CN203537498U

CN203537498U - Monitoring system for leakage of olefin gas

Info

Publication number: CN203537498U
Application number: CN201320217002.7U
Authority: CN
Inventors: 黄晓家; 张力; 陈祥初; 孟思齐; 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: 2014-04-09
Anticipated expiration: 2023-04-25

Abstract

Provided is a monitoring system for the leakage of an olefin gas. The monitoring system comprises a detection unit, an analysis unit, a control and driving unit and an alarm unit, the detection unit comprises an infrared thermal imaging device, the infrared thermal imaging device comprises an olefin gas recognizer, the detection unit is used for the detection and the imaging of a detected area, the analysis unit comprises an image pre-analysis module and an image qualitative analysis module, the image pre-analysis module analyzes images detected by the detection unit before the olefin gas recognizer is started and determines whether it is gas or not, the image qualitative analysis module identifies and analyzes the images detected by the detection unit after the olefin gas recognizer is started and determines whether it is olefin gas or not, and the control and driving unit is connected with the detection unit and the analysis unit and controls and drives the olefin gas recognizer in the detection unit according to an analysis result of the analysis unit. The monitoring system is used for on-line monitoring for the leakage of the olefin gas, the leakage of the olefin gas can be detected in time and accurately, and the production safety and continuity can be guaranteed.

Description

The supervisory control system that olefin gas leaks

Technical field

The utility model relates to supervisory control system, relates in particular to the supervisory control system 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 production is disturbed in impact, also may cause security incident, directly threatens people's safety, so the security monitoring in chemical industry place is all subject to people always and payes attention to widely.

Infrared imagery technique has started extensive 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 thering is the gas of harmfulness at present, but for chemical industry place, the supervisory control system that needs a collection detection and alarm integrated, fully guarantee 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 purpose of this utility model is to develop a kind of brand-new, visible olefin gas leak detection of vision and alarm method, forms 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 utility model adopts following technical scheme:

The supervisory control system that olefin gas leaks, comprising: probe unit, comprise infrared thermography, and in described infrared thermography, comprise olefin gas identifier, 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 is analyzed starting the olefin gas identifier image that described probe unit is surveyed before, determine whether gas, the image that after image qualitative analysis module starts olefin gas identifier, 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 analysis result of analytic unit, control and drive the olefin gas identifier in probe unit; Alarm unit, connects described analytic unit, according to the analysis result of described analytic unit, reports to the police.

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 in 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 analysis gas to be measured, whether by the bandpass filter of described olefin gas identifier, when judgement gas to be measured passes through band pass filter, determines that gas to be measured is olefin gas.

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

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 variations in temperature that the infrared image in region to be measured is shown is calculated and judgement, starts dissimilar warning.

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

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

Wherein, described olefin gas identifier 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 identifier 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 identifier 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 unit, 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.

Compared with prior art, the supervisory control system of the disclosed olefin gas leakage of the utility model is applicable to the on-line monitoring that olefin gas leaks, and can detect timely and accurately the leakage of olefin gas, guarantees that the safety of producing is with continuous.

Accompanying drawing explanation

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

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

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

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

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

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

Wherein, description of reference numerals is as follows:

1, camera lens; 2, lens interface; 3, Infrared Detectors; 4, imaging circuit; 5, coding motor; 6, olefin gas identifier 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 utility model is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the utility model, but not to restriction of the present utility model.It also should be noted that, for convenience of description, in accompanying drawing, only show the part relevant to the utility model but not entire infrastructure.

Embodiment mono-:

The present embodiment discloses the supervisory control system that a kind of alkene leaks, and Fig. 1 is the structural representation of the supervisory control system in the present embodiment.As shown in Figure 1, this supervisory control 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 identifier 6, Infrared Detectors 3 and treatment circuit 4, coding motor 5.Fig. 3 is the plan structure schematic diagram of olefin gas identifier 6.As shown in Figure 3, this olefin gas identifier 6 comprises empty window 6-1, black matrix 6-2, band pass filter 6-3,6-4 and the 6-5 being arranged on rotating disk.In Fig. 3, only show the situation that olefin gas identifier comprises three band pass filters, in fact, this olefin gas identifier 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 identifier rotating disk the position of band pass filter and mutually between interval can change.

