CN104122039A

CN104122039A - Olefin gas leakage monitoring system and method thereof

Info

Publication number: CN104122039A
Application number: CN201310148131.XA
Authority: CN
Inventors: 孟思齐; 张力; 黄晓家; 陈祥初; 王明会; 王军
Original assignee: GR APPLICATION TECHNOLOGY Co Ltd
Current assignee: GR APPLICATION TECHNOLOGY Co Ltd
Priority date: 2013-04-25
Filing date: 2013-04-25
Publication date: 2014-10-29
Anticipated expiration: 2033-04-25
Also published as: CN104122039B

Abstract

An olefin gas leakage monitoring system and a method thereof. The monitoring system contains a detection unit for detecting and imaging an area to be detected, an analytical unit, a control and drive unit and an alarm unit. The detection unit contains an infrared thermal imager which contains an olefin gas recognizer. The analytical unit contains an image preanalysis module and an image qualitative analysis module, wherein the image preanalysis module is used for analyzing an image detected by the detection unit before the olefin gas recognizer is started and judging whether it is a gas; and the image qualitative analysis module is used for recognizing and analyzing the image detected by the detection unit after the olefin gas recognizer is started and judging whether it is an olefin gas. The control and drive unit is connected with the detection unit and the analytical unit and is used for controlling and driving the olefin gas recognizer according to an analysis result of the analytical unit. The monitoring system and the method disclosed in the invention are used for online monitoring of olefin gas leakage. By the system and the method, olefin gas leakage can be detected timely and accurately, and safety and continuity of the production can be guaranteed.

Description

Supervisory system and method that olefin gas leaks

Technical field

The present invention relates to supervisory system and method, relate in particular to supervisory system and method that a kind of olefin gas leaks.

Background technology

In chemical industry place, the leakage of olefines gas can bring serious harm, and not only impact is produced, and also may cause security incident, directly threatens people's safety, and therefore the security monitoring in chemical industry place is all subject to people always and payes attention to widely.

Infrared imagery technique has started widespread use in security monitoring field at present, is generally used for obtaining the thermal-induced imagery of subject, and thermal-induced imagery can be with temperature label information.According to the difference of focal plane performance, infrared thermography can be operated in two frequency ranges: the medium wave frequency range of 3-5 micron and the long wave frequency range of 8-14 micron.The thermal infrared imager having more than 320 × 240 pixels can detect most of artificial sightless chemical gases of vision.

Although adopted infrared imagery technique to monitor the gas with harmfulness at present, but for chemical industry place, need the supervisory system of a collection detection and alarm integrated, fully ensure the production safety at chemical industry scene, and the existing system for combustible gas detecting and warning, equipment, equipment all can not survey and find that olefin gas leaks visually, can not intuitively find the problems such as olefin gas leak position and diffusion-condition, especially can not form a total system.

Summary of the invention

For the problem of prior art, the object of the invention is to develop a kind of brand-new, visible olefin gas leak detection of vision and alarm method, form the online monitoring system that a kind of olefin gas leaks.Can realize the olefin gas leakage of effectively surveying alkenes compounds in chemical plant installations district, find that source of leaks also carries out early warning and warning according to leakage situation.

For reaching this object, the present invention adopts following technical scheme:

The supervisory system that olefin gas leaks, comprising: probe unit, comprise infrared thermography, and in described infrared thermography, comprise olefin gas recognizer, described probe unit is for surveying and imaging region to be measured; Analytic unit, comprise image pre-analysis module and image qualitative analysis module, image pre-analysis module comprises pattern analysis software, analyze starting the olefin gas recognizer image that described probe unit is surveyed before, determine whether gas, image qualitative analysis module comprises olefin gas analysis software, and the image that after olefin gas recognizer is started, described probe unit is surveyed is identified and analyzed, and determines whether olefin gas; Control and driver element, connect described probe unit and analytic unit, according to the olefin gas recognizer in the analysis result control of analytic unit and driving probe unit; Alarm unit, connects described analytic unit, reports to the police according to the analysis result of described analytic unit.

Wherein, in described analytic unit, also comprise quantitative calculating and judge module, quantitatively calculate the condition that comprises default triggering warnings at different levels with judge module, after image qualitative analysis module is carried out qualitative analysis, the variation of the infrared image gas area to region to be measured is calculated and judgement, start dissimilar warning, what described gas graphics area changed is calculated as before and after the certain hour of interval, the ratio that gas image area changes.

Wherein, image qualitative analysis module comprises olefin gas analysis software, whether analyzes gas to be measured by the bandpass filter of described olefin gas recognizer.

Wherein, also comprise temperature sensing module in described analytic unit, the temperature of the infrared image of described temperature sensing module to region to be measured is surveyed and is analyzed.

Wherein, in described analytic unit, also comprise quantitative calculating and judge module, quantitatively calculate the condition that comprises default triggering warnings at different levels with judge module, in monitor procedure, the temperature variation that the infrared image in region to be measured is shown is calculated and judgement, starts dissimilar warning.

Wherein, described olefin gas recognizer comprises rotating disk, and is arranged on band pass filter and empty window on rotating disk.

Wherein, described olefin gas recognizer comprises 3-5 length of a film wavestrip pass filter or 2 medium wave band pass filters.

Wherein, described olefin gas recognizer comprises 3 length of a film wavestrip pass filters, and its centre wavelength is respectively 10.1 ± 0.02,10.399 ± 0.02,12.28 ± 0.02 microns; Or described olefin gas recognizer comprises 5 length of a film wavestrip pass filters, and its centre wavelength is respectively 10.1 ± 0.02,10.37 ± 0.02,10.399 ± 0.02,11.24 ± 0.02,12.28 ± 0.02 microns; Or described olefin gas recognizer comprises 2 medium wave bandpass filters, 3.24 ± 0.02,3.31 ± 0.02 microns respectively of its centre wavelengths.

Wherein, described alarm unit comprises three grades of warning function modules.

Wherein, this analytic unit also comprises aid identification module, and the information of this aid identification resume module has one or more in the facility information in region to be measured, work information, environmental information, visible ray camera information.

Wherein, in described alarm unit, also comprise display device, with the position that shows that olefin gas leaks or temperature anomaly occurs

Wherein, also comprise the explosion-proof and power supply unit being connected with probe unit.

The method for supervising that the present invention also provides a kind of olefin gas to leak, comprises the following steps: adopt the infrared thermography detection of a target in probe unit, obtain infrared image; Adopt the pattern analysis software in image pre-analysis module to analyze obtained infrared image; According to the analysis result of image pre-analysis module, while finding that there is gas, control with driver element and start the olefin gas recognizer in infrared thermoviewer, carry out image detection, image qualitative analysis module is identified and is analyzed surveyed image, determines whether that olefin gas leaks; When determine be olefin gas leak time, adopt alarm unit report to the police.

Wherein, in described image qualitative analysis module, surveyed image is identified and analysis comprises, whether analyzed gas to be measured by the bandpass filter of described olefin gas recognizer.

Wherein, be judged as after olefin gas leakage, also comprise adopting quantitatively to calculate with the variation of the infrared image gas area of judge module to region to be measured and calculate and judgement, start dissimilar warning, what described gas graphics area changed is calculated as before and after the certain hour of interval, the ratio that gas image area changes.

Wherein, also comprise and adopt the temperature of the infrared image of temperature sensing module to region to be measured to survey and analyze.

Wherein, also comprise quantitative calculating and judge module in described analytic unit, the carrying out of the temperature variation that the infrared image in region to be measured is shown calculated and judgement, starts dissimilar warning.

Wherein, described olefin gas recognizer comprises 3 length of a film wavestrip pass filters or 2 medium wave band pass filters.

Wherein, image qualitative analysis module is identified and is analyzed surveyed image, analyzes gas to be measured whether when the bandpass filter by described olefin gas recognizer, analyzes according to band pass filter centre wavelength order from small to large.

Compared with prior art, supervisory system and the method for olefin gas leakage disclosed by the invention are applicable to the on-line monitoring that olefin gas leaks, and can detect timely and accurately the leakage of olefin gas, ensure that the safety of producing is with continuous.

Brief description of the drawings

Fig. 1 is the structural representation of the supervisory system in embodiment mono-.

