CN106894806A - A kind of intelligent rig electrohydraulic control system and method - Google Patents
A kind of intelligent rig electrohydraulic control system and method Download PDFInfo
- Publication number
- CN106894806A CN106894806A CN201611067753.XA CN201611067753A CN106894806A CN 106894806 A CN106894806 A CN 106894806A CN 201611067753 A CN201611067753 A CN 201611067753A CN 106894806 A CN106894806 A CN 106894806A
- Authority
- CN
- China
- Prior art keywords
- image
- sensor
- module
- data
- system operation
- 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.)
- Withdrawn
Links
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000003709 image segmentation Methods 0.000 claims description 20
- 230000006870 function Effects 0.000 claims description 12
- 238000007781 pre-processing Methods 0.000 claims description 12
- 238000012545 processing Methods 0.000 claims description 10
- 239000011159 matrix material Substances 0.000 claims description 8
- 230000005540 biological transmission Effects 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 230000002708 enhancing effect Effects 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 4
- 238000013507 mapping Methods 0.000 claims description 4
- 238000012546 transfer Methods 0.000 claims description 4
- 230000032258 transport Effects 0.000 claims 1
- 238000005516 engineering process Methods 0.000 description 4
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 239000003381 stabilizer Substances 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F15—FLUID-PRESSURE ACTUATORS; HYDRAULICS OR PNEUMATICS IN GENERAL
- F15B—SYSTEMS ACTING BY MEANS OF FLUIDS IN GENERAL; FLUID-PRESSURE ACTUATORS, e.g. SERVOMOTORS; DETAILS OF FLUID-PRESSURE SYSTEMS, NOT OTHERWISE PROVIDED FOR
- F15B13/00—Details of servomotor systems ; Valves for servomotor systems
- F15B13/02—Fluid distribution or supply devices characterised by their adaptation to the control of servomotors
- F15B13/04—Fluid distribution or supply devices characterised by their adaptation to the control of servomotors for use with a single servomotor
- F15B13/0401—Valve members; Fluid interconnections therefor
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F15—FLUID-PRESSURE ACTUATORS; HYDRAULICS OR PNEUMATICS IN GENERAL
- F15B—SYSTEMS ACTING BY MEANS OF FLUIDS IN GENERAL; FLUID-PRESSURE ACTUATORS, e.g. SERVOMOTORS; DETAILS OF FLUID-PRESSURE SYSTEMS, NOT OTHERWISE PROVIDED FOR
- F15B21/00—Common features of fluid actuator systems; Fluid-pressure actuator systems or details thereof, not covered by any other group of this subclass
- F15B21/08—Servomotor systems incorporating electrically operated control means
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Fluid Mechanics (AREA)
- Mechanical Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Geology (AREA)
- Mining & Mineral Resources (AREA)
- General Engineering & Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Geochemistry & Mineralogy (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Feedback Control In General (AREA)
- Control Of Position Or Direction (AREA)
Abstract
The invention provides a kind of intelligent rig electrohydraulic control system and method, it includes：Power supply, joystick, hydraulic system, magnetic valve and multiple directional control valve, power supply are connected by cable box with rig, and hydraulic system is controlled through magnetic valve and multiple directional control valve, it is characterised in that the system also includes：For obtaining the sensor group of system running state data message, the control process device for control system operation and judging for the image data information by collecting the image processor of system operation situation.The present invention has the advantages that remote control, Based Intelligent Control and identification are accurate.
Description
Technical field
The present invention relates to mine field, more particularly to a kind of intelligent rig electrohydraulic control system and method.
Background technology
In second Great War later stage in century, hydraulic control technology has obtained very big development.With the hair of modern electronic technology
Exhibition, the particularly development and popularization of computer technology, and for the Optimal Control of all kinds of technical process provides technical foundation.Cause
This, the application of engineering control theory spreads to common civilian industry department progressively from Aero-Space and military engineering field.