The operation principle of this olefin gas identifier is as follows: when not powering up or powering up normal imaging, the empty window 6-1 on olefin gas identifier rotating disk is over against Infrared Detectors 3, and now olefin gas identifier is not activated, and guarantees 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 encoder driven by motor rotating disk forwards over against Infrared Detectors 3 black matrix 6-2 to, proofread and correct, after correction, black matrix playback, guarantees that empty window, over against detector, does not affect infrared imaging.When finding that there is olefin gas leakage, software sends instruction by RS485 to circuit board, circuit board is received instruction, start encoder 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, guarantee 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.Encoder motor 5 drives the arbitrarily angled rotation of whole olefin gas identifier rotating disk, and encoder 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 identifier is as follows: under normal condition, empty window 6-1 is over against Infrared Detectors 3, now olefin gas identifier is not activated, namely the band pass filter of olefin gas identifier is not in the light path of imaging, (it is example that target herein be take the production scene in chemical industry place to the detection of a target, but the utility model is not limited 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 by band pass filter, to be stopped at the very start, these infrared emanation energy by Infrared Detectors 3 namely focal plane array be converted into the signal of telecommunication, through imaging circuit, on display, demonstrate infrared image clearly, 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 identifier when follow-up image pre-analysis module has gas characteristic, can to circuit board, send instruction by control unit, when circuit board is received instruction, encoder motor 5 starts olefin gas identifier, rotate successively band pass filter, the gas being passed through is carried out to filtering, with the kind to gas, judge.

What in the present embodiment, Infrared Detectors 3 adopted is focal plane array, what this focal plane array was used is the long wave focal plane array of 8-14 micron, the olefin gas identifier of corresponding employing is long wave olefin gas identifier, the specific band pass filter that sees through bands of a spectrum of 1-5 sheet, consists of.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 steam etc., in the inaccurate situation of judgement, 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 control system, this monitoring site is Chemical Manufacture place, outside at whole probe unit must have explosion-proof guard shield, and has antibomb unit and the power supply unit being connected with probe unit, to guarantee the safe operation of probe unit.

This supervisory control 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 control system also comprises to be controlled and driver element 13, described control is connected described probe unit and analytic unit with driver element, when the infrared image of the image pre-analysis module judgement detection of a target in analytic unit has gas characteristic, this is controlled with driver element and starts encoder motor by drive circuit, encoder electric machine rotation olefin gas identifier rotating disk, namely start olefin gas identifier, make band pass filter over against Infrared Detectors 3, after starting olefin gas identifier, 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 identifier image that probe unit detects afterwards, as previously mentioned, when encoder electric machine rotation band pass filter, band pass filter will stay for some time at detector surface, guarantee 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 identifier.If as encoder motor 5 startups in the present embodiment, first rotate rotating disk, make band pass filter 6-3 on Infrared Detectors 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 drive circuit in control unit gives an order, encoder 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, encoder motor 5 makes sky window 6-1 over against Infrared Detectors 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 control system also comprises alarm unit, and 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 unit, 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, temperature conditions for trigger alarm, as the temperature that presets trigger alarm is 160 ℃, when in the image that temperature sensing module is found to detect, the temperature at scene is higher than 160 ℃, which kind of no longer analyze as gas, directly starting alarm unit reports to the police.Can when having unexpected intensification situation, report to the police rapidly like this, avoid the generation of security incident, for the safety of producing provides a kind of guarantee again.

In the supervisory control system providing at the present embodiment, comprise for scene to be measured being carried out to the probe unit of 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 identifier is controlled, and alarm unit.Each part of this supervisory control system organically combines, scene to be measured is monitored accurately and effectively, can find that olefin gas leaks warning rapidly, guarantee 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, when having unexpected intensification situation, report to the police rapidly, prevent the unexpected security incident that heats up and cause, guarantee the high safety of producing.

Embodiment bis-:

