CN116840266A - Monitoring system, method and equipment for coiled tubing equipment and related device - Google Patents
Monitoring system, method and equipment for coiled tubing equipment and related device Download PDFInfo
- Publication number
- CN116840266A CN116840266A CN202310825984.6A CN202310825984A CN116840266A CN 116840266 A CN116840266 A CN 116840266A CN 202310825984 A CN202310825984 A CN 202310825984A CN 116840266 A CN116840266 A CN 116840266A
- Authority
- CN
- China
- Prior art keywords
- coiled tubing
- monitoring
- data
- equipment
- determining
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 180
- 238000000034 method Methods 0.000 title claims abstract description 88
- 230000007547 defect Effects 0.000 claims abstract description 130
- 230000008859 change Effects 0.000 claims description 27
- 238000012806 monitoring device Methods 0.000 claims description 13
- 230000035772 mutation Effects 0.000 claims description 13
- 238000005336 cracking Methods 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 6
- 230000005856 abnormality Effects 0.000 claims description 4
- 230000032683 aging Effects 0.000 claims description 4
- 239000003921 oil Substances 0.000 description 87
- 238000001514 detection method Methods 0.000 description 48
- 238000012545 processing Methods 0.000 description 22
- 238000002347 injection Methods 0.000 description 17
- 239000007924 injection Substances 0.000 description 17
- 230000008569 process Effects 0.000 description 14
- 238000006243 chemical reaction Methods 0.000 description 10
- 238000004891 communication Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 8
- 230000002159 abnormal effect Effects 0.000 description 6
- 230000037396 body weight Effects 0.000 description 6
- 238000012423 maintenance Methods 0.000 description 5
- 238000009434 installation Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000008439 repair process Effects 0.000 description 3
- 239000000243 solution Substances 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 239000010720 hydraulic oil Substances 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 244000261422 Lysimachia clethroides Species 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000000586 desensitisation Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000009191 jumping Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000006748 scratching Methods 0.000 description 1
- 230000002393 scratching effect Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/952—Inspecting the exterior surface of cylindrical bodies or wires
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Health & Medical Sciences (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The application discloses a monitoring system, a method, equipment and a related device of coiled tubing equipment, which relate to the technical field of data monitoring, wherein the monitoring system of the coiled tubing equipment comprises: the controller and the data acquisition device comprise a sensor and a camera; the controller is respectively connected with the sensor and the camera; the camera is used for acquiring image data, the sensor is used for acquiring sensor data, and the controller is used for determining coiled tubing defect information according to the image data and the sensor data. The application reduces the cost of coiled tubing defect monitoring.
Description
Technical Field
The present application relates to the field of data monitoring technologies, and in particular, to a monitoring system, a method, an apparatus, and a related device for coiled tubing equipment.
Background
With the development of coiled tubing equipment, the requirements of users on data acquisition and coiled tubing monitoring of the coiled tubing equipment are higher, and the costs of data acquisition and monitoring are further reduced while the requirements on normal data acquisition and coiled tubing monitoring of the coiled tubing equipment are hoped to be met, so that the requirements on the data acquisition and the coiled tubing monitoring of the coiled tubing equipment are higher.
The traditional coiled tubing defect monitoring mode is to monitor the defects of the coiled tubing through eddy current detection, electromagnetic detection and ultrasonic detection. The coiled tubing defect monitoring method has the problem that the coiled tubing defect monitoring can be performed only by using eddy current detection, electromagnetic detection and ultrasonic detection. That is, the coiled tubing defect monitoring method can be used for performing defect monitoring on the coiled tubing by using eddy current detection, electromagnetic detection and ultrasonic detection, so that the cost of the coiled tubing defect monitoring is high.
Disclosure of Invention
The application mainly aims to provide a monitoring system, a monitoring method, a monitoring device and a monitoring related device of coiled tubing equipment, which aim to solve the technical problem of high cost of coiled tubing defect monitoring.
In order to achieve the above object, the present application provides a monitoring system of coiled tubing equipment, comprising a controller and a data collector, wherein the data collector comprises a sensor and a camera;
the controller is respectively connected with the sensor and the camera;
the camera is used for acquiring image data, the sensor is used for acquiring sensor data, and the controller is used for determining coiled tubing defect information according to the image data and the sensor data.
Optionally, the monitoring system of the coiled tubing equipment further comprises an alarm, the controller is connected with the alarm, and the controller is further used for generating an alarm instruction according to the coiled tubing defect information and sending the alarm instruction to the alarm;
and/or the number of the groups of groups,
the controller is connected with the display, and is further used for generating a data display instruction according to the sensor data and sending the data display instruction to the display.
In addition, in order to achieve the above object, the present invention also provides a method for monitoring a coiled tubing apparatus, the method for monitoring a coiled tubing apparatus being applied to the system for monitoring a coiled tubing apparatus, the method for monitoring a coiled tubing apparatus comprising the steps of:
acquiring collected monitoring data information; wherein the monitoring data information includes image data and sensor data;
and determining coiled tubing defect information according to the image data and the sensor data.
