Flow monitoring efficiency feedback system and method based on Fourier infrared gas telemetry

Abstract

The invention discloses a flow monitoring efficiency feedback system and method based on Fourier infrared gas telemetry, comprising the following steps: establishing a flow infrared gas telemetry data monitoring system; acquiring two groups of vibration curves and two groups of dynamic gas telemetry images respectively generated by different terrains based on time axis fluidity according to the established flow infrared gas telemetry data monitoring system; performing difference division based on vibration frequency and vibration amplitude according to the two groups of vibration curves acquired; according to the difference division results of vibration frequency and vibration amplitude, acquiring two groups of gas telemetry images corresponding to corresponding time axis nodes and for the same gas target point, and calculating image difference; solving the technical problem that the imaging accuracy is not high and the flow gas telemetry efficiency is difficult to obtain due to the difference in terrain conditions during flow gas telemetry imaging.

Description

Technical Field

[0001] The present invention relates to the technical field of gas remote sensing imaging, and in particular to a flow monitoring efficiency feedback system and method based on Fourier infrared gas remote sensing. Background Art

[0002] The gas telemetry imaging system is a scanning gas infrared remote sensing telemetry imaging system based on passive Fourier transform infrared spectroscopy technology. Infrared spectrum is also known as molecular fingerprint. The infrared spectrum characteristics of different gas molecules are different. Most toxic and harmful gases have characteristic peaks in the infrared band. Fourier transform infrared spectroscopy technology uses the infrared spectrum characteristics of gases for detection and analysis. It can achieve qualitative identification and dynamic quantitative inversion of toxic, harmful and hazardous gases in the target gas cloud. It can intuitively view the type of monitored gas, the dynamic distribution of real-time concentration, the diffusion range and direction, thereby realizing long-distance automatic detection and imaging, which is widely used in gas leak monitoring, fire and other fields.

[0003] In the existing technology, for forest fires, urban firefighting and other fields, due to the uncertainty of the accident location and the uncontrollability of the accident scope, it is usually necessary to use the vehicle-mounted warning system to perform mobile gas telemetry imaging. Although it can achieve early warning and assessment of danger to a certain extent, due to the differences in terrain conditions at different accident locations, it is very easy to cause the vehicle-mounted warning system to produce irregular bumps and vibrations during the mobile telemetry operation, which seriously affects the accuracy of gas telemetry imaging. Therefore, it is urgent to obtain the efficiency of mobile gas telemetry under differentiated terrain conditions as a reference data basis for subsequent improvement research. Summary of the invention

[0004] To this end, the present invention provides a flow monitoring efficiency feedback system and method based on Fourier infrared gas telemetry to solve the technical problems in the prior art that during flow gas telemetry imaging operations, the gas telemetry imaging accuracy is low due to differences in terrain conditions, making it difficult to obtain the flow gas telemetry efficiency.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] A flow monitoring efficiency feedback method based on Fourier infrared gas telemetry comprises the following steps:

[0007] Establish a mobile infrared gas remote sensing data monitoring system;

[0008] According to the established flow infrared gas telemetry data monitoring system, two sets of vibration curves and two sets of dynamic gas telemetry images generated by different terrains are obtained based on the time axis fluidity;

[0009] According to the two groups of vibration curves obtained, the difference is divided based on the vibration frequency and the vibration amplitude;

[0010] According to the difference division results of vibration frequency and vibration amplitude, two groups of gas telemetry images corresponding to the corresponding time axis nodes and the same gas target point are obtained, and image difference calculation is performed;

[0011] The image difference is calculated with the vibration amplitude and vibration frequency divided by the difference, and the image telemetry efficiency data affected by the vibration amplitude and the image telemetry efficiency data affected by the vibration frequency are obtained.

