Ammonia leakage fiber grating detection system and method

Abstract

The invention relates to an ammonia leakage fiber bragg grating detection system and method, and belongs to the technical field of fiber detection, the ammonia leakage fiber bragg grating detection system comprises a transmission pipeline, a fiber bragg grating sensor and an edge computing device, the transmission pipeline is used for conveying ammonia fuel, and the transmission pipeline comprises an inner layer pipeline and an outer layer pipeline; the fiber bragg grating sensor is used for collecting wavelength data on an inner-layer pipeline, and the fiber bragg grating sensor is arranged on the outer surface of the inner-layer pipeline in a surrounding mode; and the edge calculation equipment is used for calculating the wavelength data based on a preset positioning algorithm and detecting ammonia gas leakage information. The fiber bragg grating sensors are arranged on the outer surface of the inner-layer pipeline in a surrounding mode, the problem that a traditional electrochemical sensor has a leakage blind area in the inner-layer pipeline is effectively solved, wavelength data of the fiber bragg grating are analyzed through edge computing equipment, and the accuracy of ammonia gas leakage information is improved.

Description

Technical Field

[0001] The present invention relates to the field of optical fiber detection technology, and in particular to an ammonia leakage optical fiber grating detection system and method. Background Art

[0002] With the strict global requirements for ship emissions, ammonia, as a clean fuel with low carbon and zero carbon emissions, is increasingly used in ship power systems. However, ammonia is highly toxic and volatile, so leak detection in the marine ammonia fuel supply system has become one of the key technologies to ensure ship safety. At present, ammonia fuel leak detection mainly relies on electrochemical sensors, which are usually installed in the outer tube of the double-walled tube and use the diffusion of ammonia in the pipeline to detect leaks. When the inner tube breaks and ammonia leaks, the gas gradually diffuses to the outer tube, and a signal is generated through an electrochemical reaction, and the sensor can detect the change in ammonia concentration. However, this electrochemical detection technology has many problems: first, the response speed is slow, because ammonia takes a certain amount of time to diffuse into the outer tube before it can be detected, especially in the ship environment, the diffusion of ammonia is affected by factors such as air circulation and temperature, resulting in the failure of timely response to leaks; second, the sensitivity of electrochemical sensors is limited, especially for trace leaks, the sensor may not be able to detect significant signals. In addition, the electrochemical sensor can only be installed on the outer tube of the double-walled tube. If the leak occurs in the inner tube and fails to spread to the outer tube, the sensor will not be able to detect the leak, and there will be a blind spot in this case. Furthermore, since the ammonia fuel supply system is usually equipped with a regular purge system, the system will regularly discharge and purge the gas between the double-walled tubes, which may cause interference to the electrochemical sensor and increase the risk of false alarms or missed alarms.

[0003] In addition to electrochemical sensors, infrared spectroscopy and acoustic detection are also commonly used for gas leak monitoring in other industrial fields. Infrared spectroscopy determines gas leaks by monitoring the gas's absorption of light of a specific wavelength. However, due to the weak infrared absorption characteristics of ammonia, the infrared detection sensitivity is insufficient, and the equipment is large and expensive, making it unsuitable for marine ammonia fuel systems. Acoustic detection technology locates the source of the leak by analyzing the sound wave signal generated by the leaking gas. Although this technology is effective in high-pressure gas pipelines, in marine low-pressure ammonia fuel supply systems, the sound wave signal is weak and the background noise interference is large, resulting in limited application effects.

[0004] Therefore, how to design an ammonia leak detection system and method that is suitable for marine ammonia fuel systems and improves detection efficiency is an urgent problem to be solved. Summary of the invention

[0005] In view of this, it is necessary to provide an ammonia leakage fiber Bragg grating detection system and method, which are applicable to a marine ammonia fuel system and improve the detection efficiency.

