A multi-element 3D ammonia leakage monitoring system and method

Abstract

The present application relates to the technical field of industrial safety monitoring, and more particularly to a multi-element 3D ammonia leakage monitoring system and method. The technical scheme is used for ammonia leakage monitoring of key areas of a coal-ammonia mixed power plant, and comprises a field monitoring unit, an edge control unit and a monitoring center. The field monitoring unit comprises an OGI technology monitoring unit, a TDLAS technology monitoring unit and an electrochemical monitoring unit. The present application realizes online monitoring of the whole process of ammonia leakage in key areas of a coal-ammonia mixed power plant through differential deployment of OGI, TDLAS and electrochemical sensors and multi-source data fusion, in combination with an edge computing and cloud platform collaborative architecture and a hierarchical alarm mechanism, improves the monitoring coverage, accuracy, reliability and intelligent level, reduces the false alarm and missed alarm rates and communication load, and enhances the accident emergency disposal capacity.

Description

Technical Field

[0001] This invention relates to the field of industrial safety monitoring technology, and in particular to a multi-element 3D ammonia leak monitoring system and method. Background Technology

[0002] Coal-fired power generation with ammonia blending has garnered widespread attention due to its ability to reduce carbon dioxide emissions from coal-fired units and fully utilize existing coal-fired power generation infrastructure. In this process, ammonia, used as fuel or auxiliary fuel, undergoes multiple stages including liquid ammonia storage, unloading, gasification, transportation, pressure regulation, and boiler injection, forming a complete ammonia supply system covering the liquid ammonia storage tank area, ammonia pipeline area, ammonia pump and valve area, and boiler area. Because ammonia is toxic, corrosive, and easily diffused, leaks in these stages can not only affect the safe and stable operation of the unit but also potentially cause personnel poisoning, equipment damage, and environmental pollution. Therefore, online monitoring of ammonia leaks in key areas of coal-fired power plants with ammonia blending is of great significance.

[0003] Existing ammonia leak monitoring systems in coal-fired ammonia-blended power plants mostly employ single monitoring technologies or operate multiple monitoring devices independently. They lack differentiated monitoring deployment strategies for different risk areas such as liquid ammonia storage tank areas, ammonia pipeline areas, ammonia pump and valve areas, and boiler areas. They also lack a multi-source monitoring data fusion decision-making mechanism, making it difficult to simultaneously meet requirements such as large-scale monitoring, leak location, quantitative concentration analysis, and continuous monitoring of key areas. Under complex operating conditions, they are prone to false alarms, missed alarms, and delayed alarm responses. Therefore, there is a need for an ammonia leak monitoring system and method that integrates OGI, TDLAS, and electrochemical sensors for use in coal-fired ammonia-blended power plants. This system aims to improve the accuracy, real-time performance, and reliability of ammonia leak monitoring in coal-fired ammonia-blended power plants by rationally deploying multiple monitoring technologies for different risk areas and combining edge computing to achieve multi-source monitoring data fusion decision-making. Summary of the Invention

[0004] The purpose of this invention is to address the problems of existing ammonia leakage monitoring systems in coal-fired power plants with ammonia blending, such as limited monitoring range, insufficient leakage location accuracy, high false alarm rate of single monitoring technology, and lack of collaborative analysis capabilities among different monitoring devices. The invention proposes a multi-element 3D ammonia leakage monitoring system and method.

[0005] In the first aspect, this application provides a multi-element 3D ammonia leakage monitoring system for monitoring ammonia leakage in key areas of a coal-fired ammonia-blended power plant, including a field monitoring unit, an edge control unit, and a monitoring center; The field monitoring unit includes an OGI technology monitoring unit, a TDLAS technology monitoring unit, and an electrochemical monitoring unit; The OGI technology monitoring unit is located on the outer side of the monitoring area and is used to acquire infrared thermal imaging information of the monitoring area, visually identify the ammonia leak plume, and determine the leak area. The TDLAS technology monitoring unit is positioned in the open optical path of the monitoring area to acquire the ammonia laser absorption signal and calculate the path-average concentration of the monitoring area. The electrochemical monitoring unit is set at key monitoring points in the monitoring area based on the leak risk assessment, and is used to continuously monitor the ammonia concentration at those points. The edge control unit is communicatively connected to the OGI technology monitoring unit, the TDLAS technology monitoring unit, and the electrochemical monitoring unit, respectively, and is used to receive data from each monitoring unit, perform time synchronization, spatial correlation, and fusion decision-making on the monitoring data, determine the ammonia leak location, leak range, and risk level, and execute alarm control. The monitoring center is communicatively connected to the edge control unit and is used for monitoring data storage, remote monitoring, and equipment management.