[0012] On the basis of the above technical solution, the present invention is further described as follows:

[0013] As a further solution of the present invention, the establishment of a mobile infrared gas remote sensing data monitoring system specifically includes:

[0014] Two groups of vehicle-mounted infrared gas telemetry devices are arranged in a sequential position, and a transmission cable is established between the two groups of vehicle-mounted infrared gas telemetry devices, so that the two groups of vehicle-mounted infrared gas telemetry devices can move synchronously, and at the same time, the two groups of vehicle-mounted infrared gas telemetry devices have independent vibration values ​​generated by different terrains;

[0015] The gas telemetry directions of the two sets of vehicle-mounted infrared gas telemetry devices are adjustable, so that the gas telemetry directions of the two sets of vehicle-mounted infrared gas telemetry devices are both oriented toward the same gas target point through adjustment;

[0016] Laser displacement sensors and vibration sensors are respectively configured for the two groups of vehicle-mounted infrared gas remote sensing equipment, so as to obtain the vibration curves of the two groups of vehicle-mounted infrared gas remote sensing equipment affected by different terrains and the multi-point amplitude values ​​corresponding to the vibration curves through the cooperation of the laser displacement sensor and the vibration sensor.

[0017] As a further solution of the present invention, the established flow infrared gas telemetry data monitoring system obtains two sets of vibration curves and two sets of dynamic gas telemetry images respectively generated by different terrains based on the time axis fluidity, specifically including:

[0018] According to the established mobility infrared gas telemetry data monitoring system, two groups of vehicle-mounted infrared gas telemetry equipment are arranged in succession and driven to move synchronously. With the help of the mobility monitoring of gas targets by the two groups of vehicle-mounted infrared gas telemetry equipment, two groups of dynamic gas telemetry images affected by different terrains are acquired through real-time telemetry. At the same time, with the help of the laser shift sensors and vibration sensors respectively configured on the two groups of vehicle-mounted infrared gas telemetry equipment, the real-time dynamic vibration curves affected by different terrains and the multi-point amplitude values ​​corresponding to the vibration curves are acquired.

[0019] As a further solution of the present invention, the difference division based on the vibration frequency and the vibration amplitude of the two groups of vibration curves obtained specifically includes:

[0020] A standard amplitude difference threshold is preset, and several groups of amplitude difference values ​​corresponding to each time axis node of two groups of vibration curves are obtained by sequential comparison based on the time axis, and the amplitude difference value higher than the standard amplitude difference threshold is used as the actual amplitude monitoring difference value a, such as the actual amplitude monitoring difference value a caused by terrain convexity or concaveness, and the actual amplitude monitoring difference value a is further used as the basic reference data for calculating the monitoring efficiency by amplitude;

[0021] A standard frequency difference threshold is preset, and the low amplitude difference curve positions corresponding to the amplitude differences below the standard amplitude difference threshold in the two groups of vibration curves are screened, and further based on the time axis comparison, several groups of frequency difference values ​​corresponding to the low amplitude difference curve positions of the two groups of vibration curves are obtained, and the frequency difference values ​​higher than the standard frequency difference threshold are used as the actual frequency monitoring difference b, such as the actual frequency monitoring difference b generated when the terrain changes from cement land to sandy land. The actual frequency monitoring difference b is used as the basic reference data for calculating the monitoring efficiency based on the frequency.

[0022] As a further solution of the present invention, the image difference calculation is performed by obtaining two groups of gas telemetry images corresponding to the corresponding time axis nodes and for the same gas target point according to the difference division results of the vibration frequency and the vibration amplitude, specifically including:

[0023] The time axis node t1 corresponding to the actual amplitude monitoring difference a and two sets of amplitude-affected gas telemetry images for the same gas target point are respectively obtained, a first outer rectangular frame is respectively fitted based on the two sets of amplitude-affected gas telemetry images, and a number of first difference calculation points x1, x2, x3, ..., x4 are evenly divided based on the first outer rectangular frame. n , and then respectively calculate the spacing values ​​between the edge lines of the two groups of first outer rectangular frames and the outer edges of the target air masses in the images corresponding to the first difference calculation points, and further compare and calculate the spacing differences between the two groups of amplitude-affected gas telemetry images corresponding to the first difference calculation points, and take the absolute values ​​of the spacing differences corresponding to the first difference calculation points and then add them to obtain the image difference M affected by the actual amplitude monitoring difference a;