Optionally, the step of determining the coiled tubing defect information from the image data and the sensor data includes:
determining current image characteristics corresponding to the image data, and determining target image characteristics matched with the current image characteristics in a preset image characteristic table;
And determining oil pipe depth data in the sensor data, and determining coiled tubing defect information based on the target image features and the oil pipe depth data.
Optionally, the step of determining coiled tubing defect information based on the target image feature and the tubing depth data comprises:
determining the position of the continuous oil pipe corresponding to the oil pipe depth data;
if the target image features are preset normal image features, the coiled tubing is normally used as coiled tubing defect information of the position of the coiled tubing;
if the target image features are not preset normal image features, determining defect types corresponding to the target image features, and taking the defect types as coiled tubing defect information of the coiled tubing positions; wherein the defect types include cracking, aging, and pitting.
Optionally, after the step of acquiring the collected monitoring data information, the method includes:
determining all sensor data in the monitoring data information, sequentially determining the numerical values corresponding to the sensor data, and judging the working condition of equipment based on the numerical values;
and if the numerical value does not meet the equipment working requirement, generating working abnormality prompt information of the continuous oil pipe equipment.
Optionally, the determining the numerical value corresponding to the sensor data in turn, and determining the working condition of the device based on the numerical value specifically includes:
determining a number indicating object corresponding to the numerical value, and determining a threshold range corresponding to the number indicating object in a preset threshold table;
determining the change trend of the numerical value, and determining the mutation change trend corresponding to the reading object in the threshold value table;
and if the numerical value is not in the threshold range or the change trend is matched with the abrupt change trend, determining that the numerical value does not meet the equipment working requirement.
The application also provides a monitoring device of the coiled tubing device, which comprises: the method comprises a memory, a processor and a program of the monitoring method of the coiled tubing equipment, wherein the program of the monitoring method of the coiled tubing equipment is stored on the memory and can run on the processor, and the steps of the monitoring method of the coiled tubing equipment can be realized when the program of the monitoring method of the coiled tubing equipment is executed by the processor.
The application also provides a computer storage medium, wherein the computer storage medium stores a monitoring program for realizing the continuous oil pipe equipment, and the monitoring program for realizing the continuous oil pipe equipment is executed by a processor to realize the steps of the monitoring method for the continuous oil pipe equipment.
In addition, to achieve the above object, the present application also provides a computer program product having stored thereon a monitoring program for implementing a coiled tubing apparatus, which when executed by a processor, implements the steps of the monitoring method for implementing a coiled tubing apparatus as described above.
The technical scheme of the application provides a monitoring system of coiled tubing equipment, which comprises a controller and a data acquisition unit, wherein the data acquisition unit comprises a sensor and a camera; the controller is respectively connected with the sensor and the camera; the camera is used for acquiring image data, the sensor is used for acquiring sensor data, and the controller is used for determining coiled tubing defect information according to the image data and the sensor data. The method for monitoring the continuous oil pipe equipment comprises the steps of acquiring sensor data through a sensor to obtain digital quantity information and acquiring image data through a camera, and finally determining the defect information of the continuous oil pipe based on the image data and the digital quantity information so as to realize detection of the continuous oil pipe, further avoiding the phenomenon that the defect of the continuous oil pipe can be monitored only by using eddy current detection, electromagnetic detection and ultrasonic detection.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a schematic diagram of a monitoring device structure of coiled tubing equipment in a hardware operating environment according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a monitoring system framework of the coiled tubing unit of the present application;
FIG. 3 is a flow chart of a solution of a method of monitoring a coiled tubing unit according to the present application;
FIG. 4 is a schematic flow chart of a method of monitoring a coiled tubing unit according to the present application;
FIG. 5 is a schematic diagram of a frame of a monitoring system for coiled tubing equipment of the present application;
fig. 6 is a schematic diagram of yet another framework of the monitoring system of the coiled tubing unit of the present application.
Reference numerals illustrate:
| reference numerals | Name of the name | Reference numerals | Name of the name |
| 0002 | Acquisition interface | 0003 | Processor and method for controlling the same |
| 0004 | Processing interface | 0005 | Memory device |
| 0001 | Communication bus | 61-6n | Display 1-display n |
| 51-5n | Camera 1-camera n | 40 | Controller for controlling a power supply |
| 11-1n | Sensor 1-sensor n |
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a monitoring device of coiled tubing equipment in a hardware operation environment according to an embodiment of the present invention.