[0006] Optionally, the OGI technology monitoring unit includes an OGI infrared imager and an image processing module. The OGI infrared imager is used to collect infrared video of the monitoring area, and the image processing module is used to process the infrared video to obtain information on the ammonia leak area and locate the leak area.

[0007] Optionally, the TDLAS technology monitoring unit includes a laser emitter, a laser receiver, and a signal processing module. The laser emitter is used to emit a detection laser into the monitoring area, the laser receiver is used to receive the absorption signal after propagation through the monitoring area, and the signal processing module is used to process the absorption signal and perform concentration inversion to obtain the path average concentration information of the monitoring area.

[0008] Optionally, the electrochemical monitoring unit includes an electrochemical sensor array and a data processing module. The electrochemical sensor array is used to collect ammonia concentration signals in the monitoring area, and the data processing module is used to compensate and calibrate the ammonia concentration signals to obtain ammonia concentration information at each monitoring point.

[0009] Optionally, the edge control unit receives leakage area information output by the OGI technology monitoring unit, path average concentration information output by the TDLAS technology monitoring unit, and point concentration information output by the electrochemical monitoring unit, and performs time synchronization, spatial correlation, and multi-source fusion decision-making on the three types of monitoring data to comprehensively determine the ammonia leakage location, leakage range, and risk level.

[0010] Optionally, the on-site monitoring unit is deployed differently based on the leakage risk of liquid ammonia storage tanks, ammonia pipelines, ammonia pump valves and boiler areas in coal-fired ammonia-blended power plants. The OGI technology monitoring unit is used for area scanning and leakage visualization identification, the TDLAS technology monitoring unit is used for monitoring the average concentration of open optical paths, and the electrochemical monitoring unit is used for continuous concentration monitoring at key locations.

[0011] Optionally, the edge control unit includes an alarm display module, which generates alarm information based on the leak location, leak concentration, and risk level determined by the edge control unit, and implements graded alarms according to a preset strategy.

[0012] Optionally, the edge control unit communicates with the monitoring center via a wired communication network and / or a wireless communication network.

[0013] This application provides a multi-element 3D ammonia leak monitoring method, applied to a multi-element 3D ammonia leak monitoring system as described in the first aspect, comprising the following steps: S1. Based on the monitoring needs of key areas in coal-fired power plants with ammonia blending, deploy OGI technology monitoring units, TDLAS technology monitoring units, and electrochemical monitoring units; S2. The OGI technology monitoring unit collects infrared video of the monitoring area and identifies the leakage area; the TDLAS technology monitoring unit collects laser absorption signals and calculates the path average concentration; and the electrochemical monitoring unit collects ammonia concentration data at each monitoring point. S3, the edge control unit receives data output from the three monitoring units, performs time synchronization, spatial correlation and multi-source fusion decision-making on the monitoring data, identifies the ammonia leak area, determines the leak range and assesses the risk level; S4. Execute alarms based on the fusion decision results and upload monitoring data and alarm information to the monitoring center.

[0014] Compared with the prior art, this application includes at least one of the following beneficial technical effects: This invention addresses different risk areas in coal-fired ammonia-blended power plants, such as the liquid ammonia storage tank area, ammonia pipeline area, ammonia pump and valve area, and boiler area. It employs OGI technology monitoring units, TDLAS technology monitoring units, and electrochemical monitoring units for differentiated deployment, enabling full-process online monitoring of ammonia leakage in key areas of coal-fired ammonia-blended power plants, thereby improving monitoring coverage and system applicability.

[0015] This invention fully leverages the advantages of OGI technology for wide-area visualization monitoring, the advantages of TDLAS technology for quantitative detection of path-average concentration, and the advantages of electrochemical sensors for continuous online monitoring. Through the synergistic operation of multiple monitoring technologies, it improves the accuracy and reliability of ammonia leak monitoring.

[0016] This invention employs an edge control unit to perform time synchronization, spatial correlation, and fusion analysis on data collected by different monitoring units, thereby enabling leak location identification, leak range determination, and risk level assessment. This effectively reduces false alarms and missed alarms caused by single monitoring technologies and improves monitoring accuracy under complex operating conditions.

