Steam pipeline leakage online detection and alarm method and system

Abstract

The invention relates to the technical field of steam pipeline monitoring. A steam pipeline leakage on-line detection and alarm method and system specifically comprises the steps that a camera obtains thermal imaging image data of a steam pipeline entering a monitoring range of the camera in real time and transmits the thermal imaging data to a controller, the controller extracts real-time temperature distribution data of a corresponding steam pipeline area from each thermal imaging image data, and the real-time temperature distribution data is sent to the controller; thermal imaging image data with abnormal temperature is transmitted to a display screen, the temperature abnormal position of the steam pipeline is determined, and temperature abnormal alarm is triggered. The system has the beneficial effects that the operation state of the high-temperature steam pipeline can be monitored in real time, once the steam pipeline leaks, a temperature abnormal picture is popped out on the monitoring display screen, an alarm is triggered, and workers are replaced to inspect a dangerous area of the steam pipeline.

Description

Technical Field

[0001] The present invention relates to the technical field of steam pipeline monitoring, and in particular to a method and system for online detection and alarm of steam pipeline leakage. Background Art

[0002] Steam pipelines are widely used in the steel, chemical, and power generation industries. They are crucial energy transport equipment. High-temperature, high-pressure steam generated by boilers is transported through pipes and valves to designated users or turbine generator sets for power generation. The steam pressure can reach 8.8 MPa and the temperature can reach 535°C. High-temperature, high-pressure steam is a high-energy medium. A leak in a steam pipeline poses a serious threat to production safety. Therefore, leaks must be promptly addressed to prevent casualties.

[0003] The traditional method of detecting steam pipe leaks relies on the five senses, requiring personnel to go near the steam pipe to see with the naked eye and listen to sounds. Relying on human inspection has certain inaccuracies and lags. In addition, superheated steam leaks are colorless, and the specific leakage point cannot be determined by sound alone. The safety risks of personnel conducting on-site inspections are very high. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system for online detection and alarm of steam pipeline leakage, which can monitor the operating status of high-temperature steam pipelines in real time. Once a leak occurs in the steam pipeline, an abnormal temperature screen will pop up on the monitoring display and trigger an alarm, replacing the staff to inspect the dangerous areas of the steam pipeline.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: A method for online detection and alarm of steam pipeline leakage includes the following steps: Step S1: installing a plurality of cameras within a 20-meter range of the steam pipe area, wherein the cameras acquire thermal imaging data of the steam pipes within their monitoring range in real time and transmit the thermal imaging data to a controller; Step S2: The controller extracts the real-time temperature distribution data of the corresponding steam pipe area from each thermal imaging image data, and performs calculation analysis to determine whether the real-time temperature distribution data exceeds a preset safety threshold. If so, step S3 is executed, otherwise, the controller returns to step S1; Step S3: The controller transmits the thermal imaging image data corresponding to the temperature anomaly to the display screen to determine the temperature anomaly location of the steam pipeline; Step S4: the controller generates an alarm signal and sends it to the sound and light alarm, and the sound and light alarm receives the corresponding alarm signal and triggers a temperature abnormality alarm.

[0006] Furthermore, in the step S1, the thermal imaging image data acquired by the camera is first converted into an electrical signal in the form of an image signal, and then transmitted to the controller.

[0007] Furthermore, in the step S1, the shooting range of the camera is 120 degrees.

[0008] Furthermore, in step S1, the camera performs infrared thermal imaging scanning on the surface of the steam pipe to obtain thermal imaging image data, and performs non-uniformity correction and geometric correction on the thermal imaging image data to obtain corrected thermal imaging image data.

[0009] Furthermore, in step S2, the controller performs adaptive threshold segmentation processing on the corrected thermal imaging image data, identifies temperature abnormality areas in the thermal imaging image data, and then obtains the temperature hotspot area of ​​the steam pipe through morphological processing, and performs local weighted average filtering on the temperature hotspot area of ​​the steam pipe to obtain real-time temperature distribution data after noise reduction.

[0010] Furthermore, in step S2, the controller digitally processes the real-time temperature distribution data through a preset machine learning algorithm, and outputs a real-time temperature value that can be compared with a preset safety threshold.

