A Laser Telemetry-Based Augmented Reality Imaging Processing Method and System for Gas Detection

Abstract

This application relates to the field of gas detection technology, specifically a gas detection augmented reality imaging processing method and system based on laser telemetry, comprising the following steps: emitting a detection laser into the measured space through an array-type laser telemetry monitoring module, scanning multiple sampling directions or sampling points within the measured space to obtain the corresponding gas telemetry echo signals, and retrieving the initial gas concentration data for each sampling point; the array-type laser telemetry monitoring module adopts a multi-channel scanning method with an N×M matrix structure; synchronously emitting a visible indicator laser to indicate the monitoring position and scanning range corresponding to the current detection laser; acquiring visible light images of the measured scene through a camera to obtain the corresponding real-world background image; by combining laser telemetry, multi-channel scanning, confidence assessment, and augmented reality display technology, high-precision, real-time gas concentration monitoring and leak source location can be achieved, improving monitoring efficiency and safety.

Description

Technical Field

[0001] This application relates to the field of gas detection technology, specifically to a gas detection augmented reality imaging processing method and system based on laser telemetry. Background Technology

[0002] With the advancement of industrialization, the detection and monitoring of methane gas has become a top priority for safety management in many industries. Especially in flammable and explosive locations such as mines and chemical plants, methane gas leaks can lead to serious safety accidents. Therefore, real-time monitoring and accurate location of methane gas are crucial.

[0003] Traditional methods for detecting methane gas often employ portable gas detectors or fixed monitoring equipment, which typically rely on gas sensors to measure gas concentration. However, existing technologies face several challenges:

[0004] Limited detection range: Due to limitations in sensor deployment, real-time monitoring of large areas is not possible.

[0005] Low location accuracy: Traditional methods cannot accurately locate the source of a gas leak, and can usually only provide relatively rough gas concentration data.

[0006] Slow response speed: Traditional monitoring methods rely on manual intervention or manual adjustment of equipment, resulting in long response times and an inability to provide comprehensive information in real time.

[0007] To address these issues, gas detection methods based on laser remote sensing technology have gradually become a new research direction. Laser remote sensing enables non-contact, long-distance gas detection and possesses high sensitivity and strong anti-interference capabilities. However, traditional laser remote sensing technology still has the following shortcomings:

[0008] The information presentation method is not intuitive: Traditional laser telemetry technology can only provide numerical data and cannot intuitively show the spatial distribution of gas concentration;

[0009] Difficulty in spatial positioning: The lack of an effective positioning system makes it impossible to accurately locate the source of gas leakage;

[0010] Information processing is cumbersome: gas concentration data and image data often cannot be integrated in a timely manner, making it difficult to achieve real-time monitoring and alarms.

[0011] Therefore, it is of great significance to develop a new gas detection system that combines augmented reality technology and laser telemetry technology, which can provide intuitive image display, accurate leak source location, rapid alarm response, and transmit real-time monitoring results to a remote monitoring platform. Summary of the Invention

[0012] This application provides a gas detection augmented reality imaging processing method and system based on laser telemetry. By combining laser telemetry, multi-channel scanning, confidence assessment and augmented reality display technology, it can achieve high-precision, real-time gas concentration monitoring and leak source location, improve monitoring efficiency and safety, and effectively solve the problems in the background technology.

[0013] To achieve the above objectives, this application provides the following technical solution: an augmented reality imaging processing method for gas detection based on laser telemetry, comprising the following steps:

[0014] S1: The array-type laser telemetry monitoring module emits a detection laser into the space under test, scans multiple sampling directions or sampling points in the space under test, obtains the corresponding gas telemetry echo signal, and inverts to obtain the initial gas concentration data of each sampling point. The array-type laser telemetry monitoring module adopts a multi-channel scanning method with an N×M matrix structure.