[0017] This invention establishes a hierarchical alarm mechanism that combines on-site alarms, monitoring center alarms, and remote alarms from a cloud platform. It can promptly issue alarm information based on the location and risk level of the leak, thereby improving the emergency response capability for ammonia leak accidents in coal-fired power plants.

[0018] This invention adopts a collaborative architecture of edge computing and cloud platform to realize real-time processing of monitoring data, remote monitoring, historical data management and equipment operation status analysis, reduce system communication load and improve the real-time performance, stability and intelligence level of the monitoring system.

[0019] In summary, this invention achieves full-process online monitoring of ammonia leakage in key areas of coal-fired ammonia-blended power plants by differentiating the deployment of OGI, TDLAS, and electrochemical sensors, fusing multi-source data, and combining edge computing and cloud platform collaborative architecture with a hierarchical alarm mechanism. This improves the monitoring coverage, accuracy, reliability, and intelligence level, reduces false alarm and missed alarm rates and communication load, and enhances emergency response capabilities. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the ammonia leak monitoring system of the present invention.

[0021] Figure 2 This is a schematic diagram of the deployment of the ammonia leakage monitoring unit in a coal-fired power plant according to the present invention.

[0022] Figure 3 This is a flowchart of the data processing for each monitoring unit in this invention.

[0023] Figure 4 This is a flowchart of the ammonia leakage monitoring method of the present invention.

[0024] Attached reference numerals: 1. Liquid ammonia storage tank; 2. Ammonia pipeline; 3. Ammonia gas pump valve; 4. Boiler; 5. On-site monitoring unit; 6. OGI technology monitoring unit; 6-1. OGI infrared thermal imager one; 6-2. OGI infrared thermal imager two; 6-3. OGI infrared thermal imager three; 6-4. OGI infrared thermal imager four; 7. TDLAS technology monitoring unit; 7-1. TDLAS gas detector one; 7-2. TDLAS gas detector two; 7-3. TDLAS gas detector three; 7-4. TDLAS gas detector four; 8. Electrochemical monitoring unit; 8-1. Electrochemical sensor one; 8-2. Electrochemical sensor two; 8- 3. Electrochemical Sensor Three; 8-4. Electrochemical Sensor Four; 9. Edge Control Unit; 10. Edge CPU; 11. Alarm Display Module; 12. Monitoring Center; 13. Server; 14. Cloud Monitoring Platform; 15. Atomizing Device; 16-1. Pressure Reducing Valve One; 16-2. Pressure Reducing Valve Two; 16-3. Pressure Reducing Valve Three; 17-1. Flange One; 17-2. Flange Two; 18. Ammonia Pump; 19. Tail Gas Collection Device; 20. Tail Gas Treatment Device; 21. Image Processing Module; 22. Laser Emitter; 23. Laser Receiver; 24. Signal Processing Module; 25. Electrochemical Sensor Array; 26. Data Processing Module; 27. Communication Module. Detailed Implementation

[0025] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, unless otherwise specified, the following embodiments and features described therein can be combined with each other.

[0026] Example 1, such as Figure 1 As shown, this embodiment provides an ammonia leak monitoring system that integrates OGI, TDLAS, and electrochemical sensors for use in coal-fired ammonia-blended power plants. The system includes a field monitoring unit 5, an edge control unit 9, and a monitoring center 12. OGI stands for Optical Gas Imaging, and TDLAS stands for Tunable Diode Laser Absorption Spectroscopy.

[0027] The on-site monitoring unit 5 includes an OGI technology monitoring unit 6, a TDLAS technology monitoring unit 7, and an electrochemical monitoring unit 8. The edge control unit 9 includes an edge CPU 10 and an alarm display module 11. The monitoring center 12 includes a server 13 and a cloud monitoring platform 14.

[0028] In this embodiment, the field monitoring unit 5 is communicatively connected to the edge CPU 10, and the edge CPU 10 is communicatively connected to the monitoring center 12. The edge CPU 10 is used to receive data collected by each monitoring unit and to complete data preprocessing, time synchronization, spatial correlation, multi-source fusion decision-making, and alarm control; the monitoring center 12 is used for monitoring data storage, equipment operation status monitoring, historical data query, remote monitoring, and alarm information management.

