CN104677429A - Intelligent comprehensive fault diagnosis system and intelligent comprehensive fault diagnosis method - Google Patents

Intelligent comprehensive fault diagnosis system and intelligent comprehensive fault diagnosis method Download PDF

Info

Publication number
CN104677429A
CN104677429A CN201510132526.XA CN201510132526A CN104677429A CN 104677429 A CN104677429 A CN 104677429A CN 201510132526 A CN201510132526 A CN 201510132526A CN 104677429 A CN104677429 A CN 104677429A
Authority
CN
China
Prior art keywords
fault diagnosis
intelligent comprehensive
signal
chip
upper monitoring
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201510132526.XA
Other languages
Chinese (zh)
Other versions
CN104677429B (en
Inventor
周广生
李春雷
扈素红
程桯
刘真
白洪强
张强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Software Ltd By Share Ltd
Original Assignee
Shandong Iron and Steel Group Co Ltd SISG
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shandong Iron and Steel Group Co Ltd SISG filed Critical Shandong Iron and Steel Group Co Ltd SISG
Priority to CN201510132526.XA priority Critical patent/CN104677429B/en
Publication of CN104677429A publication Critical patent/CN104677429A/en
Application granted granted Critical
Publication of CN104677429B publication Critical patent/CN104677429B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Testing And Monitoring For Control Systems (AREA)
  • Closed-Circuit Television Systems (AREA)
  • Alarm Systems (AREA)

Abstract

The invention provides an intelligent comprehensive fault diagnosis system and an intelligent comprehensive fault diagnosis method. The intelligent comprehensive fault diagnosis system comprises a set of detection equipment, and is characterized in that the detection equipment is respectively connected with a PLC controller; the PLC controller communicates with an upper monitoring computer; the upper monitoring computer is connected with a DSP image processing chip and a console control single-chip microcomputer; the DSP image processing chip is connected with an image memory; the console control single-chip microcomputer is connected with a driving motor; the driving motor is connected with an all-dimensional console; a camera is arranged on the all-dimensional console; the camera is connected with a video coding chip; the video coding chip is connected with the image memory and the DSP image processing chip. The system can be used for prevention of accidents and guidance for field accident repair, and on the other hand, the detection ways of an industrial automatic system are added, so that abnormal conditions in video information can be discovered.

