CN111141460A - Equipment gas leakage monitoring system and method based on artificial intelligence sense organ - Google Patents
Equipment gas leakage monitoring system and method based on artificial intelligence sense organ Download PDFInfo
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- CN111141460A CN111141460A CN201911360561.1A CN201911360561A CN111141460A CN 111141460 A CN111141460 A CN 111141460A CN 201911360561 A CN201911360561 A CN 201911360561A CN 111141460 A CN111141460 A CN 111141460A
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/04—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
- G01M3/24—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point using infrasonic, sonic, or ultrasonic vibrations
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- G—PHYSICS
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/04—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
Abstract
The application discloses equipment gas leakage monitoring system and method based on artificial intelligence sense organ. The monitoring system comprises four parts of artificial intelligence olfaction, infrared imaging vision, ultrasonic detection hearing and mechanical vibration touch, and respectively corresponds to four phenomena of gas release, infrared radiation, sound wave diffusion and equipment vibration when gas leakage of chemical equipment occurs; by analyzing a gas leakage generating mechanism of chemical equipment, revealing characteristic laws of gas release, infrared radiation, sound wave diffusion, temperature deviation, equipment vibration and the like caused by an insulating gas leakage fault state, constructing an intelligent sensory system based on artificial intelligence visual and auditory information fusion by utilizing artificial intelligence olfactory sensation, infrared imaging vision, ultrasonic detection auditory sensation and mechanical vibration touch principles and combining an artificial intelligence mode identification algorithm, and obtaining a multi-mode gas leakage accurate identification and leakage accurate tracing method of the chemical equipment; the invention solves the problems of quantitative identification and leakage positioning of gas leakage.
Description
Technical Field
The invention belongs to the technology of accurate identification of gas leakage and accurate tracing of leakage in chemical equipment, and particularly relates to an equipment gas leakage monitoring system and method based on artificial intelligence sense organs.
Background
Because the loss caused by the faults of the gas leakage in the fields of pressure vessels, aerospace, gas, natural gas and the like is very important, the monitoring method for the gas leakage becomes a hot problem of domestic and foreign research, and the monitoring method for the gas leakage has extremely important significance.
There are several major leak monitoring methods currently in use for gas leak monitoring:
(1) an infrared imaging technology: and obtaining an infrared sensing image of the leakage area through an image processing algorithm by utilizing the difference between the temperature field of the leakage area and the temperature field of the peripheral area, thereby judging the occurrence of leakage. The technology can carry out leakage monitoring on a monitoring area in a large space range, but has the biggest defect that a reliable infrared image can be obtained only after very obvious leakage occurs, and the leakage early warning is very delayed.
(2) Magnetic leakage, ultrasonic wave and acoustic emission technologies: by correlating the defects of the container material with the magnetic field signal and the sound wave signal, the defects of the container wall, particularly the crack defects, can be detected. At present, the methods are mainly applied to leakage monitoring of the pressure container, but the methods are suitable for local defects of materials, and generally only can be overhauled after equipment is stopped, and online monitoring is difficult to realize, so that the method is difficult to monitor leakage in a large range.
(3) And (3) single-point monitoring and early warning of leaked gas medium: the existing leakage gas monitoring is based on single-point sensors based on principles of optics, electrochemistry and the like, although the sensors can detect concentration signals after obvious leakage occurs and give an alarm, the early leakage generates trace gas which is easy to interfere, and the traditional monitoring means has the defects of limited monitoring range, poor anti-interference capability of single-physical selection sensors, early warning lag and the like, so that the trace gas leakage at the early stage is difficult to accurately detect.
Many studies are made on gas leakage monitoring technology at home and abroad, but the gas leakage monitoring technology is generally limited to a specific single-layer monitoring means, such as monitoring the gas leakage position or leakage amount independently, and the like, and the disclosure and explanation of characteristic rules of gas release, infrared radiation, sound wave diffusion, temperature deviation, equipment vibration and the like caused in the gas leakage process are lacked.
Disclosure of Invention
In order to solve the problems in the prior art and improve the efficiency and reliability of gas leakage monitoring, the invention provides an equipment gas leakage monitoring system and method based on artificial intelligence sense organ. The system fully utilizes the principles of artificial intelligence olfaction, infrared imaging vision, ultrasonic detection hearing and mechanical vibration touch, combines with an artificial intelligence mode recognition algorithm, constructs an intelligent sensory system based on artificial intelligence olfaction, hearing and touch information fusion, and obtains a multi-mode gas leakage accurate recognition and leakage accurate tracing method for chemical equipment; a gas leakage generating mechanism of chemical equipment is established, and characteristic rules of gas release, infrared radiation, sound wave diffusion, temperature deviation, equipment vibration and the like caused by an insulating gas leakage fault state are disclosed.