Fig. 2 is the structural representation of the infrared thermography in embodiment mono-

Fig. 3 is the structural representation of the olefin gas recognizer in embodiment mono-

Fig. 4 is the process flow diagram of the method for supervising in embodiment bis-.

Fig. 5 is the process flow diagram of the identification olefin gas in embodiment bis-.

Fig. 6 is the structural representation of the supervisory system in embodiment tri-.。

Fig. 7 is the process flow diagram of the method for supervising in embodiment tetra-.

Fig. 8 is the structural representation of the olefin gas recognizer in embodiment six.

Wherein, description of reference numerals is as follows:

1, camera lens; 2, lens interface; 3, infrared eye; 4, imaging circuit; 5, coding motor; 6, olefin gas recognizer rotating disk; 6-1, empty window; 6-2, black matrix; 6-3,6-4,6-5,6-6,6-7, band pass filter; 11, probe unit; 12, analytic unit; 13, control and driver element.

Embodiment

Below in conjunction with drawings and Examples, the present invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, in accompanying drawing, only show part related to the present invention but not entire infrastructure.

Embodiment mono-:

The present embodiment discloses the supervisory system that a kind of alkene leaks, and Fig. 1 is the structural representation of the supervisory system in the present embodiment.As shown in Figure 1, this supervisory system comprises probe unit 11, this probe unit comprises infrared thermography, Fig. 2 is the structural representation of described infrared thermography, described infrared thermography comprises camera lens 1, lens interface 2, olefin gas recognizer 6, infrared eye 3 and treatment circuit 4, coding motor 5.Fig. 3 is the plan structure schematic diagram of olefin gas recognizer 6.As shown in Figure 3, this olefin gas recognizer 6 comprises empty window 6-1, the black matrix 6-2, band pass filter 6-3,6-4 and the 6-5 that are arranged on rotating disk.In Fig. 3, only show the situation that olefin gas recognizer comprises three band pass filters, in fact, this olefin gas recognizer can comprise 1-5 sheet band pass filter.And those skilled in the art can know, Fig. 3 is only a kind of schematic diagram, in fact on olefin gas recognizer rotating disk the position of band pass filter and mutually between interval can change.

The principle of work of this olefin gas recognizer is as follows: in not powering up or powering up normal imaging, the empty window 6-1 on olefin gas recognizer rotating disk is just to infrared eye 3, and now olefin gas recognizer is not activated, and ensures normal image quality.Power up for a long time effect when bad powering up moment or image, software sends instruction by RS485 to circuit board, circuit board is received instruction, starting scrambler driven by motor rotating disk forwards just to infrared eye 3 black matrix 6-2 to, proofread and correct, after correction, black matrix playback, ensures that empty window, just to detector, does not affect infrared imaging.In the time finding that there is olefin gas leakage, software sends instruction by RS485 to circuit board, circuit board is received instruction, start scrambler motor 5 and rotate successively band pass filter 6-3,6-4 and 6-5, each filter plate will stay for some time before detector, ensure that pattern analysis software described later can receive at least 3 complete images under filter plate, driven by motor rotating disk is got back to sky window position.Scrambler motor 5 drives the arbitrarily angled rotation of whole olefin gas recognizer rotating disk, and scrambler motor has higher resolution, can make sky window, black matrix, filter plate stop exactly to preset position

In the present embodiment, the mode of operation of olefin gas recognizer is as follows: under normal condition, empty window 6-1 is just to infrared eye 3, now olefin gas recognizer is not activated, namely the band pass filter of olefin gas recognizer is not in the light path of imaging, (target is herein taking the production scene in chemical industry place as example for the detection of a target, but the invention is not restricted to this) acquisition infrared image, the advantage of doing is like this to make infrared emanation energy that lens group is pooled to many being collected as far as possible, be unlikely to be stopped by band pass filter at the very start, these infrared emanation energy by infrared eye 3 namely focal plane arrays (FPA) be converted into electric signal, on display, demonstrate infrared image clearly through imaging circuit, more be conducive to the monitoring to production scene safety.

When the image detecting by pattern analysis software discovery in the situation that not starting olefin gas recognizer when follow-up image pre-analysis module has gas characteristic, can send instruction to circuit board by control module, in the time that circuit board is received instruction, scrambler motor 5 starts olefin gas recognizer, rotate successively band pass filter, the gas being passed through is carried out to filtering, judge with the kind to gas.

What in the present embodiment, infrared eye 3 adopted is focal plane arrays (FPA), what this focal plane arrays (FPA) used is the long wave focal plane arrays (FPA) of 8-14 micron, the olefin gas recognizer of corresponding employing is long wave olefin gas recognizer, is made up of the specific band pass filter that sees through bands of a spectrum of 1-5 sheet.In the online monitoring system in chemical industry place, whether the gas that need to judge exactly leakage is olefin gas, if be only some harmless gases, as the appearance of water vapor etc., judging in inaccurate situation, the words that these harmless gases are defined as to olefin gas by mistake and report to the police, cause into the pause of production, bring very large economic loss, therefore in the present embodiment for fear of the appearance of above-mentioned situation, determine more accurately it is olefin gas, adopt the band pass filter of 3, described 3 band pass filter 6-3, the centre wavelength position of 6-4 and 6-5 respectively is 10.1 ± 0.02 microns, 10.399 ± 0.02 microns and 12.28 ± 0.02 microns.The passband length of alkene band pass filter is all 100 ± 20nm.The centre wavelength of above 3 alkene band pass filters is preferably to choose at the diffuse reflectance infrared spectroscopy of the long wave frequency range of 8-14 micron with reference to olefin(e) compound, above 3 band pass filters select such centre wavelength can cover the key band of olefin gas, determine as olefin gas.In the mode being more preferably, adopt centre wavelength position to be respectively 5 band pass filters of 10.1 ± 0.02 microns, 10.37 ± 0.02 microns, 10.399 ± 0.02 microns, 11.24 ± 0.02 microns and 12.28 ± 0.02 microns more accurate to the judgement of olefin gas, the band pass filter of 5 such centre wavelengths can cover the key band of olefin gas completely, accurately determine as olefin gas, avoid false alarm.

Band pass filter judge gas be whether olefin gas principle be, the infrared radiation signal of gas to be measured is through observing infrared image after band pass filter filtering, the infrared radiation signal of gas to be measured has seen through band pass filter, think that gas to be measured is olefin gas, if can not observe gas image, the infrared radiation signal of gas to be measured does not see through band pass filter, thinks that gas to be measured is not olefin gas, and in following embodiment, principle is identical with the present embodiment.

Because probe unit is arranged on monitoring site in this supervisory system, this monitoring site is Chemical Manufacture place, outside at whole probe unit must have explosion-proof guard shield, and has the antibomb unit and the power supply unit that are connected with probe unit, to ensure the safe operation of probe unit.

This supervisory system also comprises analytic unit 12, the image that probe unit is detected is analyzed, described probe unit comprises image pre-analysis module and image qualitative analysis module, image pre-analysis module comprises that the image that pattern analysis software is surveyed described probe unit analyzes, and determines whether gas.

Infrared thermography provides temp sensing function, has temperature to show on the infrared image that target to be measured is formed.In the preferred mode of another kind, in this analytic unit, also comprise temperature sensing module, the temperature that the infrared image in region to be measured is shown to be surveyed, monitoring and analysis, if find that temperature anomaly raises, higher than the value of a setting, start and report to the police immediately.

This supervisory system also comprises to be controlled and driver element 13, described control is connected described probe unit and analytic unit with driver element, in the time that the image pre-analysis module in analytic unit judges that the infrared image of the detection of a target has gas characteristic, this control and driver element start scrambler motor by driving circuit, scrambler electric machine rotation olefin gas recognizer rotating disk, namely start olefin gas recognizer, make band pass filter just to infrared eye 3, after starting olefin gas recognizer, probe unit carries out imaging to the detection of a target, image qualitative analysis module in described analytic unit is analyzed identification to starting the olefin gas recognizer image that probe unit detects afterwards, as previously mentioned, in the time of scrambler electric machine rotation band pass filter, band pass filter will stay for some time at detector surface, ensure that software can receive at least 3 complete images under band pass filter, olefin gas analysis software in image qualitative analysis module is analyzed these images, whether analyzes gas to be measured by the bandpass filter of described olefin gas recognizer.If as scrambler motor 5 in the present embodiment starts, first rotate rotating disk, make band pass filter 6-3 just on infrared eye 3, in the light path of infrared imaging, the infrared image that gas to be measured becomes is analyzed by the olefin gas analysis software in image qualitative analysis module, if think that gas to be measured passes through band pass filter, the driving circuit in control module gives an order, scrambler motor 5 starts, rotate band pass filter 6-4, if image qualitative analysis module thinks that gas to be measured is not by band pass filter 6-3, think that this gas is not olefin gas, stop the qualitative analysis to gas, scrambler motor 5 makes sky window 6-1 just to infrared eye 3, be returned to normal monitor state.