The present embodiment is described the method for supervising that the supervisory control system in employing embodiment mono-is leaked alkene in detail.Fig. 4 shows the flow chart of the method.First, thermal infrared imager does not start olefin gas identifier, namely the band pass filter of olefin gas identifier is not in the light path of imaging, the empty window 6-1 of the rotating disk of olefin gas identifier is over against Infrared Detectors 3, (it is example that target herein be take the production scene in chemical industry place to the detection of a target, but the utility model is not limited 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 by band pass filter, to be stopped at the very start, these infrared emanation energy are converted into the signal of telecommunication by focal plane array, through imaging circuit, on display, demonstrate infrared image clearly, 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 identifier, 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 drive circuit in control and driver element to start encoder motor, rotate the band pass filter on olefin gas identifier rotating disk, make band pass filter over against Infrared Detectors 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 drive circuit start encoder motor, rotate band pass filter 6-3, make band pass filter 6-3 over against Infrared Detectors 3, detect infrared image, the band pass filter 6-3 image that probe unit detects afterwards that described image qualitative analysis module is 10.1 ± 0.02 microns to startup centre wavelength is analyzed, and whether analyzes gas to be measured by the bandpass filter 6-3 of described olefin gas identifier.If do not passed through, prove that this gas is not olefin gas, may be other gases such as steam, the drive circuit in control and driver element playbacks band pass filter 6-3 by encoder electric machine rotation alkene identifier rotating disk, empty window 6-1 is over against Infrared Detectors 3, and whole supervisory control 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 encoder motor, rotate olefin gas identifier rotating disk, make band pass filter 6-4 over against Infrared Detectors 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 steam, the drive circuit in control and driver element playbacks band pass filter 6-4 by encoder electric machine rotation alkene identifier rotating disk, empty window 6-1 is over against Infrared Detectors 3, and whole supervisory control 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 encoder motor, rotate alkene identifier rotating disk, make band pass filter 6-5 over against Infrared Detectors 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 steam, the drive circuit in control and driver element playbacks band pass filter 6-5 by encoder electric machine rotation alkene identifier rotating disk, empty window 6-1 is over against Infrared Detectors 3, whole supervisory control 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 that can to judge exactly be in such a way that olefin gas leaks, 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 to the production scene in chemical industry place, monitor online, and can report to the police exactly, can avoid leaking because of olefin gas the generation of the security incident causing, can prevent the economic loss that false alarm brings again.

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, temperature conditions for trigger alarm, as the temperature that presets trigger alarm is 160 ℃, when in the image that temperature sensing module is found to detect, the temperature at scene is higher than 160 ℃, think and occurred extremely, directly start alarm unit and report to the police.Can when having unexpected intensification situation, report to the police rapidly like this, avoid the generation of security incident, for the safety of producing provides a kind of guarantee again.

Embodiment tri-:

The present embodiment discloses the supervisory control system that another kind of alkene leaks.Fig. 6 shows the structural representation of this supervisory control system.This supervisory control system comprises probe unit, and this probe unit comprises infrared thermography, and described infrared thermography is identical with the structure of infrared thermography in embodiment mono-.Comprise camera lens, lens interface, olefin gas identifier, Infrared Detectors and treatment circuit, coding motor.Under normal condition, empty window 6-1 is over against Infrared Detectors 3, now olefin gas identifier is not activated, namely the band pass filter of olefin gas identifier is not in the light path of imaging, (it is example that target herein be take the production scene in chemical industry place to the detection of a target, but the utility model is not limited 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 by band pass filter, to be stopped at the very start, these infrared emanation energy by Infrared Detectors namely focal plane array be converted into the signal of telecommunication, through imaging circuit, on display, demonstrate infrared image clearly, 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 identifier when follow-up image pre-analysis module has gas characteristic, can send instruction to the drive circuit in control unit, when circuit board is received instruction, encoder motor 5 starts olefin gas identifier, rotate successively band pass filter, the gas being passed through is carried out to filtering, with the kind to gas, judge.

What in the present embodiment, Infrared Detectors 3 adopted is focal plane array, what this focal plane array was used is the long wave focal plane array of 8-14 micron, the olefin gas identifier of corresponding employing is long wave olefin gas identifier, the specific band pass filter that sees through bands of a spectrum of 1-5 sheet, consists of.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 steam etc., in the inaccurate situation of judgement, 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 control 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 control system also comprises to be controlled and driver element, described control is connected described probe unit and analytic unit with driver element, when the infrared image of the image pre-analysis module judgement detection of a target in analytic unit has for gas characteristic, this is controlled with driver element and starts encoder motor by drive circuit, encoder electric machine rotation olefin gas identifier rotating disk, namely start olefin gas identifier, make band pass filter over against Infrared Detectors 3, after starting olefin gas identifier, 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 identifier image that probe unit detects afterwards, as previously mentioned, when encoder electric machine rotation band pass filter, band pass filter will stay for some time at detector surface, guarantee 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 identifier.If as encoder motor 5 startups in the present embodiment, first rotate band pass filter 6-3, make band pass filter 6-3 on Infrared Detectors 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 drive circuit in control unit gives an order, encoder 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, encoder motor 5 makes sky window 6-1 over against Infrared Detectors 3, be returned to normal monitor state.