Description

A kind of intelligent comprehensive fault diagnosis system and diagnostic method
Technical field
The present invention relates to the resultant fault diagnostic system that a kind of robotization is merged mutually with video monitoring, specifically, relate to a kind of intelligent comprehensive fault diagnosis system and diagnostic method.
Background technology
Along with science and technology, economic development, the demand of people to safety guard grows with each passing day, and also payes attention to all the more the monitoring of critical facility, thus video surveillance management system is widely used in all trades and professions.By means of the powerful data-handling capacity of computing machine, video monitoring system can data in high speed analysis video image, and analyze key message wherein and extract, and carry out intelligentized analysis, judgement and process.Use correlation technique, the electronics such as identification deploy troops on garrison duty function that intelligent video monitoring system has achieved moving object identification, object crosses the border.But in real life, video monitoring system and other automatic control systems separate, its information presented can only be understood by human brain, limits the range of application of video monitoring system.Seamless for video information embedding automation control area is increased considerably its range of application in the urgent need to a kind of approach by people.
The fast development of automated system makes the automaticity of plant produced more and more higher, and the fault diagnosis of industrial automation system and accident prevention become the bottleneck of its development.In some dangerous situations or the severe especially occasion of environmental baseline, production management and operating personnel cannot be close, once occur that dangerous situation cannot catch the situation of instant of failure in the very first time, bring difficulty to fault analysis, accident prevention.In addition, although the signal detection means of automated system is a lot, lacking a kind of method can carry out comprehensive analysis processing by real-time drawing-in systems of information such as the images of exception or trouble spot; this is also one piece of short slab of automated system; if completion, its function will be expanded, increase practical function.
Summary of the invention:
The technical problem to be solved in the present invention is to provide a kind of intelligent comprehensive fault diagnosis system and diagnostic method, can be used for the prevention of accident and the repairing of guide field accident, add on the other hand the detection means of industrial automation system, make the abnormal conditions that it can find in video information.
The present invention adopts following technical scheme to realize goal of the invention:
A kind of intelligent comprehensive fault diagnosis system, comprise one group of checkout equipment, it is characterized in that: described checkout equipment all connects PLC, described PLC and upper monitoring compunication, described upper monitoring computing machine connects DSP picture processing chip and cradle head control single-chip microcomputer, described DSP picture processing chip connects video memory, described cradle head control single-chip microcomputer connects drive motor, described drive motor connects all-directional tripod head, described all-directional tripod head is provided with camera, described camera connects video coding chip, described video coding chip connects described video memory and DSP picture processing chip.
As the further restriction to the technical program, described drive motor comprises and horizontally rotates motor and vertical rotation motor.
As the further restriction to the technical program, described checkout equipment adopts pressure unit.
As the further restriction to the technical program, described checkout equipment adopts flowmeter.
As the further restriction to the technical program, described checkout equipment adopts radar level gauge.
As the further restriction to the technical program, described checkout equipment adopts pH value detecting device.
As the further restriction to the technical program, described checkout equipment adopts SO 2density Detection Instrument.
A kind of intelligent comprehensive method for diagnosing faults, is characterized in that, comprise the steps:
(1) PLC industrial field control device detects fault-signal from scene by field detecting device, and by network, fault-signal is transferred to upper monitoring computing machine, upper monitoring computing machine is analyzed fault by software after receiving fault-signal, determine fault origination point position, and this positional information is converted to position command transfers to cradle head control single-chip microcomputer;
(2) cradle head control single-chip microcomputer carries out track up according to upper monitoring computer analysis results to predetermined failure point position, rapidly the key position of locking time of crisis;
(3) camera locks position of failure point rapidly and carries out snapshot candid photograph to it, and the snapshot formed at this is the valuable material that can be used for accident prevention and instruct accident maintenance;
(4) moving object identification, intelligence DSP picture processing chip leads to level and smooth, the sharpening pre-service of video image after receiving the digital video signal from video coding chip, the moving object occurred in the visual field is gone out again by the data analysing method Real time identification of background difference, also can realize moving object identification in camera by means of the computer vision storehouse OpenCV that increases income, and send alerting signal;
(5) system sends alerting signal after identifying moving object, and this alerting signal is sent to upper monitoring computing machine, and supervisory control comuter passes to PLC after receiving this signal, and PLC makes chain reaction according to this signal.
Compared with prior art, advantage of the present invention and good effect are: the present invention by camera collection to analog video signal first enter video coding chip, by this coding chip, simulating signal is converted to digital video signal, the digital video signal converted enters intelligent DSP picture processing chip subsequently and carries out pre-service, under the effect of control signal, the view data needing to carry out storing is sent into video memory to store, the video data completed via the process of DSP picture processing chip then outputs to upper monitoring computing machine by video-out port simultaneously.Upper monitoring computing machine is the command scheduling center of native system, and first upper monitoring computing machine will realize and the video information of picture processing chip and the mutual of control command thereof; Secondly upper monitoring computing machine will realize the supervisory and control of industrial field device with PLC industrial field control device; Upper monitoring computing machine also will carry out serial communication with cradle head control Single Chip Microcomputer (SCM) system thus indirectly realize the control to camera shooting angle again.