As shown in fig. 1, the monitoring device of the coiled tubing device may include: processor 0003, e.g. central processing unit (Central Processing Unit, CPU), communication bus 0001, fetch interface 0002, processing interface 0004, memory 0005. Wherein a communication bus 0001 is used to enable connected communication between these components. Acquisition interface 0002 may comprise an information acquisition system, an acquisition unit such as a computer, and optional acquisition interface 0002 may also comprise a standard wired interface, a wireless interface. Processing interface 0004 may optionally comprise a standard wired interface, a wireless interface. The Memory 0005 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or a stable Non-Volatile Memory (NVM), such as a disk Memory. The memory 0005 may alternatively be a memory system separate from the aforementioned processor 0003.
It will be appreciated by those skilled in the art that the configuration shown in fig. 1 does not constitute a limitation of the monitoring device of the coiled tubing device and may include more or fewer components than shown, or certain components may be combined, or a different arrangement of components.
As shown in fig. 1, the memory 0005 as a storage medium may include an operating system, an acquisition interface module, an execution interface module, and a monitoring program of the coiled tubing apparatus.
In the monitoring device of the coiled tubing unit shown in fig. 1, the communication bus 0001 is mainly used for enabling connection communication between components; the acquisition interface 0002 is mainly used for connecting a background server and carrying out data communication with the background server; the processing interface 0004 is mainly used for connecting a deployment end (user end) and carrying out data communication with the deployment end; the processor 0003 and the memory 0005 in the monitoring device of the coiled tubing equipment can be arranged in the monitoring device of the coiled tubing equipment, the monitoring device of the coiled tubing equipment calls the monitoring program of the coiled tubing equipment stored in the memory 0005 through the processor 0003, and the monitoring method of the coiled tubing equipment provided by the embodiment of the invention is executed. Illustratively, processor 0003 is a vehicle lamp controller.
For clarity and conciseness in the description of the following embodiments, a brief description of the implementation of a method for monitoring coiled tubing equipment is first given:
the versatility, flexibility and stability of coiled tubing work equipment, also known as a universal work machine, make coiled tubing work equipment have great advantages and become increasingly popular and more applicable. In the operation process of coiled tubing equipment, a plurality of equipment parameters need to be set and monitored, and a plurality of operation data need to be displayed. On the one hand, in the existing coiled tubing equipment, a plurality of hydraulic or electronic watches are arranged in a control room and used for displaying various equipment parameters and operation data, the weight ratio is required to be set to be consistent with that of an injection head weight system, and the inconsistency can cause inaccurate display of a weight table. The electronic watch has the advantages that the fault rate of the electronic watch is high, the operation of equipment is affected after the fault, the hydraulic watch is damaged, no standby display instrument is arranged, the operation of the equipment is affected, a plurality of hydraulic pipelines are needed to be installed by using the electronic watch, the pollution is easily caused by hydraulic oil leakage, the power supply line and the signal line are needed to be installed by using the electronic watch, and the pipelines in the control room are disordered, so that the installation, the maintenance and the repair of the equipment are not facilitated. The key point is that the equipment parameters and operation data collected by the hydraulic meter or the electronic watch are abnormal and need to be identified manually, the requirement on personnel experience is high, and the working strength is high; on the other hand, the existing coiled tubing monitoring needs to use eddy current detection, electromagnetic detection and ultrasonic detection to detect defects of the coiled tubing, and the eddy current detection, electromagnetic detection and ultrasonic detection need to use monitoring equipment with high cost, so that the problem of high cost of the coiled tubing monitoring is caused.
The application relates to a monitoring system of coiled tubing equipment, which comprises a controller and a data acquisition unit, wherein the data acquisition unit comprises a sensor and a camera; the controller is respectively connected with the sensor and the camera; the camera is used for acquiring image data, the sensor is used for acquiring sensor data, and the controller is used for determining coiled tubing defect information according to the image data and the sensor data. The method for monitoring the continuous oil pipe equipment comprises the steps of acquiring sensor data through a sensor to obtain digital quantity information and acquiring image data through a camera, and finally determining the defect information of the continuous oil pipe based on the image data and the digital quantity information so as to realize detection of the continuous oil pipe, further avoiding the phenomenon that the defect of the continuous oil pipe can be monitored only by using eddy current detection, electromagnetic detection and ultrasonic detection.
The application provides a schematic diagram of a monitoring system framework of coiled tubing equipment, referring to fig. 2, the monitoring system of the coiled tubing equipment comprises a controller 40 and a data collector 10 (not shown in the figure), wherein the data collector 10 comprises a sensor 11-1n and a camera 51-5n;
The controller 40 is connected with the cameras 51-5n and the sensors 11-1n respectively;
wherein the camera 51-5n is used for acquiring image data, the sensor 11-1n is used for acquiring sensor data, and the controller 40 is used for determining coiled tubing defect information according to the acquired image data and the sensor data.