Electrichydraulic control has the advantages that many protrusions, therefore its application is widely, such as the plastic processing of general industry
Machinery, press, lathe etc.；Engineering machinery, building machinery, agricultural machinery, automobile in walking machine etc.；Steel and iron industry is used
Metallurgical machinery, lifting device, roll adjusting device etc.；The huge antenna control device of special technique, measurement buoy, lifting
Revolving stage etc.；The cannon manipulation device of war industry, ship stabilizer, aerial vehicle simulation, the folding and unfolding of undercarriage
Apparatus and direction rudder control device etc..
The content of the invention
In consideration of it, the invention provides a kind of intelligent rig electrohydraulic control system and method, the present invention have remote control,
The advantages of Based Intelligent Control and accurate identification.
The technical solution adopted by the present invention is as follows：
A kind of intelligent rig electrohydraulic control system, it includes：Power supply, joystick, hydraulic system, magnetic valve and multi-way reversing
Valve, power supply is connected by cable box with rig, and hydraulic system is controlled through magnetic valve and multiple directional control valve, it is characterised in that institute
Stating system also includes：For obtain system running state data message sensor group, for control system operation control at
Manage device and the image processor of system operation situation is judged for the image data information by collecting.
Further, the sensor group includes：TEMP for obtaining temperature data information during system operation
Device, for obtaining the voltage sensor of voltage data information during system operation, for obtaining current data information during system operation
Current sensor, for obtain the arc sensor of arc data information during system operation, for obtain during system operation press
The pressure sensor of force data information and the imageing sensor for obtaining image information during system operation；The TEMP
Signal is connected to control process device respectively for device, voltage sensor, current sensor, arc sensor and pressure sensor；It is described
Image sensor signal is connected to image processor.
Further, the control process device includes：The memory module of the data message obtained for storage sensor group,
Remotely controlled for judging judge module that whether system normally run according to the data message for obtaining and will determine that result is sent to
The wireless data transfer module of terminal processed；Signal is connected to memory module and data transmission module to the judge module respectively；Institute
Signal is connected to temperature sensor, voltage sensor, current sensor, arc sensor and pressure sensing respectively to state memory module
Device.
Further, described image processor includes：Image capture module, image pre-processing module, image segmentation module,
Characteristic extracting module and picture recognition module；Described image acquisition module signal is connected to image pre-processing module；Described image
Pretreatment module signal is connected to image segmentation module；Described image segmentation module by signal is connected to characteristic extracting module；It is described
Characteristic extracting module signal is connected to picture recognition module.
A kind of method of intelligent rig electrohydraulic control system, is characterised by, the described method comprises the following steps：
Step 1：System initialization, the data message in sensor group real-time acquisition system running, the temperature number that will be obtained
According to, voltage data, current data, arc data and pressure data information be sent to control process device；The view data that will be obtained
Information is sent to image processor；
Step 2：Control process device according to obtain data message judge system whether operation exception, if judging, system operation is different
Often, then data message is sent to remote control terminal；If judging, system operation is normal, and data message is kept in into storage mould
Block；
Step 2：Original image information of the image processor to the original image information for receiving successively to receiving carries out image
Pretreatment, image segmentation, feature extraction and image recognition；
Step 4：According to the result of image procossing, judge system whether operation exception, if judging system operation exception, by data
Information is sent to remote control terminal；If judging, system operation is normal, and data message is kept in into memory module.
Further, described image processing system is to the method for carrying out image preprocessing：Generation one contains odd number
The sliding window of pixel, the Mesophyticum of each point in the gray value window of window mid-point is replaced, and is scanned on image with window,
Finally enter pretreated image.