[0006] In order to solve the above problems, the present invention provides an ammonia leakage fiber Bragg grating detection system, comprising: a transmission pipeline, a fiber Bragg grating sensor and an edge computing device; The transmission pipeline is used to transport ammonia fuel, wherein the transmission pipeline includes an inner layer pipeline and an outer layer pipeline; The fiber grating sensor is used to collect wavelength data on the inner layer pipe, wherein the fiber grating sensor is arranged on the outer surface of the inner layer pipe in a surrounding manner; The edge computing device is used to calculate the wavelength data based on a preset positioning algorithm to detect ammonia leakage information.

[0007] In a possible implementation, the fiber grating sensor includes a plurality of measuring points; The fiber grating sensor is specifically used to collect wavelength data of each measuring point on the inner layer pipeline.

[0008] In a possible implementation, the ammonia leakage information includes whether ammonia has leaked, and the edge computing device is specifically used to: De-noising and filtering the wavelength data to obtain a wavelength offset of the de-noised wavelength data; If the wavelength deviation of any measuring point is greater than a preset wavelength deviation threshold, ammonia leakage is determined.

[0009] In a possible implementation, the ammonia leakage information includes an ammonia leakage location, and the edge computing device is specifically used to: Determine a plurality of first measurement points at which the wavelength shift is greater than a preset wavelength shift threshold; Interpolating the wavelength offsets of the plurality of first measuring points based on a multi-point data fusion method to determine the ammonia leakage location; Alternatively, the plurality of first measuring points are fused and trained based on a preset neural network model to determine the ammonia leakage location.

[0010] In a possible implementation, the edge computing device is further used to: The preset wavelength shift threshold is adjusted based on the real-time temperature or the real-time pressure.

[0011] In a possible implementation, the ammonia leakage fiber Bragg grating detection system further includes a human-machine interface, and the human-machine interface is connected to the edge computing device via RS-485 communication; The human-machine interface is used to display the wavelength data collected by the fiber grating sensor in real time; or setting an alarm threshold based on the ammonia leakage information; Or store the wavelength data and alarm information collected by the fiber grating sensor.

[0012] In a possible implementation, the human-machine interface further includes a relay and an audible and visual alarm, the relay is connected to the human-machine interface via RS-485 communication, and the audible and visual alarm is connected to the relay via a positive and negative power supply interface; The sound and light alarm is used to make a sound and light alarm based on the alarm threshold.

[0013] In a possible implementation, the ammonia leakage fiber Bragg grating detection system further includes a fiber Bragg grating demodulator, and the fiber Bragg grating demodulator is connected to the edge computing device via MODBUS TCP communication; The fiber grating demodulator is used to demodulate the reflected wave signal of the wavelength data into an electrical signal.

[0014] In a possible implementation, the ammonia leakage fiber Bragg grating detection system further includes a cloud platform, and the cloud platform is connected to the edge computing device via MQTT communication; The cloud platform is used to store the wavelength data collected by the fiber grating sensor and the ammonia leakage information detected by the edge computing device.

[0015] In a second aspect, the present invention further provides an ammonia leakage fiber Bragg grating detection method, which is applied to the ammonia leakage fiber Bragg grating detection system, comprising: The wavelength data on the inner layer of the transmission pipeline is collected based on a fiber grating sensor, wherein the fiber grating sensor is arranged on the outer surface of the inner layer of the pipeline in a surrounding manner; The wavelength data is calculated using a preset positioning algorithm based on the edge computing device to detect ammonia leakage information.