If gas to be measured can, all by three above-mentioned band pass filters, determine it is to be olefin gas.

This supervisory system also comprises alarm unit, when the image qualitative analysis module in analytic unit is determined the processing of reporting to the police while being olefin gas.

In alarm unit, also comprise display device, show the position of olefin gas leakage and the position that temperature anomaly occurs occur, be convenient to timely processing.

In the preferred mode of above-mentioned another kind, temperature sensing module is connected with alarm unit, described temperature sensing module comprises temperature sensing software, in whole monitor procedure, the image that probe unit is surveyed carries out detection and the analysis of temperature, if find that temperature arrives a definite value, this definite value can preset, for the temperature conditions of trigger alarm, as the temperature that presets trigger alarm is 160 DEG C, when temperature on-the-spot in the image that temperature sensing module is found to detect is during higher than 160 DEG C, which kind of no longer analyze as gas, directly starting alarm unit reports to the police.Can in the time having unexpected intensification situation, report to the police rapidly like this, avoid the generation of security incident, ensure for the safety of producing provides a kind of again.

In the supervisory system providing at the present embodiment, comprise the probe unit for scene to be measured being carried out to infrared imaging, for the image pre-analysis module that imaging results is analyzed and monitored, for the image qualitative analysis module that the gas leaking is carried out to qualitative analysis, and according to the analysis result of image pre-analysis module and image qualitative analysis module to control and driver element that in infrared thermoviewer, olefin gas recognizer is controlled, and alarm unit.Each ingredient of this supervisory system organically combines, scene to be measured is monitored accurately and effectively, can find that olefin gas leaks warning rapidly, ensure the safety of production, prevent again the loss that false alarm brings, simultaneously in preferred mode, in whole monitor procedure, adopt the temperature sensing module in analytic unit to monitor in real time the temperature at scene to be measured, in the time having unexpected intensification situation, report to the police rapidly, prevent the unexpected security incident that heats up and cause, ensure the high safety of producing.

Embodiment bis-:

The present embodiment is described the method for supervising of the supervisory system adopting in embodiment mono-to alkene leakage in detail.Fig. 4 shows the process flow diagram of the method.First, thermal infrared imager does not start olefin gas recognizer, namely the band pass filter of olefin gas recognizer is not in the light path of imaging, the empty window 6-1 of the rotating disk of olefin gas recognizer is just to infrared eye 3, (target is herein taking the production scene in chemical industry place as example for the detection of a target, but the invention is not restricted to this) acquisition infrared image, the advantage of doing is like this to make infrared emanation energy that lens group is pooled to many being collected as far as possible, be unlikely to be stopped by band pass filter at the very start, these infrared emanation energy are converted into electric signal by focal plane arrays (FPA), on display, demonstrate infrared image clearly through imaging circuit, more be conducive to the monitoring to production scene safety.

Then adopt the pattern analysis infrared image analysis that software analysis detects in image pre-analysis module whether to there is gas characteristic, if do not there is gas characteristic, thermal infrared imager continues to keep not triggering the state of olefin gas recognizer, continue the detection of a target, namely continue production scene to monitor normally, if going out detected infrared image, pattern analysis software analysis there is gas characteristic, adopt the driving circuit in control and driver element to start scrambler motor, rotate the band pass filter on olefin gas recognizer rotating disk, make band pass filter just to infrared eye 3, whether the infrared image that adopts the judgement of image qualitative analysis module now to obtain meets the feature of olefin gas.

The method of judgement be first control with driver element in driving circuit start scrambler motor, rotate band pass filter 6-3, make band pass filter 6-3 just to infrared eye 3, detect infrared image, described image qualitative analysis module is analyzed starting the band pass filter 6-3 image that probe unit detects afterwards that centre wavelength is 10.1 ± 0.02 microns, whether analyzes gas to be measured by the bandpass filter 6-3 of described olefin gas recognizer.If do not passed through, prove that this gas is not olefin gas, may be other gases such as water vapor, the driving circuit in control and driver element makes band pass filter 6-3 playback by scrambler electric machine rotation alkene recognizer rotating disk, empty window 6-1 is just to infrared eye 3, and whole supervisory system is returned to again normal monitor state.If olefin gas analysis software thinks that gas to be measured has passed through band pass filter 6-3, control and driver element are by scrambler motor, rotate olefin gas recognizer rotating disk, make band pass filter 6-4 just to infrared eye 3, namely start centre wavelength and be the band pass filter 6-4 of 10.399 ± 0.02 microns, infrared thermoviewer detects infrared image, image qualitative analysis module in described analytic unit is analyzed and is identified starting the band pass filter 6-4 image that probe unit detects afterwards, analyze gas to be measured and whether passed through band pass filter 6-4.If do not passed through, prove that this gas is not olefin gas, may be other gases such as water vapor, the driving circuit in control and driver element makes band pass filter 6-4 playback by scrambler electric machine rotation alkene recognizer rotating disk, empty window 6-1 is just to infrared eye 3, and whole supervisory system is returned to again normal monitor state.If pattern analysis software thinks that gas to be measured has passed through band pass filter 6-4, control and driver element in pass through scrambler motor, rotate alkene recognizer rotating disk, make band pass filter 6-5 just to infrared eye 3, namely start centre wavelength and be the band pass filter 6-5 of 12.28 ± 0.02 microns, infrared thermoviewer detects infrared image, image qualitative analysis module in described analytic unit is analyzed and is identified starting the band pass filter 6-5 image that probe unit detects afterwards, analyze gas to be measured and whether passed through band pass filter 6-5, if do not passed through, prove that this gas is not olefin gas, may be other gases such as water vapor, the driving circuit in control and driver element makes band pass filter 6-5 playback by scrambler electric machine rotation alkene recognizer rotating disk, empty window 6-1 is just to infrared eye 3, whole supervisory system is returned to again normal monitor state.If passed through, think that gas to be measured has the feature of olefin gas, determine the gas characteristic that the gas characteristic that presents in Infrared image is olefin gas, be judged as olefin gas and leak, alarm unit starts and reports to the police, and above flow process is as shown in Figure 5.More than describing is the situation of 3 filter plates, if 5 filter plates repeat above-mentioned process.Adopt can judge exactly be in such a way olefin gas leak, prevent the generation of false alarm.Certainly, those skilled in the art also can select the even more band pass filter of multi-disc of a slice or two, as long as can realize the identification to olefin gas.

The method for supervising that the olefin gas that present embodiment proposes leaks, can monitor the production scene in chemical industry place online, and can report to the police exactly, can avoid leaking because of olefin gas the generation of the security incident causing, can prevent again the economic loss that false alarm brings.

In the preferred mode of another kind, in the process that the leakage of olefin gas is monitored, adopt the temperature sensing module in analytic unit, the image that probe unit is surveyed carries out detection and the analysis of temperature, if find that temperature arrives a definite value, this definite value can preset, for the temperature conditions of trigger alarm, as the temperature that presets trigger alarm is 160 DEG C, when temperature on-the-spot in the image that temperature sensing module is found to detect is during higher than 160 DEG C, think and occurred extremely, directly start alarm unit and report to the police.Can in the time having unexpected intensification situation, report to the police rapidly like this, avoid the generation of security incident, ensure for the safety of producing provides a kind of again.