Further, described image processing system is comprised the following steps to the method for carrying out image segmentation：
Step 1：Image is mapped to fuzzy characteristics domain from spatial domain, is concretely comprised the following steps：Secondary that gray level of setting'sFirst graphical representation is a fuzzy set, and each element is the membership function relative to certain particular gray level in collection, will
The image is mapped as a fuzzy matrix；WhereinFor the gray level of pixel is special relative to certain
Determine gray levelDegree of membership；
Step 2：SettingIt is maximum gray scale；Defining membership function is：
；
Step 3：WhereinIt is type fuzzy factor reciprocal；It is exponential type fuzzy factor, therefore image mapping turns into fuzzy person in servitude
Category degree matrix；
Step 4：Nonlinear function is used in fuzzy spaceConversion, realizes the contrast of enhancing both sides of edges pixel grey scale；；
Wherein,
RecycleBecome enhanced image of changing commanders and data space is become again by fuzzy space.
Step 5：Defining new boundary operator is：;
Wherein,Edge extracting is carried out to image information using new boundary operator.
Using above technical scheme, present invention produces following beneficial effect：
1st, remote control：Electrohydraulic control system of the invention can realize remote control, and the data message that system will be obtained sends
To remote control terminal；Remote control terminal is analyzed the result for obtaining data processing according to the data message for receiving.
2nd, Based Intelligent Control：The data message that control system of the invention can be obtained by sensor group realizes electro-hydraulic intelligence
Can control, according to the state of each sensor, comprehensive descision；Meanwhile, the method by image recognition is also equipped with come automatic decision
System running state, possesses intellectuality very high.
3rd, it is accurate to recognize：Control system of the invention carries out synthesis except the field data information obtained by sensor group
Beyond multilevel iudge, the running status of control system is also judged by the method for image recognition, possess accuracy very high.
Brief description of the drawings
Fig. 1 is the system structure diagram of a kind of intelligent rig electrohydraulic control system of the invention and method.
Specific embodiment
All features disclosed in this specification, or disclosed all methods or during the step of, except mutually exclusive
Feature and/or step beyond, can combine by any way.
This specification（Including any accessory claim, summary）Disclosed in any feature, unless specifically stated otherwise,
Equivalent by other or with similar purpose alternative features are replaced.I.e., unless specifically stated otherwise, each feature is a series of
An example in equivalent or similar characteristics.
A kind of intelligent rig electrohydraulic control system and method, system architecture such as Fig. 1 institutes are provided in the embodiment of the present invention 1
Show：
A kind of intelligent rig electrohydraulic control system, it includes：Power supply, joystick, hydraulic system, magnetic valve and multi-way reversing
Valve, power supply is connected by cable box with rig, and hydraulic system is controlled through magnetic valve and multiple directional control valve, it is characterised in that institute
Stating system also includes：For obtain system running state data message sensor group, for control system operation control at
Manage device and the image processor of system operation situation is judged for the image data information by collecting.
Further, the sensor group includes：TEMP for obtaining temperature data information during system operation
Device, for obtaining the voltage sensor of voltage data information during system operation, for obtaining current data information during system operation
Current sensor, for obtain the arc sensor of arc data information during system operation, for obtain during system operation press
The pressure sensor of force data information and the imageing sensor for obtaining image information during system operation；The TEMP
Signal is connected to control process device respectively for device, voltage sensor, current sensor, arc sensor and pressure sensor；It is described
Image sensor signal is connected to image processor.
Further, the control process device includes：The memory module of the data message obtained for storage sensor group,
Remotely controlled for judging judge module that whether system normally run according to the data message for obtaining and will determine that result is sent to
The wireless data transfer module of terminal processed；Signal is connected to memory module and data transmission module to the judge module respectively；Institute
Signal is connected to temperature sensor, voltage sensor, current sensor, arc sensor and pressure sensing respectively to state memory module
Device.
Further, described image processor includes：Image capture module, image pre-processing module, image segmentation module,
Characteristic extracting module and picture recognition module；Described image acquisition module signal is connected to image pre-processing module；Described image
Pretreatment module signal is connected to image segmentation module；Described image segmentation module by signal is connected to characteristic extracting module；It is described
Characteristic extracting module signal is connected to picture recognition module.