In order to achieve the purpose, the invention adopts the technical means that:
an artificial intelligence sense based equipment gas leakage monitoring system comprising: the system comprises a calculation control center, an artificial intelligence olfactory module, an ultrasonic detection auditory module, an infrared imaging visual module and a mechanical vibration touch module;
the artificial intelligent olfaction module is used for collecting and monitoring target gas leakage accompanying trace volatile component concentration data, further analyzing and identifying the collected gas, obtaining analysis and identification information and then sending the analysis and identification information to the calculation control center for leakage state judgment;
the ultrasonic detection auditory module is used for acquiring ultrasonic signal data sent by monitoring target gas leakage, determining position and direction information of leakage through mode identification, and sending the obtained information to the calculation control center;
the infrared imaging vision module is used for acquiring infrared light information radiated by the leakage of the monitored target gas, carrying out image analysis and processing, then carrying out mode identification to obtain the related concentration and component information of the leaked gas, and sending the information to the calculation control center;
the mechanical vibration touch module is used for collecting and monitoring vibration signals of the equipment when gas leakage occurs, analyzing the signals through a vibration signal identification mode to obtain the leakage state of the equipment, and sending the leakage state to the calculation control center;
the calculation control center is used for calculating the leakage monitoring state, collecting and calculating information from other modules, analyzing and processing the information, and communicating with each module; the system is used for comparing the gas concentration component information obtained by the artificial intelligent olfaction module with the database model and calculating to obtain the components and the content of the leaked gas; analyzing and processing the infrared information obtained by the infrared imaging vision module to obtain a clear infrared image, displaying the clear infrared image, and judging the leakage range and supplementing the gas concentration component; amplifying and calculating an auditory signal obtained by ultrasonic detection auditory to accurately obtain the position of leakage; analyzing and comparing the vibration signals obtained by the mechanical vibration touch module, and qualitatively obtaining the severity of leakage and the current working state of the equipment; realize the qualitative, quantitative and positioning of the gas leakage state.
The artificial olfaction module comprises a sampling concentration device and an olfaction signal identification mode, wherein an enrichment gas chamber is arranged in the sampling concentration device, a filtering membrane is arranged on a port of the enrichment gas chamber, and a gas sensor array is arranged at the bottom of the enrichment gas chamber;
the artificial olfaction module automatically collects a gas sample in a monitoring area, and after the gas is enriched by the sampling concentration device, the gas sensor array responds to a specific gas component signal and inputs the specific gas component signal into the calculation control center;
and quantitatively analyzing the input concentration data by the olfactory signal identification mode to obtain the concentration value of the gas component to be detected and leaked in the gas component.
The gas sensor array consists of a plurality of sensors with different response performances; a plurality of sensors in the sensor array generate different response signals for trace gas components, and quantitative signals of monitoring gas components are output through a quantitative identification model of specific gas components established in an olfactory signal identification mode.
The ultrasonic detection auditory module comprises an ultrasonic detection sensor, a sound wave signal identification mode and a signal processing module;
the ultrasonic detection sensor is used for receiving ultrasonic signals generated during gas leakage, and analyzing input through a sound wave signal identification mode after signal amplification, filtering and the like are carried out through the signal processing module to determine the position of a leakage source;
the signal processing module comprises two amplifying circuits and a filter, ultrasonic signal amplification processing is carried out through the amplifying circuits, and noise reduction processing is carried out through the filter.
The infrared imaging vision module comprises an infrared camera device, an infrared image recognition mode and an image processing module, and the infrared camera device and the image processing module are connected with the infrared image recognition mode in series;
the infrared camera shooting device comprises a lens group, a grating, an optical imaging device and a data signal storage device, wherein the lens group is positioned at the most front end of the infrared camera shooting module; infrared light information radiated by a target to be detected is focused by a lens group at the front end of the camera module, then passes through the grating to obtain infrared spectrum information in a required wavelength range, and the infrared light sensing device positioned in the grating light transmission measurement converts the detected infrared light information into an electric signal, stores the electric signal and then transmits the electric signal to the signal processing module;
the image processing module is used for performing signal enhancement and amplification and background noise filtration on the information obtained by the infrared camera module;
the infrared image recognition mode has the functions of calculating the concentration of the leaked gas component and recognizing the gas concentration characteristic.
The mechanical vibration haptic module includes a vibration sensor and a vibration signal recognition pattern,
the vibration sensor receives equipment vibration signals generated at a leakage point when gas leaks, performs signal processing through a vibration signal identification mode, compares the processed signals with a leakage vibration model, and qualitatively gives a gas leakage state.