[0024] The time axis node t2 corresponding to the actual frequency monitoring difference b is obtained respectively, and two sets of frequency-affected gas telemetry images for the same gas target point are fitted with a second outer rectangular frame based on the two sets of frequency-affected gas telemetry images, and a number of second difference calculation points y1, y2, y3, ..., y are evenly divided based on the second outer rectangular frame. n, and then respectively calculate the spacing values ​​between the edges of the two groups of second outer rectangular frames and the outer edges of the target air masses in their images corresponding to a number of second difference calculation points, and further compare and calculate the spacing differences between the two groups of frequency-affected gas telemetry images corresponding to a number of second difference calculation points, take the absolute values ​​of the spacing differences corresponding to a number of second difference calculation points and then add them to obtain the image difference N affected by the actual frequency monitoring difference b.

[0025] As a further solution of the present invention, the image telemetry efficiency data affected by the vibration amplitude and the image telemetry efficiency data affected by the vibration frequency are obtained by calculating the image difference and the vibration amplitude and the vibration frequency respectively. Specifically, the image telemetry efficiency data affected by the vibration amplitude and the vibration frequency are obtained.

[0026] The image telemetry efficiency data D1 affected by the vibration amplitude is further calculated based on the image difference M affected by the actual amplitude monitoring difference a. The specific calculation formula is as follows:

[0027] D1=k·(M / a) (1)

[0028] Where k is the correction coefficient, a is the actual amplitude monitoring difference, and M is the image difference affected by the actual amplitude monitoring difference a;

[0029] The image telemetry efficiency data D2 affected by the vibration frequency is further calculated based on the image difference N affected by the actual vibration frequency monitoring difference b. The specific calculation formula is as follows:

[0030] D2=f·(N / b) (2)

[0031] Where f is the correction coefficient, b is the actual frequency monitoring difference, and N is the image difference affected by the actual frequency monitoring difference b.

[0032] A flow monitoring efficiency feedback system based on Fourier infrared gas telemetry, comprising:

[0033] Data monitoring system establishment module, used to establish a mobile infrared gas telemetry data monitoring system;

[0034] A vibration curve and image acquisition module is used to acquire two sets of vibration curves and two sets of dynamic gas telemetry images respectively generated by different terrains based on the time axis fluidity according to the established fluid infrared gas telemetry data monitoring system;

[0035] The efficiency analysis module is used to obtain image telemetry efficiency data affected by vibration amplitude and image telemetry efficiency data affected by vibration frequency based on comparison of two groups of vibration curves and two groups of dynamic gas telemetry images.

[0036] As a further solution of the present invention, the efficiency analysis module specifically includes:

[0037] A difference division unit, used for performing difference division based on vibration frequency and vibration amplitude according to the two sets of vibration curves obtained;

[0038] An image difference calculation unit is used to perform image difference calculation on two groups of gas telemetry images corresponding to corresponding time axis nodes and for the same gas target point according to the difference division results of vibration frequency and vibration amplitude;

[0039] The efficiency calculation unit is used to calculate the vibration amplitude and vibration frequency divided by the image difference respectively, to obtain the image telemetry efficiency data affected by the vibration amplitude and the image telemetry efficiency data affected by the vibration frequency.

[0040] An electronic device comprises: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the steps of the method.

[0041] A storage medium stores a computer program, which implements the steps of the method when executed by a processor.

[0042] The present invention has the following beneficial effects:

[0043] The method and system synchronously obtain vibration data and gas telemetry data corresponding to the same time axis node and the same gas target point at two terrain points for comparative analysis. This method and system can effectively solve the technical problems in the prior art that, during mobile gas telemetry imaging operations, the gas telemetry imaging accuracy is low due to differences in terrain conditions, and it is difficult to obtain the mobile gas telemetry efficiency, thereby providing data support for subsequent improvements. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the implementation mode of the present invention or the technical solution in the prior art, the drawings required for the implementation mode or the description of the prior art will be briefly introduced below. The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read. Any structural modification, change in proportional relationship or adjustment of size should still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0045] Figure 1 A schematic diagram of the overall process of a flow monitoring efficiency feedback method based on Fourier infrared gas telemetry provided in an embodiment of the present invention.