In this embodiment, an analog-digital converter may be disposed between the sensor 11-1n and the controller 40 for connection, referring to fig. 6, fig. 6 is a schematic diagram of another frame of a monitoring system of a coiled tubing device, where the controller 40 is connected with the display screen 61-6n, the camera 51-5n and the sensor 11-1n respectively, so as to realize collection and monitoring of the meter values and separate control of the controller 40, avoiding the need of using a large number of electronic watches and hydraulic meters for monitoring in the conventional technology, greatly reducing the cost, reducing the maintenance cost by reducing the hydraulic liquid transmission line and the electronic wires, and realizing defect monitoring of the coiled tubing by connecting the controller 40 with the camera 51-5n, and further avoiding the cost input introduced by the technologies such as various devices and ultrasonic detection. The cameras 51-5n and the sensors 11-1n may be common cameras and sensors, there may be a plurality of cameras and sensors, analog quantity (i.e. sensor data) responsible for collecting image data and meter data, the analog-to-digital converter may be a common digital-to-analog converter, only digital-to-analog conversion needs to be implemented, the controller 40 may internally include a data processor, the data processor may be a processing chip, a PLC (Programmable Logic Controller ) or the like, and the controller 40 may be an industrial control all-in-one machine, a computer or other control instruments, which are not limited specifically herein. The sensor data collected by the sensor 11-1n is subjected to analog-to-digital conversion processing by an analog-to-digital converter in the data processor 30 to obtain digital quantity information, the continuous oil pipe defect information is determined in the controller 40 based on the digital quantity information converted by the sensor data and the image data collected by the camera 51-5n, the digital quantity information and the continuous oil pipe defect information can be displayed on the display screen 61-6n finally, and meanwhile, the image data collected by the camera 51-5n can be displayed on the display screen 61-6 n. The sensor data refers to data collected by the sensor, such as pressure value, tension value and the like, the digital quantity information refers to a digital value obtained by converting an analog value collected by the sensor, the image data refers to data of an image collected by a camera, and the coiled tubing defect information refers to defect information such as cracking, opening and the like on the coiled tubing. The continuous oil pipe is subjected to defect monitoring based on the image data and the digital quantity information, the digital quantity information is obtained by monitoring the descending depth information of the continuous oil pipe so as to determine which position of the continuous oil pipe is monitored at the moment, and then the defect monitoring of the continuous oil pipe is completed without using specific vortex detection, electromagnetic detection and ultrasonic detection, so that the cost of the defect monitoring of the continuous oil pipe can be greatly reduced.
The data collector 20 includes a plurality of sensors 11-1n and a plurality of cameras 51-5n, and the data collection is realized by the cameras and the sensors, so that the problems that the continuous oil pipe is subjected to defect monitoring in a manner of electromagnetic detection, vortex detection and ultrasonic detection and the continuous oil pipe equipment is required to be subjected to data collection by a hydraulic meter and an electronic watch can be avoided, and the problems that the electromagnetic detection, the vortex detection and the ultrasonic detection are required to purchase and install separate detection equipment and software and are expensive, and a large number of hydraulic pipelines and wires are required to be used by the hydraulic meter and the electronic watch, so that the maintenance is difficult can be avoided. And further, sensor data acquired by each sensor are acquired, and signal analog-to-digital conversion is performed on the sensor data to obtain digital quantity information, wherein the sensor data refer to initial analog signals acquired by the sensors, the signal analog-to-digital conversion refers to a mode conversion process performed by a specific analog-to-digital converter, the analog quantity is converted into digital quantity, and the digital quantity information refers to a numerical value after the analog quantity conversion. Meanwhile, the image data collected by each camera are obtained, and finally, the image data collected by the cameras and the digital quantity information are summarized to obtain monitoring data information. The image data is an image acquired by the camera, and after the camera image is obtained, the image can be subjected to binarization processing or denoising processing or desensitization processing, so that the camera image which needs to be summarized is obtained, and the accuracy and the safety of the acquired image can be further ensured through the processing. The camera and the sensor are adopted to realize data acquisition, so that a large number of hydraulic pipelines and wires are reduced, and meanwhile, the electronic instrument is used for replacing the entity instrument, so that the equipment cost and the failure rate can be reduced, and meanwhile, the installation, the maintenance and the repair are easy.