Accompanying drawing explanation
Fig. 1 is functional-block diagram of the present invention.
Embodiment:
Below in conjunction with embodiment, further illustrate the present invention.
See Fig. 1, the present invention includes one group of checkout equipment, described checkout equipment all connects PLC 6, described PLC 6 communicates with upper monitoring computing machine 5, described upper monitoring computing machine 5 connects DSP picture processing chip 3 and cradle head control single-chip microcomputer 7, described DSP picture processing chip 3 connects video memory 4, described cradle head control single-chip microcomputer 7 connects drive motor, described drive motor connects all-directional tripod head 10, described all-directional tripod head 10 is provided with camera 1, described camera 1 connects video coding chip 2, described video coding chip 2 connects described video memory 4 and DSP picture processing chip 3.
Described drive motor comprises and horizontally rotates motor 8 and vertical rotation motor 9.
First the analog video signal collected by camera 1 enters video coding chip 2, by this coding chip 2, simulating signal is converted to digital video signal, the digital video signal converted enters intelligent DSP picture processing chip 3 subsequently and carries out pre-service, under the effect of control signal, the view data needing to carry out storing is sent into video memory 4 to store, the video data processed via DSP picture processing chip 3 then outputs to upper monitoring computing machine 5 by video-out port simultaneously.
Upper monitoring computing machine 5 is command scheduling centers of native system, and first upper monitoring computing machine 5 will realize and the video information of DSP picture processing chip 3 and the mutual of control command thereof; Secondly upper monitoring computing machine 5 will realize the supervisory and control of industrial field device with industry spot PLC 6; Upper monitoring computing machine 5 also will carry out serial communication with cradle head control single-chip microcomputer system 7 thus indirectly realize the control to camera 1 shooting angle again.
PLC 6 can receive the detection signal from field apparatus and instrument and transfer to upper monitoring computing machine 5 by Industrial Ethernet, also can accept the control signal from upper monitoring computing machine 5 and be exported to field apparatus.Certain region setting pressure transmitter, flowmeter, radar level gauge, pH value detecting device and SO respectively in the industrial production 2density Detection Instrument is to the pipeline pressure in this region, fluid flow, liquid storage pool liquid level, liquid storage pool pH value and gas S0 2concentration detects, and the correlation parameter recorded all accesses PLC 6, and transfers to upper monitoring computing machine 5 eventually through Industrial Ethernet.Equipment control command from upper monitoring computing machine 5 also can transfer to PLC 6 by Industrial Ethernet, and is finally issued to the equipment such as valve, motor, frequency converter, audible-visual annunciator, thus controls the operation of relevant device.
Cradle head control single-chip microcomputer 7 is made up of single-chip microcomputer and peripheral function circuit thereof, it can receive the serial order from upper monitoring computing machine and be converted into drive and horizontally rotate the voltage signal level of control rotary electric machine 8 of motor 8 and vertical rotation motor 9 and the operation of vertical rotation motor 9, and the gearing eventually through all-directional tripod head 10 controls the shooting angle of camera.
Upper monitoring computer software is by the function of the real-time monitored picture of VC programming realization, this monitored picture can carry out alternately with video equipment on the one hand, realize video monitoring function, also can carry out alternately, realizing industry automatic control function with PLC on the other hand.
Cradle head control single-chip microcomputer is by the following function of realization of debugging of hardware and software program: receive the position command from upper monitoring computing machine, and horizontally rotate motor and vertical rotation motor according to the driving of this position command, under the gearing of The Cloud Terrace, realize 360 degree of adjustment and the vertical direction 90 degree adjustment in the horizontal direction of video camera shooting angle, and able to programme multiple preset point is set.
PLC industrial field control device detects the fault-signal from scene by Site Detection instrument, and by network, fault-signal is transferred to upper monitoring computing machine, upper monitoring computing machine is analyzed fault by software after receiving fault-signal, determine fault origination point position, and this positional information is converted to position command transfers to cradle head control Single Chip Microcomputer (SCM) system.Cradle head control Single Chip Microcomputer (SCM) system realizes the track up to predetermined failure point position based on function 2.This function can lock rapidly the key position of time of crisis.Such as, this function is applied to Diagnosis of Work Conditions in Chemical Manufacture hermetic type reactor, lay a thermopair to detect this local temperature at reactor madial wall every certain angle, the position of these points for measuring temperature is set to preset point by simultaneity factor intelligent console.System acceptance to thermopair detected temperatures and to these temperature parameters carry out analysis judge, just drive intelligent console to make camera lock rapidly this position to take once there be a certain preset point temperature to exceed system when certain threshold sends warning, thus fast discovery may produce the some position of fault surely, this is significant to the fault emergency command of this product line.
Camera locks position of failure point rapidly and carries out snapshot candid photograph to it, and the snapshot formed at this is the valuable material that can be used for accident prevention and instruct accident maintenance.
Intelligence DSP picture processing chip to receive after the digital video signal from front-end equipment by C language programming realization pre-service such as level and smooth, the sharpenings of video image, the moving object occurred in the visual field is gone out again by background subtraction data analysing method Real time identification of grading, also can realize moving object identification in camera by means of the computer vision storehouse OpenCV that increases income, and send alerting signal.
System sends alerting signal after identifying moving object, and this alerting signal is sent to upper monitoring computing machine, and supervisory control comuter passes to PLC industrial field control device after receiving this signal, and PLC makes chain reaction according to this signal.Such as, once there is the moving object such as people or vehicle in the video monitoring visual field in certain industrial site spray ammonia region, system sends alerting signal and automatically makes the chain reaction of closing spray ammonia valve door, prevents field staff from coming to harm.