An equipment gas leakage monitoring method based on artificial intelligence sense comprises the following steps:
collecting and monitoring target gas leakage accompanying trace volatile component concentration data, further analyzing and identifying the collected gas, and judging a leakage state;
acquiring ultrasonic signal data sent by monitoring target gas leakage, and determining position and direction information of leakage through mode identification;
collecting infrared light information radiated by the leakage of the monitored target gas, carrying out image analysis and processing, and then carrying out mode identification to obtain the related concentration and component information of the leaked gas;
collecting and monitoring vibration signals of equipment when gas leakage occurs, and analyzing the signals through a vibration signal identification mode to obtain the leakage state of the equipment;
comparing the obtained gas concentration component information with a database model, and calculating to obtain the components and the content of the leaked gas; analyzing and processing the infrared information to obtain a clear infrared image and displaying the image, and judging the leakage range and supplementing the gas concentration component; amplifying and calculating the auditory signals to accurately obtain the position of leakage; analyzing and comparing the vibration signals to qualitatively obtain the severity of leakage and the current working state of the equipment; realize the qualitative, quantitative and positioning of the gas leakage state.
Specifically, the method comprises two stages of leakage monitoring and leakage occurrence;
when leakage monitoring is carried out:
the collected and analyzed concentration component information is subjected to data comparison, whether the concentration of the gas leaked in the air is abnormal or not is judged, a gas concentration change trend graph is generated, the concentration trend of the gas easy to leak in the target environment is obtained, and leakage risk assessment is carried out;
comparing and judging whether the frequency spectrum of the ultrasonic signal in the air is abnormal or not, accumulating the variation range of the ultrasonic signal in the target environment under normal conditions, and further strengthening a leakage risk evaluation system;
the obtained infrared imaging vision module is used for monitoring and identifying infrared signals in a target environment uninterruptedly and acquiring temperature information of dangerous parts of equipment in real time;
monitoring a vibration signal of the equipment through a preset vibration sensor, judging whether the vibration of each main part of the equipment is abnormal or not, collecting vibration frequency spectrum information of each main part of the equipment, and realizing the estimation of the normal working vibration occurrence range of the equipment and the evaluation of abnormal vibration risk;
when leakage occurs:
collecting and monitoring target gas leakage accompanying trace volatile component signals, and analyzing and identifying gas component and concentration information; meanwhile, collecting, extracting, amplifying and identifying leakage ultrasonic signals generated by leakage, and obtaining the specific position of the leakage by an analysis and calculation method; meanwhile, infrared light signals of leaked gas generated in a target environment are identified and collected, and after signal enhancement and noise elimination, the concentration and diffusion range of the gas are further identified and calculated; meanwhile, a vibration signal generated by equipment vibration caused by gas leakage is obtained, the processed signal is identified and analyzed, a gas leakage vibration generation model is compared, and the gas leakage state and the leakage degree of the equipment are qualitatively obtained.
Compared with the prior art, the invention has the advantages that:
the invention relates to an equipment gas leakage identification and monitoring system, which is based on an artificial intelligent sensory gas leakage detection and identification technology of a gas sensor array, infrared imaging, ultrasonic detection and a mode identification algorithm and respectively corresponds to four phenomena of gas release, infrared radiation, sound wave diffusion and equipment vibration when gas leakage of chemical equipment occurs; by analyzing a gas leakage generating mechanism of chemical equipment, revealing characteristic laws of gas release, infrared radiation, sound wave diffusion, temperature deviation, equipment vibration and the like caused by an insulating gas leakage fault state, constructing an intelligent sensory system based on artificial intelligence visual and auditory information fusion by utilizing artificial intelligence olfactory sensation, infrared imaging vision, ultrasonic detection auditory sensation and mechanical vibration touch principles and combining an artificial intelligence mode identification algorithm, and obtaining a multi-mode gas leakage accurate identification and leakage accurate tracing method of the chemical equipment; the problems of quantitative identification and leakage positioning of gas leakage in the operation process of chemical equipment are solved, and then a dynamic risk evaluation mechanism for operation of the chemical equipment is constructed, so that the purposes of dynamic risk evaluation, life prediction, risk disposal and the like for operation of the chemical equipment are achieved.
The invention provides an artificial intelligence sensory leakage monitoring method, which integrates smell, infrared vision, sound wave hearing and mechanical vibration touch perception information in a gas leakage process, constructs an equipment leakage fault multi-mode accurate identification and accurate positioning method based on multi-source heterogeneous data and intelligent mode identification algorithm driving, and solves the problem of difficult online monitoring and positioning of gas leakage. The invention utilizes an artificial intelligent sensory leakage monitoring means, integrates olfactory, visual, auditory and tactile sensors and a pattern recognition algorithm to carry out leakage recognition, can establish an equipment operation dynamic risk evaluation mechanism, and realizes the purposes of chemical equipment operation dynamic risk evaluation, service life prediction, risk disposal and the like. The method has the following specific advantages:
(1) the invention integrates olfactory, visual, auditory and tactile sensors and a pattern recognition algorithm to carry out leakage recognition, has high recognition precision, wide range and comprehensive and accurate result, can realize accurate gas leakage recognition and accurate leakage tracing, and solves the problem of difficult online monitoring and positioning of gas leakage.