[0016] The beneficial effects of the present invention are: The fiber grating detection system for ammonia leakage proposed by the present invention monitors the stress and temperature changes of the pipeline of the ammonia fuel supply system in real time by surrounding the fiber grating sensor along the inner layer of the transmission pipeline. Once a leak occurs, the sensor can respond quickly and provide highly sensitive monitoring data. Since it can be surrounded along the pipeline, it can effectively overcome the problem of blind spots of leakage in the inner layer of the traditional electrochemical sensor. The anti-electromagnetic interference and anti-corrosion characteristics of the fiber grating sensor make it suitable for complex ship environments. Through the real-time monitoring and alarm system of the ship's ammonia fuel supply system, the safety and reliability of the ammonia fuel supply system are improved. By analyzing the wavelength data of the fiber grating through edge computing equipment and performing algorithm analysis, it can not only detect the existence of ammonia leakage in a timely manner, but also accurately identify the specific location of the leak. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A method flow chart of an embodiment of an ammonia leakage fiber Bragg grating detection system provided by the present invention; Figure 2 This is a method flow chart of an embodiment of a method for detecting ammonia leakage using a fiber Bragg grating (FBG) according to the present invention. DETAILED DESCRIPTION

[0019] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not used to limit the scope of the present invention.

[0020] In the description of the embodiments of the present invention, unless otherwise specified, “plurality” means two or more than two.

[0021] The descriptions of "first", "second", etc. involved in the embodiments of the present invention are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the technical features defined as "first" and "second" may explicitly or implicitly include at least one of the features.

[0022] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0023] A specific embodiment of the present invention, as Figure 1 As shown, Figure 1 This is a structural schematic diagram of an embodiment of an ammonia leakage fiber Bragg grating detection system provided by the present invention. The ammonia leakage fiber Bragg grating detection system 100 includes: a transmission pipeline 101, a fiber Bragg grating sensor 102 and an edge computing device 103; The transmission pipeline 101 is used to transport ammonia fuel, wherein the transmission pipeline 101 includes an inner layer pipeline and an outer layer pipeline; The fiber grating sensor 102 is used to collect wavelength data on the inner pipe, wherein the fiber grating sensor 102 is arranged on the outer surface of the inner pipe in a surrounding manner; The edge computing device 103 is used to calculate the wavelength data based on a preset positioning algorithm to detect ammonia leakage information.

[0024] First of all, it should be noted that the ammonia fuel supply pipeline of the marine ammonia fuel engine adopts a double-layer pipeline to transport liquid ammonia. The traditional electrochemical sensor is installed on the outer surface of the outer pipeline. When a leak occurs, the inner pipeline of the double-layer pipeline is first broken. At this time, the electrochemical sensor cannot detect the ammonia leaked when the inner pipeline is broken. When the outer pipeline of the double-layer pipeline is broken and causes a leak, the electrochemical sensor needs to wait for the leaked ammonia to diffuse to the vicinity of the electrochemical sensor before it can detect the ammonia concentration, which has the problems of low sensitivity and slow response. The fiber grating detection system proposed in the present invention adopts a double-layer pipeline design, the inner pipeline is used to transport ammonia fuel, and the outer pipeline is used as a protective layer to prevent ammonia leakage. The fiber grating sensor 102 is arranged on the outer surface of the inner pipeline by a clamp around the inner and outer pipelines. The fiber grating sensor 102 has high sensitivity and rapid response capability, and can detect tiny ammonia leaks in time. In addition, the fiber grating sensor 102 is not subject to electromagnetic interference, has strong corrosion resistance, can work stably in harsh environments, adapts to temperature fluctuations, and fully covers the pipeline for real-time monitoring, eliminating the blind spots in traditional technologies and providing a more reliable detection solution.

[0025] In the process of detecting ammonia leakage, the edge computing device 103 first pre-processes the wavelength data to extract important feature data, and then brings the feature data into a preset positioning algorithm for calculation to detect ammonia leakage information.

[0026] The ammonia leakage fiber grating detection system 100 proposed by the present invention monitors the stress and temperature changes of the pipeline of the ammonia fuel supply system in real time by surrounding the fiber grating sensor 102 along the inner layer of the transmission pipeline 101. Once a leak occurs, the sensor can respond quickly and provide highly sensitive monitoring data. Since it can be surrounded along the pipeline, it can effectively overcome the problem of blind spots of leakage in the inner layer of the traditional electrochemical sensor. The anti-electromagnetic interference and anti-corrosion properties of the fiber grating sensor 102 make it suitable for complex ship environments. Through the real-time monitoring and alarm system of the ship's ammonia fuel supply system, the safety and reliability of the ammonia fuel supply system are improved. The wavelength data of the fiber grating is analyzed by the edge computing device 103, and the algorithm is analyzed, which can not only detect the existence of ammonia leakage in time, but also accurately identify the specific location of the leakage.