[0011] The present invention also provides a system for online detection and alarm of steam pipeline leakage, which is used to implement the method for online detection and alarm of steam pipeline leakage. The system includes: A camera is used to collect thermal imaging image data of the steam pipe area and perform data preprocessing on the thermal imaging image data; a controller, the controller being interconnected with the camera via a first control cable, the controller being configured to employ an adaptive threshold segmentation algorithm, morphological operations, and a preset machine learning algorithm to identify and refine the thermal imaging image data, obtain corresponding real-time temperature distribution data, and determine whether to generate an alarm signal based on a comparison analysis with a preset safety threshold; a display screen, the display screen being connected to the controller via a second control cable, the display screen being used to display a thermal imaging image corresponding to the temperature anomaly, marking and determining the temperature anomaly location of the steam pipeline; The sound and light alarm is connected to the controller via a third control cable and is used to perform sound and light alarm according to the alarm signal.

[0012] The beneficial effects of the present invention are as follows: the present invention can monitor the operating status of the high-temperature steam pipeline in real time. Once a leak occurs in the steam pipeline, an abnormal temperature screen will pop up on the monitoring display screen and trigger an alarm, replacing the staff to conduct inspections of dangerous areas of the steam pipeline, effectively avoiding the inaccuracy and lag that exist when relying on staff inspections, and also avoiding the greater safety risks of staff during on-site inspections. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 The present invention is a structural diagram of a system for online detection and alarm of steam pipeline leakage. DETAILED DESCRIPTION

[0014] The technical solutions in the embodiments of the present invention will be described below with reference to the accompanying drawings.

[0015] like Figure 1 As shown, a method for online detection and alarm of steam pipeline leakage includes the following steps: Step S1: installing a plurality of cameras 1 within a 20-meter range of the steam pipe area, wherein the cameras 1 acquire thermal imaging data of the steam pipe within their monitoring range in real time and transmit the thermal imaging data to the controller 2; Step S2: The controller 2 extracts the real-time temperature distribution data of the corresponding steam pipe area from each thermal imaging image data, and performs calculation analysis to determine whether the real-time temperature distribution data exceeds a preset safety threshold. If so, step S3 is executed, otherwise, the process returns to step S1; Step S3: the controller 2 transmits the thermal imaging image data corresponding to the temperature anomaly to the display screen 3 to determine the temperature anomaly location of the steam pipeline; Step S4: the controller 2 generates an alarm signal and sends it to the sound and light alarm 4. The sound and light alarm 4 receives the corresponding alarm signal and triggers a temperature abnormality alarm.

[0016] In step S1 , the thermal imaging image data acquired by the camera 1 is first converted into an electrical signal in the form of an image signal, and then transmitted to the controller 2 .

[0017] In the step S1, the shooting range of the camera 1 is 120 degrees.

[0018] In the step S1, the camera 1 performs infrared thermal imaging scanning on the surface of the steam pipe to obtain thermal imaging image data, and performs non-uniformity correction and geometric correction on the thermal imaging image data to obtain corrected thermal imaging image data.

[0019] In step S2, the controller 2 performs adaptive threshold segmentation processing on the corrected thermal imaging image data, identifies temperature abnormality areas in the thermal imaging image data, and then obtains the temperature hotspot area of ​​the steam pipe through morphological processing, and performs local weighted average filtering on the temperature hotspot area of ​​the steam pipe to obtain real-time temperature distribution data after noise reduction.

[0020] In step S2, the controller 2 digitally processes the real-time temperature distribution data through a preset machine learning algorithm, and outputs a real-time temperature value that can be compared with a preset safety threshold.

[0021] The present invention also provides a system for online detection and alarm of steam pipeline leakage, which is used to implement the method for online detection and alarm of steam pipeline leakage. The system includes: Camera 1, the camera 1 is used to collect thermal imaging image data of the steam pipe area and perform data preprocessing on the thermal imaging image data; Controller 2, said controller 2 being interconnected with camera 1 via a first control cable 5, said controller 2 being used to identify and refine thermal imaging image data using an adaptive threshold segmentation algorithm, morphological operations, and a preset machine learning algorithm to obtain corresponding real-time temperature distribution data, and to determine whether to generate an alarm signal based on comparison and analysis with a preset safety threshold; A display screen 3, wherein the display screen 3 is connected to the controller 2 via a second control cable 6, and is used to display a thermal imaging image corresponding to the temperature anomaly, marking and determining the temperature anomaly location of the steam pipeline; The sound and light alarm 4 is connected to the controller 2 via a third control cable 7. The sound and light alarm 4 is used to perform sound and light alarm according to the alarm signal.