[0015] S2: Simultaneously emits a visible indicator laser to indicate the monitoring position and scanning range corresponding to the current detection laser. It also acquires visible light images of the scene under test through a camera to obtain the corresponding real-world background image.

[0016] S3: Measure the distance information between the monitoring system and the gas cloud in the measured space through the distance measuring module, and perform distance compensation correction on the initial gas concentration data according to the distance information to obtain the corrected gas concentration data;

[0017] S4: Based on the laser echo signal-to-noise ratio, echo intensity fluctuation and / or background noise level corresponding to the corrected gas concentration data, perform confidence assessment on the gas concentration data of each sampling point and generate corresponding concentration reliability parameters.

[0018] S5: Based on the preset concentration and color mapping relationship, the gas concentration data after confidence assessment is converted into gas concentration distribution imaging images of different color depths, wherein the higher the gas concentration, the darker the corresponding color, and the low confidence area is marked or faded according to the concentration reliability parameter.

[0019] S6: Based on the imaging parameters of the camera and the laser scanning coordinates, the gas concentration distribution imaging image and the visible light image are spatially registered, and the gas concentration distribution imaging image is superimposed on the visible light image to form an augmented reality gas detection imaging result;

[0020] S7: Based on the high-concentration area distribution and / or concentration gradient information in the augmented reality gas detection imaging results, determine the spatial location of the gas leak source; when the gas concentration value and / or leak source intensity exceed the preset alarm threshold, the alarm module triggers an alarm signal and transmits the alarm information and the spatial location of the leak source to the remote monitoring platform through the communication module.

[0021] Furthermore, the N×M matrix structure is at least a 2×2 area array structure, preferably a 4×4 array structure, to achieve area array scanning detection of the measured space.

[0022] Furthermore, the indicating laser and the detection laser are arranged coaxially or parallel to each other, and are used to indicate the incident position and scanning trajectory of the detection laser in real time.

[0023] Furthermore, the distance compensation correction in step S4 includes correcting the attenuation coefficient of the laser echo signal based on the distance value obtained by the ranging module, and the corrected echo signal is used to calculate the accurate gas concentration value through the inversion model.

[0024] Furthermore, the confidence assessment in step S5 includes calculating the reliability coefficient of the gas concentration data at each sampling point, and using the reliability coefficient as a weighting parameter in the imaging processing in step S6.

[0025] Furthermore, the spatial registration in step S7 includes geometric correction of the laser scanning coordinates based on the intrinsic and extrinsic parameters of the camera, so that the gas concentration distribution imaging image corresponds one-to-one with the spatial position in the real scene, and the distance information and / or orientation indicator of the leakage source are superimposed and displayed in the augmented reality image.

[0026] An augmented reality imaging processing system for gas detection based on laser telemetry, comprising:

[0027] An array-type laser telemetry monitoring module is used to emit detection lasers in an N×M matrix manner, acquire gas telemetry echo signals from multiple sampling directions or sampling points, and invert the gas concentration data.

[0028] The indicator laser module emits a visible laser to indicate the detection and the incident position and scanning trajectory of the laser in real time.

[0029] The camera module is used to acquire visible light images of the scene under test.

[0030] The ranging module is used to measure the distance between the system and the gas cloud and output the distance information;

[0031] The confidence assessment module is used to perform reliability analysis on methane concentration data and output concentration reliability parameters.

[0032] The imaging processing module generates a gas concentration distribution imaging image based on the gas concentration data, distance information, and concentration reliability parameters, and converts it into visual effects with different color depths to present the concentration distribution. The imaging image is spatially registered and superimposed with the visible light image to form an augmented reality gas detection imaging result.

[0033] The leak location and alarm module is used to determine the location of the gas leak source based on the augmented reality gas detection imaging results, and to output an alarm signal when the alarm threshold is exceeded.

[0034] The communication module is used to send the augmented reality gas detection imaging results, leak source location results, and alarm information to an external display terminal and / or a remote monitoring platform.

