteria, making it difficult for corrosion inhibitors to contact the metal surface and form a film, greatly reducing the corrosion inhibition effect, aggravating the corrosion of equipment and pipelines, and even causing the pipeline to be scrapped. Therefore, it is crucial to monitor the fouling conditions in devices and pipelines.

[0004] Since fouling occurs inside the device and pipeline, it cannot be observed with the naked eye, which has been a difficult problem for the industry. For sulfur plugging in desulfurization stations, device and pipeline fouling, the traditional detection method is to estimate the fouling condition by detecting the fluid flow rate, pressure and other parameters in the device and pipeline. Sometimes, without any measurement, the fouling condition is directly estimated according to past experience, which cannot accurately determine the fouling layer condition in the device and pipeline. If the fouling layer is not detected in time, the descaling will be delayed, and the device and pipeline will be damaged if the descaling is performed without reaching the descaling condition. Therefore, it is necessary to monitor and evaluate the fouling condition in the pipeline to remove the fouling layer in time. Therefore, it is necessary to provide a monitoring method for monitoring the fouling in the pipeline, accurately detecting the fouling condition of the inner wall of the device and pipeline, and identifying the fouling area. This is of great significance for improving the safety of the device and pipeline operation and reducing production and transportation costs. SUMMARY

[0005] The purpose of the present application is to solve the problems in the prior art that only the fouling of conductive electrolyte and the fouling condition of local position can be monitored, and the structural condition of a pipeline or equipment with a complex structure cannot be monitored. Therefore, a method for monitoring and identifying scale deposition is provided.

[0006] To solve the above technical problems, the technical scheme adopted by the present application is: a method for monitoring and identifying scale deposition is applied to a fouling detection system, the fouling detection system uses an infrared sensor to measure the temperature and image of a device, pipeline or device area to be detected, and comprises:

[0007] An explosion-proof module is used for explosion-proof protection during detection.

[0008] An infrared emission module is used for emitting infrared light to a detection area according to an emission power.

[0009] An infrared temperature measurement module is used for acquiring temperature data of a device, pipeline and sample to be detected.

[0010] An infrared imaging module is used for receiving infrared light reflected back from the detection area, thereby generating an infrared image of the detection area.

[0011] A high-performance processing module is used for amplifying and filtering the detected signals, extracting information, converting the information into a required format and transmitting the information to a display.

[0012] An alarm module is used for giving a pre-warning prompt when the scale layer thickness corresponding to the infrared image exceeds a certain threshold.

[0013] A display terminal, which is a mobile phone and / or a computer in a central control room, has a corresponding APP operation component installed thereon.

[0014] The method for monitoring and identifying scale deposition specifically comprises the following steps:

[0015] (1) First, according to the operating temperature, pressure, flow rate and other parameters of the device and pipeline, the medium characteristics and the structural features of the device and pipeline, a simulation experiment model is established in a laboratory, the medium is filled in the simulated device or pipeline, and a plurality of coupons are hung at different positions in the medium; after a period of time, all the coupons are scanned by infrared light, the infrared spectra at different times of each position are collected, and the corresponding coupons are taken out, the scale layer thickness on the coupons is analyzed, and then the correlation analysis is performed with the infrared spectra;

[0016] (2) According to the scale layer thickness and the infrared spectra at different times of each position, a standardized infrared spectrum library of the device or pipeline is constructed, the corresponding relationship between the fouling conditions of each position and the infrared thermographic image is determined, and a quantitative representation of the fouling thickness based on the infrared thermographic image is formed;

[0017] (3) According to the operating temperature, pressure, flow rate and other parameters of the device and pipeline, the medium characteristics and the structural features of the device and pipeline, a numerical simulation method is used to simulate the internal flow and heat transfer conditions of the device and pipeline under different scale layer thickness conditions; when the flow parameters or heat transfer conditions such as the flow state, flow rate and medium distribution in the device and pipeline change obviously, this scale layer thickness is set as the thickness threshold value for alarm.

[0018] (4) subsequently using an infrared thermal imager to monitor and identify the fouling condition of the device or pipeline without stopping production.

[0019] Further, the fouling detection system further comprises a mechanical adjusting device, which comprises a motor and a lifting device, and can change the relative distance between the infrared light emitting module, the device or pipeline to be measured and the infrared imaging module.

[0020] Further, the above step (4) includes three scenarios:

[0021] Scenario one, using a handheld infrared thermal imager to automatically monitor and identify the local fouling condition of the device or pipeline;

[0022] Scenario two, using a drone with an infrared thermal imager to automatically monitor and identify the fouling condition of the device or pipeline along the line;

[0023] Scenario three, using an infrared thermal imager to monitor and identify the fouling condition of a specific area, and then judge the fouling condition of the inner wall of the device and pipeline.

[0024] Further, when the device or pipeline is in maintenance period, the scale thickness of the fouling site in the device is detected in situ, and the standardized infrared spectrum is corrected in combination with the past monitoring values.

[0025] Further, the results of the infrared thermal imager need to be analyzed in situ to understand the flow deviation of the device or pipeline, and the scale thickness threshold preset by the alarm module is verified and corrected.

[0026] Further, the pipeline refers to a non-buried pipeline.

[0027] Further, if the device or pipeline is coated with an insulation layer, the insulation layer is covered with a black cloth or black material before scale monitoring and identification.

[0028] Compared with the prior art, the present application has the following advantages: the present application is a non-contact visualization method, which has no requirements for the conductivity of the device and pipeline structure and internal medium, can effectively monitor and identify the fouling site and condition of the pipeline and device, and can realize online monitoring without stopping production, has the characteristics of intuitive visualization, non-contact large-area detection, fast response, accurate fouling site identification, quantitative fouling thickness, wide application range; can adjust the production process parameters, take timely measures to solve the blockage, effectively improve the production efficiency, and avoid safety accidents caused by fouling blockage of the pipeline and device. BRIEF DESCRIPTION OF DRAWINGS

[0029] Figure 1 Figure 1 is a schematic diagram of a fouling detection system according to the present application;

[0030] Figure 2 Figure 2 is a schematic diagram of a fouling detection method according to the present application;

[0031] Figure 3 Figure 3 is a graph showing the relationship between the thickness of sulfur deposition and temperature in the column body of an absorption tower according to the present application; DETAILED DESCRIPTION

[0032] It should be noted that the following describes the embodiments of the present application through specific, concrete examples, and those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in the specification. The present application can also be implemented or applied through other different specific embodiments, and each detail in the specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0033] In addition, it should be noted that the diagrams provided in the following embodiments only schematically illustrate the basic concept of the present application, and only the components related to the present application are shown in the diagrams, not the number, shape and size of the components when actually implemented. The actual implementation of each component can be randomly changed in shape, number and ratio, and the layout pattern of the components can also be more complex.