[0046] Figure 2A schematic diagram of the calculation principle corresponding to the actual amplitude monitoring difference and the actual frequency monitoring difference in the flow monitoring efficiency feedback method based on Fourier infrared gas telemetry provided in an embodiment of the present invention.

[0047] Figure 3 A schematic diagram of the calculation principle corresponding to the image difference in the flow monitoring efficiency feedback method based on Fourier infrared gas telemetry provided in an embodiment of the present invention.

[0048] Figure 4 A schematic diagram of the overall architecture of a flow monitoring efficiency feedback system based on Fourier infrared gas telemetry provided in an embodiment of the present invention.

[0049] Figure 5 The figure is a schematic diagram of the physical structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] The terms such as "upper", "lower", "left", "right", and "middle" used in this specification are only for the convenience of description and are not intended to limit the scope of the invention. Changes or adjustments to their relative relationships should be regarded as within the scope of the invention without substantially changing the technical content.

[0052] like Figures 1 to 3 As shown, the embodiment of the present invention provides a flow monitoring efficiency feedback method based on Fourier infrared gas telemetry, by synchronously acquiring vibration data and gas telemetry data corresponding to the same time axis node and the same gas target point at two terrain points for comparison and analysis, which can effectively solve the technical problems in the prior art that the accuracy of gas telemetry imaging is low due to differences in terrain conditions and it is difficult to obtain the flow gas telemetry efficiency during flow gas telemetry imaging operations, provide data support for subsequent improvements, and significantly improve the accuracy of Fourier infrared gas telemetry data. Specifically, it includes the following steps.

[0053] S1: Establish a mobile infrared gas remote sensing data monitoring system.

[0054] The specific process is:

[0055] Two groups of vehicle-mounted infrared gas telemetry devices are arranged in a sequential position, and a transmission cable is established between the two groups of vehicle-mounted infrared gas telemetry devices, so that the two groups of vehicle-mounted infrared gas telemetry devices can move synchronously, and at the same time, the two groups of vehicle-mounted infrared gas telemetry devices have independent vibration values ​​generated by different terrains;

[0056] The gas telemetry directions of the two sets of vehicle-mounted infrared gas telemetry devices are adjustable, so that the gas telemetry directions of the two sets of vehicle-mounted infrared gas telemetry devices are both oriented toward the same gas target point through adjustment;

[0057] A laser displacement sensor and a vibration sensor are respectively configured for the two groups of vehicle-mounted infrared gas remote sensing devices, so as to obtain vibration curves of the two groups of vehicle-mounted infrared gas remote sensing devices respectively generated by the influence of different terrains and multi-point amplitude values ​​corresponding to the vibration curves through the cooperation of the laser displacement sensor and the vibration sensor;

[0058] S2: According to the established flow infrared gas telemetry data monitoring system, two sets of vibration curves and two sets of dynamic gas telemetry images affected by different terrains are obtained based on the time axis fluidity.

[0059] The specific process is:

[0060] According to the established flow infrared gas telemetry data monitoring system, two groups of vehicle-mounted infrared gas telemetry equipment are arranged and driven to move synchronously along the line, and the two groups of vehicle-mounted infrared gas telemetry equipment are used to monitor the gas target flow, so as to obtain two groups of dynamic gas telemetry images respectively generated by different terrains through real-time telemetry, and at the same time, the two groups of vehicle-mounted infrared gas telemetry equipment are equipped with laser displacement sensors and vibration sensors respectively to obtain the real-time dynamic vibration curves respectively generated by the two groups of vehicle-mounted infrared gas telemetry equipment under the influence of different terrains and the multi-point amplitude values ​​corresponding to the vibration curves through flow monitoring;

[0061] S3: Differentiate the two sets of vibration curves based on the vibration frequency and the vibration amplitude.