(2) And evaluating the service life condition of the equipment according to the monitoring result, and making a reasonable overhaul plan to avoid the unplanned shutdown of the equipment caused by leakage in operation, thereby reducing loss.
(3) The invention has wide application range, can be used for monitoring various gas leakage faults, evaluating risks and predicting the service life of various industries such as chemical industry, photoelectric industry, traditional manufacturing industry and the like, has wide application prospect and has strong popularization value
Drawings
FIG. 1 is a diagram of a study protocol of the present invention; wherein 1, the system calculates a control center; 2 is an artificial intelligent olfaction module; 3, an ultrasonic detection hearing module; 4, an infrared imaging vision module; 5 is a mechanical vibration tactile module;
FIG. 2 is a schematic view of the monitoring system of the present invention;
FIG. 3 is a block diagram of the signal processing module of the hearing system for ultrasonic detection according to the present invention, including an ultrasonic probe, a pre-amplifier, a filter, a post-amplifier, and a signal processing method;
FIG. 4 is a flow chart of the monitoring system operation of the present invention;
FIG. 5 is a structural diagram of an artificial intelligence olfactory module sampling and concentrating device of the present invention;
fig. 6 is a composition diagram of an infrared imaging vision system according to the present invention, which includes an infrared camera, an image processing module, and a pattern recognition method.
Detailed Description
The present invention will now be described in further detail with reference to the following examples and drawings, which are intended to be illustrative rather than restrictive.
The invention relates to an equipment gas leakage identification monitoring system which is composed of four parts of artificial intelligence olfaction, infrared imaging vision, ultrasonic detection hearing and mechanical vibration touch. The artificial intelligence olfaction is that odor molecules are adsorbed by a sensor array in an artificial olfaction system to generate signals, electric signals generated by the sensor are amplified by an electronic circuit and converted into digital signals by A/D (analog/digital) and input into a computer, the signals output by the sensor array are collected, processed and processed by special software and then compared with known information collected after artificial learning and training, and finally, relevant composition information of leaked gas is obtained; the infrared imaging vision is characterized in that the infrared imaging vision utilizes the characteristics of infrared light, namely when the infrared light with continuous wavelengths passes through a substance, the light with certain wavelengths is absorbed to form a specific infrared absorption spectrum, the working waveband is adjusted to the wavelength range containing leaked gas through a filter, so that normally invisible gas is different from a background image and is clearly visible on a viewfinder of an instrument; the ultrasonic detection hearing is realized by generating turbulence or jet flow at the leakage point of the container when gas leaks to generate vortex, and the vortex is converted into ultrasonic waves which can be identified by the sound wave detection device; the mechanical vibration touch sense is that the leakage point is positioned and risk is processed by utilizing equipment vibration caused by a gas leakage fault state and collecting and identifying vibration state characteristics and the like through tools such as a vibration sensor and the like.
The gas leakage calculation control center is used for receiving a starting signal, starting to execute a leakage monitoring task and collecting information from other modules;
the artificial intelligent olfaction module is used for collecting and monitoring target gas leakage accompanying trace volatile component concentration data and transmitting the data to the gas leakage calculation control center; the artificial olfaction module comprises a sampling concentration device and a mode identification module, wherein an enrichment gas chamber is arranged in the sampling concentration device, a filtering membrane is arranged on a port of the enrichment gas chamber, and a gas sensor array is arranged at the bottom of the enrichment gas chamber; the artificial olfaction module automatically collects a gas sample in a monitoring area, and after the gas is enriched by the sampling concentration device, the gas sensor array responds to a specific gas component signal and inputs the specific gas component signal into a gas leakage calculation control center; and quantitatively analyzing the input concentration data by the olfactory signal identification mode to obtain the concentration value of the gas component to be detected and leaked in the gas component. The artificial intelligence olfaction module, the gas sensor array is made up of a plurality of sensors with different response performance; a plurality of sensors in the sensor array generate different response signals for trace gas components, and quantitative signals of monitoring gas components are output through a quantitative identification model of specific gas components established by a mode identification method.
The ultrasonic detection hearing module is used for collecting ultrasonic signal data sent by monitoring target gas leakage and transmitting the ultrasonic signal data to the gas leakage calculation control center; the ultrasonic detection sensor is used for receiving ultrasonic signals generated when gas leaks, amplifying the signals through the signal processing module, analyzing the input through leakage source positioning identification after filtering, and determining the position of a leakage source; the signal processing module comprises two amplifying circuits and a filter, ultrasonic signal amplification processing is carried out through the amplifying circuits, and noise reduction processing is carried out through the filter.