[0034] In the description of the present application, unless explicitly defined and limited, the terms "mounting", "connection", "connecting", "setting" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integrally connected; it can be directly connected, or indirectly connected through an intermediate medium. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0035] The specific embodiments of the present application will be further described in detail below with reference to the accompanying drawings:

[0036] A method for monitoring and identifying fouling is applied to a fouling detection system, which combines Figure 1 As shown in the figure, the fouling detection system mainly uses an infrared sensor 2 to measure the temperature and image of the device, pipeline or device area 1 to be detected, wherein the infrared sensor 2 comprises: an explosion-proof module 3 for explosion-proof protection during detection;

[0037] An infrared emission module 4 for emitting infrared light to the detection area according to the emission power;

[0038] An infrared temperature measurement module 5 is configured to acquire temperature data of the device, pipeline or device area 1 and the sampling;

[0039] An infrared imaging module 6 is configured to receive infrared light reflected by the detection area to generate an infrared image of the detection area;

[0040] A high-performance processing module 7 is configured to amplify and filter the detected signal, extract information, convert the information into a required format and transmit the information to a display;

[0041] The fouling detection system further comprises a warning module 9 configured to alarm when the thickness of the scale layer corresponding to the infrared image exceeds a certain threshold value;

[0042] A display terminal 10, mainly a mobile phone and / or a computer in the control room, has a corresponding APP operation component installed thereon, and is more convenient and flexible to use;

[0043] The mechanical adjusting device 8 comprises a motor 8-1 and a lifting device 8-2, the motor 8-1 drives the lifting device 8-2 to move, and the relative distance between the infrared emission module 4 and the device, pipeline or device area 1 and the infrared imaging module 6 can be changed to change the scanning field of view.

[0044] A method for monitoring and identifying scale deposition, specifically comprising indoor simulation, digital simulation, field detection, early warning and field treatment, as shown in Figure 2 The method specifically comprises the following steps:

[0045] (1) First, according to the operating temperature, pressure, flow rate and other parameters of the device and pipeline, the medium characteristics, and the structural characteristics of the device and pipeline, an indoor fouling simulation experiment model is established, the medium is filled in the simulated device or pipeline, and a plurality of coupons are hung at different positions in the medium; after a period of time, all the coupons are scanned by infrared light, the infrared spectrum at different times of each position is collected, and the corresponding coupons are taken out, the scale layer thickness on the coupons is analyzed, and then the correlation analysis is performed with the infrared spectrum;

[0046] (2) According to the scale layer thickness and the infrared spectrum at different times of each position, a standardized infrared spectrum library of the device or pipeline is constructed, the corresponding relationship between the fouling conditions of each position and the infrared thermal imaging diagram is determined, and a quantitative representation of the fouling thickness based on the infrared thermal imaging diagram is formed;

[0047] (3) According to the operating temperature, pressure, flow rate and other parameters of the device and pipeline, the medium characteristics, and the structural characteristics of the device and pipeline, a flow numerical simulation method is used to simulate the internal flow and heat transfer conditions of the device and pipeline under different scale layer thickness conditions; when the flow parameters or heat transfer conditions such as flow state, flow rate and medium distribution in the device and pipeline change obviously, this scale layer thickness is set as the thickness threshold value for alarm;

[0048] (4) Subsequently, the fouling conditions of the device, the pipeline or the device area 1 are monitored and identified by using an infrared thermal imager without stopping the device and the pipeline. The monitoring and identification includes three scenarios as follows:

[0049] Scenario one, the fouling conditions of the local device or pipeline are automatically monitored and identified by using a handheld infrared thermal imager.

[0050] According to the fouling deposition conditions of different parts of the device or pipeline observed during the field maintenance, the fouling deposition rule and the distribution of the fouling deposition serious parts are analyzed to determine the key detection parts and realize the positioning of the fouling parts. At the same time, the infrared thermal imaging graph of the parts with serious fouling deposition is accurately collected, the infrared thermal imaging result is transmitted to the terminal in real time, the temperature distribution of the device or pipeline is analyzed, and the fouling layer thickness is confirmed by comparing with the standardized infrared spectrum. Then, whether to give an alarm is clear by comparing with the alarm thickness threshold of the device, and the corresponding process parameter adjustment and descaling treatment are carried out by the site operator.

[0051] Scenario two, the fouling conditions of the whole device area or the pipeline along the line are automatically monitored and identified by using an infrared thermal imager on a drone.

[0052] The infrared thermal imaging graph of different devices, different parts of the device, different connecting pipelines and parts in the device area is collected, the infrared thermal imaging result is transmitted to the terminal in real time, the temperature distribution of the device or pipeline is analyzed, and the fouling layer thickness is confirmed by comparing with the standardized infrared spectrum. Then, whether to give an alarm is clear by comparing with the alarm thickness threshold of the device, and the corresponding process parameter adjustment and descaling treatment are carried out by the site operator.

[0053] Scenario three, the fouling conditions of a specific area are monitored and identified online by using an infrared thermal imager to further judge the fouling conditions of the inner wall of the device and the pipeline.

[0054] The parts or areas prone to fouling deposition identified during the simulation experiment or the field maintenance are monitored. The relative position is adjusted by the mechanical adjusting device 8, the temperature distribution information and the clear thermal image of the device or pipeline are collected by using the infrared thermal imager, the infrared thermal imaging result is analyzed on site to understand the flow deviation of the device or pipeline, and the fouling layer thickness threshold preset by the alarm module is verified and corrected.