Embodiment tri-:

The present embodiment discloses the supervisory system that another kind of alkene leaks.Fig. 6 shows the structural representation of this supervisory system.This supervisory system comprises probe unit, and this probe unit comprises infrared thermography, and described infrared thermography is identical with the structure of the infrared thermography in embodiment mono-.Comprise camera lens, lens interface, olefin gas recognizer, infrared eye and treatment circuit, coding motor.Under normal condition, empty window 6-1 is just to infrared eye 3, now olefin gas recognizer is not activated, namely the band pass filter of olefin gas recognizer is not in the light path of imaging, (target is herein taking the production scene in chemical industry place as example for the detection of a target, but the invention is not restricted to this) acquisition infrared image, the advantage of doing is like this to make infrared emanation energy that lens group is pooled to many being collected as far as possible, be unlikely to be stopped by band pass filter at the very start, these infrared emanation energy by infrared eye namely focal plane arrays (FPA) be converted into electric signal, on display, demonstrate infrared image clearly through imaging circuit, more be conducive to the monitoring to production scene safety.

When the image that utilizes pattern analysis software discovery to detect in the situation that not starting olefin gas recognizer when follow-up image pre-analysis module has gas characteristic, can send instruction to the driving circuit in control module, in the time that circuit board is received instruction, scrambler motor 5 starts olefin gas recognizer, rotate successively band pass filter, the gas being passed through is carried out to filtering, judge with the kind to gas.

What in the present embodiment, infrared eye 3 adopted is focal plane arrays (FPA), what this focal plane arrays (FPA) used is the long wave focal plane arrays (FPA) of 8-14 micron, the olefin gas recognizer of corresponding employing is long wave olefin gas recognizer, is made up of the specific band pass filter that sees through bands of a spectrum of 1-5 sheet.In the online monitoring system in chemical industry place, whether the gas that need to judge exactly leakage is olefin gas, if be only some harmless gases, as the appearance of water vapor etc., judging in inaccurate situation, the words that these harmless gases are defined as to olefin gas by mistake and report to the police, cause into the pause of production, can bring very large economic loss, therefore in the present embodiment for fear of the appearance of above-mentioned situation, determine more accurately it is olefin gas, adopt the band pass filter of 3, described 3 band pass filter 6-3, the centre wavelength position of 6-4 and 6-5 respectively is 10.1 ± 0.02 microns, 10.399 ± 0.02 microns and 12.28 ± 0.02 microns, in the mode being more preferably, adopt centre wavelength position to be respectively 10.1 ± 0.02 microns, 10.37 ± 0.02 micron, 10.399 ± 0.02 micron, 5 band pass filters of 11.24 ± 0.02 microns and 12.28 ± 0.02 microns are more accurate to the judgement of olefin gas, avoid false alarm.

This supervisory system also comprises analytic unit, the image that probe unit is detected is analyzed, described probe unit comprises image pre-analysis module and image qualitative analysis module, image pre-analysis module comprises that the image that pattern analysis software is surveyed described probe unit analyzes, and determines whether gas.

This supervisory system also comprises to be controlled and driver element, described control is connected described probe unit and analytic unit with driver element, in the time that the image pre-analysis module in analytic unit judges that the infrared image of the detection of a target has for gas characteristic, this control and driver element start scrambler motor by driving circuit, scrambler electric machine rotation olefin gas recognizer rotating disk, namely start olefin gas recognizer, make band pass filter just to infrared eye 3, after starting olefin gas recognizer, probe unit carries out imaging to the detection of a target, image qualitative analysis Module-embedding olefin gas analysis software in described analytic unit, there is olefin gas recognition function, described image qualitative analysis module is analyzed and is identified starting the olefin gas recognizer image that probe unit detects afterwards, as previously mentioned, in the time of scrambler electric machine rotation band pass filter, band pass filter will stay for some time at detector surface, ensure that software can receive at least 3 complete images under band pass filter, olefin gas analysis software in image qualitative analysis module is that these images are analyzed, whether analyze gas to be measured by the bandpass filter of described olefin gas recognizer.If as scrambler motor 5 in the present embodiment starts, first rotate band pass filter 6-3, make band pass filter 6-3 just on infrared eye 3, in the light path of infrared imaging, the infrared image that gas to be measured becomes is analyzed by the pattern analysis software in image qualitative analysis module, if think that gas to be measured passes through band pass filter, the driving circuit in control module gives an order, scrambler motor 5 starts, rotate band pass filter 6-4, if image qualitative analysis module thinks that gas to be measured is not by band pass filter 6-3, think that this gas is not olefin gas, stop the qualitative analysis to gas, scrambler motor 5 makes sky window 6-1 just to infrared eye 3, be returned to normal monitor state.

Compared with embodiment mono-, in the present embodiment, in analytic unit, also comprise quantitative calculating and judge module, in the time that image qualitative analysis module utilizes olefin gas analysis software to be finally defined as olefin gas after image is analyzed, this quantitatively calculates the situation of olefin gas being leaked with judge module and carries out quantitative calculating and judgement, determines alarm level and provides the information such as dynamic range of scatter and risk range.

Infrared thermography provides temp sensing function, has temperature to show on the infrared image that target to be measured is formed.In the preferred mode of another kind, in this analytic unit, also comprise temperature sensing module, the temperature sensing software that temperature sensing module comprises is surveyed the shown temperature of the infrared image in region to be measured, monitoring and analysis, if find that temperature raises, adopt quantitatively and calculate with judge module the variation of this temperature is calculated and judged, start the warning of corresponding different brackets.

Alarm unit in the present embodiment comprises three grades of warning function modules, is respectively the first order and reports to the police, and report to the police in the second level, third level danger warning.In alarm unit, also comprise display device, show the position that olefin gas occurs and leak, the scope of olefin gas diffusion and the position that temperature anomaly occurs, be convenient to timely processing.

In the supervisory system providing at the present embodiment, comprise the probe unit for scene to be measured being carried out to infrared imaging, for the image pre-analysis module that imaging results is analyzed and monitored, for the image qualitative analysis module that the gas leaking is carried out to qualitative analysis, and according to the analysis result of image pre-analysis module and image qualitative analysis module to control and driver element that in infrared thermoviewer, olefin gas recognizer is controlled, for the state leaking being analyzed and being calculated, differentiate quantitative calculating and judge module for different leak condition, and there is the alarm unit of three grades of alarm modes.Each ingredient of this supervisory system organically combines, scene to be measured is monitored accurately and effectively, can find that olefin gas leaks warning rapidly, and can corresponding different leak condition start different alarm modes, can carry out different processing for different situations, the monitoring of producing, more effectively with careful, is ensured to the safety of production, prevent again the loss that false alarm brings.Simultaneously in preferred mode, temperature sensing module in analytic unit is monitored in real time to the temperature at scene to be measured, if find that temperature raises, adopt quantitatively and calculate with judge module the variation of this temperature is calculated and judged, start corresponding different alarm mode, further ensure the high safety of producing.

Embodiment tetra-:

Next describe the method for supervising of the supervisory system adopting in embodiment tri-to alkene leakage in detail.Fig. 7 is the process flow diagram of the method.As shown in Figure 7, first, thermal infrared imager does not start olefin gas recognizer, namely the band pass filter of olefin gas recognizer is not in the light path of imaging, the empty window 6-1 of the rotating disk of olefin gas recognizer is just to infrared eye 3, (target is herein taking the production scene in chemical industry place as example for the detection of a target, but the invention is not restricted to this) acquisition infrared image, the advantage of doing is like this to make infrared emanation energy that lens group is pooled to many being collected as far as possible, be unlikely to be stopped by band pass filter at the very start, these infrared emanation energy are converted into electric signal by focal plane arrays (FPA), on display, demonstrate infrared image clearly through imaging circuit, more be conducive to the monitoring to production scene safety.