[0029] like Figure 2 As shown, this invention deploys on-site monitoring units differently based on the leakage risks in different areas of a coal-fired ammonia-blended power plant.

[0030] The liquid ammonia storage tank 1 area is equipped with an atomizing device 15 and a pressure reducing valve 16-1. An OGI technology monitoring unit 6, a TDLAS technology monitoring unit 7 and an electrochemical monitoring unit 8 are installed at the atomizing device 15 and the pressure reducing valve 16-1 to monitor the liquid ammonia storage process in real time.

[0031] In this embodiment, OGI technology monitoring units 6 and TDLAS technology monitoring units 7 are arranged in the ammonia pipeline 2 area, and electrochemical monitoring units 8 are set at pipeline interfaces, connection points and other locations prone to leakage to achieve continuous monitoring of the transportation process.

[0032] The ammonia pump valve 3 area is equipped with pressure reducing valve 2 16-2, pressure reducing valve 3 16-3, flange 1 17-1, flange 2 17-2 and ammonia pump 18. OGI technology monitoring unit 6, TDLAS technology monitoring unit 7 and electrochemical monitoring unit 8 are deployed at pressure reducing valve 2 16-2, pressure reducing valve 3 16-3, flange 1 17-1, flange 2 17-2 and ammonia pump 18 to focus on monitoring high-risk areas.

[0033] Furthermore, an OGI technology monitoring unit 6 and an electrochemical monitoring unit 8 are deployed in boiler area 4 to conduct real-time online monitoring of the boiler ammonia injection system and surrounding areas. In addition, boiler area 4 is also equipped with a tail gas collection device 19 and a tail gas treatment device 20. The tail gas collection device 19 is connected to boiler 4, and the tail gas treatment device 20 is connected to the tail gas collection device 19 to collect and treat ammonia combustion tail gas, while simultaneously monitoring the tail gas online.

[0034] Through the above-mentioned differentiated deployment, online monitoring of ammonia leakage in key areas throughout the entire process of liquid ammonia storage, transportation, pressure regulation, and boiler ammonia injection is achieved.

[0035] The OGI technology monitoring unit 6 is located on the periphery of the monitoring area to acquire infrared thermal imaging information of the monitoring area, visually identify the ammonia leak plume, and determine the leak area. The TDLAS technology monitoring unit 7 is located at an open optical path position in the monitoring area to acquire ammonia laser absorption signals and calculate the path-average concentration of the monitoring area. The electrochemical monitoring unit 8 is located at key monitoring points pre-determined based on the leak risk assessment within the monitoring area to continuously monitor the ammonia concentration at those points.

[0036] Specifically, the OGI technology monitoring unit 6 is used for area scanning and leakage visualization identification, the TDLAS technology monitoring unit 7 is used for average concentration monitoring of open optical paths, and the electrochemical monitoring unit 8 is used for continuous concentration monitoring of key locations. The three monitoring technologies work together to achieve online monitoring of ammonia leakage in key areas.

[0037] like Figure 3 As shown, this invention processes the data collected by the OGI technology monitoring unit 6, the TDLAS technology monitoring unit 7, and the electrochemical monitoring unit 8. The OGI technology monitoring unit 6 includes an OGI infrared thermal imager 6-1, an OGI infrared thermal imager 6-2, an OGI infrared thermal imager 6-3, an OGI infrared thermal imager 6-4, an image processing module 21, and a communication module 27. The image processing module 21 is communicatively connected to each OGI infrared thermal imager and the communication module 27. Furthermore, the OGI infrared thermal imagers 6-1, 6-2, 6-3, and 6-4 are respectively positioned at multiple different locations on the periphery of the monitoring area. Each OGI infrared thermal imager continuously collects infrared video of the monitoring area and transmits the collected infrared video to the image processing module 21.

[0038] After receiving the infrared videos transmitted by each OGI infrared thermal imager, the image processing module 21 sequentially performs super-resolution reconstruction, motion deblurring, background suppression, and gas cloud identification processing on the infrared videos to obtain information about the ammonia leak area and complete the leak area location. Finally, the image processing module 21 sends the location results to the edge CPU 10 through the communication module 27.