[0055] When the device or pipeline is in the maintenance period, the fouling layer thickness of the fouling parts in the device is detected on site, the standardized infrared spectrum is corrected in combination with the past monitoring values.

[0056] Further, the pipeline refers to a non-buried pipeline.

[0057] Embodiment 1,

[0058] The indoor experiment of a purification device (absorption tower) using a complex iron process as an example is also applied to a fouling detection system, which mainly uses an infrared sensor 2 to measure the temperature and image of the purification device, wherein the infrared sensor 2 comprises: an explosion-proof module 3 for explosion-proof protection during detection;

[0059] An infrared emission module 4 is used to emit infrared light to the detection area according to the emission power;

[0060] An infrared temperature measurement module 5 is used to obtain the temperature data of the device, pipeline or device area 1 to be measured and the sampling;

[0061] An infrared imaging module 6 is used to receive the infrared light reflected back by the detection area, thereby generating an infrared image of the detection area;

[0062] A high-performance processing module 7 is used to amplify and filter the detected signals, extract information, convert the information into a required format and transmit it to a display;

[0063] The fouling detection system further comprises a warning module 9 for alarming when the thickness of the scale layer corresponding to the infrared image exceeds a certain threshold;

[0064] A display terminal 10, mainly a mobile phone and / or a computer in the control room, has a corresponding APP operation component installed thereon, which is more convenient and flexible to use;

[0065] A mechanical adjusting device 8 comprises a motor 8-1 and a lifting device 8-2, the motor 8-1 drives the lifting device 8-2 to move, which can change the relative distance between the infrared emission module 4 and the device, pipeline or device area 1 to be measured and the infrared imaging module 6, so as to change the scanning field of view.

[0066] First, according to the structure, operating temperature, pressure, flow rate, and other parameters of the purification device, medium characteristics, and the like, an indoor absorption tower model corresponding thereto is established indoors, the same medium as in the normal purification device and the same filling amount are filled in the absorption tower model, then a simulation experiment is carried out, coupons are hung at different positions in the absorption tower model and are numbered and recorded; according to the actual application scene and the operating state of the purification device, after a period of operation, the above-mentioned infrared sensor 2 emits infrared light to the absorption tower model at a specific emission power through the infrared emission module 4, and then the infrared imaging module 6 receives the infrared light reflected back from the detection area, thereby generating an infrared image of the coupons in the corresponding detection area; then the infrared sensor 2 is controlled to move by the mechanical adjusting device 8, the coupons at different positions are detected respectively, and an infrared spectrum is formed; then the coupons at different positions are taken out, the thickness of the scale layer on the coupons is observed and analyzed in real time, and is recorded and compared and analyzed in association with the infrared spectrum just detected, the corresponding relationship between the fouling conditions of each position and the infrared thermal imaging spectrum is determined, a relationship graph of the sulfur deposition thickness and the temperature is obtained, and the relationship graph of the sulfur deposition thickness and the temperature of the absorption tower body position is as shown in Figure 3

[0067] Example 2,

[0068] A field detection method (one) of a purification device (absorption tower) using a complex iron process, adopts a method for monitoring and identifying scale deposition, and applies a scale detection system, which mainly uses an infrared sensor 2 to measure the temperature and image of the purification device, wherein the infrared sensor 2 comprises: an explosion-proof module 3 for explosion protection during detection;

[0069] An infrared emission module 4 for emitting infrared light to the detection area according to the emission power;

[0070] An infrared temperature measurement module 5 for obtaining the temperature data of the device, pipeline or device area 1 to be detected and the sampling;

[0071] An infrared imaging module 6 for receiving infrared light reflected back from the detection area, thereby generating an infrared image of the detection area;

[0072] A high-performance processing module 7 for amplifying and filtering the detected signals, extracting information, converting the information into a required format, and transmitting to a display;

[0073] The scale detection system further comprises a warning module 9 for alarming when the scale layer thickness corresponding to the infrared image exceeds a certain threshold value;

[0074] A display terminal 10, mainly a mobile phone and / or a computer in the control room, has a corresponding APP operation component installed thereon, and is more convenient and flexible to use.

[0075] ​In the case of non-stop production of the purification device and its corresponding pipeline, a handheld infrared thermal imager is used to monitor and identify the fouling condition of the local device. If the corresponding monitoring area of the purification device is provided with an insulation layer, and the outside of the insulation layer is covered with iron sheet, before carrying out the fouling layer monitoring and identification, the black cloth or black material is first covered on the outside of the insulation layer. Then the handheld infrared thermal imager is used to detect different parts in the monitoring area of the purification device, and the received infrared thermal imaging results are transmitted to the mobile phone or the display screen of the central control room in real time. The infrared spectrum is displayed on the mobile phone or the display screen of the central control room, and the low temperature part of the device is determined, and compared with the standard curve, and the thickness and temperature relationship simulated in the above embodiment 1 Figure 3 , so as to determine the thickness of the fouling layer of the low temperature part, and identify the serious area of the fouling layer deposition of the purification device. When the thickness of the fouling layer exceeds the alarm thickness threshold, the mobile phone or the central control room gives an audible and visual alarm, and the site personnel carry out corresponding process parameter adjustment and fouling removal treatment according to the part and the relatively serious area of the fouling layer deposition whose thickness exceeds the threshold.

[0076] Embodiment 3,

[0077] A fouling detection system is used to monitor and identify the fouling deposition of a purification device (absorption tower) using complex iron process. The fouling detection system mainly uses infrared sensor 2 to measure the temperature and image of the purification device, wherein the infrared sensor 2 selects an infrared thermal imager, which includes: an explosion-proof module 3 for explosion-proof protection during detection;

[0078] An infrared emission module 4 is used to emit infrared light to the detection area according to the emission power;

[0079] An infrared temperature measurement module 5 is used to obtain the temperature data of the device, pipeline or device area 1 to be measured and the sampling temperature data;

[0080] An infrared imaging module 6 is used to receive the infrared light reflected back from the detection area, so as to generate an infrared image of the detection area;

[0081] A high-performance processing module 7 is used to amplify and filter the detected signals, extract information, convert the information into the required format and transmit it to the display;

[0082] The fouling detection system further includes a warning module 9 for warning when the thickness of the fouling layer corresponding to the infrared image exceeds a certain threshold;

[0083] A display terminal 10, mainly a mobile phone and / or a central control room computer, is installed with a corresponding APP operation component, which is more convenient and flexible to use.