[0062] The specific process is:

[0063] Please refer to Figure 2 , a standard amplitude difference threshold is preset, and several groups of amplitude difference values ​​corresponding to each time axis node of two groups of vibration curves are obtained by sequential comparison based on the time axis, and the amplitude difference value higher than the standard amplitude difference threshold is used as the actual amplitude monitoring difference value a, such as the actual amplitude monitoring difference value a caused by terrain convexity or concaveness, and the actual amplitude monitoring difference value a is further used as the basic reference data for calculating the monitoring efficiency by amplitude;

[0064] A standard frequency difference threshold is preset, and the low amplitude difference curve positions corresponding to the amplitude difference values ​​below the standard amplitude difference threshold in the two groups of vibration curves are screened, and further based on the time axis comparison, several groups of frequency difference values ​​corresponding to the low amplitude difference curve positions of the two groups of vibration curves are obtained, and the frequency difference values ​​above the standard frequency difference threshold are used as the actual frequency monitoring difference value b, such as the actual frequency monitoring difference value b generated when the landform changes from cement land to sand land, and the actual frequency monitoring difference value b is used as the basic reference data for calculating the monitoring efficiency based on the frequency;

[0065] S4: According to the difference division results of vibration frequency and vibration amplitude, two groups of gas telemetry images corresponding to the corresponding time axis nodes and for the same gas target point are obtained, and image difference calculation is performed.

[0066] The specific process is:

[0067] Please refer to Figure 3 , respectively obtain the time axis node t1 corresponding to the actual amplitude monitoring difference a and two sets of amplitude-affected gas telemetry images for the same gas target point, respectively fit a first outer rectangular frame based on the two sets of amplitude-affected gas telemetry images, and evenly divide and set a number of first difference calculation points x1, x2, x3, ..., x4 based on the first outer rectangular frame n , and then respectively calculate the spacing values ​​between the edge lines of the two groups of first outer rectangular frames and the outer edges of the target air masses in the images corresponding to the first difference calculation points, and further compare and calculate the spacing differences between the two groups of amplitude-affected gas telemetry images corresponding to the first difference calculation points, and take the absolute values ​​of the spacing differences corresponding to the first difference calculation points and then add them to obtain the image difference M affected by the actual amplitude monitoring difference a;

[0068] Please continue to refer to Figure 3 , respectively obtain the time axis node t2 corresponding to the actual frequency monitoring difference b and two sets of frequency-affected gas telemetry images for the same gas target point, fit a second outer rectangular frame based on the two sets of frequency-affected gas telemetry images, and evenly divide and set a number of second difference calculation points y1, y2, y3, ..., y n , and then respectively calculate the spacing values ​​between the edge lines of the two groups of second outer rectangular frames and the outer edge of the target air mass in the image corresponding to a number of second difference calculation points, and further compare and calculate the spacing difference between the two groups of frequency-affected gas telemetry images corresponding to a number of second difference calculation points, and take the absolute value of the spacing difference corresponding to a number of second difference calculation points and then add them to obtain the image difference N affected by the actual frequency monitoring difference b;

[0069] S5: The image difference is calculated with the vibration amplitude and the vibration frequency divided by the difference, so as to obtain the image telemetry efficiency data affected by the vibration amplitude and the image telemetry efficiency data affected by the vibration frequency.

[0070] The specific process is:

[0071] The image telemetry efficiency data D1 affected by the vibration amplitude is further calculated based on the image difference M affected by the actual amplitude monitoring difference a. The specific calculation formula is as follows:

[0072] D1=k · (M / a) (1)

[0073] Where k is the correction coefficient, a is the actual amplitude monitoring difference, and M is the image difference affected by the actual amplitude monitoring difference a;

[0074] The image telemetry efficiency data D2 affected by the vibration frequency is further calculated based on the image difference N affected by the actual vibration frequency monitoring difference b. The specific calculation formula is as follows:

[0075] D2=f·(N / b) (2)

[0076] Where f is the correction coefficient, b is the actual frequency monitoring difference, and N is the image difference affected by the actual frequency monitoring difference b.

