CN110208636A - A kind of electrorefining electrode abnormality detection system - Google Patents
A kind of electrorefining electrode abnormality detection system Download PDFInfo
- Publication number
- CN110208636A CN110208636A CN201910504887.0A CN201910504887A CN110208636A CN 110208636 A CN110208636 A CN 110208636A CN 201910504887 A CN201910504887 A CN 201910504887A CN 110208636 A CN110208636 A CN 110208636A
- Authority
- CN
- China
- Prior art keywords
- module
- electrode
- unmanned plane
- infrared
- electrorefining
- 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.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 65
- 230000005856 abnormality Effects 0.000 title claims abstract description 20
- 238000012545 processing Methods 0.000 claims abstract description 62
- 238000001757 thermogravimetry curve Methods 0.000 claims abstract description 29
- 238000007405 data analysis Methods 0.000 claims abstract description 23
- 238000007670 refining Methods 0.000 claims description 42
- 230000002159 abnormal effect Effects 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 claims description 12
- 238000004082 amperometric method Methods 0.000 claims description 7
- 238000007689 inspection Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 238000013500 data storage Methods 0.000 claims 1
- 238000013024 troubleshooting Methods 0.000 claims 1
- 238000005516 engineering process Methods 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 4
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 3
- 229910052799 carbon Inorganic materials 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 239000000835 fiber Substances 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 241001269238 Data Species 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 239000006185 dispersion Substances 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 229910052802 copper Inorganic materials 0.000 description 1
- 239000010949 copper Substances 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005868 electrolysis reaction Methods 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
- 230000001590 oxidative effect Effects 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000009738 saturating Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0096—Radiation pyrometry, e.g. infrared or optical thermometry for measuring wires, electrical contacts or electronic systems
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/58—Testing of lines, cables or conductors
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S1/00—Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmitters; Receivers co-operating therewith
- G01S1/02—Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmitters; Receivers co-operating therewith using radio waves
- G01S1/08—Systems for determining direction or position line
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
Abstract
The invention belongs to potroom fault detection technique fields, and in particular to a kind of electrorefining electrode abnormality detection system, comprising: MES control system, cruise drone body and infrared collecting module；MES control system includes: total control module, image processing module, data analysis module and planning detection module；Drone body of cruising includes: unmanned plane MCU module, unmanned plane UWB locating module and data memory module.Infrared collecting module is mounted on cruise unmanned plane by the present invention, it plans that detection module carries out path planning to drone body, a cruise unmanned plane is only needed in a potroom, need to only carry one or two infrared collecting module, the quantity of infrared collecting module is greatly reduced, it is at low cost.Since the flying height of cruise unmanned plane is convenient for control, the distance between thermal infrared imager and electrorefining electrode can be adjusted according to target electrode, keep the Infrared Thermogram of shooting more acurrate, detection accuracy is greatly enhanced.
Description
Technical field
The invention belongs to potroom fault detection technique fields, and in particular to a kind of electrorefining electrode abnormality detection system
System.
Background technique
In copper electrolyzing refining, current efficiency and percentage of product are the important indicators for examining electrolysis production efficiency and ability, and
The cathode plate that intereelectrode short-circuit will lead to is mingled with, and seriously affects product hierarchy, increases rejection rate.Thus, it is found that and elimination refining electricity
The failures such as short circuit, the open circuit of pole are simultaneously handled in time, it is ensured that homogeneous current distribution between electrode is production pipe in potroom
The important process content of reason.
Currently, holding the detection work that magnetoelectric transducer contact groove face carries out refining electrode mainly by worker.But it is live
Environmental condition is poor, time-consuming, laborious and be easy to produce by the way that manually investigation refining electrode causes worker's repetitive operation amount big one by one
Fatigue, often occur mistake look into, under-enumeration the problems such as.
Recently, also there are some automatic detection refining electrode systems, the shape of infrared camera is carried for example, by using inspection purlin vehicle
Formula is detected automatically, although such mode overcomes the defect of artificial detection, realizes partial automation；But design cost
It is higher, and the motion guide rail of inspection purlin vehicle is mounted on workshop top, and the infrared camera of carrying is apart from refining electrode to be detected
Farther out, infrared camera, which generates dispersion, not can be carried out the refining electrode for being accurately positioned and detecting to needs, can generate biggish detection and sentence
Disconnected error.