[0039] It should be noted that the TDLAS technology monitoring unit 7 includes TDLAS gas detector 1 7-1, TDLAS gas detector 2 7-2, TDLAS gas detector 3 7-3, TDLAS gas detector 4 7-4, and a communication module 27. Each TDLAS gas detector is equipped with a laser emitter 22, a laser receiver 23, and a signal processing module 24. The signal processing module 24 is communicatively connected to the laser emitter 22, the laser receiver 23, and the communication module 27. The laser emitter 22 of each TDLAS gas detector emits a detection laser into the monitoring area, and the laser receiver 23 receives the absorbed signal after propagation through the monitoring area and transmits the absorbed signal to the signal processing module 24.

[0040] After receiving the absorption signal transmitted by the laser receiver 23, the signal processing module 24 sequentially performs baseline correction, phase-locked amplification, harmonic extraction, and filtering denoising on the absorption signal. Based on the processed absorption spectrum, it performs concentration inversion to obtain the path-average concentration information of the monitoring area. Finally, the signal processing module 24 outputs the path-average concentration information to the edge CPU 10 through the communication module 27.

[0041] In this embodiment, the electrochemical monitoring unit 8 includes electrochemical sensor 1 8-1, electrochemical sensor 2 8-2, electrochemical sensor 3 8-3, electrochemical sensor 4 8-4, and a communication module 27. Each electrochemical sensor internally contains an electrochemical sensor array 25 and a data processing module 26, which are communicatively connected to both the electrochemical sensor array 25 and the communication module 27. The electrochemical sensor array 25 of each electrochemical sensor collects the ammonia concentration signal of the monitoring area and transmits the ammonia concentration signal to the data processing module 26.

[0042] After receiving the ammonia concentration signal transmitted by the electrochemical sensor array 25, the data processing module 26 sequentially performs temperature compensation, humidity compensation, cross-sensitivity correction, background concentration extraction, and dynamic calibration to obtain the ammonia concentration information at each monitoring point. Finally, the data processing module 26 transmits the concentration results to the edge CPU 10 via the communication module 27.

[0043] The edge CPU 10 is connected to the communication module 27 of the OGI technology monitoring unit 6, the communication module 27 of the TDLAS technology monitoring unit 7, and the communication module 27 of the electrochemical monitoring unit 8, respectively.

[0044] The edge CPU 10 receives leakage area location information output by the OGI technology monitoring unit 6, path average concentration information output by the TDLAS technology monitoring unit 7, and point concentration information output by the electrochemical monitoring unit 8 through each communication module 27.

[0045] like Figure 4As shown, the edge CPU 10 performs time synchronization, spatial correlation, and multi-source fusion decision-making on the three types of monitoring data to comprehensively determine the location, extent, and risk level of the ammonia leak, and generates a fusion decision result. Specifically, the edge CPU 10 combines the leak area information obtained by the OGI technology monitoring unit 6, the path average concentration information obtained by the TDLAS technology monitoring unit 7, and the point concentration information obtained by the electrochemical monitoring unit 8 to determine whether an ammonia leak has occurred.

[0046] When the fusion decision result is normal, the system continues to perform real-time online monitoring; when the fusion decision result is abnormal, the edge CPU10 further determines the leakage area and identifies the leakage area as belonging to the liquid ammonia storage tank 1, ammonia pipeline 2, ammonia pump valve 3, or boiler 4.

[0047] In this embodiment, the edge control unit 9 further includes an alarm display module 11, which is communicatively connected to the edge CPU 10. The alarm display module 11 receives the fusion decision results output by the edge CPU 10, generates alarm information based on the fusion decision results combined with the leak location, leak concentration, and risk level, and implements graded alarms and linkage control according to a preset alarm strategy. Specifically, the alarm display module 11 generates alarm information based on the leak location, leak concentration, and risk level determined by the edge CPU 10, and controls the alarm display module 11 to implement on-site graded alarms and emergency linkage.

[0048] In this embodiment, the edge control unit 9 communicates with the monitoring center 12 via an industrial Ethernet, fiber optic network, or wireless communication network. The monitoring center 12 includes a server 13 and a cloud monitoring platform 14, both of which are communicatively connected to the edge control unit 9. The edge control unit 9 uses the aforementioned communication network to upload monitoring data to the server 13 and cloud monitoring platform 14 in real time, enabling equipment operation status monitoring, historical data storage, remote monitoring, and equipment management. Simultaneously, the edge control unit 9 uploads monitoring data and alarm information to the server 13 and cloud monitoring platform 14 of the monitoring center 12, enabling monitoring data storage, remote monitoring, historical data querying, and equipment operation status management.