[0027] In one embodiment of the present invention, the fiber Bragg grating sensor 102 includes a plurality of measuring points; The fiber grating sensor 102 is specifically used to collect wavelength data of each measuring point on the inner layer pipeline.

[0028] It can be understood that when the fiber grating sensor 102 is arranged around the pipe on the outer surface of the inner pipe using a clamp between the inner and outer pipes, multiple fiber grating sensors 102 with 128 measuring points are arranged on different pipes. Through the fiber grating sensors 102 with multiple measuring points, the sensor can monitor the stress and temperature changes at various positions of the pipe in real time, which is convenient for comprehensive collection of wavelength data.

[0029] In one embodiment of the present invention, the ammonia leakage fiber Bragg grating detection system 100 further includes a fiber Bragg grating demodulator 104, and the fiber Bragg grating demodulator 104 is connected to the edge computing device 103 via MODBUS TCP communication; The fiber Bragg grating demodulator 104 is used to demodulate the reflected wave signal of the wavelength data into an electrical signal.

[0030] It can be understood that after the fiber grating sensor 102 is deployed, it is connected to the 16-channel fiber grating demodulator 104. The fiber grating demodulator 104 demodulates the Bragg reflection wave signal of each measuring point on each fiber grating sensor 102 into an electrical signal in the demodulator, and then connects to the Ethernet port on the edge computing device 103 in the monitoring room through the FC / APC data interface of the fiber grating demodulator 104 using the MODBUS TCP communication method using an Ethernet cable, and transmits the data to the edge computing device 103, so that the edge computing device 103 can process it.

[0031] In one embodiment of the present invention, the ammonia leakage information includes whether the ammonia is leaked, and the edge computing device 103 is specifically used to: De-noising and filtering the wavelength data to obtain the wavelength offset of the de-noised wavelength data; If the wavelength deviation of any measuring point is greater than a preset wavelength deviation threshold, ammonia leakage is determined.

[0032] First of all, it should be explained that after the edge computing device 103 receives the wavelength data sent by the fiber grating demodulator 104, the wavelength signal data of each measuring point of each fiber grating sensor 102 received is displayed in a list or waveform diagram on the edge computing device 103, or the original wavelength data is calibrated with the formula of the corresponding physical quantity. After calibration, the displayed data and units are real-time monitoring data and units of the physical quantity, which is convenient for subsequent data processing.

[0033] It is understandable that by analyzing the wavelength data of the fiber grating and applying algorithm analysis, not only can the presence of ammonia leakage be detected in a timely manner, but the specific location of the leakage can also be accurately identified, and accurate alarm information can be provided to the operator in a timely manner.

[0034] Specifically, the algorithm software of the edge computing device 103 can use the positioning algorithm to assist the original wavelength data in locating the leak. First, the original wavelength data is displayed on a waveform graph, and the algorithm software is used to perform noise filtering, and the collected wavelength signal is denoised and filtered to filter out the wavelength deviation caused by non-leakage factors such as background temperature fluctuations; then, a threshold judgment is made on the wavelength based on the denoised data, and a threshold for wavelength deviation is set. When the wavelength deviation of a measuring point of the fiber grating sensor 102 exceeds the threshold, the system records it, indicating that an ammonia leak is detected.

[0035] The ammonia leakage information includes the ammonia leakage location. The edge computing device 103 is specifically used to: Determine a plurality of first measurement points at which the wavelength shift is greater than a preset wavelength shift threshold; Based on the multi-point data fusion method, the wavelength offsets of multiple first measuring points are interpolated to determine the ammonia leakage location; Alternatively, a plurality of first measuring points may be fused and trained based on a preset neural network model to determine the ammonia leakage location.