It should be noted that, the controller 40 is provided with an external interface, which can be connected with an external computer to display and copy data, or can remotely display and monitor the controller 40 through a network. Referring to fig. 5, fig. 5 is a schematic diagram of a frame of a monitoring system of a coiled tubing apparatus, which is illustrated by using a controller 40 as an industrial control integrated machine, wherein the monitoring system of the coiled tubing apparatus collects a clamping hydraulic system pressure, a tensioning hydraulic system pressure, an injection head brake pressure, a drum brake pressure, an injection head motor pressure, a blowout preventer hydraulic system pressure, a blowout preventer cartridge hydraulic system pressure, a hydraulic oil temperature, a liquid level, each ram position of the blowout preventer, a circulating pressure, a wellhead pressure, weight data, an oil pipe depth and an oil pipe depth encoder, etc., and then converts the collected signals into digital quantities by an analog quantity digital quantity conversion module (i.e., an analog-to-digital converter), and the digital quantity data is transmitted to a controller data processing (i.e., a data processor 30) in the system and then to industrial control computers 1-N; meanwhile, cameras are arranged at the positions of the injection head, the roller, the gooseneck and the like, and image information of the observation cameras at all positions of the continuous oil pipe equipment is collected and transmitted to the industrial personal computers 1-N. And finally, the industrial personal computers 1-N control the display to display or monitor and process based on the image information and the digital quantity data, wherein the monitoring and processing is consistent with the flow of the monitoring method of the continuous oil pipe equipment. Meanwhile, the whole system has fault self-detection capability, can detect working anomalies of a sensor, an analog quantity-digital quantity conversion module, a controller and the like, and the working anomalies comprise but are not limited to short circuits, open circuits, signal jumping, zero drift and the like, and prompt clients to repair and replace. By arranging the data detector, for example, the signal collector detects whether the data transmission processing has problems, and simultaneously establishes a corresponding circuit to detect whether faults such as short circuit, circuit break and the like exist, the detection can be realized by detecting the voltage and the current at two ends of a circuit or a device. And then can guarantee the monitoring accuracy of the monitoring system of whole coiled tubing equipment, the system possesses trouble self-detection ability simultaneously, promotes the stability and the reliability of system.
Further, the monitoring system of the coiled tubing equipment further comprises an alarm, the controller 40 is connected with the alarm, and the controller 40 is further used for generating an alarm instruction according to the coiled tubing defect information and sending the alarm instruction to the alarm;
and/or the number of the groups of groups,
the display, the controller 40 is connected with the display, the controller 40 is further configured to generate a data display instruction according to the sensor data, and send the data display instruction to the display.
In this embodiment, the whole system may be provided with an alarm or a display separately, or may be provided with an alarm and a display simultaneously. The controller 40 can control the alarm of the alarm and the display of the display, if the defect information of the coiled tubing is that the coiled tubing is found to be defective, an alarm instruction is generated based on the controller 40 to control the alarm to alarm, wherein the alarm instruction is an instruction for controlling the alarm to work or controlling the alarm to work in a specific state, if the alarm is a display lamp, the alarm can be controlled by the alarm instruction to display different colors to alarm, or other modes such as a buzzer to alarm are also possible, and the alarm is not limited herein. Meanwhile, the controller 40 can also generate a data display instruction according to the sensor data, and further control the display to display based on the data display instruction, the display can be a display screen or other display instruments, the data display instruction refers to an instruction for controlling the display to display, and further display the collected data, and meanwhile, the collected image can also be displayed, such as the size and the actual condition of the coiled tubing defect in the display image, and the method is not limited herein. Finally, the user can intuitively know the actual condition of the whole monitoring through the alarm and the display.
The monitoring system of the coiled tubing equipment comprises a controller and a data acquisition unit, wherein the data acquisition unit comprises a sensor and a camera; the controller is respectively connected with the sensor and the camera; the camera is used for acquiring image data, the sensor is used for acquiring sensor data, and the controller is used for determining coiled tubing defect information according to the image data and the sensor data. The method for monitoring the continuous oil pipe equipment comprises the steps of acquiring sensor data through a sensor to obtain digital quantity information and acquiring image data through a camera, and finally determining the defect information of the continuous oil pipe based on the image data and the digital quantity information so as to realize detection of the continuous oil pipe, further avoiding the phenomenon that the defect of the continuous oil pipe can be monitored only by using eddy current detection, electromagnetic detection and ultrasonic detection.
Based on the hardware structure, the embodiment of the monitoring method of the coiled tubing equipment is provided.
The embodiment of the invention provides a monitoring method of coiled tubing equipment, referring to fig. 4, fig. 4 is a flow chart of the monitoring method of the coiled tubing equipment, the monitoring method of the coiled tubing equipment is applied to a monitoring system of the coiled tubing equipment, and the monitoring method of the coiled tubing equipment comprises the following steps:
step S10, acquiring collected monitoring data information; wherein the monitoring data information includes image data and sensor data;
in this embodiment, the controller acquires the acquired data information of the sensor and the camera, and determines to perform different monitoring processes on the data acquired by the camera and the sensor. The monitoring data information is various data collected by the data collector and at least comprises image data and sensor data, and the follow-up data can be processed differently according to the data type in the monitoring data information, such as the image data is data for monitoring the defects of the continuous oil pipe, the sensor data is data for monitoring the operation of the continuous oil pipe equipment and the operation state, the data type is the image data and the digital quantity information for judging the monitoring data information, so that different monitoring functions of the continuous oil pipe equipment and the continuous oil pipe are realized, and the monitoring accuracy of the continuous oil pipe equipment is ensured.
And step S20, determining coiled tubing defect information according to the image data and the sensor data.