The infrared imaging vision module is used for acquiring infrared light information radiated by the monitored target gas leakage, and transmitting the infrared light information to the gas leakage calculation control center after image analysis and processing; the infrared imaging visual module comprises an infrared camera device, an image processing module and a mode identification method, wherein the three functional modules are connected in series, and data are transmitted step by step among different functional modules in the device; the infrared camera equipment comprises a lens group, a grating, an optical imaging device and a data signal storage device, optical signal transmission is carried out between the lens group and the grating, the lens group is positioned at the most front end of the infrared camera module, infrared light information radiated by a target to be detected is focused by the lens group at the front end of the camera module and penetrates through the grating to obtain infrared spectrum information in a required wavelength range, and the infrared sensor positioned at the grating for light transmission converts the detected infrared light information into an electric signal and transmits the electric signal to the signal processing module after the electric signal is stored; the image processing module is used for performing signal enhancement and amplification and background noise filtration on the information obtained by the infrared camera module; the function of the pattern recognition method is to calculate the concentration of the leaking gas component, and to recognize the gas concentration characteristics.
The mechanical vibration touch module is used for collecting and monitoring vibration signals of equipment when gas leakage occurs and transmitting the vibration signals to the gas leakage calculation control center; the vibration sensor receives equipment vibration signals generated at a leakage point when gas leaks, performs signal processing through a mode recognition method, compares the processed signals with a leakage vibration model, and qualitatively gives the state of gas leakage.
The invention is described in detail below with reference to the accompanying drawings:
as shown in fig. 1, the present invention is mainly composed of five parts: the system comprises a calculation control center 1, an artificial intelligence smell module 2, an ultrasonic detection hearing module 3, an infrared imaging vision module 4 and a mechanical vibration touch module 5.
The main functions of each part are as follows: the calculation control center 1 is responsible for processing, analyzing, connecting and integrating data of each module; the artificial intelligence olfaction module 2 is responsible for collecting the leaked gas and analyzing and identifying the concentration and the component of the collected gas data; the ultrasonic detection auditory module 3 is responsible for collecting ultrasonic signals generated by gas leakage, analyzing the frequency spectrum characteristics of the ultrasonic signals and obtaining the position distance information of the leakage; the infrared imaging vision module 4 collects, processes and analyzes infrared signals generated by the leaked gas to obtain information such as the concentration, the diffusion range and the like of the leaked gas; the mechanical vibration touch module 5 collects, analyzes and compares equipment vibration signals caused by gas leakage, and qualitatively obtains a gas leakage state;
as shown in fig. 2, the monitoring principle of the present invention is: when gas leakage occurs, four physical phenomena of gas release, infrared radiation, sound wave diffusion and equipment vibration are generated; on the basis of analyzing four phenomena, the invention provides an all-round monitoring and identifying system which integrates artificial intelligence olfaction, infrared imaging vision, ultrasonic detection hearing and mechanical vibration touch, and corresponding signal acquisition, processing and analysis are carried out on each phenomenon; for gas release.
Firstly, collecting leaked gas through a sampling concentration device, further analyzing and identifying information such as concentration, components and the like of the collected gas, and sending the obtained related information to a calculation control center for judging a leakage state;
for infrared radiation, when infrared light with continuous wavelengths passes through a substance, light with certain wavelengths is absorbed to form a specific infrared absorption spectrum, a working waveband is adjusted to a wavelength range containing leaked gas through a filter, normally invisible gas is different from a background image and is clearly visible on a viewfinder of an instrument, so that an infrared signal sent by the leaked gas can be collected through an infrared image signal acquisition device, then image enhancement, background noise reduction and other processing are carried out, pattern recognition is carried out on the information to obtain related concentration and component information of the leaked gas, and finally the information is sent to a calculation control center for summary analysis;
for sound wave diffusion, turbulence or jet flow is generated at the position of a leakage point of a container when gas leaks, further vortex is generated, the vortex is converted into ultrasonic waves and can be identified by a sound wave detection device, according to the principle, ultrasonic signals generated by leakage can be collected and processed through an ultrasonic sensor, then position and direction information of the leakage is determined through a mode identification method, and the obtained information is sent to a calculation control center for summary processing;
for equipment vibration, when leakage occurs, high-speed jet flow is sprayed outwards from a leakage hole by gas with certain pressure to excite and rub the wall of the hole, and the wall surface of the leakage hole is excited to vibrate, so that a vibration signal generated during leakage can be collected by a vibration sensor, the signal is analyzed in a vibration signal identification mode to obtain the leakage state of the equipment, and the leakage state is sent to a calculation control center for summary analysis.