A kind of method of intelligent rig electrohydraulic control system is provided in the embodiment of the present invention 2：
A kind of method of intelligent rig electrohydraulic control system, is characterised by, the described method comprises the following steps：
Step 1：System initialization, the data message in sensor group real-time acquisition system running, the temperature number that will be obtained
According to, voltage data, current data, arc data and pressure data information be sent to control process device；The view data that will be obtained
Information is sent to image processor；
Step 2：Control process device according to obtain data message judge system whether operation exception, if judging, system operation is different
Often, then data message is sent to remote control terminal；If judging, system operation is normal, and data message is kept in into storage mould
Block；
Step 2：Original image information of the image processor to the original image information for receiving successively to receiving carries out image
Pretreatment, image segmentation, feature extraction and image recognition；
Step 4：According to the result of image procossing, judge system whether operation exception, if judging system operation exception, by data
Information is sent to remote control terminal；If judging, system operation is normal, and data message is kept in into memory module.
Further, described image processing system is to the method for carrying out image preprocessing：Generation one contains odd number
The sliding window of pixel, the Mesophyticum of each point in the gray value window of window mid-point is replaced, and is scanned on image with window,
Finally enter pretreated image.
Further, described image processing system is comprised the following steps to the method for carrying out image segmentation：
Step 1：Image is mapped to fuzzy characteristics domain from spatial domain, is concretely comprised the following steps：Secondary that gray level of setting's
First graphical representation is a fuzzy set, and each element is the membership function relative to certain particular gray level in collection, by the figure
As being mapped as a fuzzy matrix；WhereinIt is the gray level of pixel relative to certain specific gray scale
LevelDegree of membership；
Step 2：SettingIt is maximum gray scale；Defining membership function is：
；
Step 3：WhereinIt is type fuzzy factor reciprocal；It is exponential type fuzzy factor, therefore image mapping turns into fuzzy
Subordinated-degree matrix；
Step 4：Nonlinear function is used in fuzzy spaceConversion, realizes the contrast of enhancing both sides of edges pixel grey scale；；
Wherein,
RecycleBecome enhanced image of changing commanders and data space is become again by fuzzy space.
Step 5：Defining new boundary operator is：;
Wherein,Edge extracting is carried out to image information using new boundary operator.
A kind of intelligent rig electrohydraulic control system and method, system construction drawing such as Fig. 1 institutes are provided in the embodiment of the present invention 3
Show：
A kind of intelligent rig electrohydraulic control system, it includes：Power supply, joystick, hydraulic system, magnetic valve and multi-way reversing
Valve, power supply is connected by cable box with rig, and hydraulic system is controlled through magnetic valve and multiple directional control valve, it is characterised in that institute
Stating system also includes：For obtain system running state data message sensor group, for control system operation control at
Manage device and the image processor of system operation situation is judged for the image data information by collecting.
Further, the sensor group includes：TEMP for obtaining temperature data information during system operation
Device, for obtaining the voltage sensor of voltage data information during system operation, for obtaining current data information during system operation
Current sensor, for obtain the arc sensor of arc data information during system operation, for obtain during system operation press
The pressure sensor of force data information and the imageing sensor for obtaining image information during system operation；The TEMP
Signal is connected to control process device respectively for device, voltage sensor, current sensor, arc sensor and pressure sensor；It is described
Image sensor signal is connected to image processor.
Further, the control process device includes：The memory module of the data message obtained for storage sensor group,
Remotely controlled for judging judge module that whether system normally run according to the data message for obtaining and will determine that result is sent to
The wireless data transfer module of terminal processed；Signal is connected to memory module and data transmission module to the judge module respectively；Institute
Signal is connected to temperature sensor, voltage sensor, current sensor, arc sensor and pressure sensing respectively to state memory module
Device.
Further, described image processor includes：Image capture module, image pre-processing module, image segmentation module,
Characteristic extracting module and picture recognition module；Described image acquisition module signal is connected to image pre-processing module；Described image
Pretreatment module signal is connected to image segmentation module；Described image segmentation module by signal is connected to characteristic extracting module；It is described
Characteristic extracting module signal is connected to picture recognition module.