Compare with embodiment mono-, in the present embodiment, in analytic unit, also comprise quantitative calculating and judge module, when 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 unit, 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 control system providing at the present embodiment, comprise for scene to be measured being carried out to the probe unit of 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 identifier is controlled, for the state leaking being analyzed and being calculated, differentiate quantitative calculating and judge module for different leak condition, and the alarm unit with three grades of alarm modes.Each part of this supervisory control 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 guaranteed 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 guarantee the high safety of producing.

Embodiment tetra-:

Next describe the method for supervising that the supervisory control system in employing embodiment tri-is leaked alkene in detail.Fig. 7 is the flow chart of the method.As shown in Figure 7, first, thermal infrared imager does not start olefin gas identifier, namely the band pass filter of olefin gas identifier is not in the light path of imaging, the empty window 6-1 of the rotating disk of olefin gas identifier is over against Infrared Detectors 3, (it is example that target herein be take the production scene in chemical industry place to the detection of a target, but the utility model is not limited 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 by band pass filter, to be stopped at the very start, these infrared emanation energy are converted into the signal of telecommunication by focal plane array, through imaging circuit, on display, demonstrate infrared image clearly, more be conducive to the monitoring to production scene safety.

The method of judgement be first control with driver element in drive circuit start encoder motor, rotation makes band pass filter 6-3, make band pass filter over against Infrared Detectors 3, detect infrared image, described image qualitative analysis module is that the image that probe unit detects after the band pass filter 6-3 of 10.1 ± 0.02 microns is analyzed to starting centre wavelength, analyzes gas to be measured and whether by the bandpass filter of described olefin gas identifier, analyzes gas to be measured 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 steam, the drive circuit in control and driver element playbacks band pass filter 6-3 by encoder electric machine rotation alkene identifier rotating disk, empty window 6-1 is over against Infrared Detectors 3, and whole supervisory control 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 encoder motor, rotate alkene identifier rotating disk, make band pass filter 6-4 over against Infrared Detectors 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 steam, the drive circuit in control and driver element playbacks band pass filter 6-4 by encoder electric machine rotation alkene identifier rotating disk, empty window 6-1 is over against Infrared Detectors 3, and whole supervisory control 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 encoder motor, rotate alkene identifier rotating disk, make band pass filter 6-5 over against Infrared Detectors 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 steam, the drive circuit in control and driver element playbacks band pass filter 6-5 by encoder electric machine rotation alkene identifier rotating disk, empty window 6-1 is over against Infrared Detectors 3, and whole supervisory control 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 that can to judge exactly be in such a way that olefin gas leaks, 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.

Compare with embodiment bis-, in the present embodiment, when 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 identifier 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 control system is definite, Fx, Jx, Lx, Px is fixing value, calculates the variable of gas graphics area in regular hour excursion, and presets the value of one group of trigger condition, as:

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

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

When △ S<X second, △ P>Y2, during 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 of proof 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 for 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 of proof 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 of proof Leakage Gas is very large, think that this leakage is for 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, when the variation by gas image area of quantitative calculating and judge module is judged as the condition of satisfied [instantaneous leak], 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 the variation by gas image area with judge module while meeting the condition of [continue to leak)], 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 when quantitatively calculating and judge module pass through the condition of the variation satisfied [minute leakage] 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 explanation 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 each infrared image analysis of guarded region independently, quantitatively calculate with judge module the infrared image of each independent guarded region is carried out quantitatively calculating and judgement, the grade of judgement 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, to the effective monitoring of 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 the monitoring of target temperature to be measured and analysis.

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 that temperature sensing module surveys and analyze the variation of this temperature.

Due in chemical industry place, organic compound when gasification because a large amount of heat absorptions can cause that local temperature changes rapidly, and when 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 variations in temperature is before and after the certain hour of interval, the rise of temperature, and the mode of calculating is as follows:

First set:

Temperature peak 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 X second with interior arbitrary value in thermometric software;

△ T=temperature variable=Tm-Tn;

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

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

Within the △ S time, during △ T>D2, start second level danger warning.

Within the △ S time, during 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 ℃, D2=5 ℃, the E=160 ℃ 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 ℃, that is to say in 15s, and the temperature in thermometric region has raise, but the temperature range raising is between 2 ℃ and 5 ℃, now quantitatively calculates with judge module and triggers first order danger warning.