[0084] In the case of non-stop production of the purification device and its corresponding pipeline, an infrared thermal imager is selected to automatically monitor and identify the fouling condition of the overall device area or the pipeline along the line. If there is an insulation layer outside the purification device corresponding to the monitoring area, an iron sheet is used to cover outside the insulation layer. Before carrying out scale layer monitoring and identification, a black cloth or black material is first covered on the outside of the insulation layer. Then, an infrared thermal imager is operated on the unmanned aerial vehicle to detect all devices and pipelines in the device area, and the received corresponding infrared thermal imaging results are transmitted to the mobile phone or the display screen of the central control room in real time. The infrared spectrum is displayed on the mobile phone or the display screen of the central control room, and the low-temperature part of each device and pipeline is determined, compared with the standard curve, and the scale layer thickness corresponding to the low-temperature part is determined. The scale layer deposition serious area of the overall device or pipeline is identified. When the scale layer thickness exceeds the alarm thickness threshold, the mobile phone or the central control room gives an audible and visual alarm. According to the part with scale layer deposition thickness exceeding the threshold and the relatively serious deposition area, corresponding process parameter adjustment and scale removal treatment measures are carried out.

[0085] Example 4,

[0086] A fouling detection system is used to monitor and identify the fouling condition of a purification device (absorption tower) using a complex iron process. The system mainly uses an infrared sensor 2 to measure the temperature and image of the purification device. The infrared sensor 2 includes an explosion-proof module 3 for explosion protection during detection;

[0087] An infrared emission module 4 is used to emit infrared light to the detection area according to the emission power;

[0088] An infrared temperature measurement module 5 is used to obtain the temperature data of the device, pipeline or device area 1 to be measured and the sampling temperature data;

[0089] An infrared imaging module 6 is used to receive the infrared light reflected back from the detection area, thereby generating an infrared image of the detection area;

[0090] A high-performance processing module 7 is used to amplify and filter the detected signals, extract information, convert the information into the required format, and transmit it to the display;

[0091] The fouling detection system also includes a warning module 9 for warning when the scale layer thickness corresponding to the infrared image exceeds a certain threshold;

[0092] A display terminal 10, mainly a mobile phone and / or a central control room computer, has a corresponding APP operation component installed, which is more convenient and flexible to use;

[0093] A mechanical adjusting device 8, which comprises a motor 8-1 and a lifting device 8-2, the motor 8-1 drives the lifting device 8-2 to move, so as to change the relative distance between the infrared emission module 4 and the device to be detected, the pipeline or the device area 1 and the infrared imaging module 6, so as to change the scanning field of view.

[0094] In the case that the purification device and its corresponding pipeline do not stop production, a handheld infrared thermal imager is used to monitor and identify the specific fouling condition of the device. If there is an insulation layer outside the device in the corresponding monitoring area, an iron sheet is used to cover outside the insulation layer. Before carrying out the scale monitoring and identification, a black cloth or black material is first covered on the outside of the insulation layer. Then, for the fouling layer deposition serious area of the purification device detected in embodiment 2, an infrared thermal imager is installed on the side of the purification device. The infrared thermal imager is fixedly installed at the top end of the lifting device 8-2. Then, the motor 8-1 in the mechanical adjusting device 8 drives the lifting device 8-2 to adjust up and down and left and right, so that the probe position of the infrared thermal imager is opposite to the position with serious scale deposition in the purification device. The infrared emission module 4 emits infrared light to the position according to the emission power. The infrared imaging module 6 receives the infrared light emitted back. At the same time, the infrared temperature measuring module 5 samples the temperature data of the corresponding position. The received infrared thermal imaging result and temperature data are transmitted to the display screen of the mobile phone or the central control room in real time. The infrared spectrum is displayed on the mobile phone or the central control room display screen to clearly show the fouling condition of the purification device in the serious scale deposition area. The standard curve is compared to determine the corresponding scale thickness and clarify the change rule of the scale thickness with time. When the scale thickness exceeds the alarm thickness threshold, the mobile phone or the central control room gives an audible and visual alarm. The on-site personnel then carry out subsequent maintenance measures such as adjusting process parameters and descaling.

[0095] Embodiment 5,

[0096] Correction of standard curve and scale thickness alarm threshold, taking a purification device using complex iron process as an example;

[0097] Before the purification device is shut down for maintenance, the above-mentioned scale deposition monitoring and identification method is used. The fouling detection system is used for infrared thermal imaging detection of the entire device. An unmanned aerial vehicle is used to automatically monitor and identify the fouling condition of the entire device area and the pipeline along the line. The infrared thermal imager comprises an explosion-proof module 3 for explosion protection during detection.

[0098] An infrared emission module 4 is used to emit infrared light to the detection area according to the emission power.

[0099] An infrared temperature measuring module 5 is used to obtain the temperature data of the device to be detected, the pipeline or the device area 1.

[0100] an infrared imaging module 6 for receiving infrared light reflected from the detection area to generate an infrared image of the detection area;

[0101] a high-performance processing module 7 for amplifying and filtering the detected signals, extracting information, converting the information into a required format, and transmitting the information to a display.

[0102] If there is a heat preservation layer outside the purification device corresponding to the monitored area, the heat preservation layer is covered with iron sheet outside, and before carrying out scale layer monitoring and identification, black cloth or black material is first covered on the heat preservation layer. Then, according to the standard curve, the temperature distribution and scale layer thickness distribution in the whole device are determined, and the internal flow deviation of the purification device is understood.

[0103] When the purification device is shut down, the field maintenance workers detect the scale layer thickness of different parts in the whole device, and compare it with the scale layer thickness displayed on the mobile phone or the APP on the central control room. The corresponding value in the standard curve is corrected. According to the internal flow deviation of the purification device, the scale layer thickness alarm threshold is corrected.