As shown in fig. 3, the signal processing module of the auditory system for ultrasonic detection is composed of an ultrasonic probe, a preamplifier, a filter and a post-amplifier; because the ultrasonic strength emitted by small-hole gas leakage is extremely weak and the environmental noise is too large in industrial occasions, special processing needs to be carried out on generated signals; the ultrasonic probe is used for receiving ultrasonic signals in a target area, transmitting the collected signals to the preamplifier for primary amplification, filtering out background noise through the filter, then compensating for power consumption increased by the filter through the secondary amplifier, and transmitting the obtained signals to the sound wave signal identification mode for leakage mode identification.
As shown in fig. 4, the general process of the monitoring system of the present invention is as follows:
and the calculation control center receives the starting signal, starts to execute the leakage monitoring state, collects and calculates information from other modules, analyzes and processes the information, and communicates with each module. After the system is started, the artificial intelligent olfaction module 2 collects the air in the target environment at intervals through the sampling concentration device and analyzes the concentration component information of the air, transmits the information to the calculation control center for data comparison, judges whether the concentration of the leaked gas in the air is abnormal or not, generates a gas concentration change trend chart, grasps the concentration trend of the gas easy to leak in the target environment, and carries out leakage risk assessment; the ultrasonic detection hearing module collects and analyzes ultrasonic signals in a target environment through ultrasonic sensors arranged at different positions, compares and judges whether an ultrasonic signal frequency spectrum in the air is abnormal or not, accumulates the change range of the ultrasonic signals in the target environment under a normal condition, and further strengthens a leakage risk assessment system; the infrared imaging vision module carries out uninterrupted monitoring and identification on infrared signals in a target environment and acquires temperature information of dangerous parts of equipment in real time; the mechanical vibration touch module 5 monitors a vibration signal of the equipment through a preset vibration sensor, judges whether the vibration of each main part of the equipment is abnormal or not, collects vibration frequency spectrum information of each main part of the equipment, and realizes the estimation of the normal working vibration occurrence range of the equipment and the evaluation of abnormal vibration risk.
When leakage occurs, the artificial intelligent olfaction module 2 collects and monitors target gas leakage accompanying trace volatile component signals, analyzes and identifies gas component and concentration information, and transmits the gas component and concentration information to the unmanned flight calculation control center; meanwhile, the ultrasonic detection hearing module 3 collects, extracts, amplifies and identifies the leakage ultrasonic signals generated by leakage, and obtains the specific position of the leakage by an analysis and calculation method; meanwhile, the infrared imaging vision module 4 identifies and collects infrared light signals of leaked gas generated in a target environment through infrared camera equipment, and further identifies and calculates information such as gas concentration, diffusion range and the like after signal enhancement and noise elimination; meanwhile, the mechanical vibration tactile module 5 synchronously carries out vibration signals generated by equipment vibration caused by gas leakage, and compares a gas leakage vibration generation model through identifying and analyzing the processed signals to qualitatively obtain the gas leakage state and the leakage degree of the equipment.
As shown in fig. 5, the sampling concentration device 200 implements filtration and concentration of a gas sample, and its structure mainly includes a filtration membrane 201 and a concentration gas chamber 202. The sensor array 203 is located at the bottom of the sampling concentration device 200 and is composed of 4 sensors 204 with different response performances, as shown in 203 in fig. 5. Each group of sensor array is composed of a, b, c and d 4 gas sensors with different response characteristics, can respond to gas components to be detected below 1ppm, and is shown in the composition structures of fig. 5-203 and 204. After the gas to be detected is sampled and enriched, 4 sensors in the sensor array 203 generate different response signals for trace gas components, and quantitative signals of the monitored gas components are output through a quantitative identification model of specific gas components established by a pattern identification algorithm.
As shown in fig. 6, the infrared imaging vision module includes an infrared camera, an image processing module and a pattern recognition method, the three functional modules are connected in series, and data is transmitted stage by stage between different functional modules in the device; the infrared camera device comprises a lens group, a grating, an optical imaging device and a data signal storage device, wherein optical signals are transmitted between the lens group and the grating, the lens group is positioned at the most front end of the infrared camera module, infrared light information radiated by a target to be detected is focused by the lens group at the front end of the camera module and penetrates through the grating to obtain infrared spectrum information in a required wavelength range, and the infrared sensor positioned at the grating for transmission light converts the detected infrared light information into an electric signal and transmits the electric signal to the signal processing module after storing the electric signal; the image processing module is used for carrying out signal enhancement and amplification and background noise filtration on the information obtained by the infrared camera module, and the processed signal determines the relevant information such as the composition and concentration of the leaked gas by a mode identification method.