Summary of the invention
The purpose of the present invention is overcome refining to exist in the prior art electrode detection measurement accuracy is low, the bothersome expense of manual measurement
The defect of power provides a kind of high measurement accuracy, fast response time and electrorefining electrode abnormality detection system at low cost.
The technical solution adopted by the present invention to solve the technical problems is:
A kind of electrorefining electrode abnormality detection system characterized by comprising MES control system, cruise unmanned plane sheet
Body and the infrared collecting module being mounted on the cruise inorganic bulk；
The MES control system includes: total control module, image processing module, data analysis module and planning detection mould
Block；
The cruise drone body includes: unmanned plane MCU module, unmanned plane UWB locating module and data memory module；
The planning detection module is used to plan the detection path of the cruise drone body, and location information is instructed
Feed back to the total control module；
The total control module is used to receive the location information instruction of the planning detection module feedback, and passes through channel radio
Location information instruction is sent to the unmanned plane MCU module by news；
The unmanned plane MCU module is used to receive the location information instruction of the total control module feedback, and position is believed
Breath instruction is sent to unmanned plane UWB locating module；
The unmanned plane UWB locating module is used to receive the location information instruction of the unmanned plane MCU module feedback, control
Position specified by the information command of the cruise drone body in-position, then the unmanned plane MCU module transmission is taken pictures
It instructs to the infrared collecting module；
The infrared collecting module acquires the Infrared Thermogram of refining electrode according to photographing instruction；
Infrared Thermogram is sent to the unmanned plane for Infrared Thermogram to be automatically stored by the data memory module
MCU module；
Infrared Thermogram is sent to the total control module by wireless telecommunications by the unmanned plane MCU module, described total
The Infrared Thermogram received is sent to described image processing module by control module, and described image processing module is to infrared thermal imagery
Figure carries out data processing and obtains thermal-image data；
The data analysis module receives the thermal-image data of described image processing module transmitting, and divides thermal-image data
Analysis.
Further, the MES control system further includes fault processing module；If the data analysis module judgement refining
Electrode is abnormal, and the data for refining electrode exception are sent to the fault processing module.
Further, the fault processing module is handled according to the data of refining electrode exception；If at the failure
Manage module can direct handling failure, then by processing complete data pass to the planning detection module, carry out next essence
Refine electrode detection；If the fault processing module cannot handle problem or processing failure, the untreated data of failure are referred to
It enabling and sends staff, staff has handled and the instruction that processing is completed is passed to the planning detection module after failure, into
The next refining electrode detection of row.
Further, the infrared collecting module is thermal infrared imager.
Further, the distance between the thermal infrared imager and refining electrode are 1.6m~2m.
Further, described image processing module carries out image gray processing, image denoising and image increasing to Infrared Thermogram
Strength reason.
Further, the data analysis module carries out temperature analysis to thermal-image data.
Further, the data analysis module carries out the amperometry of refining electrode by temperature analysis, according to electric current
Analyze and determine whether refining electrode is abnormal.
Further, the data analysis module directly judges to refine whether electrode is abnormal by temperature analysis.
Further, the cruise drone body is binocular vision avoidance unmanned plane.
A kind of beneficial effect of electrorefining electrode abnormality detection system of the invention is:
1, only a cruise unmanned plane need to be set in a workshop, and need to only carries one or two infrared collecting moulds
Block (i.e. thermal infrared imager), greatly reduces the usage quantity of thermal infrared imager, reduces costs.Due to flying for cruise unmanned plane
Convenient for control, thermal infrared imager can be adjusted row height at a distance from electrorefining electrode according to the target electrode of detection,
Keep the Infrared Thermogram of shooting more acurrate, detection accuracy is greatly enhanced.
2, cruise UAV flight UWB (UWBLOC technology) random position system, it is ensured that the unmanned plane that cruises it is accurate
Positioning, detects any electrorefining electrode at any time.