[0104] Example 6,

[0105] The scale layer thickness monitoring and identification method for ground pipelines is applied to a scale detection system, which mainly uses an infrared sensor 2 to measure the temperature and image of ground pipelines, wherein the infrared sensor 2 selects an infrared thermal imager, which includes: an explosion-proof module 3 for explosion-proof protection during detection;

[0106] an infrared emission module 4 for emitting infrared light to the detection area according to the emission power;

[0107] an infrared temperature measurement module 5 for obtaining the temperature data of the device, pipeline or device area 1 to be measured and sampling;

[0108] an infrared imaging module 6 for receiving infrared light reflected from the detection area to generate an infrared image of the detection area;

[0109] a high-performance processing module 7 for amplifying and filtering the detected signals, extracting information, converting the information into a required format, and transmitting the information to a display.

[0110] The scale detection system further includes a warning module 9 for alarming when the scale layer thickness corresponding to the infrared image exceeds a certain threshold.

[0111] The display terminal 10 is mainly a mobile phone and / or a computer in the central control room, which has a corresponding APP operation component installed thereon, and is more convenient and flexible to use.

[0112] In the case of no shutdown of the ground pipeline, the handheld infrared thermal imager is used to monitor and identify the local fouling condition of the ground pipeline. If the ground pipeline corresponding to the monitoring area is provided with an insulation layer, the outside of the insulation layer is covered with an iron sheet, and before carrying out the fouling layer monitoring and identification, the black cloth or black material is first covered on the outside of the insulation layer. Then the handheld infrared thermal imager is used to detect different parts in the monitoring area in the axial and radial directions of the ground pipeline, and the received infrared thermal imaging results are transmitted to the display screen of the mobile phone or the central control room in real time. The infrared spectrum is displayed on the mobile phone or the central control room display screen, and the low temperature part of the ground pipeline is determined. By comparing with the standard curve, the thickness of the fouling layer in the low temperature part is determined, and the fouling layer deposition serious area of the ground pipeline is identified. When the thickness of the fouling layer exceeds the alarm thickness threshold, the mobile phone or the central control room gives an audible and visual alarm. According to the part and relatively serious area of the fouling layer deposition whose thickness exceeds the threshold, the corresponding process parameter adjustment and fouling removal treatment measures are carried out.

[0113] Example 7,

[0114] The fouling layer thickness monitoring and identification method for the ground pipeline is applied to a fouling detection system, which mainly uses an infrared sensor 2 to measure the temperature and image of the ground pipeline. The infrared sensor 2 selects an infrared thermal imager, which includes an explosion-proof module 3 for explosion-proof protection during detection.

[0115] An infrared emission module 4 is used to emit infrared light to the detection area according to the emission power;

[0116] An infrared temperature measurement module 5 is used to obtain the temperature data of the device, pipeline or device area 1 to be measured and the sampling temperature data;

[0117] An infrared imaging module 6 is used to receive the infrared light reflected back from the detection area, thereby generating an infrared image of the detection area;

[0118] A high-performance processing module 7 is used to amplify and filter the detected signals, extract information, convert the information into the required format and transmit it to the display;

[0119] The fouling detection system further includes a warning module 9 for warning when the thickness of the fouling layer corresponding to the infrared image exceeds a certain threshold;

[0120] A display terminal 10, mainly a mobile phone and / or a central control room computer, has a corresponding APP operation component installed thereon, which is more convenient and flexible to use.

[0121] In the case of no shutdown of the ground pipeline, an infrared thermal imager is installed on the unmanned aerial vehicle to monitor and identify the fouling condition of the ground pipeline along the line. If the ground pipeline corresponding to the monitoring area is provided with a heat preservation layer, the outside of the heat preservation layer is covered with iron sheet, and before carrying out fouling layer monitoring and identification, black cloth or black material is first covered on the outside of the heat preservation layer. Then the infrared thermal imager on the unmanned aerial vehicle is controlled to detect different parts in the axial and radial directions of the ground pipeline, and the detection results are associated with the direction and overall structure of the ground pipeline. The received infrared thermal imaging results are transmitted to the display screen of the mobile phone or the central control room in real time, and the infrared spectrum is displayed on the display screen of the mobile phone or the central control room, so as to determine the fouling layer thickness of the low temperature part of the ground pipeline, and identify the fouling layer deposition serious area of the ground pipeline. When the fouling layer thickness exceeds the alarm thickness threshold, the mobile phone or the central control room gives an audible and visual alarm, and the site personnel carry out corresponding process parameter adjustment and fouling removal treatment according to the part and relatively serious area where the fouling layer deposition thickness exceeds the threshold.

[0122] Example 8,

[0123] The indoor experiment of a flash tank using complex iron process is also applied to a fouling detection system, which mainly uses an infrared sensor 2 to measure the temperature and image of the flash tank. The infrared sensor 2 includes an explosion-proof module 3 for explosion-proof protection during detection;

[0124] An infrared emission module 4 is used to emit infrared light to the detection area according to the emission power;

[0125] An infrared temperature measurement module 5 is used to obtain the temperature data of the device, pipeline or device area 1 to be measured and the sampling temperature data;

[0126] An infrared imaging module 6 is used to receive the infrared light reflected back from the detection area, thereby generating an infrared image of the detection area;

[0127] A high-performance processing module 7 is used to amplify and filter the detected signals, extract information, convert the information into the required format and transmit it to the display;

[0128] The fouling detection system also includes a warning module 9 for warning when the fouling layer thickness corresponding to the infrared image exceeds a certain threshold;

[0129] A display terminal 10, mainly a mobile phone and / or a central control room computer, is installed with corresponding APP operation components, which is more convenient and flexible to use;

[0130] A mechanical adjusting device 8 is arranged, which comprises a motor 8-1 and a lifting device 8-2, the motor 8-1 drives the lifting device 8-2 to move, so as to change the relative distance between the infrared emission module 4 and the device to be measured, the pipeline or the device area 1 and the infrared imaging module 6, so as to change the scanning field of view.