The artificial intelligence smell module, the ultrasonic detection hearing module, the infrared imaging vision module and the mechanical vibration touch module are synchronously carried out, are not in sequence and are mutually complementary; the calculation control center receives the information of the four monitoring modules for synchronous analysis and summary processing; comparing the gas concentration component information obtained by the artificial intelligence olfaction module with a database model, and calculating to obtain the components and the content of the leaked gas; analyzing and processing the infrared information obtained by the infrared imaging vision module to obtain a clear infrared image, displaying the clear infrared image on a display screen, and judging the leakage range and supplementing the gas concentration component; amplifying and calculating an auditory signal obtained by ultrasonic detection auditory, accurately obtaining the position of leakage, and guiding subsequent repair and investigation; analyzing and comparing vibration signals obtained by mechanical vibration touch, qualitatively obtaining the severity of leakage and the current working state of the equipment, and providing effective reference information for rush repair and processing work; the full-state information of the gas leakage of the equipment is obtained through analysis, identification, calculation and synthesis of signals of different modules, the gas leakage state is obtained qualitatively, quantitatively and in a positioning mode, the problems of incomplete information, inaccurate argument, fuzzy state and the like under a single monitoring means are solved, the early discovery of the leakage is realized, the leakage amount is known early, the accurate positioning of leakage points is realized, the gas leakage full-period monitoring overall planning of scientific and safe processing means is realized, an example data model of the leakage occurrence is obtained, and a leakage early warning guarantee system is established.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and all simple modifications, changes and equivalent structural changes made to the above embodiment according to the technical spirit of the present invention still fall within the protection scope of the technical solution of the present invention.
Claims (8)
1. An equipment gas leakage monitoring system based on artificial intelligence sense organ, characterized by comprising: the system comprises a calculation control center (1), an artificial intelligence smell module (2), an ultrasonic detection auditory module (3), an infrared imaging visual module (4) and a mechanical vibration touch module (5);
the artificial intelligent olfaction module (2) is used for collecting and monitoring target gas leakage accompanying trace volatile component concentration data, further analyzing and identifying the collected gas, obtaining analysis and identification information and then sending the analysis and identification information to the calculation control center (1) for leakage state judgment;
the ultrasonic detection auditory module (3) is used for acquiring ultrasonic signal data sent by monitoring target gas leakage, determining position and direction information of leakage through mode identification, and sending the obtained information to the calculation control center (1);
the infrared imaging vision module (4) is used for acquiring infrared light information radiated by the leakage of the monitored target gas, carrying out image analysis and processing, then carrying out mode recognition to obtain the related concentration and component information of the leaked gas, and sending the information to the calculation control center (1);
the mechanical vibration touch module (5) is used for collecting and monitoring vibration signals of equipment when gas leakage occurs, analyzing the signals through a vibration signal identification mode to obtain the leakage state of the equipment, and sending the leakage state to the calculation control center (1);
the calculation control center (1) is used for calculating and executing a leakage monitoring state, collecting and calculating information from other modules, analyzing and processing the information, and communicating with each module; the system is used for comparing the gas concentration component information obtained by the artificial intelligent olfaction module with the database model and calculating to obtain the components and the content of the leaked gas; analyzing and processing the infrared information obtained by the infrared imaging vision module to obtain a clear infrared image, displaying the clear infrared image, and judging the leakage range and supplementing the gas concentration component; amplifying and calculating an auditory signal obtained by ultrasonic detection auditory to accurately obtain the position of leakage; analyzing and comparing the vibration signals obtained by the mechanical vibration touch module, and qualitatively obtaining the severity of leakage and the current working state of the equipment; realize the qualitative, quantitative and positioning of the gas leakage state.
2. The artificial intelligence sense-based equipment gas leakage monitoring system according to claim 1, wherein the artificial smell module (2) comprises a sampling concentration device (200) and a smell signal recognition mode (205), an enrichment gas chamber (202) is arranged inside the sampling concentration device (200), a filter membrane (201) is arranged on a port of the enrichment gas chamber (202), and a gas sensor array (203) is arranged at the bottom of the enrichment gas chamber (202);
the artificial olfaction module (2) automatically collects a gas sample in a monitoring area, and after the gas is enriched by the sampling concentration device (200), the gas sensor array (203) responds to a specific gas component signal and inputs the specific gas component signal into the calculation control center (1);
and the olfactory signal recognition mode (205) carries out quantitative analysis on the input concentration data to obtain the concentration value of the gas component to be detected and leaked in the gas component.
3. The artificial intelligence based sensory equipment gas leak monitoring system of claim 2, wherein the gas sensor array (203) is comprised of a plurality of sensors of different response performance; a plurality of sensors in the sensor array (203) generate different response signals for trace gas components, and quantitative signals of monitoring gas components are output through a quantitative recognition model of specific gas components established by an olfactory signal recognition mode (205).