[0036] It can be understood that by interpolating the wavelength offsets of multiple fiber grating measurement points that exceed the normal threshold through multi-point data fusion, the leakage range can be narrowed, thereby determining the location of the ammonia leakage, or by fusing and training multi-point sensor data through a preset neural network model, such as a CNN convolution model, to determine the location of the ammonia leakage point, further enhancing the accuracy of leakage point detection, and adding a neural network model can cope with complex leakage situations.

[0037] Specifically, wavelength data is collected simultaneously by multiple fiber grating sensors. These sensors are usually distributed at different positions of the pipeline and can monitor the status of the pipeline in real time. The wavelength change of each sensor reflects the physical changes at that position, such as the offset caused by factors such as temperature, pressure, and strain. When the wavelength offset of a certain measuring point exceeds the set threshold, it means that there may be an abnormality at that position, such as a leak. Then when the wavelength offset of a certain measuring point exceeds the preset threshold, the system records the data, indicating that a leak or other abnormality may have occurred at that position. At this time, the system will compare the data of multiple sensors to determine which measuring points have a wavelength offset that exceeds the threshold and which are within the normal range. For example, if the four sensors A, B, C, and D show abnormal wavelength offset, the positioning algorithm will combine the distance between the four sensors, the mutation time, the wavelength offset and other information for calculation to narrow the scope of the leak and deduce the possible location of the leak.

[0038] To further accurately locate the leak, the algorithm analyzes the wavelength change trends between multiple sensors to confirm whether the leak is ongoing and the location of the leak. In this process, the data from multiple sensors verify each other, reducing false positives or false negatives caused by abnormal data at a single measurement point. The system can adjust the wavelength offset threshold according to different environmental conditions, such as temperature and pressure, to adapt to various changing working environments. In addition, the system will use neural networks to train data from multiple sensors, combining the characteristics of multiple data sources to further improve detection accuracy.

[0039] The edge computing device 103 is also used to: Adjust preset wavelength shift thresholds based on real-time temperature or real-time pressure.

[0040] It is understandable that the edge computing device 103 can also automatically and appropriately adjust the wavelength offset threshold according to different temperature and pressure conditions to adapt to environmental changes and improve detection accuracy.

[0041] Furthermore, while using the edge computing device 103 to locate the leak, if the wavelength offset of the sensor has an obvious mutation trend, it is also possible to determine whether the wavelength offset of the sensor continues to change through sliding average or weighted exponential smoothing, so as to confirm the leakage signal and further confirm whether the leakage location is continuous, eliminate false alarms caused by short-term environmental interference, and improve the accuracy of detection.

[0042] In one embodiment of the present invention, the ammonia leakage fiber Bragg grating detection system 100 further includes a human-machine interface 105, and the human-machine interface 105 is connected to the edge computing device 103 via RS-485 communication; A human-machine interface 105, for displaying wavelength data collected by the fiber grating sensor 102 in real time; Or set alarm thresholds based on ammonia leakage information; Or store the wavelength data and alarm information collected by the fiber grating sensor 102.

[0043] In one embodiment of the present invention, the human-machine interface 105 further includes a relay 1051 and an audible and visual alarm 1052, the relay 1051 is connected to the human-machine interface 105 via RS485 communication, and the audible and visual alarm 1052 is connected to the relay 1051 via a positive and negative power supply interface; The sound and light alarm 1052 is used to make sound and light alarms based on the alarm threshold.

[0044] It can be understood that the host computer system extended from the fiber grating sensor 102, such as the human-machine interface 105, can enable the staff to observe the real-time data changes of each measuring point of the entire supply pipeline in real time, and then set the alarm threshold according to the ammonia leakage information. The setting of the alarm threshold can realize automatic sound and light alarm, realize intelligent alarm and response and data visualization.