Detailed description of the invention
The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
Fig. 1 is the electrorefining electrode abnormality detection system flow chart of the embodiment of the present invention；
Fig. 2 is image variants flow chart；
Fig. 3 is UWB locating module working principle diagram.
In figure: 1, unmanned plane MCU module, 2, unmanned plane UWB locating module, 3, data memory module, 4, infrared collecting mould
Block, 5, image processing module, 6, data analysis module, 7, planning detection module, 8, total control module, 9, fault processing module.
Specific embodiment
In conjunction with the accompanying drawings, the present invention is further explained in detail.These attached drawings are simplified schematic diagram, only with
Illustration illustrates basic structure of the invention, therefore it only shows the composition relevant to the invention.
A kind of specific embodiment of electrorefining electrode abnormality detection system of the invention as shown in FIG. 1 to FIG. 3, including
MES control system, cruise drone body and the infrared collecting module 4 being mounted on cruise inorganic bulk.MES control system
It include: total control module 8, image processing module 5, data analysis module 6 and planning detection module 7.Cruise drone body packet
It includes: unmanned plane MCU module 1, unmanned plane UWB locating module 2 and data memory module 3.
Planning detection module 7 is used to plan the detection path of cruise drone body, and location information instruction feedback is given
Total control module 8.Total control module 8 is used to receive the location information instruction that planning detection module 7 is fed back, and passes through wireless telecommunications
Location information instruction is sent to unmanned plane MCU module 1.Unmanned plane MCU module 1 is used to receive the position of the feedback of total control module 8
Information command is set, and location information instruction is sent to unmanned plane UWB locating module 2.Unmanned plane UWB locating module 2 is for connecing
The location information instruction that unmanned plane MCU module 1 is fed back is received, control is cruised specified by the information command of drone body in-position
Position, then unmanned plane MCU module 1 sends photographing instruction to infrared collecting module 4.Infrared collecting module 4 is according to photographing instruction
The Infrared Thermogram of acquisition refining electrode.Data memory module 3 sends out Infrared Thermogram for Infrared Thermogram to be automatically stored
Give unmanned plane MCU module 1.Infrared Thermogram is sent to total control module 8 by wireless telecommunications by unmanned plane MCU module 1, always
The Infrared Thermogram received is sent to image processing module 5 by control module 8, image processing module 5 to Infrared Thermogram into
Row data processing obtains thermal-image data；Image processing module 5 carries out image gray processing, image denoising and image to Infrared Thermogram
The processing of the picture datas such as enhancing itself obtains thermal-image data.Data analysis module 6 receives the thermal imagery that image processing module 5 transmits
Data, and thermal-image data is analyzed.
The MES control system of the embodiment of the present invention further includes fault processing module 9；If the judgement refining of data analysis module 6
Electrode is abnormal, and the data for refining electrode exception are sent to fault processing module 9.Fault processing module 9 is according to refining electricity
Extremely abnormal data are handled；If fault processing module 9 can direct handling failure, by processing complete data pass to
It plans detection module 7, carries out next refining electrode detection；If fault processing module 9 cannot handle problem or processing failure,
The untreated data command of failure is then sent into staff, and staff has handled the instruction for processing being completed after failure and transmitted
Planning detection module 7 is given, next refining electrode detection is carried out.
Infrared collecting module 4 generally uses thermal infrared imager, is carried using the cruise drone body of the embodiment of the present invention
Thermal infrared imager take pictures to refining electrode, thermal infrared imager and refining the distance between electrode can be contracted to 1.6m~
2m, solve inspection purlin vehicle carrying thermal infrared imager apart from refining electrode to be detected farther out, thermal infrared imager generation dispersion
It not can be carried out the refining electrode for being accurately positioned and detecting to needs, thus the problem that detection error is big.
The data analysis module 6 of the embodiment of the present invention carries out temperature analysis to thermal-image data, carries out essence by temperature analysis
The amperometry for refining electrode judges to refine whether electrode is abnormal according to amperometry.As another embodiment, data
Analysis module 6 can directly judge to refine whether electrode is abnormal by temperature analysis.