[0077] Please refer to Figure 4 The embodiment of the present invention further provides a flow monitoring efficiency feedback system based on Fourier infrared gas telemetry, which includes:

[0078] A data monitoring system establishment module 10 is used to establish a mobile infrared gas remote sensing data monitoring system;

[0079] The vibration curve and image acquisition module 20 is used to acquire two sets of vibration curves and two sets of dynamic gas telemetry images respectively generated by different terrains based on the time axis fluidity according to the established fluid infrared gas telemetry data monitoring system;

[0080] The efficiency analysis module 30 is used to obtain image telemetry efficiency data affected by vibration amplitude and image telemetry efficiency data affected by vibration frequency based on comparison of two groups of vibration curves and two groups of dynamic gas telemetry images.

[0081] The efficiency analysis module 30 specifically includes:

[0082] A difference division unit 310 is used to perform difference division based on the vibration frequency and the vibration amplitude according to the two sets of vibration curves obtained;

[0083] The image difference calculation unit 320 is used to perform image difference calculation on two groups of gas telemetry images corresponding to the corresponding time axis nodes and the same gas target point according to the difference division results of the vibration frequency and the vibration amplitude;

[0084] The efficiency calculation unit 330 is used to calculate the vibration amplitude and the vibration frequency divided by the image difference, respectively, to obtain the image telemetry efficiency data affected by the vibration amplitude and the image telemetry efficiency data affected by the vibration frequency.

[0085] like Figure 5 As shown, the embodiment of the present invention also provides an electronic device 90, including: a processor 901 (processor), a memory 902 (memory) and an internal bus 903;

[0086] The processor 901 and the memory 902 communicate with each other via the internal bus 903;

[0087] The processor 901 is used to call the program instructions in the memory 902 to execute the methods provided by the above-mentioned method embodiments, for example, including: establishing a flow infrared gas telemetry data monitoring system; according to the established flow infrared gas telemetry data monitoring system, obtaining two groups of vibration curves and two groups of dynamic gas telemetry images respectively affected by different terrains based on the time axis fluidity; performing differential division based on the vibration frequency and vibration amplitude according to the two groups of vibration curves obtained; according to the differential division results of the vibration frequency and vibration amplitude, respectively obtaining two groups of gas telemetry images corresponding to the corresponding time axis nodes and for the same gas target point, and performing image difference calculation; by calculating the image difference with the differentially divided vibration amplitude and vibration frequency, respectively, the image telemetry efficiency data affected by the vibration amplitude and the image telemetry efficiency data affected by the vibration frequency are obtained.

[0088] The embodiment of the present invention also provides a non-transitory computer-readable storage medium, which stores computer instructions. The computer instructions enable the computer to execute the methods provided by the above-mentioned method embodiments, for example, including: establishing a flow infrared gas telemetry data monitoring system; according to the established flow infrared gas telemetry data monitoring system, obtaining two groups of vibration curves and two groups of dynamic gas telemetry images respectively affected by different terrains based on time axis fluidity; performing differential division based on vibration frequency and vibration amplitude according to the two groups of vibration curves obtained; according to the results of the differential division of vibration frequency and vibration amplitude, respectively obtaining two groups of gas telemetry images corresponding to corresponding time axis nodes and for the same gas target point, and performing image difference calculation; by calculating the image difference with the differentially divided vibration amplitude and vibration frequency, image telemetry efficiency data affected by the vibration amplitude and image telemetry efficiency data affected by the vibration frequency are obtained.

[0089] A person skilled in the art can understand that all or part of the steps of implementing the above method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiment; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk, etc., various storage media that can store program codes.

[0090] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0091] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.

[0092] Although the present invention has been described in detail above by general description and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements can be made to the present invention. Therefore, these modifications or improvements made without departing from the spirit of the present invention all belong to the scope of protection claimed by the present invention.