[0049] Example 2, as Figure 1-4 As shown, this embodiment provides an ammonia leakage monitoring method based on the above monitoring system, including the following steps: Step 1: Based on the leakage risks in the areas of liquid ammonia storage tank 1, ammonia pipeline 2, ammonia gas pump valve 3, and boiler 4 of the coal-fired ammonia blending power plant, differentiate the deployment of OGI technology monitoring unit 6, TDLAS technology monitoring unit 7, and electrochemical monitoring unit 8, and establish a field communication network.

[0050] Specifically, OGI technology monitoring unit 6, TDLAS technology monitoring unit 7, and electrochemical monitoring unit 8 are deployed at the atomizing device 15 and pressure reducing valve 16-1 in the liquid ammonia storage tank area; OGI technology monitoring unit 6 and TDLAS technology monitoring unit 7 are deployed in the ammonia transmission pipeline area, and electrochemical monitoring unit 8 is installed at the pipeline interface and connection points; OGI technology monitoring unit 6, TDLAS technology monitoring unit 7, and electrochemical monitoring unit 8 are deployed at pressure reducing valve 2 16-2, pressure reducing valve 3 16-3, flange 1 17-1, flange 2 17-2, and ammonia pump 18 in the ammonia pump valve area; and OGI technology monitoring unit 6 and electrochemical monitoring unit 8 are deployed in the boiler area.

[0051] Step 2: The OGI technology monitoring unit 6 collects infrared video data of the monitoring area, the TDLAS technology monitoring unit 7 collects laser absorption signals, and the electrochemical monitoring unit 8 collects ammonia concentration data at the monitoring point, and transmits them synchronously to the edge CPU 10.

[0052] Among them, the OGI technology monitoring unit 6 uses OGI infrared thermal imager 1 6-1, OGI infrared thermal imager 2 6-2, OGI infrared thermal imager 3 6-3, and OGI infrared thermal imager 4 6-4 to collect infrared video of the monitoring area, and the image processing module 21 identifies the leakage area; the TDLAS technology monitoring unit 7 uses laser emitter 22 to emit detection laser and laser receiver 23 to receive absorption signal, and the signal processing module 24 calculates the path average concentration; the electrochemical monitoring unit 8 uses electrochemical sensor array 25 to collect ammonia concentration signals at each monitoring point, and the data processing module 26 obtains ammonia concentration data at each monitoring point.

[0053] Step 3: The edge CPU10 receives data output from the three monitoring units, performs time synchronization, spatial correlation, and multi-source fusion decision-making on the monitoring data, identifies the ammonia leak area, determines the leak range, and assesses the risk level.

[0054] Specifically, the edge CPU10 performs time synchronization and spatial correlation of the three types of monitoring data, establishes a unified data analysis model, and combines the leakage area information obtained by the OGI technology monitoring unit 6, the path average concentration information obtained by the TDLAS technology monitoring unit 7, and the point concentration information obtained by the electrochemical monitoring unit 8 to perform multi-source fusion decision-making to determine whether an ammonia leak has occurred.

[0055] When the fusion decision result is normal, the system continues to perform real-time online monitoring; when the fusion decision result is abnormal, the edge CPU10 further determines the leakage area and identifies the leakage area as belonging to the liquid ammonia storage tank 1, ammonia pipeline 2, ammonia pump valve 3, or boiler 4.

[0056] Step 4: Generate alarm information based on the fusion decision results, control the alarm display module 11 to execute hierarchical alarms, and upload the monitoring data and alarm information to the monitoring center 12.

[0057] Specifically, the alarm display module 11 generates alarm information based on the leak location, leak concentration and risk level determined by the edge CPU 10, and implements on-site graded alarm and emergency linkage. At the same time, the edge control unit 9 uploads the monitoring data and alarm information to the server 13 and cloud monitoring platform 14 of the monitoring center 12 to realize monitoring data storage, remote monitoring, historical data query and equipment operation status management.

[0058] Application Example 1 As a specific application example based on the above system, in the liquid ammonia storage tank area of ​​a coal-fired ammonia-blended power plant, the liquid ammonia storage tank 1 area is equipped with an OGI technology monitoring unit 6, a TDLAS technology monitoring unit 7, and an electrochemical monitoring unit 8 at the atomizing device 15 and the pressure reducing valve 16-1.