[0131] Firstly, according to the structure, operating temperature, pressure, flow rate and other parameters of the flash tank, medium characteristics and the like, an indoor flash tank model corresponding thereto is established in a room, the same medium as in the normal flash tank and the same filling amount are filled in the flash tank model, then a simulation experiment is carried out, and coupons are hung at different positions in the flash tank model and numbered and recorded; according to the actual application scene and operating state of the flash tank, after a period of operation, the infrared sensor 2 is used to emit infrared light to the flash tank model according to a specific emission power through the infrared emission module 4, then the infrared imaging module 6 receives the infrared light reflected back from the detection area, so as to generate an infrared image of the coupons in the detection area; then the infrared sensor 2 is controlled to move by the mechanical adjusting device 8, the coupons at different positions are detected respectively, and an infrared spectrum is formed; then the coupons at different positions are taken out, the thickness of the scale layer on the coupons is observed and analyzed in real time, and is recorded and compared and analyzed with the infrared spectrum just detected, the corresponding relationship between the fouling conditions of each position and the infrared thermal imaging spectrum is determined, and a relationship diagram of the sulfur deposition thickness and the temperature is obtained.

[0132] Example 9,

[0133] A method for detecting a flash tank adopting a complex iron process (one), a method for monitoring and identifying scale deposition is adopted, a scale detection system is applied, the scale detection system mainly uses an infrared sensor 2 to measure the temperature and image of the purification device, wherein the infrared sensor 2 comprises: an explosion-proof module 3 for explosion protection during detection;

[0134] An infrared emission module 4 is used to emit infrared light to the detection area according to the emission power;

[0135] An infrared temperature measurement module 5 is used to obtain the temperature data of the device to be measured, the pipeline or the device area 1 and the sampling;

[0136] An infrared imaging module 6 is used to receive the infrared light reflected back from the detection area, so as to generate an infrared image of the detection area;

[0137] A high-performance processing module 7 is used to amplify and filter the detected signals, extract information, convert the information into a required format and transmit to a display;

[0138] The scale detection system further comprises a warning module 9 for alarming and prompting when the scale layer thickness corresponding to the infrared image exceeds a certain threshold value;

[0139] The display terminal 10, mainly mobile phone and / or computer in the control room, has corresponding APP operation components installed thereon, and is more convenient and flexible to use.

[0140] In the case that the flash tank and its corresponding pipeline do not stop production, a handheld infrared thermal imager is used to monitor and identify the fouling condition of the local device. If the flash tank outside the corresponding monitoring area is provided with a heat preservation layer, the outside of the heat preservation layer is covered with iron sheet, and before carrying out scale layer monitoring and identification, black cloth or black material is first covered on the outside of the heat preservation layer. Then the handheld infrared thermal imager is used to detect different parts in the monitoring area of the flash tank, correlate with the overall diagram of the flash tank, and the received infrared thermal imaging results are transmitted to the display screen of the mobile phone or the control room in real time. The infrared spectrum is displayed on the display screen of the mobile phone or the control room, the low temperature part of the device is determined, compared with the standard curve, and the thickness-temperature relationship diagram simulated in the above embodiment 8 is referred to, so as to determine the scale layer thickness of the low temperature part, and the scale layer deposition serious area of the flash tank is identified. When the scale layer thickness exceeds the alarm thickness threshold, the mobile phone or the control room gives an audible and visual alarm, and the site personnel carry out corresponding process parameter adjustment and scale removal treatment according to the part where the scale layer deposition thickness exceeds the threshold and the relatively serious deposition area.

[0141] Embodiment 10,

[0142] A field detection method for a flash tank using complex iron process (No. 2), using a scale detection system, which mainly uses an infrared sensor 2 to measure the temperature and image of the purification device, wherein the infrared sensor 2 is an infrared thermal imager, which comprises: an explosion-proof module 3 for explosion-proof protection during detection;

[0143] An infrared emission module 4 for emitting infrared light to the detection area according to the emission power;

[0144] An infrared temperature measurement module 5 for obtaining the temperature data of the device, pipeline or device area 1 to be measured and the sampling temperature data;

[0145] An infrared imaging module 6 for receiving the infrared light reflected back from the detection area to generate an infrared image of the detection area;

[0146] A high-performance processing module 7 for amplifying and filtering the detected signals, extracting information, converting the information into a required format and transmitting it to a display;

[0147] The scale detection system further comprises a warning module 9 for warning when the scale layer thickness corresponding to the infrared image exceeds a certain threshold;

[0148] The display terminal 10, mainly mobile phone and / or computer in the control room, has corresponding APP operation components installed thereon, and is more convenient and flexible to use.

[0149] In the case that the flash tank and its corresponding pipeline do not stop production, an infrared thermal imager is selected to be carried on the unmanned aerial vehicle to automatically monitor and identify the fouling condition of the overall flash tank device area or the pipeline along the line. If there is an insulation layer outside the corresponding monitoring area of the flash tank or the pipeline, an iron sheet is used to cover outside the insulation layer. Before carrying out scale layer monitoring and identification, a black cloth or black material is first covered outside the insulation layer. Then, the infrared thermal imager carried on the unmanned aerial vehicle is controlled to detect all devices and pipelines in the device area, and is associated with the overall diagram of all devices and pipelines in the device area. The received corresponding infrared thermal imaging results are transmitted to the display screen of the mobile phone or the control room in real time. The infrared spectrum is displayed on the display screen of the mobile phone or the control room, and the low temperature position of each device and pipeline is clear. By comparing with the standard curve, the thickness of the scale layer corresponding to the low temperature position is determined, and the scale layer deposition serious area of the overall device or pipeline is identified. When the scale layer thickness exceeds the alarm thickness threshold, the mobile phone or the control room gives an audible and visual alarm. According to the position and relatively serious area of the scale layer deposition thickness exceeding the threshold, the corresponding process parameter adjustment and scale removal treatment measures are carried out.