[0035] Furthermore, the array-type laser telemetry monitoring module includes an array-type laser emitter, an array-type receiver, and a scanning control unit to achieve multi-channel synchronous scanning detection.

[0036] Furthermore, the imaging processing module includes a concentration inversion unit, a color mapping unit, an image generation unit, and an image fusion unit, used to complete the conversion from gas concentration numerical data to augmented reality imaging images.

[0037] Furthermore, the communication module supports both wired Ethernet communication and cellular mobile communication, and is configured to upload real-time gas imaging data, positioning results, and alarm information to a cloud platform for remote monitoring and historical analysis.

[0038] Compared with the prior art, the beneficial effects of this application are:

[0039] 1. By spatially registering and overlaying methane concentration distribution images with real-world images, augmented reality methane detection imaging results are generated, enabling monitoring personnel to intuitively see the concentration distribution of methane in real-world scenarios, thus improving the visualization and ease of use of monitoring data.

[0040] 2. By combining laser telemetry and image processing technologies, the spatial location of a gas leak source can be accurately determined based on the spatial distribution and concentration gradient information of the gas concentration, and the distance and orientation information of the leak source can be provided. This effectively avoids the qualitative analysis required by traditional methods and improves the accuracy of leak source location.

[0041] 3. When the methane gas concentration exceeds a preset threshold, the system can immediately trigger an alarm and upload the alarm information and leak source location results to the remote monitoring platform via the communication module, providing immediate feedback. This helps to respond quickly to methane leak incidents and ensure workplace safety.

[0042] 4. During the concentration data processing, the system incorporates a confidence assessment mechanism, which corrects for the reliability of the gas concentration data to ensure that the final concentration distribution image accurately reflects the actual situation. By identifying or softening low-confidence areas, misjudgments caused by data noise are effectively avoided.

[0043] 5. The image generation unit and image fusion unit efficiently fuse gas concentration data with real-world images to form an easy-to-understand visual image, helping monitoring personnel to better assess the risk of gas leakage. Attached Figure Description

[0044] Figure 1 This is a block diagram of the overall system structure of this application.

[0045] Figure 2 This is a flowchart of the array-type laser scanning and sampling process in this application.

[0046] Figure 3 This is a flowchart illustrating the data processing and augmented reality imaging generation process for this application. Detailed Implementation

[0047] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0048] Please see Figure 1-3 This application provides the following technical solutions:

[0049] An augmented reality imaging processing system for gas detection based on laser telemetry includes the following modules:

[0050] The array-type laser telemetry monitoring module is used to acquire methane gas concentration data from multiple sampling points within the measured space using laser telemetry technology. The array-type laser telemetry monitoring module adopts an N×M matrix structure, enabling multi-channel synchronous scanning and covering a wider area.

[0051] The array-type laser telemetry monitoring module consists of multiple laser transmitters, receivers, and a scanning control unit. The laser transmitters emit laser beams, and the receivers receive the echo signals reflected back from the lasers. The scanning control unit controls the scanning angle and direction of the laser beams, enabling the laser beams to scan multiple sampling points one by one and acquire the corresponding echo signals.

[0052] The distance information can be derived from the intensity of the laser echo signal and the time difference between the received echo signal, thereby calculating the methane concentration at each sampling point. In this way, the array-type laser telemetry monitoring module can acquire methane concentration data in real time over a large area.

[0053] The indicator laser module emits a visible laser beam to indicate the incident position and scanning trajectory of the detection laser in real time. Its purpose is to ensure that monitoring personnel can visually see the location being monitored, facilitating the identification of the monitoring range and area.

[0054] The indicator laser and the detection laser can be set coaxially or in parallel. When the laser telemetry module emits a laser, the indicator laser module simultaneously emits a visible laser, allowing monitoring personnel to identify the current monitoring location and scanning range through the visible laser light.