The method of judgement be first control with driver element in driving circuit start scrambler motor, rotation makes band pass filter 6-3, make band pass filter just to infrared eye 3, detect infrared image, the image that described image qualitative analysis module detects probe unit after to start centre wavelength be 10.1 ± 0.02 microns band pass filter 6-3 is analyzed, and analyzes gas to be measured and whether analyzes gas to be measured by the bandpass filter of described olefin gas recognizer and whether passed through band pass filter 6-3.If do not passed through, prove that this gas is not olefin gas, may be other gases such as water vapor, the driving circuit in control and driver element makes band pass filter 6-3 playback by scrambler electric machine rotation alkene recognizer rotating disk, empty window 6-1 is just to infrared eye 3, and whole supervisory system is returned to again normal monitor state.If olefin gas analysis software thinks that gas to be measured has passed through band pass filter 6-3, control and driver element in pass through scrambler motor, rotate alkene recognizer rotating disk, make band pass filter 6-4 just to infrared eye 3, namely start centre wavelength and be the band pass filter 6-4 of 10.399 ± 0.02 microns, infrared thermoviewer detects infrared image, image qualitative analysis module in described analytic unit is analyzed and is identified starting the band pass filter 6-4 image that probe unit detects afterwards, analyze gas to be measured and whether passed through band pass filter 6-4.If do not passed through, prove that this gas is not olefin gas, may be other gases such as water vapor, the driving circuit in control and driver element makes band pass filter 6-4 playback by scrambler electric machine rotation alkene recognizer rotating disk, empty window 6-1 is just to infrared eye 3, and whole supervisory system is returned to again normal monitor state.If olefin gas analysis software thinks that gas to be measured has passed through band pass filter 6-4, control and driver element in pass through scrambler motor, rotate alkene recognizer rotating disk, make band pass filter 6-5 just to infrared eye 3, namely start centre wavelength and be the band pass filter 6-5 of 12.28 ± 0.02 microns, infrared thermoviewer detects infrared image, image qualitative analysis module in described analytic unit is analyzed and is identified starting the band pass filter 6-5 image that probe unit detects afterwards, analyzes gas to be measured and whether has passed through band pass filter 6-5.If do not passed through, prove that this gas is not olefin gas, may be other gases such as water vapor, the driving circuit in control and driver element makes band pass filter 6-5 playback by scrambler electric machine rotation alkene recognizer rotating disk, empty window 6-1 is just to infrared eye 3, and whole supervisory system is returned to again normal monitor state.If passed through, think that gas to be measured has the feature of olefin gas, determine the gas characteristic that the gas characteristic that presents in Infrared image is olefin gas, be judged as olefin gas and leak, alarm unit starts and reports to the police, and above flow process is as shown in Figure 4.More than describing is the situation of 3 filter plates, if 5 filter plates repeat above-mentioned process.Adopt can judge exactly be in such a way olefin gas leak, prevent the generation of false alarm.Certainly, those skilled in the art also can select the even more band pass filter of multi-disc of a slice or two, as long as can realize the identification to olefin gas.

Compared with embodiment bis-, in the present embodiment, in the time that image qualitative analysis module utilizes pattern analysis software to be finally defined as olefin gas after image is analyzed, adopt quantitatively to calculate with judge module again the situation of olefin gas leakage is carried out quantitatively calculating and judgement, decision alarm level also provides the information such as dynamic range of scatter and risk range.

Described quantitative calculating and judge module can utilize the infrared image obtaining after the startup olefin gas recognizer of system input to calculate the gas graphics area dynamic change in region to be measured, and the mode of calculating is as follows:

First set:

The gas graphics area of arbitrary time point N in arbitrary guarded region in Pn=picture;

Gas graphics area=Z of a time point M who delays in the same guarded region of Pm=;

Fx=lens group focal length;

Jx=lens group video angle;

Lx=lens group is to the spacing of target to be monitored;

The complete monitored picture area of Px=;

△ S=time variable=M-N;

△ P=area variable=Pm/Pn

In the situation that a set of supervisory system is definite, Fx, Jx, Lx, Px is fixing value, calculates the variable of gas graphics area in regular hour variation range, and presets the value of one group of trigger condition, as:

When △ S<X second, △ P<Y1, when Pm<Z1, is defined as minute leakage:

When △ S<X second, Y1< △ P<Y2, when Z1<Pm<Z2, is defined as and continues to leak:

When △ S<X second, △ P>Y2, when Pm>Z2, is defined as instantaneous leak.

Next, give an example above-mentioned formula made an explanation:

As first set X=5, Y1=1, Y2=2,20% of the whole monitored picture area of Z1=, 60% of the whole monitored picture area of Z2=.

That is to say in the time range of 5s, the two width pictures that infrared thermography detects are compared, the gas graphics area Pm of a time point M who delays in same guarded region is less than 1 divided by the value of the gas graphics area Pn of arbitrary time point N in arbitrary guarded region in picture, namely the gas graphics area of a rear time point M is also less than the image area of previous time point, and the gas graphics area of a rear time point M is less than 20% of whole monitored picture area, the amount that proves Leakage Gas is very little, gas has the trend dribbling over time, and gas graphics area is less than 20% of whole monitored picture area, think that this leakage is minute leakage, the alarm mode of following adopted is first order danger warning, remind production monitoring personnel to note.

If in the time range of the 5s setting, the two width pictures that infrared thermography detects are compared, the gas graphics area Pm of a time point M who delays in same guarded region is 1.5 divided by the value of the gas graphics area Pn of arbitrary time point N in arbitrary guarded region in picture, between 1 and 2, be exactly in the time range of 5s, the relatively previous time point of gas graphics area has expanded 50%, and the gas graphics area of a rear time point M accounts between the 20%-60% of whole monitored picture area, the amount that proves Leakage Gas is larger, think that this leakage is for continuing leakage, the alarm mode of following adopted is second level danger warning, production monitoring personnel must process immediately.

If in the time range of the 5s setting, the two width pictures that infrared thermography detects are compared, the gas graphics area Pm of a time point M who delays in same guarded region is 3 divided by the value of the gas graphics area Pn of arbitrary time point N in arbitrary guarded region in picture, be exactly in the time range of 5s, the relatively previous time point of gas graphics area has expanded 2 times, and the gas graphics area of a rear time point M is greater than 60% of whole monitored picture area, the amount that proves Leakage Gas is very large, think that this leakage is instantaneous leak, the alarm mode of following adopted is third level danger warning, remind production monitoring personnel emergency treatment.

For above-mentioned three kinds of situations, alarm unit has three grades of warning function modules, in the time that quantitative calculating and judge module are judged as the condition of satisfied [instantaneous leak] by the variation of gas image area, three grades of warning function modules directly start third level danger warning, and now screen display warning message, the startup of emergency alarm audible-visual annunciator, screen dynamically show gas range of scatter and risk range; If when quantitatively calculating while meeting the condition of [continue to leak)] with judge module by the variation of gas image area, three grades of warning function modules start second level danger warning, and now screen display warning message, the startup of warning chimes of doom light crossing-signal, screen dynamically show gas range of scatter and risk range; If in the time quantitatively calculating and judge module meets the condition of [minute leakage] by the variation of gas image area, three grades of warning function modules start first order danger warning, now screen display warning message.

Above is only the object of explanations for example, in fact those skilled in the art can according to monitor need to setting formula in X, Y1, Y2, Z1, the value of Z2, defines the scope of various leakages.

Pattern analysis software can freely be separated out maximum 64 independent guarded regions in a complete picture, to the infrared image analysis of each independently guarded region, quantitatively calculate with judge module the infrared image of each independent guarded region is carried out quantitatively calculating and judgement, judge the grade of Leakage Gas, and then trigger corresponding warning at different levels.Accurate to the monitoring of target to be measured like this, can find to leak the particular location occurring, be convenient to timely processing, the effective monitoring to target to be measured and careful.

The quantitative calculating of the variation of gas image area in infrared image being carried out except above-mentioned quantitative calculating and judge module and judgement, in this warning device, also comprise monitoring and analysis to target temperature to be measured.

Infrared thermography provides temp sensing function, has temperature to show on the infrared image that target to be measured is formed.In image analysis module except comprising above-mentioned pattern analysis software, also comprise temperature sensing module to the variation of this temperature survey with analyze.

Due in chemical industry place, organic compound in the time of gasification because a large amount of heat absorptions can cause that local temperature changes rapidly, and in the time of large flow leakage because of static initiation fire, thereby cause local temperature sharply to rise.Therefore this temperature sensing module adopts temperature sensing software that the infrared image of target to be measured is surveyed and analyzed, the result of surveying with analyzing is sent to quantitative calculating and judge module, quantitatively calculate while finding to reach alert if with judge module, the alarm module in trigger alarm unit is reported to the police.

Described quantitative calculating and judge module utilize the result of detection of temperature sensing module that the temperature dynamic in region to be measured is changed and calculated, and described temperature variation is before and after the certain hour of interval, the rise of temperature, and the mode of calculating is as follows:

First set:

Temperature mxm. in Tmax=picture in arbitrary thermometric region;

The average temperature value of arbitrary time point N in arbitrary thermometric region in Tn=picture;

The average temperature value of a time point M who delays in the same thermometric of Tm=region;

△ S=time variable=M-N gets the arbitrary value in X second in thermometric software;

△ T=temperature variable=Tm-Tn;

Set one group of value that triggers temperature alarming condition, as:

When arbitrary time point, when Tmax>E, start third level danger warning.