[0150] Example 11,

[0151] A third on-site detection method for a flash tank using a complex iron process is based on the identification of the scale deposition serious area of the flash tank in the above-mentioned example 10. The method for monitoring and identifying scale deposition is applied to a scale detection system. The scale detection system mainly uses an infrared sensor 2 to measure the temperature and image of the purification device. The infrared sensor 2 includes an explosion-proof module 3 for explosion protection during detection;

[0152] An infrared emission module 4 is used to emit infrared light to the detection area according to the emission power;

[0153] An infrared temperature measurement module 5 is used to obtain the temperature data of the device, pipeline or device area 1 to be measured and the sampling temperature data;

[0154] An infrared imaging module 6 is used to receive the infrared light reflected back from the detection area, thereby generating an infrared image of the detection area;

[0155] A high-performance processing module 7 is used to amplify and filter the detected signals, extract information, convert the information into the required format, and transmit it to the display;

[0156] The scale detection system further includes a warning module 9 for warning when the scale layer thickness corresponding to the infrared image exceeds a certain threshold;

[0157] The display terminal 10, mainly a mobile phone and / or a computer in the control room, is installed with a corresponding APP operation component, and is more convenient and flexible to use.

[0158] The mechanical adjusting device 8 comprises a motor 8-1 and a lifting device 8-2, the motor 8-1 drives the lifting device 8-2 to move, and the relative distance between the infrared emission module 4 and the device, pipeline or device area 1 to be detected and the infrared imaging module 6 can be changed, so as to change the scanning field of view.

[0159] In the case that the flash tank and its corresponding pipeline do not stop production, a handheld infrared thermal imager is used to monitor and identify the specific fouling condition of the flash tank device. If there is an insulation layer outside the device in the corresponding monitoring area, an iron sheet is used to cover outside the insulation layer. Before carrying out scale layer monitoring and identification, black cloth or black material is first covered on the outside of the insulation layer. Then, for the fouling layer deposition serious area of the flash tank detected in embodiment 10, an infrared thermal imager is installed on the side of the flash tank, and the infrared thermal imager is fixedly installed at the top end of the lifting device 8-2. Then, the motor 8-1 in the mechanical adjusting device 8 drives the lifting device 8-2 to adjust up and down and left and right, so that the probe position of the infrared thermal imager is opposite to the position with serious scale deposition in the flash tank. The infrared emission module 4 emits infrared light to the position according to the emission power, the infrared imaging module 6 receives the infrared light emitted back, at the same time, the infrared temperature measuring module 5 samples the temperature data of the corresponding position, and the received infrared thermal imaging result and temperature data are transmitted in real time to the display screen of the mobile phone or the control room. The infrared spectrum is displayed on the display screen of the mobile phone or the control room, the fouling condition of the flash tank in the serious scale deposition area is clear, the standard curve is compared, the corresponding scale thickness is determined, and the change rule of the scale thickness with time is clear. When the scale thickness exceeds the alarm thickness threshold, the mobile phone or the control room gives an audible and visual alarm, and the on-site personnel carry out corresponding process parameter adjustment and scale removal treatment and other follow-up maintenance measures.

[0160] Embodiment 12,

[0161] Correction of standard curve and scale thickness alarm threshold, taking a flash tank using complex iron process as an example;

[0162] Before the flash tank is shut down for maintenance, the above-mentioned scale deposition monitoring and identification method is used, and the fouling detection system is used for infrared thermal imaging detection of the entire device. An unmanned aerial vehicle is used to automatically monitor and identify the fouling condition of the entire device and the pipeline along the device. The infrared thermal imager comprises an explosion-proof module 3 for explosion protection during detection.

[0163] The infrared emission module 4 is used to emit infrared light to the detection area according to the emission power.

[0164] an infrared temperature measurement module 5 for acquiring temperature data of the device, pipeline or device area 1 to be measured and the sampling;

[0165] an infrared imaging module 6 for receiving infrared light reflected by the detection area to generate an infrared image of the detection area;

[0166] a high-performance processing module 7 for amplifying and filtering the detected signals, extracting information, converting the information into a required format and transmitting the information to a display.

[0167] If there is a heat preservation layer outside the flash tank corresponding to the monitored area, the outside of the heat preservation layer is covered with iron sheet, and before carrying out scale layer monitoring and identification, black cloth or black material is first covered outside the heat preservation layer. Then, according to the standard curve, the temperature distribution and scale layer thickness distribution in the whole device are determined, and the internal flow deviation of the flash tank is understood.

[0168] When the flash tank is shut down, the field maintenance workers detect the scale layer thickness of different parts inside the flash tank device on site, and compare it with the scale layer thickness displayed on the APP in the mobile phone or central control room. The corresponding value in the standard curve is corrected. According to the internal flow deviation of the flash tank, the scale layer thickness alarm threshold is corrected.

[0169] Example 13,

[0170] The scale layer thickness monitoring and identification method for overhead pipelines is applied to a scale detection system, which mainly uses an infrared sensor 2 to measure the temperature and image of overhead pipelines, wherein the infrared sensor 2 selects an infrared thermal imager, which includes: an explosion-proof module 3 for explosion-proof protection during detection;

[0171] an infrared emission module 4 for emitting infrared light to the detection area according to the emission power;

[0172] an infrared temperature measurement module 5 for acquiring temperature data of the device, pipeline or device area 1 to be measured and the sampling;

[0173] an infrared imaging module 6 for receiving infrared light reflected by the detection area to generate an infrared image of the detection area;

[0174] a high-performance processing module 7 for amplifying and filtering the detected signals, extracting information, converting the information into a required format and transmitting the information to a display.

[0175] The scale detection system further includes a warning module 9 for warning when the scale layer thickness corresponding to the infrared image exceeds a certain threshold.

[0176] The display terminal 10, mainly mobile phone and / or computer in the control room, is provided with corresponding APP operation components, and is more convenient and flexible to use.

[0177] In the case of no shutdown of overhead pipeline, an infrared thermal imager is installed on the unmanned aerial vehicle to monitor and identify the fouling condition of the overhead pipeline along the line. If the overhead pipeline outside the corresponding monitoring area is provided with a thermal insulation layer, the outside of the thermal insulation layer is covered with iron sheet, and before carrying out the fouling layer monitoring and identification, the thermal insulation layer is first covered with black cloth or black material. Then the infrared thermal imager on the unmanned aerial vehicle is controlled to detect different parts in the axial and radial directions of the overhead pipeline, and the detection result is associated with the direction and overall structure of the overhead pipeline. The received infrared thermal imaging result is transmitted to the display screen of the mobile phone or the control room in real time, and the infrared spectrum is displayed on the display screen of the mobile phone or the control room. The low temperature part of the overhead pipeline is determined, and the fouling layer thickness of the low temperature part is determined by comparing with the standard curve, so that the fouling layer deposition serious area of the overhead pipeline is identified. When the fouling layer thickness exceeds the alarm thickness threshold, the mobile phone or the control room gives an audible and visual alarm. According to the part and relatively serious area where the fouling layer deposition thickness exceeds the threshold, corresponding process parameter adjustment and fouling removal treatment measures are carried out.