In the present embodiment, cruise drone body is binocular vision avoidance unmanned plane, carries out avoidance using binocular vision
Function, binocular vision have used the principle of human eye estimated distance, i.e., coordinate of the same object in two camera lens pictures is slightly
The distance of barrier can be obtained by conversion for difference.
The cruise unmanned plane of the present embodiment uses modularization carbon fibre materials shell, and carbon fibre materials have axial strength
Height, modulus are high, density is low, without superhigh temperature resistant, fatigue durability under creep, non-oxidizing atmosphere, good, good corrosion resistance and X-ray are saturating
The advantages that property crossed is good, and carbon fibre materials specific heat and electric conductivity between nonmetallic between metal, thermal expansion coefficient is small and has
Anisotropy, therefore there is good electrical and thermal conductivity performance and electromagnetic wave shielding.
The locating base station system of electrorefining electrode abnormality detection system of the invention based on UWB locating module UWBLOC technology
Under system, cruise drone body can carry out the random position of electrolytic refining plant, be carried using cruise drone body red
Outer acquisition module 4 carries out the Image Acquisition of anodic-cathodic, by wireless telecommunications by 4 acquired image data of infrared collecting module
Image processing module 5 is passed into processing.
The working principle diagram of UWB locating module is as shown in figure 3, UWBLOC technology is that a kind of band is wider than 500MHz or opposite
Band is wider than 20% radio technology；UWB uses the duration for the burst pulse of nanosecond, signal bandwidth, and traditional short
Compared apart from wireless telecommunications, can provide faster, farther transmission rate.The number of low-power consumption, high-speed may be implemented in UWB technology
According to transmission, and it can be realized simultaneously communication and positioning function；Meanwhile using UWB technology carry out positioning have anti-multipath jamming,
The strong advantage of penetration capacity.The positioning principle of UWB technology is completed mainly by the communication between base station and label, first acquisition base
It stands variable relevant with label position, founding mathematical models acquire label position and multiple base stations by TOP mathematical computations
Mean value simultaneously optimizes, so that it is determined that label, that is, unmanned plane position.
The course of work of the embodiment of the present invention are as follows:
Plan the detection path of the planning cruise drone body of detection module 7, and by location information instruction feedback to master control
Molding block 8, total control module 8 send location information by wireless telecommunications and instruct to unmanned plane MCU module 1, unmanned plane MCU module
Location information instruction is sent to unmanned plane UWB locating module 2 by 1；Unmanned plane UWB locating module 2 passes through UWB locating base station and patrols
Endurance unmanned plane label carries out UWB wireless transmission interaction, makes position specified by the information command of drone body in-position of cruising,
Then unmanned plane MCU module 1 sends photographing instruction to infrared collecting module 4, and infrared collecting module 4, which is taken pictures, grabs refining electrode
Infrared Thermogram, and Infrared Thermogram is stored automatically in data memory module 3, data memory module 3 sends out Infrared Thermogram
Unmanned plane MCU module 1 is given, Infrared Thermogram is sent to total control module 8 by wireless telecommunications by unmanned plane MCU module 18,
Total control module 8 sends received Infrared Thermogram to image processing module 5, image processing module 5 to Infrared Thermogram into
The processing of the picture datas such as row image gray processing, image denoising and image enhancement itself obtains thermal-image data；Data analysis module 6
The thermal-image data that image processing module 5 transmits is received, and temperature analysis is carried out to thermal-image data, is refined by temperature analysis
The amperometry of electrode judges to refine whether electrode is abnormal according to amperometry, or is directly judged by temperature analysis
Whether abnormal refine electrode.If the judgement refining electrode of data analysis module 6 is abnormal, the data for refining electrode exception are sent
To fault processing module 9.Fault processing module 9 is handled according to the data of refining electrode exception；If 9 energy of fault processing module
The data that processing is completed then are passed to planning detection module 7, carry out next refining electrode detection by enough direct handling failures；
If fault processing module 9 cannot handle problem or processing failure, the untreated data command of failure is sent into staff,
The instruction that processing is completed is passed to planning detection module 7 by staff, carries out next refining electrode detection.