When in the △ S time, when △ T>D2, start second level danger warning.

When in the △ S time, when D1≤△ T≤D2, start first order danger warning.

D=temperature gap;

Next, give an example above-mentioned formula made an explanation:

As first set △ S=15s, D1=2 DEG C, D2=5 DEG C, the E=160 DEG C of trigger condition for reporting to the police.

That is to say in the time range of 15s, the two width pictures that infrared thermography detects are compared,

The temperature gap measuring in thermometric region is less than 5 DEG C, that is to say in 15s, and the temperature in thermometric region has raise, but the temperature range raising is between 2 DEG C and 5 DEG C, now quantitatively calculates with judge module and triggers first order danger warning.

The temperature gap measuring in thermometric region is greater than 5 DEG C, that is to say in 15s, and the temperature in thermometric region raises and is greater than 5 DEG C, now quantitatively calculates with judge module and triggers second level danger warning.

If in a time point in office, measure the temperature mxm. Tmax in arbitrary thermometric region in picture and be greater than 160 DEG C, think and occurred unexpectedly extremely, quantitatively calculate with judge module and no longer carry out the calculating of temperature variation, directly trigger third level danger warning.

Change three kinds of situations for said temperature, alarm unit has three grades of warning function modules, when result temperature sensing module detects the condition of temperature satisfied [Tmax>160 DEG C], quantitative calculating with judge module directly directly starts third level danger warning, and now screen display warning message, the startup of emergency alarm audible-visual annunciator, screen dynamically show risk range; If quantitatively calculated with judge module, the calculating of temperature variation is met [when △ S<15 second, △ T> ± 5 DEG C] condition time, three grades of warning function modules start second level danger warning, now screen display warning message, the startup of warning chimes of doom light crossing-signal, screen dynamic risk scope; If quantitatively calculated while the result of calculation of temperature variation being met to the condition of when second [△ S<15, ± 2 DEG C≤△ T≤± 5 DEG C] with judge module, three grades of warning function modules start first order danger warnings, now screen display warning message.

Above is only the object of explanations for example, in fact those skilled in the art can according to monitoring need to setting formula in △ S, D1, D2, the value of E, the condition of definition triggering warnings at different levels.

Equally, temperature sensing module can freely be separated out maximum 64 independent guarded regions in a complete picture, the temperature of the infrared image to each independently guarded region is surveyed and is analyzed, quantitatively calculate with judge module the analysis result of each independent guarded region is calculated, judge that alarm level triggers corresponding warnings at different levels.Accurate to the monitoring of target to be measured like this, can find the particular location that temperature rising occurs, be convenient to timely processing, the effective monitoring to target to be measured and careful.

The above-mentioned calculating that gas graphics area in target to be measured is changed can be combined with judgement with the calculating of temperature variation with judgement, in the time determining arbitrary in the gas area of infrared image in target to be measured or temperature and meet alert if, trigger alarm.

That is to say, taking above-mentioned example as example, if temperature sensing result meets the condition of [Tmax>160 DEG C] or in the time quantitatively calculating and judge module is judged as the condition of satisfied [instantaneous leak] by the variation of gas image area, three grades of warning function modules directly start third level danger warning; If quantitatively calculated with judge module, the calculating of temperature variation is met [when △ S<15 second, △ T> ± 5 DEG C] conditioned disjunction quantitatively calculate while being judged as the condition of satisfied [continuing to leak] with judge module by the variation of gas image area, three grades of warning function modules start second level danger warnings; The calculating of temperature variation is judged as satisfied [when △ S<15 second if quantitatively calculated with judge module, ± 2 DEG C≤△ T≤± 5 DEG C] conditioned disjunction quantitatively calculate while being judged as the condition of satisfied [minute leakage] with judge module by the variation of gas image area, three grades of warning function modules start first order danger warnings.

In the present embodiment, can to define olefin gas leak in the situation that, adopt and quantitatively calculate and judge module, the state leaking is analyzed and calculated, differentiate the state for different leakages, adopt the corresponding different leak condition of pattern of three grades of warnings to start different alarm modes, can carry out different processing for different situations, the monitoring of producing, more effectively with careful, has been played to vital role for the raising of production efficiency and the reinforcement of safety guarantee.

Embodiment five:

The present embodiment discloses the supervisory system that another kind of alkene leaks.Compared with embodiment tri-, the disclosed supervisory system of the present embodiment also comprises aid identification module in analytic unit, aid identification functions of modules is by the essential information of target to be monitored, environment multidate information and uses visible ray means to be incorporated in system the information of same target monitoring, for quantitative test and calculating provide more data basis.Aid identification module is mainly processed facility information, work information, environmental information, the visible image capturing machine information of target to be monitored.

Facility information: provide the detailed technology parameter of target subject equipment to system, 3D model that if desired can apparatus for establishing.Can be by observing whether device dependent and whether this leakage of auxiliary judgment is that olefin gas leaks of leakage point position in the time analyzing olefin gas and leak.

Work information: dynamic, the detailed technical parameter that target to be monitored material is provided to system.In the time detecting olefin gas leakage, can carry out accordingly quantitatively calculating and judgement.

Environmental information: provide the real-time environmental information including wind speed, wind direction, temperature to system by near the meteorological observation instrument being arranged on target to be monitored.In the time detecting olefin gas leakage, can carry out accordingly quantitatively calculating and judgement.

Visible image capturing machine information: infrared thermography can be designed to the system parallel with visible light camera and maybe the visible light camera of the same target of monitoring be connected into native system.Comprehensive Correlation thermal-induced imagery and visible images contribute to improve the accuracy of olefin gas leak detection.

In the time that image qualitative analysis module determines whether to leak into olefin gas, and quantitative test and computing module are judged as and when which grade leaks, introduce aid identification module and can improve speed and the accuracy of identification judgement.

Embodiment six:

The present embodiment discloses the supervisory system that another kind of alkene leaks.This supervisory system comprises probe unit, and this probe unit comprises infrared thermography, and described infrared thermography is identical with the structure of the infrared thermography in embodiment mono-, comprise camera lens, lens interface, olefin gas recognizer, infrared eye and treatment circuit, coding motor.Under normal condition, empty window 6-1 is just to infrared eye 3, now olefin gas recognizer is not activated, namely the band pass filter of olefin gas recognizer is not in the light path of imaging, (target is herein taking the production scene in chemical industry place as example for the detection of a target, but the invention is not restricted to this) acquisition infrared image, the advantage of doing is like this to make infrared emanation energy that lens group is pooled to many being collected as far as possible, be unlikely to be stopped by band pass filter at the very start, these infrared emanation energy by infrared eye namely focal plane arrays (FPA) be converted into electric signal, on display, demonstrate infrared image clearly through imaging circuit, more be conducive to the monitoring to production scene safety.

In the time that follow-up image pre-analysis module finds that the image detecting has gas characteristic in the situation that not starting olefin gas recognizer, can send instruction to the driving circuit in control module, in the time that circuit board is received instruction, scrambler motor 5 starts olefin gas recognizer, rotate successively band pass filter, the gas being passed through is carried out to filtering, judge with the kind to gas.

The focal plane arrays (FPA) that in the present embodiment, infrared eye 3 adopts is the medium wave focal plane arrays (FPA) of 3-5 micron, and the olefin gas recognizer of corresponding employing is medium wave olefin gas recognizer, is made up of the specific medium wave band pass filter that sees through bands of a spectrum of 1-2 sheet.The plan structure schematic diagram of olefin gas recognizer as shown in Figure 8, has equally sky window 6-1 on the rotating disk of olefin gas recognizer, and black matrix 6-2 just, compared with having embodiment mono-, only has two band pass filter 6-6 and 6-7.Those skilled in the art can be known, and Fig. 8 is only a kind of schematic diagram, in fact on olefin gas recognizer rotating disk the position of band pass filter and mutually between interval can change.