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

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

For said temperature, change three kinds of situations, alarm unit has three grades of warning function modules, when result temperature sensing module detects the condition of temperature satisfied [Tmax>160 ℃], 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 quantitative calculating meets the calculating of variations in temperature with judge module, [△ S<15 is during second, △ T> ± 5 ℃] 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 variations in temperature being met to the condition of [△ S<15 during second, ± 2 ℃≤△ T≤± 5 ℃] with judge module, three grades of warning function modules start first order danger warning, now screen display warning messages.

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

Equally, temperature sensing module can freely be separated out maximum 64 independent guarded regions in a complete picture, to each independently the temperature of the infrared image of guarded region survey and analyze, quantitatively calculate with judge module the analysis result of each independent guarded region is calculated, judgement 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 raises and occurs, be convenient to timely processing, to the effective monitoring of 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 variations in temperature with judgement, when arbitrary in determining target to be measured in the gas area of infrared image or temperature meets alert if, trigger alarm.

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

In the present embodiment, can be to define olefin gas and 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 important function for the raising of production efficiency and the reinforcement of safety guarantee.

Embodiment five:

The present embodiment discloses the supervisory control system that another kind of alkene leaks.Compare with embodiment tri-, the disclosed supervisory control 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 analysis 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 when analyzing olefin gas and leak.

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

Environmental information: provide the real-time environmental information that comprises wind speed, wind direction, temperature to system by near the meteorological observation instrument being arranged on target to be monitored.When 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.

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

Embodiment six:

The present embodiment discloses the supervisory control system that another kind of alkene leaks.This supervisory control system comprises probe unit, and this probe unit comprises infrared thermography, and described infrared thermography is identical with the structure of infrared thermography in embodiment mono-, comprise camera lens, lens interface, olefin gas identifier, Infrared Detectors and treatment circuit, coding motor.Under normal condition, empty window 6-1 is over against Infrared Detectors 3, now olefin gas identifier is not activated, namely the band pass filter of olefin gas identifier is not in the light path of imaging, (it is example that target herein be take the production scene in chemical industry place to the detection of a target, but the utility model is not limited 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 by band pass filter, to be stopped at the very start, these infrared emanation energy by Infrared Detectors namely focal plane array be converted into the signal of telecommunication, through imaging circuit, on display, demonstrate infrared image clearly, more be conducive to the monitoring to production scene safety.

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

The focal plane array that in the present embodiment, Infrared Detectors 3 adopts is the medium wave focal plane array of 3-5 micron, and the olefin gas identifier of corresponding employing is medium wave olefin gas identifier, the specific medium wave band pass filter that sees through bands of a spectrum of 1-2 sheet, consists of.The plan structure schematic diagram of olefin gas identifier as shown in Figure 8, has equally sky window 6-1 on the rotating disk of olefin gas identifier, and black matrix 6-2 just compares 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 identifier 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 steam etc., in the inaccurate situation of judgement, 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 control 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 control system also comprises to be controlled and driver element, described control is connected described probe unit and analytic unit with driver element, when the infrared image of the image pre-analysis module judgement detection of a target in analytic unit has for gas characteristic, this is controlled with driver element and starts encoder motor by drive circuit, encoder electric machine rotation olefin gas identifier rotating disk, namely start olefin gas identifier, make band pass filter over against Infrared Detectors 3, after starting olefin gas identifier, 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, to starting olefin gas identifier image afterwards, analyze.As previously mentioned, when encoder electric machine rotation band pass filter, band pass filter will stay for some time at detector surface, guarantee 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 identifier.If as encoder motor 5 startups in the present embodiment, first rotate band pass filter 6-6, make band pass filter 6-6 on Infrared Detectors 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 drive circuit in control unit gives an order, encoder 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, encoder motor 5 makes sky window 6-1 over against Infrared Detectors 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 a kind of preferred mode, in analytic unit, also comprise quantitative calculating and judge module, when 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 control system providing at the present embodiment, comprise for scene to be measured being carried out to the probe unit of 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 identifier is controlled, for the state leaking being analyzed and being calculated, differentiate quantitative calculating and judge module for the state of different leakages, and the alarm unit with three grades of alarm modes.Each part of this supervisory control 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 guaranteed 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, when having unexpected intensification situation, reports to the police rapidly simultaneously, prevents the unexpected security incident that heats up and cause, guarantees the high safety of producing.