4. The artificial intelligence sense-based equipment gas leak monitoring system according to claim 1, wherein the ultrasonic detection hearing module (3) includes an ultrasonic detection sensor (300), a sonic signal recognition mode (301), and a signal processing module (302);
the ultrasonic detection sensor (300) is used for receiving ultrasonic signals generated when gas leaks, and analyzing input through a sound wave signal identification mode (301) after signal amplification, filtering and other processing are carried out through a signal processing module (302) to determine the position of a leakage source;
the signal processing module (302) comprises two amplifying circuits and a filter, ultrasonic signal amplification processing is carried out through the amplifying circuits, and noise reduction processing is carried out through the filter.
5. The artificial intelligence sense-based equipment gas leakage monitoring system according to claim 1, wherein the infrared imaging vision module (4) comprises an infrared camera device (400), an infrared image recognition mode (401) and an image processing module (402), the infrared camera device (400), the image processing module (402) and the infrared image recognition mode (401) are connected in series;
the infrared camera device (400) comprises a lens group, a grating, an optical imaging device and a data signal storage device, wherein the lens group is positioned at the foremost end of the infrared camera module; infrared light information radiated by a target to be detected is focused by a lens group at the front end of the camera module, then passes through the grating to obtain infrared spectrum information in a required wavelength range, and the infrared light sensing device positioned in the grating light transmission measurement converts the detected infrared light information into an electric signal, stores the electric signal and then transmits the electric signal to the signal processing module;
the image processing module (402) is used for performing signal enhancement and amplification and background noise filtration on the information obtained by the infrared camera module;
the infrared image recognition mode (401) functions to calculate the concentration of the leaking gas component, and recognize the gas concentration characteristic.
6. The artificial intelligence sense-based equipped gas leak monitoring system according to claim 1, wherein the mechanical vibration haptic module (5) includes a vibration sensor (500) and a vibration signal recognition pattern (501),
the vibration sensor (500) receives equipment vibration signals generated at a leakage point when gas leaks, performs signal processing through a vibration signal identification mode (501), compares the signal with a leakage vibration model, and qualitatively gives the gas leakage state.
7. An equipment gas leakage monitoring method based on artificial intelligence sense is characterized by comprising the following steps:
collecting and monitoring target gas leakage accompanying trace volatile component concentration data, further analyzing and identifying the collected gas, and judging a leakage state;
acquiring ultrasonic signal data sent by monitoring target gas leakage, and determining position and direction information of leakage through mode identification;
collecting infrared light information radiated by the leakage of the monitored target gas, carrying out image analysis and processing, and then carrying out mode identification to obtain the related concentration and component information of the leaked gas;
collecting and monitoring vibration signals of equipment when gas leakage occurs, and analyzing the signals through a vibration signal identification mode to obtain the leakage state of the equipment;
comparing the obtained gas concentration component information with a database model, and calculating to obtain the components and the content of the leaked gas; analyzing and processing the infrared information to obtain a clear infrared image and displaying the image, and judging the leakage range and supplementing the gas concentration component; amplifying and calculating the auditory signals to accurately obtain the position of leakage; analyzing and comparing the vibration signals to qualitatively obtain the severity of leakage and the current working state of the equipment; realize the qualitative, quantitative and positioning of the gas leakage state.
8. The artificial intelligence sensory-based equipment gas leakage monitoring method according to claim 7, characterized by specifically comprising two stages of leakage monitoring and leakage occurrence;
when leakage monitoring is carried out:
the collected and analyzed concentration component information is subjected to data comparison, whether the concentration of the gas leaked in the air is abnormal or not is judged, a gas concentration change trend graph is generated, the concentration trend of the gas easy to leak in the target environment is obtained, and leakage risk assessment is carried out;
comparing and judging whether the frequency spectrum of the ultrasonic signal in the air is abnormal or not, accumulating the variation range of the ultrasonic signal in the target environment under normal conditions, and further strengthening a leakage risk evaluation system;
the obtained infrared imaging vision module is used for monitoring and identifying infrared signals in a target environment uninterruptedly and acquiring temperature information of dangerous parts of equipment in real time;
monitoring a vibration signal of the equipment through a preset vibration sensor, judging whether the vibration of each main part of the equipment is abnormal or not, collecting vibration frequency spectrum information of each main part of the equipment, and realizing the estimation of the normal working vibration occurrence range of the equipment and the evaluation of abnormal vibration risk;
when leakage occurs:
collecting and monitoring target gas leakage accompanying trace volatile component signals, and analyzing and identifying gas component and concentration information; meanwhile, collecting, extracting, amplifying and identifying leakage ultrasonic signals generated by leakage, and obtaining the specific position of the leakage by an analysis and calculation method; meanwhile, infrared light signals of leaked gas generated in a target environment are identified and collected, and after signal enhancement and noise elimination, the concentration and diffusion range of the gas are further identified and calculated; meanwhile, a vibration signal generated by equipment vibration caused by gas leakage is obtained, the processed signal is identified and analyzed, a gas leakage vibration generation model is compared, and the gas leakage state and the leakage degree of the equipment are qualitatively obtained.
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