Claims (8)

1. an intelligent comprehensive fault diagnosis system, comprise one group of checkout equipment, it is characterized in that: described checkout equipment all connects PLC, described PLC and upper monitoring compunication, described upper monitoring computing machine connects DSP picture processing chip and cradle head control single-chip microcomputer, described DSP picture processing chip connects video memory, described cradle head control single-chip microcomputer connects drive motor, described drive motor connects all-directional tripod head, described all-directional tripod head is provided with camera, described camera connects video coding chip, described video coding chip connects described video memory and DSP picture processing chip.
2. intelligent comprehensive fault diagnosis system according to claim 1, is characterized in that: described drive motor comprises and horizontally rotates motor and vertical rotation motor.
3. intelligent comprehensive fault diagnosis system according to claim 1, is characterized in that: described checkout equipment adopts pressure unit.
4. intelligent comprehensive fault diagnosis system according to claim 1, is characterized in that: described checkout equipment adopts flowmeter.
5. intelligent comprehensive fault diagnosis system according to claim 1, is characterized in that: described checkout equipment adopts radar level gauge.
6. intelligent comprehensive fault diagnosis system according to claim 1, is characterized in that: described checkout equipment adopts pH value detecting device.
7. intelligent comprehensive fault diagnosis system according to claim 1, is characterized in that: described checkout equipment adopts SO 2density Detection Instrument.
8. an intelligent comprehensive method for diagnosing faults, is characterized in that, comprises the steps:
PLC industrial field control device detects the fault-signal from scene by field detecting device, and by network, fault-signal is transferred to upper monitoring computing machine, upper monitoring computing machine is analyzed fault by software after receiving fault-signal, determine fault origination point position, and this positional information is converted to position command transfers to cradle head control single-chip microcomputer;
Cradle head control single-chip microcomputer carries out track up according to upper monitoring computer analysis results to predetermined failure point position, rapidly the key position of locking time of crisis;
(3) camera locks position of failure point rapidly and carries out snapshot candid photograph to it, and the snapshot formed at this is the valuable material that can be used for accident prevention and instruct accident maintenance;
(4) moving object identification, intelligence DSP picture processing chip leads to level and smooth, the sharpening pre-service of video image after receiving the digital video signal from video coding chip, the moving object occurred in the visual field is gone out again by the data analysing method Real time identification of background difference, also can realize moving object identification in camera by means of the computer vision storehouse OpenCV that increases income, and send alerting signal;
(5) system sends alerting signal after identifying moving object, and this alerting signal is sent to upper monitoring computing machine, and supervisory control comuter passes to PLC after receiving this signal, and PLC makes chain reaction according to this signal.
CN201510132526.XA 2015-03-25 2015-03-25 A kind of intelligent comprehensive fault diagnosis system and diagnostic method Active CN104677429B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510132526.XA CN104677429B (en) 2015-03-25 2015-03-25 A kind of intelligent comprehensive fault diagnosis system and diagnostic method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510132526.XA CN104677429B (en) 2015-03-25 2015-03-25 A kind of intelligent comprehensive fault diagnosis system and diagnostic method

Publications (2)

Publication Number Publication Date
CN104677429A true CN104677429A (en) 2015-06-03
CN104677429B CN104677429B (en) 2017-10-20

Family

ID=53312785

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510132526.XA Active CN104677429B (en) 2015-03-25 2015-03-25 A kind of intelligent comprehensive fault diagnosis system and diagnostic method

Country Status (1)

Country Link
CN (1) CN104677429B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104902244A (en) * 2015-06-10 2015-09-09 石家庄铁道大学 Railway maintenance machinery monitoring system
CN111107325A (en) * 2019-12-31 2020-05-05 中建空列(北京)科技有限公司 Suspension type monorail traffic video comprehensive monitoring system platform
CN111885189A (en) * 2020-07-30 2020-11-03 杭州国电机械设计研究院有限公司 Remote monitoring system of ship lift
CN115842848A (en) * 2023-03-01 2023-03-24 成都远峰科技发展有限公司 Dynamic monitoring system based on industrial Internet of things and control method thereof

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH096943A (en) * 1995-06-19 1997-01-10 Hitachi Denshi Ltd Fault diagnosing method for image processor
JP2003289555A (en) * 1995-05-10 2003-10-10 Hitachi Kokusai Electric Inc Trouble diagnosing method for television camera apparatus
CN1540462A (en) * 2003-10-21 2004-10-27 沈阳东大自动化有限公司 Digital monitoring device and control procedure in procedure of metallurgy production
CN101349919A (en) * 2008-08-26 2009-01-21 浙江大学 Remote video diagnostic method and apparatus of pumping station controlling system fault
CN201203786Y (en) * 2008-06-18 2009-03-04 深圳市库马克新技术股份有限公司 Intelligent monitoring system for electric power plant coal transportation
CN201247411Y (en) * 2008-08-26 2009-05-27 浙江大学 Remote video diagnostic equipment for pump station control system fault
CN101498468A (en) * 2009-02-17 2009-08-05 中国安全生产科学研究院 Intelligent monitoring system for boiler and heat exchange station
CN201928381U (en) * 2010-11-30 2011-08-10 合肥安迅铁道应用技术有限公司 Infrared remote failure diagnosis equipment with image monitoring and analyzing function