In this embodiment, when the image data is processed, coiled tubing defect information is determined from the image data and the sensor data. The coiled tubing defect information refers to information of whether a defect exists in the monitoring of the coiled tubing and the defect exists. The continuous oil pipe equipment is monitored mainly by determining image characteristics in current image data and based on the current image characteristics and a preset image characteristic table. The current image feature refers to feature information in the acquired image, the preset image feature table refers to a table of different defects, defect sizes, severity and normal image features created according to the coiled tubing, for example, the feature of a normal image of the coiled tubing equipment is A, the feature of the current image feature of the monitoring data information found in the image feature table is B, wherein the difference between the feature A and the feature B is determined as the defect of the coiled tubing, the defect is determined according to the different defect features of the preset feature table, and then the coiled tubing in the coiled tubing equipment is accurately monitored at low cost.
For example, a plurality of display screens may be provided in the monitoring system of the coiled tubing apparatus for displaying the meter values or camera images, such as a plurality of (three or more) industrial personal computers with display screens (one of which is a controller) or individual industrial personal computers and display screens (three or more) arranged in directions and angles that are easy for the operator to observe, in the control room. The display interfaces of the displays can contain the same or different equipment parameters, operation data and monitoring pictures, wherein the monitoring pictures at least comprise images acquired by the cameras, and the equipment parameters and the operation data at least comprise various instrument values acquired by the sensors. The system carries out self-defined setting on the display content of each display through a human-computer interaction interface, for example, intelligently distributes the display information of each display according to the number of the displays and the arrangement of the displays or automatically sets the display content and the display mode of each display according to own habits. It should be noted that any one of the display screens in the system can display different interfaces (including all equipment parameters, operation data and monitoring pictures) to jointly provide all data required by the operation. When one of the display screens fails, other parts are not affected, other display screens can be used for displaying needed contents, and the display screens can be mutually standby, so that smooth operation can be ensured.
Further, the present embodiment also provides a flowchart of a technical scheme of a monitoring method of coiled tubing equipment, referring to fig. 3, in this embodiment, after the controller obtains the monitoring data information, the controller separately processes the monitoring data information as meter data and a camera image, where the meter data is collected by a sensor and used for monitoring various parameter values of the equipment, and the camera image is collected by a camera and used for monitoring defects of the coiled tubing. And further performing a corresponding monitoring process, namely determining the defect information of the continuous oil pipe and determining all sensor data in the monitoring data information according to the image data and the digital quantity information, wherein the monitoring data information is acquired by a camera or a sensor and is subjected to image processing or data processing, the instrument data is numerical value data of an instrument, the sensor performs analog-to-digital conversion to obtain the instrument data, and the camera image is an image shot by the camera. When the camera image is processed, whether the camera image is matched with normal defect-free image features or not is detected, if so, the fact that the continuous oil pipe is free of defects can be determined, and then the flow of monitoring the defects of the continuous oil pipe is finished, otherwise, defect prompt or alarm can be generated when the continuous oil pipe is not matched, wherein the defect prompt means prompt information for prompting a user of defects of continuous oil pipe equipment at a specific position and comprises defect type, position and other information; when the instrument data is processed, the numerical value can be displayed on a display screen in a numerical display mode, such as numerical display, virtual dial reality and the like, meanwhile, whether the numerical value of the instrument meets the numerical requirement is detected, when the numerical requirement is met, that is, the acquired numerical value accords with the normal working numerical value of the continuous oil pipe equipment, the flow of monitoring the continuous oil pipe equipment data is finished, otherwise, a numerical indication prompt or an alarm can be generated when the numerical value does not meet the requirement, and the numerical indication prompt means prompt information for prompting a user that the numerical value of the continuous oil pipe equipment instrument is abnormal at a specific position. Finally, based on the judgment of the instrument numerical value and the camera image, on one hand, the defect of the continuous oil pipe can be intelligently identified, so that the cost of continuous oil pipe defect monitoring is reduced, on the other hand, the data monitoring can be directly carried out through the instrument data acquired by the sensor, the monitoring accuracy of continuous oil pipe equipment is further improved, the oil pipe installation of the hydraulic meter is reduced, and the installation and maintenance efficiency can be further improved.
The monitoring method of the coiled tubing equipment of the embodiment obtains the collected monitoring data information; wherein the monitoring data information includes image data and sensor data; according to the image data and the sensor data, the continuous oil pipe defect information is determined, the sensor data is acquired through the sensor to obtain digital quantity information and the camera is used for acquiring the image data, and finally the continuous oil pipe defect information is determined based on the image data and the digital quantity information, so that the detection of the continuous oil pipe is realized, the phenomenon that the continuous oil pipe can be subjected to defect monitoring only by using eddy current detection, electromagnetic detection and ultrasonic detection can be avoided, and the continuous oil pipe defect information is determined through the image data and the digital quantity information acquired by the camera, so that the cost of continuous oil pipe defect monitoring is reduced.