A kind of method of intelligent rig electrohydraulic control system, is characterised by, the described method comprises the following steps：
Step 1：System initialization, the data message in sensor group real-time acquisition system running, the temperature number that will be obtained
According to, voltage data, current data, arc data and pressure data information be sent to control process device；The view data that will be obtained
Information is sent to image processor；
Step 2：Control process device according to obtain data message judge system whether operation exception, if judging, system operation is different
Often, then data message is sent to remote control terminal；If judging, system operation is normal, and data message is kept in into storage mould
Block；
Step 2：Original image information of the image processor to the original image information for receiving successively to receiving carries out image
Pretreatment, image segmentation, feature extraction and image recognition；
Step 4：According to the result of image procossing, judge system whether operation exception, if judging system operation exception, by data
Information is sent to remote control terminal；If judging, system operation is normal, and data message is kept in into memory module.
Further, described image processing system is to the method for carrying out image preprocessing：Generation one contains odd number
The sliding window of pixel, the Mesophyticum of each point in the gray value window of window mid-point is replaced, and is scanned on image with window,
Finally enter pretreated image.
Further, described image processing system is comprised the following steps to the method for carrying out image segmentation：
Step 1：Image is mapped to fuzzy characteristics domain from spatial domain, is concretely comprised the following steps：Secondary that gray level of setting'sFirst graphical representation is a fuzzy set, and each element is the membership function relative to certain particular gray level in collection, will
The image is mapped as a fuzzy matrix；WhereinFor the gray level of pixel is specific relative to certain
Gray levelDegree of membership；
Step 2：SettingIt is maximum gray scale；Defining membership function is：；
Step 3：WhereinIt is type fuzzy factor reciprocal；It is exponential type fuzzy factor, therefore image mapping turns into fuzzy
Subordinated-degree matrix；
Step 4：Nonlinear function is used in fuzzy spaceConversion, realizes the contrast of enhancing both sides of edges pixel grey scale；；
Wherein,
RecycleBecome enhanced image of changing commanders and data space is become again by fuzzy space.
Step 5：Defining new boundary operator is：;
Wherein,Edge extracting is carried out to image information using new boundary operator.
The invention is not limited in foregoing specific embodiment.The present invention is expanded to and any in this manual disclosed
New feature or any new combination, and disclose any new method or process the step of or any new combination.
Claims (7)
1. a kind of intelligent rig electrohydraulic control system, it includes：Power supply, joystick, hydraulic system, magnetic valve and multi-way reversing
Valve, power supply is connected by cable box with rig, and hydraulic system is controlled through magnetic valve and multiple directional control valve, it is characterised in that institute
Stating system also includes：For obtain system running state data message sensor group, for control system operation control at
Manage device and the image processor of system operation situation is judged for the image data information by collecting.
2. intelligence rig electrohydraulic control system as claimed in claim 1, is characterised by, the sensor group includes：For obtaining
The temperature sensor of temperature data information when taking system operation, the voltage biography for obtaining voltage data information during system operation
Sensor, for obtaining the current sensor of current data information during system operation, for obtaining during system operation arc data letter
The arc sensor of breath, for obtaining during system operation the pressure sensor of pressure data information and for obtaining during system operation
The imageing sensor of image information；The temperature sensor, voltage sensor, current sensor, arc sensor and pressure are passed
Signal is connected to control process device to sensor respectively；Described image sensor signal is connected to image processor.
3. intelligence rig electrohydraulic control system as claimed in claim 2, is characterised by, the control process device includes：For
Storage sensor group obtain data message memory module, for according to obtain data message judge whether system normally transports
Capable judge module and will determine that result is sent to the wireless data transfer module of remote control terminal；The judge module difference
Signal is connected to memory module and data transmission module；Signal is connected to temperature sensor, voltage biography to the memory module respectively
Sensor, current sensor, arc sensor and pressure sensor.