In the online monitoring system in chemical industry place, whether the gas that need to judge exactly leakage is olefin gas, if be only some harmless gases, as the appearance of water vapor etc., judging in inaccurate situation, the words that these harmless gases are defined as to olefin gas by mistake and report to the police, cause into the pause of production, can bring very large economic loss, in the present embodiment for fear of the appearance of above-mentioned situation, determine more accurately it is olefin gas, adopt the band pass filter of 2, the centre wavelength position of described 2 band pass filters is respectively 3.24 ± 0.02 microns and 3.31 ± 0.02 microns.In the optional mode of another kind, also can adopt a slice centre wavelength position is the band pass filter of 3.24 ± 0.02 microns or 3.31 ± 0.02 microns.

This supervisory system also comprises analytic unit, the image that probe unit is detected is analyzed, described probe unit comprises image pre-analysis module and image qualitative analysis module, graphical analysis prefetch module comprises that the image that pattern analysis software is surveyed described probe unit analyzes, and determines whether gas.

This supervisory system also comprises to be controlled and driver element, described control is connected described probe unit and analytic unit with driver element, in the time that the image pre-analysis module in analytic unit judges that the infrared image of the detection of a target has for gas characteristic, this control and driver element start scrambler motor by driving circuit, scrambler electric machine rotation olefin gas recognizer rotating disk, namely start olefin gas recognizer, make band pass filter just to infrared eye 3, after starting olefin gas recognizer, probe unit carries out imaging to the detection of a target, image qualitative analysis Module-embedding pattern analysis software in described analytic unit, there is olefin gas recognition function, analyze starting olefin gas recognizer image afterwards.As previously mentioned, in the time of scrambler electric machine rotation band pass filter, band pass filter will stay for some time at detector surface, ensure that software can receive at least 3 complete images under band pass filter, olefin gas analysis software in image qualitative analysis module is analyzed these images, whether analyzes gas to be measured by the bandpass filter of described olefin gas recognizer.If as scrambler motor 5 in the present embodiment starts, first rotate band pass filter 6-6, make band pass filter 6-6 just on infrared eye 3, in the light path of infrared imaging, the infrared image that gas to be measured becomes is analyzed by the pattern analysis software in image qualitative analysis module, if think that gas to be measured passes through band pass filter, the driving circuit in control module gives an order, scrambler motor 5 starts, rotate band pass filter 6-7, if image qualitative analysis module thinks that gas to be measured is not by band pass filter 6-6, think that this gas is not olefin gas, stop the qualitative analysis to gas, scrambler motor 5 makes sky window 6-1 just to infrared eye 3, be returned to normal monitor state.

If gas to be measured can, all by two above-mentioned band pass filters, determine it is to be olefin gas.

In the preferred mode of one, in analytic unit, also comprise quantitative calculating and judge module, in the time that image qualitative analysis module utilizes pattern analysis software to be finally defined as olefin gas after image is analyzed, this quantitatively calculates the situation of olefin gas being leaked with judge module and carries out quantitative calculating and judgement, determines alarm level and provides the information such as dynamic range of scatter and risk range.

Infrared thermography provides temp sensing function, has temperature to show on the infrared image that target to be measured is formed.In the preferred mode of another kind, in this analytic unit, also comprise temperature sensing module, the temperature that infrared image in region to be measured is shown is surveyed, monitoring and analysis, if find that temperature raises, adopt quantitatively and calculate with judge module the variation of this temperature is calculated and judged, start corresponding different alarm mode.

Alarm unit in the present embodiment comprises three grades of warning function modules, is respectively minute leakage and reports to the police, and continues leakage alarm, and instantaneous leak is reported to the police.

In the supervisory system providing at the present embodiment, comprise the probe unit for scene to be measured being carried out to infrared imaging, for the image pre-analysis module that imaging results is analyzed and monitored, for the image qualitative analysis module that the gas leaking is carried out to qualitative analysis, and according to the analysis result of image pre-analysis module and image qualitative analysis module to control and driver element that in infrared thermoviewer, olefin gas recognizer is controlled, for the state leaking being analyzed and being calculated, differentiate quantitative calculating and judge module for the state of different leakages, and there is the alarm unit of three grades of alarm modes.Each ingredient of this supervisory system organically combines, scene to be measured is monitored accurately and effectively, can find that olefin gas leaks warning rapidly, and can corresponding different leak condition start different alarm modes, can carry out different processing for different situations, the monitoring of producing, more effectively with careful, is ensured to the safety of production, prevent again the loss that false alarm brings.In preferred mode, the temperature sensing module in image pre-analysis module is monitored in real time to the temperature at scene to be measured, in the time having unexpected intensification situation, reports to the police rapidly simultaneously, prevents the unexpected security incident that heats up and cause, ensures the high safety of producing.

Embodiment seven:

Next describe the method for supervising of the supervisory system adopting in embodiment six to alkene leakage in detail.First, first thermal infrared imager does not start olefin gas recognizer, thermal infrared imager does not start olefin gas recognizer, namely the band pass filter of olefin gas recognizer is not in the light path of imaging, the empty window 6-1 of the rotating disk of olefin gas recognizer is just to infrared eye 3, (target is herein taking the production scene in chemical industry place as example for the detection of a target, but the invention is not restricted to this) acquisition infrared image, the advantage of doing is like this to make infrared emanation energy that lens group is pooled to many being collected as far as possible, be unlikely to be stopped by band pass filter at the very start, these infrared emanation energy are converted into electric signal by focal plane arrays (FPA), on display, demonstrate infrared image clearly through imaging circuit, more be conducive to the monitoring to production scene safety.

The method of judgement be first control with driver element in driving circuit start scrambler motor, rotation makes band pass filter 6-6, make band pass filter 6-6 just to infrared eye 3, detect infrared image, described image qualitative analysis module is analyzed and is identified starting the band pass filter 6-6 image that probe unit detects afterwards that centre wavelength is 3.24 ± 0.02 microns, analyze gas to be measured and whether passed through band pass filter 6-6, if do not passed through, prove that this gas is not olefin gas, may be other gases such as water vapor, the driving circuit in control and driver element makes band pass filter 6-6 playback by scrambler electric machine rotation alkene recognizer rotating disk, empty window 6-1 is just to infrared eye 3, whole supervisory system is returned to again normal monitor state.If olefin gas analysis software thinks that gas to be measured has passed through band pass filter 6-6, control and driver element in pass through scrambler motor, rotate alkene recognizer rotating disk, make band pass filter 6-7 just to infrared eye 3, namely start centre wavelength and be the band pass filter 6-7 of 3.31 ± 0.02 microns, infrared thermoviewer detects infrared image, image qualitative analysis module in described analytic unit is analyzed and is identified starting the band pass filter 6-4 image that probe unit detects afterwards, analyze gas to be measured and whether passed through band pass filter 6-7, if do not passed through, prove that this gas is not olefin gas, may be water vapor, other gases such as carbon dioxide, the driving circuit in control and driver element makes band pass filter 6-7 playback by scrambler electric machine rotation alkene recognizer rotating disk, empty window 6-1 is just to infrared eye 3, whole supervisory system is returned to again normal monitor state.If olefin gas analysis software thinks that gas to be measured has passed through band pass filter 6-7, think that gas to be measured has the feature of olefin gas, determine the gas characteristic that the gas characteristic that presents in Infrared image is olefin gas, be judged as olefin gas and leak.Certainly, those skilled in the art also can select a slice medium wave band pass filter, as long as can realize the identification to olefin gas.

In the present embodiment, in the present embodiment, in the time that image qualitative analysis module utilizes pattern analysis software to be finally defined as olefin gas after image is analyzed, adopt quantitatively to calculate with judge module again the situation of olefin gas leakage is carried out quantitatively calculating and judgement, decision alarm level also provides the information such as dynamic range of scatter and risk range.

First set:

Fx=lens group focal length;

Jx=lens group video angle;

Lx=lens group is to the spacing of target to be monitored;

The complete monitored picture area of Px=;

△ S=time variable=M-N;

△ P=area variable=Pm/Pn

When △ S<X second, △ P<Y1, when Pm<Z1, is defined as minute leakage:

When △ S<X second, △ P>Y2, when Pm>Z2, is defined as instantaneous leak.

Next, give an example above-mentioned formula made an explanation:

Pattern analysis software can freely be separated out maximum 64 independent guarded regions in a complete picture, to the infrared image analysis of each independently guarded region, quantitatively calculate with judge module the infrared image of each independent guarded region is carried out quantitatively calculating and judgement, judge the grade of Leakage Gas, and then trigger corresponding warning at different levels.Accurate to the monitoring of target to be measured like this, timely and careful.