Claims

1. A flow monitoring efficiency feedback method based on Fourier infrared gas telemetry, characterized in that: The steps include: Establish a mobile infrared gas telemetry data monitoring system; specifically, the system includes: configuring two groups of vehicle-mounted infrared gas telemetry equipment in a sequential position, and establishing a transmission cable between the two groups of vehicle-mounted infrared gas telemetry equipment, so that the two groups of vehicle-mounted infrared gas telemetry equipment can move synchronously, and at the same time, the two groups of vehicle-mounted infrared gas telemetry equipment have independent vibration values ​​caused by different terrains; adjusting the gas telemetry directions of the two groups of vehicle-mounted infrared gas telemetry equipment to face the same gas target point; configuring laser displacement sensors and vibration sensors for the two groups of vehicle-mounted infrared gas telemetry equipment, respectively, so as to obtain the vibration curves of the two groups of vehicle-mounted infrared gas telemetry equipment caused by different terrains and the multi-point amplitude values ​​corresponding to the vibration curves through the cooperation of the laser displacement sensors and the vibration sensors; According to the established flow infrared gas telemetry data monitoring system, two groups of vibration curves and two groups of dynamic gas telemetry images respectively generated by the influence of different terrains are obtained based on the time axis fluidity; specifically including: according to the established flow infrared gas telemetry data monitoring system, two groups of vehicle-mounted infrared gas telemetry equipment are arranged and driven to move synchronously, and the gas target is monitored by the fluidity of the two groups of vehicle-mounted infrared gas telemetry equipment, so as to obtain two groups of dynamic gas telemetry images respectively generated by the influence of different terrains by real-time telemetry, and at the same time, the real-time dynamic vibration curves and multi-point amplitude values ​​corresponding to the vibration curves of the two groups of vehicle-mounted infrared gas telemetry equipment respectively generated by the influence of different terrains are obtained by the fluidity monitoring of the laser displacement sensors and vibration sensors respectively configured on the two groups of vehicle-mounted infrared gas telemetry equipment; The two groups of vibration curves obtained are divided based on the vibration frequency and the vibration amplitude; specifically, the following steps are performed: presetting a standard amplitude difference threshold, sequentially comparing the two groups of vibration curves based on the time axis to obtain several groups of amplitude difference values ​​corresponding to each time axis node, and using the amplitude difference value higher than the standard amplitude difference threshold as the actual amplitude monitoring difference value a, and further using the actual amplitude monitoring difference value a as the basic reference data for calculating the monitoring efficiency by amplitude; presetting a standard frequency difference threshold, screening the low amplitude difference curve positions corresponding to the amplitude difference values ​​lower than the standard amplitude difference threshold in the two groups of vibration curves, and further obtaining several groups of frequency difference values ​​corresponding to the low amplitude difference curve positions of the two groups of vibration curves based on the time axis comparison, using the frequency difference value higher than the standard frequency difference threshold as the actual frequency monitoring difference value b, and using the actual frequency monitoring difference value b as the basic reference data for calculating the monitoring efficiency by frequency; According to the difference division results of vibration frequency and vibration amplitude, two groups of gas telemetry images corresponding to the corresponding time axis nodes and the same gas target point are obtained, and image difference calculation is performed; The image difference is calculated with the vibration amplitude and vibration frequency divided by the difference, and the image telemetry efficiency data affected by the vibration amplitude and the image telemetry efficiency data affected by the vibration frequency are obtained.