4. the method for intelligence rig electrohydraulic control system as claimed in claim 3, is characterised by, described image processor bag
Include：Image capture module, image pre-processing module, image segmentation module, characteristic extracting module and picture recognition module；The figure
As acquisition module signal is connected to image pre-processing module；Described image pretreatment module signal is connected to image segmentation module；
Described image segmentation module by signal is connected to characteristic extracting module；The characteristic extracting module signal is connected to image recognition mould
Block.
5. a kind of method of the intelligent rig electrohydraulic control system described based on one of Claims 1-4, is characterised by, described
Method is comprised the following steps：
Step 1：System initialization, the data message in sensor group real-time acquisition system running, the temperature number that will be obtained
According to, voltage data, current data, arc data and pressure data information be sent to control process device；The view data that will be obtained
Information is sent to image processor；
Step 2：Control process device according to obtain data message judge system whether operation exception, if judging, system operation is different
Often, then data message is sent to remote control terminal；If judging, system operation is normal, and data message is kept in into storage mould
Block；
Step 3：Original image information of the image processor to the original image information for receiving successively to receiving carries out image
Pretreatment, image segmentation, feature extraction and image recognition；
Step 4：According to the result of image procossing, judge system whether operation exception, if judging system operation exception, by data
Information is sent to remote control terminal；If judging, system operation is normal, and data message is kept in into memory module.
6. the method for intelligence rig electrohydraulic control system as claimed in claim 5, it is characterised in that described image processing system
Method to carrying out image preprocessing is：One sliding window containing odd number of pixels of generation, by the gray scale of window mid-point
The Mesophyticum of each point is replaced in value window, is scanned on image with window, finally enters pretreated image.
7. the method for intelligence rig electrohydraulic control system as claimed in claim 6, it is characterised in that described image processing system
Method to carrying out image segmentation is comprised the following steps：
Step 1：Image is mapped to fuzzy characteristics domain from spatial domain, is concretely comprised the following steps：Secondary that gray level of setting's
First graphical representation is a fuzzy set, and each element is the membership function relative to certain particular gray level in collection, by the figure
As being mapped as a fuzzy matrix；WhereinIt is the gray level of pixel relative to certain particular gray level's
Degree of membership；
Step 2：SettingIt is maximum gray scale；Defining membership function is：；
Step 3：WhereinIt is type fuzzy factor reciprocal；It is exponential type fuzzy factor, therefore image mapping turns into fuzzy membership
Degree matrix；
Step 4：Nonlinear function is used in fuzzy spaceConversion, realizes the contrast of enhancing both sides of edges pixel grey scale；；
Wherein,
RecycleBecome enhanced image of changing commanders and data space is become again by fuzzy space；
Step 5：Defining new boundary operator is：;
Wherein,Edge extracting is carried out to image information using new boundary operator.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611067753.XA CN106894806A (en) | 2016-11-29 | 2016-11-29 | A kind of intelligent rig electrohydraulic control system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611067753.XA CN106894806A (en) | 2016-11-29 | 2016-11-29 | A kind of intelligent rig electrohydraulic control system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106894806A true CN106894806A (en) | 2017-06-27 |
Family
ID=59198446
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611067753.XA Withdrawn CN106894806A (en) | 2016-11-29 | 2016-11-29 | A kind of intelligent rig electrohydraulic control system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106894806A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202110227U (en) * | 2011-05-31 | 2012-01-11 | 镇江泰丰电工设备制造有限公司 | Monitoring and diagnosing device of high-voltage electrical equipment |