[0055] The camera module is used to acquire visible light images of the measured space, providing a real-world view for subsequent augmented reality displays. The camera module can employ a high-resolution digital camera, capable of clearly capturing images of the measured scene under various environmental conditions.

[0056] The camera acquires image information of the scene under test in real time and transmits the image data to the image processing module for fusion and analysis with the laser telemetry data.

[0057] The ranging module is used to measure the distance between the gas cloud and the monitoring system. Using lasers or other sensors, the ranging module acquires precise distance data and provides this data to the distance compensation and correction module to correct the concentration data.

[0058] The ranging module determines the precise distance between the monitoring equipment and the gas cloud by emitting a laser or other radio wave beam and calculating the time difference of the echo. This distance data is crucial for correcting for attenuation effects in the laser echo signal.

[0059] This module assesses the reliability of gas concentration data based on the quality of the laser echo signal (such as signal-to-noise ratio, echo intensity fluctuation, background noise, etc.). By evaluating the reliability of the concentration data at each sampling point, it generates a concentration reliability parameter for each point.

[0060] The confidence assessment module analyzes the echo signal and calculates its reliability coefficient. Samples with high signal quality have high reliability, while samples with poor signal quality are assigned lower reliability coefficients. This assessment result plays a crucial role in subsequent image generation.

[0061] The imaging processing module generates a gas concentration distribution image based on gas concentration data, distance information, and concentration reliability parameters. It then spatially registers this image with a real-world image to create an augmented reality display. This includes:

[0062] Concentration Inversion Unit: Based on the intensity of the laser echo signal and the ranging data, the gas concentration value of each sampling point is obtained through the inversion model.

[0063] Color mapping unit: Based on the relationship between concentration data and color mapping, areas with high concentration are mapped to darker colors, and areas with low concentration are mapped to lighter colors.

[0064] Image generation unit: Generates a two-dimensional image of the gas concentration distribution.

[0065] Image fusion unit: Through image registration algorithm, the generated gas concentration image is fused with the real-world image captured by the camera, and then displayed in the augmented reality display terminal.

[0066] Based on the generated augmented reality image, the leak location and alarm module can determine the location of the gas leak source. When the gas concentration exceeds the preset alarm threshold, the system will trigger an alarm and transmit the alarm information and the location of the leak source to the remote monitoring platform.

[0067] This module analyzes high-concentration areas in gas concentration images, combining concentration gradients and spatial distribution information to determine the spatial location of the leak source, and triggers an alarm based on concentration exceeding limits. The alarm signal is transmitted to the monitoring platform in real time via a communication module, providing rapid response capabilities.

[0068] The communication module is used to transmit gas detection imaging results, leak source location results and alarm information to an external display terminal or remote monitoring platform, and supports wired and wireless communication methods.

[0069] The communication module uploads the real-time gas imaging data, positioning results, and alarm information generated by the system to the cloud platform, ensuring that monitoring personnel can remotely monitor the gas concentration distribution and obtain alarm information in real time.

[0070] An augmented reality imaging processing method for gas detection based on laser telemetry can be implemented step by step through the following steps:

[0071] Step S1: Array-type laser telemetry

[0072] In this step, a laser is emitted by an array-type laser telemetry monitoring module to scan multiple directions or sampling points in the measured space. After the laser echo signals are received, the gas concentration data for each sampling point is obtained through inversion calculation. This process uses a multi-channel scanning method with an N×M matrix structure to ensure wide coverage and high-precision concentration data acquisition.

[0073] Step S2: Instruct synchronous laser emission

[0074] Simultaneously, the laser module emits a visible laser beam, indicating the laser's scanning trajectory and incident position. The camera module then captures real-world images of the area, providing a foundation for subsequent image fusion.

[0075] Step S3: Distance measurement information acquisition and correction

[0076] The distance between the system and the gas cloud is measured by a ranging module, and the initial gas concentration data is compensated and corrected based on this distance information to obtain the corrected concentration data. This step is crucial for eliminating errors caused by distance attenuation.