[0045] Specifically, after the edge computing device 103 finally integrates the data, it transmits the data to the human-machine interface 105 through the RS-485 communication method. The human-machine interface 105 has a power interface, an RS-485 serial port and a LAN network port. The human-machine interface 105 has real-time monitoring data display and alarm threshold settings. The human-machine interface 105 can display the wavelength data of all fiber grating sensor 102 measurement points in real time. During the display process, it can be displayed in a digital list or a waveform display can be selected; and by setting the alarm threshold, the sound and light alarm can be driven to realize automatic sound and light alarm, and finally the real-time monitoring data and alarm information data are stored. In addition, the human-machine interface 105 can also play back historical data for the convenience of managers to check.

[0046] In one embodiment of the present invention, the ammonia leakage fiber Bragg grating detection system 100 further includes a cloud platform 106, and the cloud platform 106 is connected to the edge computing device 103 via MQTT communication; The cloud platform 106 is used to store the wavelength data collected by the fiber grating sensor 102 and the ammonia leakage information detected by the edge computing device 103.

[0047] It is understandable that the cloud platform 106 can store large amounts of data while performing remote data management and sharing, solving the problem of limited storage capacity of the local human-machine interface 105. Long-term data storage facilitates historical data analysis and supports equipment lifecycle management.

[0048] Specifically, the edge computing device 103 also connects the wavelength data and ammonia leakage information to the cloud platform 106 via Ethernet. The cloud platform 106 can realize real-time data transmission and remote monitoring management, so that users or systems can check the equipment status anytime and anywhere without having to go to the site in person; it can also automatically save the transmitted data and classify it, support the addition of metadata such as data tags, timestamps and device IDs, facilitate data retrieval and management, and has functions such as data encryption, device identity authentication, and user authority classification to ensure that only authorized users can access and operate the device and its data.

[0049] The present invention uses fiber grating sensors 102 to be arranged along the entire pipeline, and the edge computing device 103 algorithm processes and analyzes the original data, so that the data can better monitor the stress and temperature changes on the pipeline surface in real time, and accurately locate the leakage point. At the same time, the human-machine interface 105 system can allow on-site staff to observe the health status of the entire system pipeline in real time, and can also timely alarm at the first time of leakage, effectively reducing the harm of leakage to the environment and equipment; by arranging the fiber grating sensor 102 on the inner layer pipeline, the state of the inner layer pipeline can be monitored throughout the process, eliminating the blind spots that cannot be monitored in traditional technology, enhancing the overall safety of the system, and the fiber grating sensor 102 real-time feedback leakage position, reducing the time and labor cost required for large-scale investigation in traditional methods. After accurately locating the leakage point, maintenance personnel can quickly locate and handle the problem, greatly improving the maintenance efficiency and reducing the maintenance cost; at the same time, the cloud platform 106 greatly enhances the transmission efficiency, management function and data utilization value of equipment data, and can provide enterprises and users with comprehensive equipment operation monitoring, intelligent analysis and automatic management. These advantages make equipment management more intelligent and visual, helping to reduce operation and maintenance costs and improve the accuracy of data processing and the safety of equipment.

[0050] In order to better implement the ammonia leakage fiber Bragg grating detection system in the embodiment of the present invention, based on the ammonia leakage fiber Bragg grating detection system, correspondingly, Figure 2 As shown, Figure 2 This is a method flow chart of an embodiment of a method for detecting ammonia leakage using a fiber Bragg grating (FBG) according to the present invention.

[0051] S201: collecting wavelength data on an inner layer of a transmission pipeline based on a fiber grating sensor, wherein the fiber grating sensor is arranged on an outer surface of the inner layer of the pipeline in a surrounding manner; S202: Calculate the wavelength data using a preset positioning algorithm based on the edge computing device to detect ammonia leakage information.

[0052] The fiber Bragg grating detection method for ammonia leakage provided in the above embodiment can realize the technical solution described in the above embodiment of the fiber Bragg grating detection system for ammonia leakage, which will not be described in detail here.