[0022] It should be noted that the present invention solves the problem that traditional steam pipe leakage detection methods require personnel to go near the steam pipe to see with the naked eye and listen to the sound. In view of the fact that superheated steam leakage is colorless and the specific leakage point cannot be determined by sound alone, the present invention can effectively monitor the operating status of the high-temperature steam pipe in real time. Once a leak occurs in the steam pipe, an abnormal temperature screen will pop up on the monitoring display and trigger an alarm, replacing the staff to conduct inspections of dangerous areas of the steam pipe, effectively avoiding the inaccuracy and lag that exist when relying on staff inspections, and also avoiding the greater safety risks of staff during on-site inspections.

Claims

1. A method for online detection and alarm of steam pipeline leakage, characterized by: The following steps are involved: Step S1: installing a plurality of cameras within a 20-meter range of the steam pipe area, wherein the cameras acquire thermal imaging data of the steam pipes within their monitoring range in real time and transmit the thermal imaging data to a controller; Step S2: The controller extracts the real-time temperature distribution data of the corresponding steam pipe area from each thermal imaging image data, and performs calculation analysis to determine whether the real-time temperature distribution data exceeds a preset safety threshold. If so, step S3 is executed, otherwise, the controller returns to step S1; Step S3: The controller transmits the thermal imaging image data corresponding to the temperature anomaly to the display screen to determine the temperature anomaly location of the steam pipeline; Step S4: the controller generates an alarm signal and sends it to the sound and light alarm, and the sound and light alarm receives the corresponding alarm signal and triggers a temperature abnormality alarm.

2. The method for online detection and alarm of steam pipeline leakage according to claim 1, characterized in that: In the step S1, the thermal imaging image data acquired by the camera is first converted into an electrical signal in the form of an image signal, and then transmitted to the controller.

3. The method for online detection and alarm of steam pipeline leakage according to claim 1, characterized in that: In the step S1, the shooting range of the camera is 120 degrees.

4. The method for online detection and alarm of steam pipeline leakage according to claim 1 or 3, characterized in that: In the step S1, the camera performs infrared thermal imaging scanning on the surface of the steam pipe to obtain thermal imaging image data, and performs non-uniformity correction and geometric correction on the thermal imaging image data to obtain corrected thermal imaging image data.

5. The method for online detection and alarm of steam pipeline leakage according to claim 4, characterized in that: In step S2, the controller performs adaptive threshold segmentation processing on the corrected thermal imaging image data, identifies temperature abnormality areas in the thermal imaging image data, and then obtains the temperature hotspot area of ​​the steam pipe through morphological processing, and performs local weighted average filtering on the temperature hotspot area of ​​the steam pipe to obtain real-time temperature distribution data after noise reduction.

6. The method for online detection and alarm of steam pipeline leakage according to claim 5, characterized in that: In step S2, the controller digitally processes the real-time temperature distribution data through a preset machine learning algorithm and outputs a real-time temperature value that can be compared with a preset safety threshold.

7. A system for online detection and alarm of steam pipeline leakage, used to implement the method for online detection and alarm of steam pipeline leakage according to any one of claims 1 to 6, characterized in that: The system comprises: A camera is used to collect thermal imaging image data of the steam pipe area and perform data preprocessing on the thermal imaging image data; a controller, the controller being interconnected with the camera via a first control cable, the controller being configured to employ an adaptive threshold segmentation algorithm, morphological operations, and a preset machine learning algorithm to identify and refine the thermal imaging image data, obtain corresponding real-time temperature distribution data, and determine whether to generate an alarm signal based on a comparison analysis with a preset safety threshold; a display screen, the display screen being connected to the controller via a second control cable, the display screen being used to display a thermal imaging image corresponding to the temperature anomaly, marking and determining the temperature anomaly location of the steam pipeline; The sound and light alarm is connected to the controller via a third control cable and is used to perform sound and light alarm according to the alarm signal.

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