[0059] Among them, the OGI infrared thermal imager-6-1 is set on the outer side of the liquid ammonia storage tank area to perform a panoramic scan of the storage tank area; the TDLAS gas detector-7-1 is set at the open optical path position that spans the storage tank area to perform integrated measurement of ammonia concentration in the area covered by the optical path; and the electrochemical sensor-8-1 is set at key points such as storage tank valves and flange connections to continuously monitor the ammonia concentration at the above points.

[0060] The image processing module 21 of the OGI technology monitoring unit 6 performs super-resolution reconstruction, motion deblurring, background suppression, and cloud identification processing on the infrared video acquired by the OGI infrared thermal imager 6-1, obtains the location information of the leak area, and sends it to the edge CPU 10 through the communication module 27.

[0061] The laser emitter 22 of the TDLAS technology monitoring unit 7 emits detection lasers to the monitoring area, the laser receiver 23 receives the absorbed signals, and the signal processing module 24 performs baseline correction, phase-locked amplification, harmonic extraction and filtering noise reduction, and performs concentration inversion to obtain path average concentration information, which is then sent to the edge CPU 10 through the communication module 27.

[0062] The electrochemical sensor array 25 of the electrochemical monitoring unit 8 collects ammonia concentration signals. After the data processing module 26 performs temperature compensation, humidity compensation, cross-sensitivity correction, background concentration extraction and dynamic calibration, it obtains the concentration information of each monitoring point and sends it to the edge CPU 10 through the communication module 27.

[0063] The data collected by the three monitoring units are transmitted to the edge CPU 10 in real time through the field communication network. After the edge CPU 10 completes the data fusion, it uploads the fusion result to the server 13 of the monitoring center 12 and the cloud monitoring platform 14.

[0064] Application Example 2 As a specific application example based on the above system, in the ammonia pump valve area, OGI technology monitoring unit 6, TDLAS technology monitoring unit 7 and electrochemical monitoring unit 8 are deployed simultaneously at key locations such as pressure reducing valve 2 16-2, pressure reducing valve 3 16-3, flange 1 17-1, flange 2 17-2 and ammonia pump 18.

[0065] Among them, OGI infrared thermal imager 6-2 and OGI infrared thermal imager 6-3 are respectively set at different positions on the outer side of the ammonia pump valve area to perform multi-angle scanning of the pump valve area; TDLAS gas detector 7-2 is set at the open optical path position that crosses the key pipe section of the pump valve area; electrochemical sensor 8-2 and electrochemical sensor 8-3 are respectively set at the sealing points such as pressure reducing valve 16-2 and flange 17-1.

[0066] Due to the high density of equipment and the high risk of leakage in this area, the OGI technology monitoring unit 6 performs an overall scan of the pump and valve area, the TDLAS technology monitoring unit 7 monitors the path concentration of key pipe sections, and the electrochemical monitoring unit 8 performs fixed-point continuous monitoring of each sealing point, forming a three-dimensional monitoring network that combines points, lines, and surfaces.

[0067] When an anomaly occurs in a certain monitoring data, the edge CPU10 performs cross-validation by integrating real-time data from the other two monitoring units to determine whether a leak exists and to identify the location and risk level of the leak, effectively reducing the false alarm rate.

[0068] The above specific embodiments are only a few optional embodiments of the present invention. Based on the technical solution of the present invention and the relevant teachings of the above embodiments, those skilled in the art can make various alternative improvements and combinations to the above specific embodiments.

Claims

1. A multi-element 3D ammonia leak monitoring system, characterized in that, It is used for monitoring ammonia leakage in key areas of coal-fired ammonia-blended power plants, including a field monitoring unit (5), an edge control unit (9), and a monitoring center (12). The field monitoring unit (5) includes an OGI technology monitoring unit (6), a TDLAS technology monitoring unit (7), and an electrochemical monitoring unit (8). The OGI technology monitoring unit (6) is located on the outer side of the monitoring area and is used to acquire infrared thermal imaging information of the monitoring area, visualize and identify the ammonia leak plume, and determine the leak area. The TDLAS technology monitoring unit (7) is set at the open optical path position of the monitoring area to acquire the ammonia laser absorption signal and calculate the path average concentration of the monitoring area; The electrochemical monitoring unit (8) is set at a key monitoring point in the monitoring area that is predetermined according to the leakage risk assessment, and is used to continuously monitor the ammonia concentration at that point; The edge control unit (9) is connected to the OGI technology monitoring unit (6), the TDLAS technology monitoring unit (7) and the electrochemical monitoring unit (8) respectively. It is used to receive data from each monitoring unit, perform time synchronization, spatial correlation and fusion decision on the monitoring data, determine the ammonia leak location, leak range and risk level, and execute alarm control. The monitoring center (12) is communicatively connected to the edge control unit (9) for monitoring data storage, remote monitoring and equipment management.