[0077] Step S4: Confidence Assessment

[0078] The confidence assessment module evaluates the reliability of the concentration data at each sampling point based on the quality of the echo signal and generates a corresponding concentration reliability parameter. This parameter will play a crucial role in subsequent imaging steps.

[0079] Step S5: Gas Concentration Imaging and Color Mapping

[0080] Based on the concentration data and color mapping relationship, the concentration data of each sampling point is converted into different shades of color to generate a gas concentration distribution imaging image. Low-confidence areas will be marked or faded to ensure the accuracy of the imaging results.

[0081] Step S6: Spatial Registration and Augmented Reality Display

[0082] The generated gas concentration image is spatially registered with the real-world image captured by the camera to ensure consistency in their spatial location. Finally, the concentration distribution image is overlaid with the real-world image to create an augmented reality display effect for monitoring personnel to view intuitively.

[0083] Step S7: Leakage source location and alarm

[0084] Based on the high-concentration areas and concentration gradients in the augmented reality image, the spatial location of the gas leak source is determined. When the concentration value exceeds a preset threshold, the system triggers an alarm and transmits the alarm signal and the location of the leak source to a remote monitoring platform via a communication module.

[0085] Through the above system and specific steps, this application achieves the following technical effects by employing array-type laser telemetry technology, confidence assessment mechanism, and augmented reality display technology:

[0086] The wide-area, high-precision methane gas concentration detection, through the multi-channel scanning method of the array-type laser telemetry monitoring module, can cover a wider area and improve the accuracy of methane gas concentration data.

[0087] Real-time and intuitive monitoring displays, through augmented reality technology, can overlay images of gas concentration distribution with real-world images, allowing staff to visually see the gas concentration distribution within the monitoring area and promptly identify potential danger zones.

[0088] The highly efficient gas leak source location and alarm function can accurately locate the gas leak source through high concentration area and concentration gradient information, and issue an alarm in time when the concentration exceeds the standard to ensure the safety of the staff.

[0089] Data transmission and remote monitoring: Through the communication module, real-time monitoring data, alarm information and leakage source location results can be transmitted to the remote monitoring platform, facilitating remote management and data analysis.

[0090] Although embodiments of this application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A gas detection augmented reality imaging processing method based on laser telemetry, characterized in that, Includes the following steps: S1: The array-type laser telemetry monitoring module emits a detection laser into the space under test, scans multiple sampling directions or sampling points in the space under test, obtains the corresponding gas telemetry echo signal, and inverts to obtain the initial gas concentration data of each sampling point. The array-type laser telemetry monitoring module adopts a multi-channel scanning method with an N×M matrix structure. S2: Simultaneously emits a visible indicator laser to indicate the monitoring position and scanning range corresponding to the current detection laser. It also acquires visible light images of the scene under test through a camera to obtain the corresponding real-world background image. S3: Measure the distance information between the monitoring system and the gas cloud in the measured space through the distance measuring module, and perform distance compensation correction on the initial gas concentration data according to the distance information to obtain the corrected gas concentration data; S4: Based on the laser echo signal-to-noise ratio, echo intensity fluctuation and / or background noise level corresponding to the corrected gas concentration data, perform confidence assessment on the gas concentration data of each sampling point and generate corresponding concentration reliability parameters. S5: Based on the preset concentration and color mapping relationship, the gas concentration data after confidence assessment is converted into gas concentration distribution imaging images of different color depths, wherein the higher the gas concentration, the darker the corresponding color, and the low confidence area is marked or faded according to the concentration reliability parameter. S6: Based on the imaging parameters of the camera and the laser scanning coordinates, the gas concentration distribution imaging image and the visible light image are spatially registered, and the gas concentration distribution imaging image is superimposed on the visible light image to form an augmented reality gas detection imaging result; S7: Based on the high-concentration area distribution and / or concentration gradient information in the augmented reality gas detection imaging results, determine the spatial location of the gas leak source; when the gas concentration value and / or leak source intensity exceed the preset alarm threshold, the alarm module triggers an alarm signal and transmits the alarm information and the spatial location of the leak source to the remote monitoring platform through the communication module.