2. The flow monitoring efficiency feedback method based on Fourier infrared gas telemetry according to claim 1 is characterized in that: According to the difference division results of the vibration frequency and the vibration amplitude, two groups of gas telemetry images corresponding to the corresponding time axis nodes and aimed at the same gas target point are respectively obtained, and image difference calculation is performed, which specifically includes: The time axis node t1 corresponding to the actual amplitude monitoring difference a and two sets of amplitude-affected gas telemetry images for the same gas target point are respectively obtained, a first outer rectangular frame is respectively fitted based on the two sets of amplitude-affected gas telemetry images, and a number of first difference calculation points x1, x2, x3, ..., x4 are evenly divided based on the first outer rectangular frame. n , and then respectively calculate the spacing values ​​between the edge lines of the two groups of first outer rectangular frames and the outer edges of the target air masses in the images corresponding to the first difference calculation points, and further compare and calculate the spacing differences between the two groups of amplitude-affected gas telemetry images corresponding to the first difference calculation points, and take the absolute values ​​of the spacing differences corresponding to the first difference calculation points and then add them to obtain the image difference M affected by the actual amplitude monitoring difference a; The time axis node t2 corresponding to the actual frequency monitoring difference b is obtained respectively, and two sets of frequency-affected gas telemetry images for the same gas target point are fitted with a second outer rectangular frame based on the two sets of frequency-affected gas telemetry images, and a number of second difference calculation points y1, y2, y3, ..., y are evenly divided based on the second outer rectangular frame. n , and then respectively calculate the spacing values ​​between the edges of the two groups of second outer rectangular frames and the outer edges of the target air masses in their images corresponding to a number of second difference calculation points, and further compare and calculate the spacing differences between the two groups of frequency-affected gas telemetry images corresponding to a number of second difference calculation points, take the absolute values ​​of the spacing differences corresponding to a number of second difference calculation points and then add them to obtain the image difference N affected by the actual frequency monitoring difference b.

3. The flow monitoring efficiency feedback method based on Fourier infrared gas telemetry according to claim 2 is characterized in that: The image difference is calculated with the vibration amplitude and vibration frequency divided by the difference, and the image telemetry efficiency data affected by the vibration amplitude and the image telemetry efficiency data affected by the vibration frequency are obtained, which specifically includes: The image telemetry efficiency data D1 affected by the vibration amplitude is further calculated based on the image difference M affected by the actual amplitude monitoring difference a. The specific calculation formula is as follows: D1= k · (M / a) (1) Where k is the correction coefficient, a is the actual amplitude monitoring difference, and M is the image difference affected by the actual amplitude monitoring difference a; The image telemetry efficiency data D2 affected by the vibration frequency is further calculated based on the image difference N affected by the actual vibration frequency monitoring difference b. The specific calculation formula is as follows: D2 = f · (N / b) (2) Where f is the correction coefficient, b is the actual frequency monitoring difference, and N is the image difference affected by the actual frequency monitoring difference b.

4. A flow monitoring efficiency feedback system based on Fourier infrared gas telemetry, characterized in that: Used to implement the flow monitoring efficiency feedback method according to any one of claims 1 to 3, the flow monitoring efficiency feedback system comprises: Data monitoring system establishment module, used to establish a mobile infrared gas telemetry data monitoring system; A vibration curve and image acquisition module is used to acquire two sets of vibration curves and two sets of dynamic gas telemetry images respectively generated by different terrains based on the time axis fluidity according to the established fluid infrared gas telemetry data monitoring system; The efficiency analysis module is used to obtain image telemetry efficiency data affected by vibration amplitude and image telemetry efficiency data affected by vibration frequency based on comparison of two groups of vibration curves and two groups of dynamic gas telemetry images.

5. The flow monitoring efficiency feedback system based on Fourier infrared gas telemetry according to claim 4 is characterized in that: The efficiency analysis module specifically includes: A difference division unit, used for performing difference division based on vibration frequency and vibration amplitude according to the two sets of vibration curves obtained; An image difference calculation unit is used to perform image difference calculation on two groups of gas telemetry images corresponding to corresponding time axis nodes and for the same gas target point according to the difference division results of vibration frequency and vibration amplitude; The efficiency calculation unit is used to calculate the vibration amplitude and vibration frequency divided by the image difference respectively, to obtain the image telemetry efficiency data affected by the vibration amplitude and the image telemetry efficiency data affected by the vibration frequency.

6. An electronic device, characterized in that: include: At least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the steps of the method described in any one of claims 1 to 3.

7. A storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method described in any one of claims 1 to 3 are implemented.

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