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003289555A (en) * 1995-05-10 2003-10-10 Hitachi Kokusai Electric Inc Trouble diagnosing method for television camera apparatus
JPH096943A (en) * 1995-06-19 1997-01-10 Hitachi Denshi Ltd Fault diagnosing method for image processor
CN1540462A (en) * 2003-10-21 2004-10-27 沈阳东大自动化有限公司 Digital monitoring device and control procedure in procedure of metallurgy production
CN201203786Y (en) * 2008-06-18 2009-03-04 深圳市库马克新技术股份有限公司 Intelligent monitoring system for electric power plant coal transportation
CN101349919A (en) * 2008-08-26 2009-01-21 浙江大学 Remote video diagnostic method and apparatus of pumping station controlling system fault
CN201247411Y (en) * 2008-08-26 2009-05-27 浙江大学 Remote video diagnostic equipment for pump station control system fault
CN101498468A (en) * 2009-02-17 2009-08-05 中国安全生产科学研究院 Intelligent monitoring system for boiler and heat exchange station
CN201928381U (en) * 2010-11-30 2011-08-10 合肥安迅铁道应用技术有限公司 Infrared remote failure diagnosis equipment with image monitoring and analyzing function

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104902244A (en) * 2015-06-10 2015-09-09 石家庄铁道大学 Railway maintenance machinery monitoring system
CN104902244B (en) * 2015-06-10 2018-04-06 石家庄铁道大学 railway maintenance machinery monitoring system
CN111107325A (en) * 2019-12-31 2020-05-05 中建空列(北京)科技有限公司 Suspension type monorail traffic video comprehensive monitoring system platform
CN111885189A (en) * 2020-07-30 2020-11-03 杭州国电机械设计研究院有限公司 Remote monitoring system of ship lift
CN115842848A (en) * 2023-03-01 2023-03-24 成都远峰科技发展有限公司 Dynamic monitoring system based on industrial Internet of things and control method thereof
CN115842848B (en) * 2023-03-01 2023-04-28 成都远峰科技发展有限公司 Dynamic monitoring system based on industrial Internet of things and control method thereof

Also Published As

Publication number Publication date
CN104677429B (en) 2017-10-20

Similar Documents

Publication Publication Date Title
CN111507308B (en) Transformer substation safety monitoring system and method based on video identification technology
KR101949525B1 (en) Safety management system using unmanned detector
CN206115248U (en) Numerical control fault diagnostic based on internet
US20230076969A1 (en) Industrial equipment and device monitoring-alarm system, and method therefor
CN107424380A (en) Urban Underground pipe gallery monitoring and warning system and method
CN103235562A (en) Patrol-robot-based comprehensive parameter detection system and method for substations
CN105574683A (en) Omni-directional transformer station inspection system and method
CN110889339B (en) Head and shoulder detection-based dangerous area grading early warning method and system
CN104677429A (en) Intelligent comprehensive fault diagnosis system and intelligent comprehensive fault diagnosis method
CN107175691A (en) A kind of online fault detect of robot and maintaining method
CN117235443A (en) Electric power operation safety monitoring method and system based on edge AI
CN116824731A (en) Intelligent inspection method and equipment for thermal power plant
CN117975372B (en) Construction site safety detection system and method based on YOLOv and transducer encoder
CN107657682A (en) A kind of power transformation method for inspecting based on augmented reality
CN117853295A (en) Safety environmental protection emergency system based on industry interconnection and digital panorama
CN117424984A (en) U-shaped wharf inspection closed-loop method based on three-dimensional model and video monitoring
CN116147697B (en) Unattended monitoring method and system for aluminum hydroxide
CN116961237A (en) Intelligent monitoring system for power distribution safety operation
CN114815760B (en) Tracing disposal method of safety production tracing disposal system
CN115562201A (en) Production monitoring emergency early warning method based on intelligent Internet of things
CN112053526A (en) Monitoring system and monitoring method
CN113920610A (en) AR technology-based power equipment inspection method and system
CN102398700B (en) Intelligent monitoring system for full-automatic industrial explosive packaging equipment
CN118570990B (en) Intelligent quay crane operation monitoring large screen system and visual management method thereof
CN116449761B (en) Intelligent pump station intelligent control system and method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20170915

Address after: 250100 Shandong city of Ji'nan province high tech Zone Shun Road No. 2000 Shun Tai Plaza No. 4

Applicant after: Software Limited by Share Ltd

Address before: Industrial Road Licheng District, Ji'nan city of Shandong Province, No. 21 250101

Applicant before: Shandong Iron & Steel Group Co., Ltd.

GR01 Patent grant
GR01 Patent grant