Further, based on the first embodiment of the monitoring method of the coiled tubing unit, a second embodiment of the monitoring method of the coiled tubing unit is provided, and the monitoring method of the coiled tubing unit comprises the following steps:
the step of determining the coiled tubing defect information from the image data and the sensor data comprises:
Step S11, determining the current image characteristics corresponding to the image data, and determining target image characteristics matched with the current image characteristics in a preset image characteristic table;
and step S12, determining oil pipe depth data in the sensor data, and determining continuous oil pipe defect information based on the target image features and the oil pipe depth data.
In this embodiment, by determining the current image feature corresponding to the image data, where the current image feature is a feature in the image data collected at this time, the extraction may be performed by an image processing method, such as a binary method, an image graying method, and the like, which is not limited herein. Finally, the target image characteristics matched with the current image characteristics can be determined in a preset image characteristic table, wherein the target image characteristics refer to the image characteristics which are the same as or similar to the current image characteristics in the preset image characteristic table. Further, by determining tubing depth data in the sensor data in subsequent processing, coiled tubing defect information may be determined based on the target image features and the tubing depth data. The oil pipe depth data refers to descending depth information of the continuous oil pipe, whether defects exist or not can be determined based on the feature monitoring result, and the positions of the oil pipes where the defects are located can be determined based on the oil pipe depth data. And then can accurately carry out defect monitoring to coiled tubing through the image and the sensor data that camera and sensor gathered, reduced the cost of current coiled tubing defect monitoring.
Further, based on the first embodiment and/or the second embodiment of the method for monitoring a coiled tubing unit according to the present invention, a third embodiment of the method for monitoring a coiled tubing unit according to the present invention is provided, and the step of determining coiled tubing defect information based on the target image feature and the tubing depth data includes:
step a, determining the position of the continuous oil pipe corresponding to the oil pipe depth data;
in this embodiment, through the coiled tubing position corresponding to the tubing depth data, the detected image of the position of the coiled tubing that is currently detected by the camera can be further determined, and further the detected position of the whole coiled tubing can be accurately determined, where the coiled tubing position refers to the detected position of the camera on the coiled tubing, for example, the detected position of the camera can be determined through the descending depth of the coiled tubing, and also can be determined through other modes. The image collected by the camera is used for carrying out defect identification on the coiled tubing equipment, so that the coiled tubing can be subjected to defect monitoring in a mode of electromagnetic detection, vortex detection and ultrasonic detection, and the control cost of the whole monitoring is reduced. And various defects of the coiled tubing on the coiled tubing equipment can be identified through intelligent identification of the camera image, and an alarm is given, so that the safety of operation is ensured.
Step b, if the target image features are preset normal image features, using the coiled tubing as the coiled tubing defect information of the position of the coiled tubing normally;
c, if the target image features are not preset normal image features, determining a defect type corresponding to the target image features, and taking the defect type as coiled tubing defect information of the coiled tubing position; wherein the defect types include cracking, aging, and pitting.
In this embodiment, when the target image feature is a preset normal image feature, the coiled tubing defect information of the corresponding coiled tubing position is determined to be normal through the previous coiled tubing position, the coiled tubing position may be a position acquired by a sensor arranged at the bottom end of the coiled tubing, and then the current monitoring position may be determined according to the position of the bottom end of the coiled tubing when the camera is fixed, or data acquired by sensors at other positions may be determined. And when the target image features are not the preset normal image features, determining the defect type corresponding to the target image features, and further taking the defect type as continuous oil pipe defect information of the continuous oil pipe position. The target image information is an image feature which is the same as or similar to the current image feature in the image feature table, the defect type is a defect type corresponding to the target image feature, different defect types have different image features, the system automatically identifies the defect type according to the detected image feature, finally, defect prompt information can be generated to prompt a user, the defect prompt information is prompt information of the defect of the coiled tubing, if the target image information is B1, the corresponding defect type is cracking, the severity and the defect size of the target image feature are further determined, and mainly, the image size of the target image information B1 is determined according to the system, if the target defect image feature is B1 which is cracking of 2 square centimeters, the defect prompt information is determined to be the defect prompt information of fine cracking, and if the target defect image feature is cracking of B1 which is 20 square centimeters, the defect prompt information is determined to be the defect prompt information of severe cracking. And further, the accuracy of identification can be ensured, and meanwhile, the investment of manual identification operation and high-cost identification equipment is reduced.
Illustratively, the camera acquires an image of the coiled tubing for intelligent image recognition, and defects on the coiled tubing can be identified, wherein the identified defects include, but are not limited to, cracking, breaking, bending, external corrosion, scratching, scoring, pits, ports, leakage, and the like. And recording the position and the form of the defect according to an encoder on the coiled tubing equipment, judging the type of the defect and the severity of the defect based on the form, and prompting or alarming. Meanwhile, the whole method has self-learning capability, and accuracy and precision of identifying defects are continuously and autonomously improved based on historical identification information (various data of the historical identification defects are subjected to internal optimization training). If the slip between the slip of the injection head and the oil pipe can be observed by the camera at the injection head part, and a prompt or an alarm can be generated according to the severity of the actual difference characteristic.