2. The augmented reality imaging processing method for gas detection based on laser telemetry according to claim 1, characterized in that: The N×M matrix structure is at least a 2×2 area array structure, preferably a 4×4 array structure, to achieve area array scanning detection of the measured space.

3. The augmented reality imaging processing method for gas detection based on laser telemetry according to claim 1, characterized in that: The indicator laser and the detection laser are arranged coaxially or parallel to each other, and are used to indicate the incident position and scanning trajectory of the detection laser in real time.

4. The augmented reality imaging processing method for gas detection based on laser telemetry according to claim 1, characterized in that: The distance compensation correction in step S4 includes correcting the attenuation coefficient of the laser echo signal based on the distance value obtained by the ranging module. The corrected echo signal is then used to calculate the accurate gas concentration value through the inversion model.

5. The augmented reality imaging processing method for gas detection based on laser telemetry according to claim 1, characterized in that: The confidence assessment in step S5 includes calculating the reliability coefficient of the gas concentration data at each sampling point, and using the reliability coefficient as a weighting parameter in the imaging processing in step S6.

6. The augmented reality imaging processing method for gas detection based on laser telemetry according to claim 1, characterized in that: The spatial registration in step S7 includes geometric correction of the laser scanning coordinates based on the intrinsic and extrinsic parameters of the camera, so that the gas concentration distribution imaging image corresponds one-to-one with the spatial position in the real scene, and the distance information and / or orientation indicator of the leakage source are superimposed and displayed in the augmented reality image.

7. A gas detection augmented reality imaging processing system based on laser telemetry, characterized in that, include: An array-type laser telemetry monitoring module is used to emit detection lasers in an N×M matrix manner, acquire gas telemetry echo signals from multiple sampling directions or sampling points, and invert the gas concentration data. The indicator laser module emits a visible laser to indicate the detection and the incident position and scanning trajectory of the laser in real time. The camera module is used to acquire visible light images of the scene under test. The ranging module is used to measure the distance between the system and the gas cloud and output the distance information; The confidence assessment module is used to perform reliability analysis on methane concentration data and output concentration reliability parameters. The imaging processing module generates a gas concentration distribution imaging image based on the gas concentration data, distance information, and concentration reliability parameters, and converts it into visual effects with different color depths to present the concentration distribution. The imaging image is spatially registered and superimposed with the visible light image to form an augmented reality gas detection imaging result. The leak location and alarm module is used to determine the location of the gas leak source based on the augmented reality gas detection imaging results, and to output an alarm signal when the alarm threshold is exceeded. The communication module is used to send the augmented reality gas detection imaging results, leak source location results, and alarm information to an external display terminal and / or a remote monitoring platform.

8. The gas detection augmented reality imaging processing system based on laser telemetry according to claim 7, characterized in that: The array-type laser telemetry monitoring module includes an array-type laser transmitter, an array-type receiver, and a scanning control unit to achieve multi-channel synchronous scanning detection.

9. The gas detection augmented reality imaging processing system based on laser telemetry according to claim 7, characterized in that: The imaging processing module includes a concentration inversion unit, a color mapping unit, an image generation unit, and an image fusion unit, which are used to convert gas concentration numerical data into augmented reality imaging images.

10. The gas detection augmented reality imaging processing system based on laser telemetry according to claim 7, characterized in that: The communication module supports both wired Ethernet communication and cellular mobile communication, and is configured to upload real-time gas imaging data, positioning results, and alarm information to a cloud platform for remote monitoring and historical analysis.

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