2. The multi-element 3D ammonia leak monitoring system according to claim 1, characterized in that, The OGI technology monitoring unit (6) includes an OGI infrared imager (6-1) and an image processing module (21). The OGI infrared imager (6-1) is used to collect infrared video of the monitoring area, and the image processing module (21) is used to process the infrared video to obtain information on the ammonia leak area and complete the location of the leak area.

3. The multi-element 3D ammonia leak monitoring system according to claim 1, characterized in that, The TDLAS technology monitoring unit (7) includes a laser emitter (22), a laser receiver (23), and a signal processing module (24). The laser emitter (22) is used to emit detection lasers into the monitoring area. The laser receiver (23) is used to receive the absorption signal after it propagates through the monitoring area. The signal processing module (24) is used to process the absorption signal and perform concentration inversion to obtain the path average concentration information of the monitoring area.

4. The multi-element 3D ammonia leak monitoring system according to claim 1, characterized in that, The electrochemical monitoring unit (8) includes an electrochemical sensor array (25) and a data processing module (26). The electrochemical sensor array (25) is used to collect ammonia concentration signals in the monitoring area, and the data processing module (26) is used to compensate and calibrate the ammonia concentration signals to obtain ammonia concentration information at each monitoring point.

5. The multi-element 3D ammonia leak monitoring system according to claim 1, characterized in that, The edge control unit (9) receives the leakage area information output by the OGI technology monitoring unit (6), the path average concentration information output by the TDLAS technology monitoring unit (7), and the point concentration information output by the electrochemical monitoring unit (8). It performs time synchronization, spatial correlation, and multi-source fusion decision-making on the three types of monitoring data to comprehensively determine the ammonia leakage location, leakage range, and risk level.

6. The multi-element 3D ammonia leak monitoring system according to claim 1, characterized in that, The on-site monitoring unit (5) is deployed differently according to the leakage risk of the liquid ammonia storage tank (1), ammonia pipeline (2), ammonia pump valve (3) and boiler (4) areas of the coal-fired ammonia-blended power plant. The OGI technology monitoring unit (6) is used for area scanning and leakage visualization identification. The TDLAS technology monitoring unit (7) is used for monitoring the average concentration of open optical paths. The electrochemical monitoring unit (8) is used for continuous concentration monitoring of key locations.

7. The multi-element 3D ammonia leak monitoring system according to claim 1, characterized in that, The edge control unit (9) includes an alarm display module (11). The alarm display module (11) generates alarm information based on the leak location, leak concentration and risk level determined by the edge control unit (9), and implements graded alarms according to a preset strategy.

8. The multi-element 3D ammonia leak monitoring system according to claim 1, characterized in that, The edge control unit (9) is connected to the monitoring center (12) via a wired communication network and / or a wireless communication network.

9. A multi-element 3D ammonia leak monitoring method, applied to the multi-element 3D ammonia leak monitoring system according to any one of claims 1-8, characterized in that, Includes the following steps: S1. Based on the monitoring needs of key areas of coal-fired ammonia-blended power plants, deploy OGI technology monitoring unit (6), TDLAS technology monitoring unit (7) and electrochemical monitoring unit (8). S2. The OGI technology monitoring unit (6) collects infrared video of the monitoring area and identifies the leakage area, the TDLAS technology monitoring unit (7) collects laser absorption signal and calculates the path average concentration, and the electrochemical monitoring unit (8) collects ammonia concentration data at each monitoring point. S3, the edge control unit (9) receives data output from the three monitoring units, performs time synchronization, spatial correlation and multi-source fusion decision-making on the monitoring data, identifies the ammonia leak area, determines the leak range and assesses the risk level; S4. Execute alarms based on the fusion decision results and upload monitoring data and alarm information to the monitoring center (12).

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