Only a cruise unmanned plane need to be set in one electrolytic refining plant, and it is infrared only to carry one or two
Acquisition module 4 is thermal infrared imager, greatly reduces the usage quantity of thermal infrared imager, reduces costs.Due to cruising nobody
The flying height of machine can carry out convenient for control, thermal infrared imager at a distance from electrorefining electrode according to the target electrode of detection
Adjustment, the Infrared Thermogram of shooting is more acurrate, and detection accuracy is greatly enhanced.
It should be appreciated that described above, the specific embodiments are only for explaining the present invention, is not intended to limit the present invention.By
The obvious changes or variations that spirit of the invention is extended out are still in the protection scope of this invention.
Claims (10)
1. a kind of electrorefining electrode abnormality detection system characterized by comprising MES control system, cruise drone body
And it is mounted in the infrared collecting module (4) on the cruise inorganic bulk；
The MES control system includes: total control module (8), image processing module (5), data analysis module (6) and planning inspection
It surveys module (7)；
The cruise drone body includes: unmanned plane MCU module (1), unmanned plane UWB locating module (2) and data storage mould
Block (3)；
Planning detection module (7) is used to plan the detection path of the cruise drone body, and location information is instructed
Feed back to the total control module (8)；
The total control module (8) is used to receive the location information instruction of planning detection module (7) feedback, and by wireless
Location information instruction is sent to the unmanned plane MCU module (1) by communication；
The unmanned plane MCU module (1) is used to receive the location information instruction of the total control module (8) feedback, and by position
Information command is sent to unmanned plane UWB locating module (2)；
The unmanned plane UWB locating module (2) is used to receive the location information instruction of unmanned plane MCU module (1) feedback, control
Position specified by the information command of the cruise drone body in-position is made, then the unmanned plane MCU module (1) sends
Photographing instruction gives the infrared collecting module (4)；
The infrared collecting module (4) acquires the Infrared Thermogram of refining electrode according to photographing instruction；
Infrared Thermogram is sent to the unmanned plane for Infrared Thermogram to be automatically stored by the data memory module (3)
MCU module (1)；
Infrared Thermogram is sent to the total control module (8) by the unmanned plane MCU module (1) by wireless telecommunications, described
The Infrared Thermogram received is sent to described image processing module (5), described image processing module by total control module (8)
(5) data processing is carried out to Infrared Thermogram and obtains thermal-image data；
The data analysis module (6) receives the thermal-image data of described image processing module (5) transmitting, and carries out to thermal-image data
Analysis.
2. electrorefining electrode abnormality detection system according to claim 1, it is characterised in that: the MES control system
It further include fault processing module (9)；If data analysis module (6) the judgement refining electrode is abnormal, different by electrode is refined
Normal data are sent to the fault processing module (9).
3. electrorefining electrode abnormality detection system according to claim 2, it is characterised in that: the fault processing module
(9) it is handled according to the data of refining electrode exception；If the fault processing module (9) can direct handling failure, will
The data that processing is completed pass to the planning detection module (7), carry out next refining electrode detection；If the troubleshooting
Module (9) cannot handle problem or processing failure, then the untreated data command of failure is sent staff, staff
It has handled and the instruction that processing is completed is passed into the planning detection module (7) after failure, carried out next refining electrode detection.
4. electrorefining electrode abnormality detection system according to claim 1, it is characterised in that: the infrared collecting module
It (4) is thermal infrared imager.
5. electrorefining electrode abnormality detection system according to claim 4, it is characterised in that: the thermal infrared imager with
Refining the distance between electrode is 1.6m~2m.
6. electrorefining electrode abnormality detection system according to claim 1, it is characterised in that: described image processing module
(5) image gray processing, image denoising and image enhancement processing are carried out to Infrared Thermogram.
7. electrorefining electrode abnormality detection system according to claim 1, it is characterised in that: the data analysis module
(6) temperature analysis is carried out to thermal-image data.