[0053] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0054] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention.

Claims

1. An ammonia leakage fiber Bragg grating detection system, characterized in that: include: Transmission pipelines, fiber grating sensors and edge computing equipment; The transmission pipeline is used to transport ammonia fuel, wherein the transmission pipeline includes an inner layer pipeline and an outer layer pipeline; The fiber grating sensor is used to collect wavelength data on the inner layer pipe, wherein the fiber grating sensor is arranged on the outer surface of the inner layer pipe in a surrounding manner; The edge computing device is used to calculate the wavelength data based on a preset positioning algorithm to detect ammonia leakage information.

2. The ammonia leakage fiber Bragg grating detection system according to claim 1, characterized in that: The fiber grating sensor includes a plurality of measuring points; The fiber grating sensor is specifically used to collect wavelength data of each measuring point on the inner layer pipeline.

3. The ammonia leakage fiber Bragg grating detection system according to claim 2, characterized in that: The ammonia leakage information includes whether ammonia has leaked, and the edge computing device is specifically used to: De-noising and filtering the wavelength data to obtain a wavelength offset of the de-noised wavelength data; If the wavelength deviation of any measuring point is greater than a preset wavelength deviation threshold, ammonia leakage is determined.

4. The ammonia leakage fiber Bragg grating detection system according to claim 3, characterized in that: The ammonia leakage information includes the ammonia leakage location, and the edge computing device is specifically used to: Determine a plurality of first measurement points at which the wavelength shift is greater than a preset wavelength shift threshold; Interpolating the wavelength offsets of the plurality of first measuring points based on a multi-point data fusion method to determine the ammonia leakage location; Alternatively, the plurality of first measuring points are fused and trained based on a preset neural network model to determine the ammonia leakage location.

5. The ammonia leakage fiber Bragg grating detection system according to claim 4, characterized in that: The edge computing device is also used to: The preset wavelength shift threshold is adjusted based on the real-time temperature or the real-time pressure.

6. The ammonia leakage fiber Bragg grating detection system according to claim 5, characterized in that: The ammonia leakage fiber Bragg grating detection system also includes a human-machine interface, and the human-machine interface is connected to the edge computing device via RS-485 communication; The human-machine interface is used to display the wavelength data collected by the fiber grating sensor in real time; or setting an alarm threshold based on the ammonia leakage information; Or store the wavelength data and alarm information collected by the fiber grating sensor.

7. The ammonia leakage fiber Bragg grating detection system according to claim 6, characterized in that: The human-machine interface also includes a relay and an audible and visual alarm, wherein the relay is connected to the human-machine interface via RS-485 communication, and the audible and visual alarm is connected to the relay via a positive and negative power supply interface; The sound and light alarm is used to make a sound and light alarm based on the alarm threshold.

8. The ammonia leakage fiber Bragg grating detection system according to claim 1, characterized in that: The ammonia leakage fiber Bragg grating detection system also includes a fiber Bragg grating demodulator; The fiber grating demodulator is connected to the edge computing device via MODBUS TCP communication.

9. The ammonia leakage fiber Bragg grating detection system according to claim 1, characterized in that: The ammonia leakage fiber Bragg grating detection system also includes a cloud platform, and the cloud platform is connected to the edge computing device via MQTT communication; The cloud platform is used to store the wavelength data collected by the fiber grating sensor and the ammonia leakage information detected by the edge computing device.

10. An ammonia leakage fiber Bragg grating detection method, applied to the ammonia leakage fiber Bragg grating detection system according to any one of claims 1 to 9, characterized in that: include: The wavelength data on the inner layer of the transmission pipeline is collected based on a fiber grating sensor, wherein the fiber grating sensor is arranged on the outer surface of the inner layer of the pipeline in a surrounding manner; The wavelength data is calculated using a preset positioning algorithm based on the edge computing device to detect ammonia leakage information.

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