Embodiment seven:

Next describe the method for supervising that the supervisory control system in employing embodiment six is leaked alkene in detail.First, first thermal infrared imager does not start olefin gas identifier, thermal infrared imager does not start olefin gas identifier, namely the band pass filter of olefin gas identifier is not in the light path of imaging, the empty window 6-1 of the rotating disk of olefin gas identifier is over against Infrared Detectors 3, (it is example that target herein be take the production scene in chemical industry place to the detection of a target, but the utility model is not limited 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 by band pass filter, to be stopped at the very start, these infrared emanation energy are converted into the signal of telecommunication by focal plane array, through imaging circuit, on display, demonstrate infrared image clearly, more be conducive to the monitoring to production scene safety.

The method of judgement be first control with driver element in drive circuit start encoder motor, rotation makes band pass filter 6-6, make band pass filter 6-6 over against Infrared Detectors 3, detect infrared image, the band pass filter 6-6 image that probe unit detects afterwards that described image qualitative analysis module is 3.24 ± 0.02 microns to startup centre wavelength is analyzed and is identified, 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 steam, the drive circuit in control and driver element playbacks band pass filter 6-6 by encoder electric machine rotation alkene identifier rotating disk, empty window 6-1 is over against Infrared Detectors 3, whole supervisory control 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 encoder motor, rotate alkene identifier rotating disk, make band pass filter 6-7 over against Infrared Detectors 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 steam, other gases such as carbon dioxide, the drive circuit in control and driver element playbacks band pass filter 6-7 by encoder electric machine rotation alkene identifier rotating disk, empty window 6-1 is over against Infrared Detectors 3, whole supervisory control 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, when 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, during Pm<Z1, is defined as minute leakage:

When △ S<X second, △ P>Y2, during 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 each infrared image analysis of guarded region independently, quantitatively calculate with judge module the infrared image of each independent guarded region is carried out quantitatively calculating and judgement, the grade of judgement 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 peak 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, during Tmax>E, start third level danger warning.

Within the △ S time, during △ T>D2, start second level 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, to each independently the temperature of the infrared image of guarded region survey and analyze, quantitatively calculate with judge module the analysis result of each independent guarded region is calculated, judgement 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 utility model and institute's application technology principle.Skilled person in the art will appreciate that the utility model is not limited 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 range of the present utility model.Therefore, although the utility model is described in further detail by above embodiment, but the utility model is not limited only to above embodiment, in the situation that not departing from the utility model design, can also comprise more other equivalent embodiment, and scope of the present utility model is determined by appended claim scope.

Claims

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

Probe unit, comprise infrared thermography, in described infrared thermography, comprise olefin gas identifier and Infrared Detectors, described olefin gas identifier comprises band pass filter and empty window, before starting olefin gas identifier, described empty window and described Infrared Detectors over against, after described startup olefin gas identifier, described band pass filter and described Infrared Detectors over against, described probe unit for region to be measured is surveyed and imaging;

Analytic unit, comprise image pre-analysis module and image qualitative analysis module, image pre-analysis module is analyzed starting the olefin gas identifier image that described probe unit is surveyed before, determine whether gas, the image that after image qualitative analysis module starts olefin gas identifier, 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 analysis result of analytic unit, control and drive the olefin gas identifier in probe unit;

Alarm unit, connects described analytic unit, according to the analysis result of described analytic unit, reports to the police; Wherein said image pre-analysis module and image qualitative analysis module are the firmwares being integrated in computer system.

2. the supervisory control 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 in 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 said quantitative calculating and judge module are the firmwares being integrated in computer system.

3. the supervisory control 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 identifier, when judgement gas to be measured passes through band pass filter, determines that gas to be measured is olefin gas.

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

5. the supervisory control 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 variations in temperature that the infrared image in region to be measured is shown is calculated and judgement, starts dissimilar warning.

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

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

8. the supervisory control system that olefin gas as claimed in claim 6 leaks, wherein, described olefin gas identifier 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 identifier 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 identifier comprises 2 medium wave bandpass filters, 3.24 ± 0.02,3.31 ± 0.02 microns respectively of its centre wavelengths.

9. the supervisory control system that the olefin gas as described in claim 2 or 5 leaks, wherein, described alarm unit comprises three grades of warning function modules, wherein said warning function module is the firmware being integrated in computer system.

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

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

12. supervisory control 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.