[0178] The above-mentioned fouling deposition monitoring and identification method is also applicable to regenerator, settling tank and other purification devices, as well as ground gas gathering pipeline, ground gas transmission pipeline, gas gathering station pipeline, device inter-pipeline and other devices or equipment prone to fouling deposition.

[0179] The proportion of sulfur-containing gas field in the proven natural gas fields in China is about 50%, and the complex iron process is mainly used for the purification treatment of H2S in low-sulfur gas field. In the purification process of the desulfurization station, the hydrophobic fine sulfur particles generated in the process are easily adhered to the device, pipeline, valve and wall during the oxidation of hydrogen sulfide gas to elemental sulfur by the complex iron solution, which can easily cause equipment and pipeline blockage, thereby affecting the service life of the desulfurization equipment and normal operation, causing the gas field to shut down, and even causing safety accidents.

[0180] The H2S content in Daniudi gas field of Huabei Oil and Gas Branch Company is tens to ten thousand ppm, and the desulfurization station has been shut down 14 times due to sulfur plugging in one year, with a shutdown time of 30.6 days. The production separator, flare knockout drum and metering separator of the gathering and transportation system in Puguang and Yuanba gas fields all have different degrees of elemental sulfur precipitation and deposition. It is very important to monitor and identify the condition in the device without affecting the production. On the basis of monitoring and identifying the fouling condition of the device and pipeline wall, the production process parameters are adjusted, the plugging measures are taken in time, the production efficiency is effectively improved, and the safety accidents caused by fouling plugging of the pipeline and device are avoided. Therefore, the present application has good application prospect.

[0181] Of course, the above description is not a limitation on the present application, and the present application is not limited to the above examples. Changes, modifications, additions or substitutions made by those skilled in the art within the spirit and scope of the present application should also be included in the protection scope of the present application.

Claims

1. A method of monitoring and identifying scale deposition applied to a scale detection system, characterized by, The fouling detection system utilizes infrared sensors to measure temperature and image the device, pipeline or device area to be detected, comprising: An explosion-proof module for explosion-proof protection during detection; An infrared emission module for emitting infrared light to the detection area according to the emission power; An infrared temperature measurement module for acquiring temperature data of the device, pipeline and sample to be measured; An infrared imaging module for receiving infrared light reflected back from the detection area to generate an infrared image of the detection area; A high-performance processing module for amplifying and filtering the detected signals, extracting information, converting the information into a required format and transmitting it to a display; An alarm module for providing early warning when the thickness of the scale layer corresponding to the infrared image exceeds a certain threshold; A display terminal, which is a mobile phone and / or a computer in the central control room, and has a corresponding APP operation component installed thereon; The method for monitoring and identifying scale deposition specifically comprises the following steps: (1) First, according to the operating temperature, pressure, flow rate and other parameters of the device and pipeline, the medium characteristics, and the structural characteristics of the device and pipeline, a simulation experiment model is established in the laboratory, the medium is filled in the simulation device or pipeline, and a plurality of coupons are hung at different positions in the medium; after a period of time, all the coupons are scanned by infrared light, the infrared spectra at different times of each position are collected, and the corresponding coupons are taken out, the scale layer thickness on the coupons is analyzed, and then the correlation analysis is performed with the infrared spectra; (2) According to the scale layer thickness and infrared spectra at different times of each position, a standardized infrared spectrum library of the device or pipeline is constructed, the corresponding relationship between the scale deposition condition of each position and the infrared thermal imaging diagram is determined, and a quantitative representation of the scale thickness based on the infrared thermal imaging diagram is formed; (3) According to the operating temperature, pressure, flow rate and other parameters of the device and pipeline, the medium characteristics, and the structural characteristics of the device and pipeline, a numerical simulation method is used to simulate the internal flow and heat transfer conditions of the device and pipeline under different scale layer thickness conditions; when the flow parameters or heat transfer conditions of the device and pipeline, such as flow state, flow rate, and medium distribution, change significantly, this scale layer thickness is set as the thickness threshold for alarm; (4) Then, the infrared thermal imager is used to monitor and identify the scale deposition condition of the device or pipeline without stopping production.

2. A method of monitoring and identifying scale deposition according to claim 1, characterized in that: The fouling detection system further comprises a mechanical adjusting device, which comprises a motor and a lifting device, and can change the relative distance between the infrared light emission module, the device or pipeline to be measured, and the infrared imaging module.

3. A method of monitoring and identifying scale deposition according to claim 1, wherein, The above step (4) includes three scenarios: Scenario one, a handheld infrared thermal imager is used to automatically monitor and identify the scale deposition condition of a local device or pipeline; Scenario two, a drone with an infrared thermal imager is used to automatically monitor and identify the scale deposition condition of the entire device area or along the pipeline; Scenario three, an infrared thermal imager is used to monitor and identify the scale deposition condition of a specific area, and then judge the scale deposition condition of the inner wall of the device and pipeline.

4. The method of claim 1, wherein: When the device or pipeline is in the maintenance period, the scale layer thickness of the scale deposition position in the device is detected in the field, and the standardized infrared spectrum is corrected in combination with the past monitoring values.

5. The method of claim 1, wherein: It is also necessary to analyze the results of the infrared thermal imager on site to understand the bias flow of the device or pipeline and verify and correct the scale thickness threshold preset by the alarm module.

6. The method of claim 1, wherein: The pipeline refers to a non-buried pipeline.

7. The method of claim 1, wherein: If the device or pipeline is coated with an insulation layer outside, the insulation layer is coated with iron sheet outside, and before carrying out scale monitoring and identification, black cloth or black material is covered on the outside of the insulation layer.

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