First set:

Temperature mxm. in Tmax=picture in arbitrary thermometric region;

△ T=temperature variable=Tm-Tn;

Set one group of value that triggers temperature alarming condition, as:

When arbitrary time point, when Tmax>E, start third level danger warning.

When in the △ S time, when △ T>D2, start second level danger warning.

When in the △ S time, when D1≤△ T≤D2, start first order danger warning.

D=temperature gap;

Next, give an example above-mentioned formula made an explanation:

Equally, temperature sensing module can freely be separated out maximum 64 independent guarded regions in a complete picture, the temperature of the infrared image to each independently guarded region is surveyed and is analyzed, quantitatively calculate with judge module the analysis result of each independent guarded region is calculated, judge that alarm level triggers corresponding warnings at different levels.Accurate to the monitoring of target to be measured like this, timely and careful.

Analytic unit is by having data-handling capacity in this manual, and computer system that can operating software is implemented.Described image pre-analysis module, image qualitative analysis module, quantitative calculating and judge module, temperature sensing module, aid identification module, warning function module can be the firmwares being integrated in this computer system, can be also the software that can be separated with computer system.

Note, above are only preferred embodiment of the present invention and institute's application technology principle.Skilled person in the art will appreciate that and the invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious variations, readjust and substitute and can not depart from protection scope of the present invention.Therefore, although the present invention is described in further detail by above embodiment, the present invention is not limited only to above embodiment, in the situation that not departing from the present invention's design, can also comprise more other equivalent embodiment, and scope of the present invention is determined by appended claim scope.

Claims

1. the supervisory system that olefin gas leaks, comprising:

Probe unit, comprises infrared thermography, comprises olefin gas recognizer in described infrared thermography, and described probe unit is for surveying and imaging region to be measured;

Analytic unit, comprise image pre-analysis module and image qualitative analysis module, image pre-analysis module comprises to be analyzed starting the olefin gas recognizer image that described probe unit is surveyed before, determine whether gas, the image that after image qualitative analysis module starts olefin gas recognizer, described probe unit is surveyed is identified and is analyzed, and determines whether olefin gas;

Control and driver element, connect described probe unit and analytic unit, according to the olefin gas recognizer in the analysis result control of analytic unit and driving probe unit;

Alarm unit, connects described analytic unit, reports to the police according to the analysis result of described analytic unit.

2. the supervisory system that olefin gas as claimed in claim 1 leaks, wherein, in described analytic unit, also comprise quantitative calculating and judge module, quantitatively calculate the condition that comprises default triggering warnings at different levels with judge module, after image qualitative analysis module is carried out qualitative analysis, the variation of the infrared image gas area to region to be measured is calculated and judgement, start dissimilar warning, what described gas graphics area changed is calculated as before and after the certain hour of interval, the ratio that gas image area changes.

3. the supervisory system that olefin gas as claimed in claim 1 leaks, wherein, image qualitative analysis module analysis gas to be measured, whether by the bandpass filter of described olefin gas recognizer, in the time judging gas to be measured by band pass filter, determines that gas to be measured is olefin gas.

4. the supervisory system that olefin gas as claimed in claim 1 leaks, wherein, also comprises temperature sensing module in described analytic unit, the temperature of the infrared image of described temperature sensing module to region to be measured is surveyed and analyzed.

5. the supervisory system that olefin gas as claimed in claim 4 leaks, wherein, in described analytic unit, also comprise quantitative calculating and judge module, quantitatively calculate the condition that comprises default triggering warnings at different levels with judge module, in monitor procedure, the temperature variation that the infrared image in region to be measured is shown is calculated and judgement, starts dissimilar warning.

6. the supervisory system of leaking as the olefin gas as described in arbitrary in claim 1-5, wherein, described olefin gas recognizer comprises rotating disk, and is arranged on band pass filter and empty window on rotating disk.

7. the supervisory system that olefin gas as claimed in claim 6 leaks, wherein, described olefin gas recognizer comprises 3-5 length of a film wavestrip pass filter or 2 medium wave band pass filters.

8. the supervisory system that olefin gas as claimed in claim 6 leaks, wherein, described olefin gas recognizer comprises 3 length of a film wavestrip pass filters, its centre wavelength is respectively 10.1 ± 0.02,10.399 ± 0.02,12.28 ± 0.02 microns; Or described olefin gas recognizer comprises 5 length of a film wavestrip pass filters, and its centre wavelength is respectively 10.1 ± 0.02,10.37 ± 0.02,10.399 ± 0.02,11.24 ± 0.02,12.28 ± 0.02 microns; Or described olefin gas recognizer comprises 2 medium wave bandpass filters, 3.24 ± 0.02,3.31 ± 0.02 microns respectively of its centre wavelengths.

9. the supervisory system that the olefin gas as described in claim 2 or 5 leaks, wherein, described alarm unit comprises three grades of warning function modules.

10. the supervisory system of leaking as the olefin gas as described in arbitrary in claim 1-5, wherein, this analytic unit also comprises aid identification module, and the information of this aid identification resume module has one or more in the facility information in region to be measured, work information, environmental information, visible ray camera information.

11. supervisory systems of leaking as the olefin gas as described in arbitrary in claim 1-5, wherein, also comprise display device, with the position that shows that olefin gas leaks or temperature anomaly occurs in described alarm unit.

12. supervisory systems of leaking as the olefin gas as described in arbitrary in claim 1-5, wherein, also comprise the explosion-proof and power supply unit being connected with probe unit.

13. 1 kinds of method for supervising that olefin gas leaks, comprise the following steps:

Adopt the infrared thermography detection of a target in probe unit, obtain infrared image;

Adopt image pre-analysis module to analyze obtained infrared image;

According to the analysis result of image pre-analysis module, while finding that there is gas, control with driver element and start the olefin gas recognizer in infrared thermoviewer, carry out image detection, image qualitative analysis module is identified and is analyzed surveyed image, determines whether that olefin gas leaks;

When determine be olefin gas leak time, adopt alarm unit report to the police.

The method for supervising that 14. olefin gas as claimed in claim 13 leak, wherein, in described image qualitative analysis module, surveyed image is identified and analyzed and comprise whether analyze gas to be measured passes through the bandpass filter of described olefin gas recognizer, in the time judging gas to be measured by band pass filter, determine that gas to be measured is olefin gas.

The method for supervising that 15. olefin gas as claimed in claim 13 leak, wherein, be judged as after olefin gas leakage, also comprise adopting quantitatively to calculate with the variation of the infrared image gas area of judge module to region to be measured and calculate and judgement, start dissimilar warning, what described gas graphics area changed is calculated as before and after the certain hour of interval, the ratio that gas image area changes.

The method for supervising that 16. olefin gas as claimed in claim 13 leak, also comprises and adopts the temperature of the infrared image of temperature sensing module to region to be measured to survey and analyze.

The method for supervising that 17. olefin gas as claimed in claim 16 leak, wherein, also comprises quantitative calculating and judge module in described analytic unit, the carrying out of the temperature variation that the infrared image in region to be measured is shown calculated and judgement, starts dissimilar warning.

18. method for supervising that leak as the olefin gas as described in arbitrary in claim 13-17, wherein, described olefin gas recognizer comprises 3 length of a film wavestrip pass filters or 2 medium wave band pass filters.

The method for supervising that 19. olefin gas as claimed in claim 18 leak, wherein, image qualitative analysis module is identified and is analyzed surveyed image, analyze gas to be measured whether when the bandpass filter by described olefin gas recognizer, analyze according to band pass filter centre wavelength order from small to large.

20. method for supervising that leak as the olefin gas as described in arbitrary in claim 13-17, wherein, described olefin gas recognizer comprises 3 length of a film wavestrip pass filters, its centre wavelength is respectively 10.1 ± 0.02,10.399 ± 0.02,12.28 ± 0.02 microns; Or described olefin gas recognizer comprises 5 length of a film wavestrip pass filters, and its centre wavelength is respectively 10.1 ± 0.02,10.37 ± 0.02,10.399 ± 0.02,11.24 ± 0.02,12.28 ± 0.02 microns; Or described olefin gas recognizer comprises 2 medium wave bandpass filters, 3.24 ± 0.02,3.31 ± 0.02 microns respectively of its centre wavelengths.