8. electrorefining electrode abnormality detection system according to claim 7, it is characterised in that: the data analysis module
(6) amperometry that refining electrode is carried out by temperature analysis judges to refine whether electrode is abnormal according to amperometry.
9. electrorefining electrode abnormality detection system according to claim 7, it is characterised in that: the data analysis module
(6) directly judge to refine whether electrode is abnormal by temperature analysis.
10. -9 described in any item electrorefining electrode abnormality detection systems according to claim 1, it is characterised in that: described to patrol
Endurance unmanned plane ontology is binocular vision avoidance unmanned plane.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910504887.0A CN110208636A (en) | 2019-06-12 | 2019-06-12 | A kind of electrorefining electrode abnormality detection system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910504887.0A CN110208636A (en) | 2019-06-12 | 2019-06-12 | A kind of electrorefining electrode abnormality detection system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110208636A true CN110208636A (en) | 2019-09-06 |
Family
ID=67792205
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910504887.0A Pending CN110208636A (en) | 2019-06-12 | 2019-06-12 | A kind of electrorefining electrode abnormality detection system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110208636A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112154307A (en) * | 2019-11-04 | 2020-12-29 | 深圳市大疆创新科技有限公司 | Electromagnetic flowmeter, sprinkler and movable platform |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS60204896A (en) * | 1984-03-27 | 1985-10-16 | Mitsubishi Metal Corp | Detector for abnormality of electrode or the like in electrolytic cell for metal |
| CN104451788A (en) * | 2014-12-30 | 2015-03-25 | 合肥金星机电科技发展有限公司 | Electrolytic tank pole plate temperature monitoring system |
| CN104480491A (en) * | 2014-12-30 | 2015-04-01 | 合肥金星机电科技发展有限公司 | Faulted electrode plate positioning detection device and method for electrolytic bath |
| CN204727966U (en) * | 2015-06-12 | 2015-10-28 | 贵阳铝镁设计研究院有限公司 | A kind of aluminium electrolysis cell condition crusing robot |
| CN107502924A (en) * | 2017-08-17 | 2017-12-22 | 中南大学 | A kind of system and method for being used to detect electrolytic bath condition |
| CN207037475U (en) * | 2017-06-01 | 2018-02-23 | 仲恺农业工程学院 | One kind is based on sterically defined four rotor wing unmanned aerial vehicle |
| CN107767360A (en) * | 2017-08-17 | 2018-03-06 | 中南大学 | A kind of method for early warning and detection means for electrolytic bath electrode plate failure |
| CN107820215A (en) * | 2017-12-05 | 2018-03-20 | 南京沃旭通讯科技有限公司 | A kind of unmanned plane near field guides system and method |
| CN108279003A (en) * | 2018-02-01 | 2018-07-13 | 福州大学 | It is a kind of based on the unmanned plane high accuracy positioning cruising inspection system used suitable for substation |
| CN108303995A (en) * | 2018-03-02 | 2018-07-20 | 三峡大学 | A kind of substation inspection unmanned plane during flying security system |
| CN109218683A (en) * | 2018-11-05 | 2019-01-15 | 广东电网有限责任公司 | Monitoring unmanned system and electric power place monitoring system |
-
2019
- 2019-06-12 CN CN201910504887.0A patent/CN110208636A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS60204896A (en) * | 1984-03-27 | 1985-10-16 | Mitsubishi Metal Corp | Detector for abnormality of electrode or the like in electrolytic cell for metal |
| CN104451788A (en) * | 2014-12-30 | 2015-03-25 | 合肥金星机电科技发展有限公司 | Electrolytic tank pole plate temperature monitoring system |
| CN104480491A (en) * | 2014-12-30 | 2015-04-01 | 合肥金星机电科技发展有限公司 | Faulted electrode plate positioning detection device and method for electrolytic bath |
| CN204727966U (en) * | 2015-06-12 | 2015-10-28 | 贵阳铝镁设计研究院有限公司 | A kind of aluminium electrolysis cell condition crusing robot |
| CN207037475U (en) * | 2017-06-01 | 2018-02-23 | 仲恺农业工程学院 | One kind is based on sterically defined four rotor wing unmanned aerial vehicle |