| CN102700569A (en) * | 2012-06-01 | 2012-10-03 | 安徽理工大学 | Mining electric locomotive passerby monitoring method based on image processing and alarm system |
| WO2015191079A1 (en) * | 2014-06-13 | 2015-12-17 | Halliburton Energy Services, Inc. | Monitoring hydrocarbon recovery operations using wearable computer machines |
| CN105897925A (en) * | 2016-05-31 | 2016-08-24 | 成都九十度工业产品设计有限公司 | Mobile remote electric power monitoring system based on 4G network and monitoring method |
| CN105915645A (en) * | 2016-06-20 | 2016-08-31 | 上海博英信息科技有限公司 | Substation video monitoring automatic alarm system |
| CN205715073U (en) * | 2016-04-20 | 2016-11-23 | 威海人合机电股份有限公司 | A kind of intelligence rig electrohydraulic control system |
-
2016
- 2016-11-29 CN CN201611067753.XA patent/CN106894806A/en not_active Withdrawn
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202110227U (en) * | 2011-05-31 | 2012-01-11 | 镇江泰丰电工设备制造有限公司 | Monitoring and diagnosing device of high-voltage electrical equipment |
| CN102700569A (en) * | 2012-06-01 | 2012-10-03 | 安徽理工大学 | Mining electric locomotive passerby monitoring method based on image processing and alarm system |
| WO2015191079A1 (en) * | 2014-06-13 | 2015-12-17 | Halliburton Energy Services, Inc. | Monitoring hydrocarbon recovery operations using wearable computer machines |
| CN205715073U (en) * | 2016-04-20 | 2016-11-23 | 威海人合机电股份有限公司 | A kind of intelligence rig electrohydraulic control system |
| CN105897925A (en) * | 2016-05-31 | 2016-08-24 | 成都九十度工业产品设计有限公司 | Mobile remote electric power monitoring system based on 4G network and monitoring method |
| CN105915645A (en) * | 2016-06-20 | 2016-08-31 | 上海博英信息科技有限公司 | Substation video monitoring automatic alarm system |
Non-Patent Citations (1)
| Title |
|---|
| 杨水超等: "一种改进的模糊边缘检测快速算法", 《电脑开发与应用》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107038448B (en) | Target detection model construction method | |
| CN109255364B (en) | Scene recognition method for generating countermeasure network based on deep convolution | |
| CN110287849B (en) | Lightweight depth network image target detection method suitable for raspberry pi | |
| CN107239730B (en) | Quaternion deep neural network model method for intelligent automobile traffic sign recognition | |
| CN112837344B (en) | Target tracking method for generating twin network based on condition countermeasure | |
| CN107506765B (en) | License plate inclination correction method based on neural network | |
| CN108520215B (en) | Single-sample face recognition method based on multi-scale joint feature encoder | |
| CN107103616A (en) | A kind of method for tracking target and system | |
| CN111126494B (en) | Image classification method and system based on anisotropic convolution | |
| CN103218621A (en) | Identification method of multi-scale vehicles in outdoor video surveillance | |
| CN111340727B (en) | Abnormal flow detection method based on GBR image | |
| CN117523181B (en) | Multi-scale object grabbing point detection method and system based on unstructured scene | |
| CN115861260A (en) | Deep learning change detection method for wide-area city scene | |
| CN117252928B (en) | Visual image positioning system for modular intelligent assembly of electronic products | |
| CN114882494A (en) | Multi-mode attention-driven three-dimensional point cloud feature extraction method | |
| CN114067273A (en) | Night airport terminal thermal imaging remarkable human body segmentation detection method | |
| CN107170004B (en) | Image matching method for matching matrix in unmanned vehicle monocular vision positioning | |
| CN106894806A (en) | A kind of intelligent rig electrohydraulic control system and method | |
| CN116934796A (en) | Visual target tracking method based on twinning residual error attention aggregation network | |
| CN106650629A (en) | Kernel sparse representation-based fast remote sensing target detection and recognition method | |
| CN114494703B (en) | Intelligent workshop scene target lightweight semantic segmentation method | |
| CN115359304A (en) | Single image feature grouping-oriented causal invariance learning method and system | |
| CN113111919B (en) | Hyperspectral image classification method based on depth high resolution | |
| Billah et al. | Real time traffic sign detection and recognition using adaptive neuro fuzzy inference system | |
| CN109993782B (en) | Heterogeneous remote sensing image registration method and device for ring-shaped generation countermeasure network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20170627 |
|
| WW01 | Invention patent application withdrawn after publication |