| CN107502924A (en) * | 2017-08-17 | 2017-12-22 | 中南大学 | A kind of system and method for being used to detect electrolytic bath condition |
| CN107767360A (en) * | 2017-08-17 | 2018-03-06 | 中南大学 | A kind of method for early warning and detection means for electrolytic bath electrode plate failure |
| CN107820215A (en) * | 2017-12-05 | 2018-03-20 | 南京沃旭通讯科技有限公司 | A kind of unmanned plane near field guides system and method |
| CN108279003A (en) * | 2018-02-01 | 2018-07-13 | 福州大学 | It is a kind of based on the unmanned plane high accuracy positioning cruising inspection system used suitable for substation |
| CN108303995A (en) * | 2018-03-02 | 2018-07-20 | 三峡大学 | A kind of substation inspection unmanned plane during flying security system |
| CN109218683A (en) * | 2018-11-05 | 2019-01-15 | 广东电网有限责任公司 | Monitoring unmanned system and electric power place monitoring system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112154307A (en) * | 2019-11-04 | 2020-12-29 | 深圳市大疆创新科技有限公司 | Electromagnetic flowmeter, sprinkler and movable platform |
| WO2021087705A1 (en) * | 2019-11-04 | 2021-05-14 | 深圳市大疆创新科技有限公司 | Electromagnetic flowmeter, spraying apparatus, and movable platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110614638B (en) | Transformer substation inspection robot autonomous acquisition method and system | |
| CN204992418U (en) | Automatic device of patrolling and examining of unmanned aerial vehicle transmission line defect | |
| CN109447157B (en) | Movable power grid operation inspection system | |
| CN110888457A (en) | System and method for carrying out three-dimensional inspection on power transformation equipment by using unmanned aerial vehicle and robot | |
| CN107943078A (en) | More rotor dual systems unmanned plane inspection fault diagnosis systems and method | |
| CN105651780A (en) | Method, apparatus and system for detecting state of blower blade through unmanned plane | |
| CN202975781U (en) | Compass satellite-based Internet of things system | |
| CN105743017A (en) | Unmanned aerial vehicle inspection ground measurement and control station and transportation safeguard system used for power transmission line | |
| CN111985352B (en) | AI front-end substation inspection video real-time identification method and system | |
| CN208705948U (en) | A kind of Power Line Inspection System based on CORS technology | |
| CN111850609B (en) | Aluminum electrolysis control system based on digital twinning | |
| CN113589837A (en) | Electric power real-time inspection method based on edge cloud | |
| CN105978145B (en) | Secondary system of intelligent substation information fusion system | |
| CN106656035A (en) | Photovoltaic power station fault detection method | |
| CN110208636A (en) | A kind of electrorefining electrode abnormality detection system | |
| CN103940823A (en) | Iron tower defect detection system based on aircraft and aircraft positioning method | |
| CN115290696A (en) | Infrared thermal imaging defect detection method and device for transformer substation insulator | |
| CN113326752B (en) | Unmanned aerial vehicle-based photovoltaic power station identification method and system | |
| CN106603002A (en) | Photovoltaic power station fault detection system | |
| CN114460227A (en) | Electrolyte abnormity monitoring method and system | |
| CN203606301U (en) | Visual hardware for defect detection of power lithium ion battery pole piece | |
| CN115314609B (en) | Automatic acquisition method and device for fire hole video of aluminum electrolysis cell | |
| CN107886590A (en) | Operation on the sea cruising inspection system and method based on unmanned plane | |
| CN108470141B (en) | Statistical feature and machine learning-based insulator identification method in distribution line | |
| CN213932845U (en) | Intelligent temperature measurement system applied to industrial field bus inspection |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 315400 Zhejiang Yuyao Ningbo Economic Development Zone East New District Applicant after: Zhichang Technology Group Co.,Ltd. Address before: 315400 NO.175 Anshan Road, Yuyao City, Ningbo City, Zhejiang Province Applicant before: ZHEJIANG EMERGEN ROBOT TECHNOLOGY Co.,Ltd. |