Further, based on the first embodiment, the second embodiment and/or the third embodiment of the monitoring method of the coiled tubing unit according to the present invention, after the step of acquiring the acquired monitoring data information in the fourth embodiment of the monitoring method of the coiled tubing unit according to the present invention is provided, the method includes:
f, determining all sensor data in the monitoring data information, sequentially determining the numerical values corresponding to the sensor data, and judging the working condition of the equipment based on the numerical values;
And g, if the numerical value does not meet the equipment working requirement, generating working abnormality prompt information of the continuous oil pipe equipment.
In this embodiment, during sensor data processing of sensor acquisition, by determining all sensor data in the monitoring data information, further sequentially determining values corresponding to the sensor data, further determining an equipment working condition based on the values, and when the values are determined not to meet the equipment working requirement, if the values of the sensor data M1 are determined to be equipment pressure values, performing subsequent determination after determining that the values of the sensor data M2 are equipment tension values, until the value determination of all the sensor data is completed, if the sensor data in the monitoring data information include the clamping hydraulic system pressure and the tensioning hydraulic system pressure, sequentially performing corresponding determination operations on the clamping hydraulic system pressure and the tensioning hydraulic system pressure, if the determination finds that the clamping hydraulic system pressure is abnormal, prompting or alarming, and simultaneously determining the tensioning hydraulic system pressure, and performing the next acquisition flow and further continuing the determination. Because the whole collection is carried out in real time, the collection process exists at each moment, the whole scheme is actually to collect the moment and judge the monitoring data information, and the collection process exists when judging the data. The numerical value refers to a numerical value corresponding to sensor data in the acquired data information, such as a pressure value x. The numerical value is obtained after analog-to-digital conversion of data acquired by the sensor. When the value meets the equipment working requirement, if the monitored equipment pressure is normal and the monitored flow is normal, the data monitoring process is continuously ended to carry out the next data monitoring, and the next data monitoring needs data to be the monitoring data information acquired at the next moment when the monitoring data information is currently acquired, namely, the process of monitoring the continuous oil pipe equipment is continuously executed, the process is consistent with the process of camera image acquisition, and the process can be acquired in real time or at intervals, so that the acquired data information at least comprises image data and sensor data, and the steps of the whole monitoring process are continuously executed; when the numerical value does not meet the equipment working requirement, the indication prompt information of the continuous oil pipe equipment is generated, wherein the indication prompt information is the prompt information indicating that the instrument indication is abnormal, and the numerical value can be displayed no matter whether the numerical value meets the equipment working requirement or not. And generating corresponding indication prompt information based on difference information by means of difference information between the value and a matched instrument value corresponding to the instrument value in preset value threshold information, wherein the difference information is the difference between the index value and the matched value, the matched value is the value matched with the value, for example, the value is a matched value R2-R3 corresponding to the pressure of the system R position, wherein R2 is less than R3, but R1 is more than R3, and the difference information is abnormal in the pressure of the system R position. Through the data of each dial plate of monitoring, the unusual and warning of discernment data guarantees the operation security, avoids simultaneously needing manual operation can guarantee the accuracy of whole monitoring.
Further, the step of sequentially determining the values corresponding to the sensor data and determining the working condition of the device based on the values includes:
and h, determining the number indicating object corresponding to the numerical value, and determining a threshold range corresponding to the number indicating object in a preset threshold table.
Step i, determining the change trend of the numerical value, and determining the mutation change trend corresponding to the number indicating object in the threshold value table;
and j, if the numerical value is not in the threshold range or the change trend is matched with the abrupt change trend, determining that the numerical value does not meet the equipment working requirement.
In this embodiment, after the step of determining the value corresponding to the sensor data, by determining the indication object of the value, determining a threshold range corresponding to the indication object in a preset threshold table, and determining a change trend of the value, and determining a sudden change trend corresponding to the indication object in the threshold table, when the value is not in the threshold range or the change trend is matched with the sudden change trend, the value is determined not to meet the equipment operation requirement, when the value is in the threshold range and the change trend is not matched with the sudden change trend, the value is determined to meet the equipment operation requirement, thereby the sudden change trend and the threshold range of different indication objects defined in the preset threshold table can be known when the matching requirement is met, for example, the pressure of a clamping hydraulic system, the pressure of a tensioning hydraulic system and the like are determined, the threshold range is the change range of the value indicating the object, for example, the pressure of the clamping hydraulic system is a1-a2, the change trend is the collected value, for example, the sudden change trend is defined as 10 measurement units per second, the mutation trend is the mutation trend, for example, the measurement unit is defined as the mutation trend, for example, the measurement unit is the mutation trend, the measurement unit is the whole meter is capable of being defined as the mutation trend, and can be more accurately measured as the mutation meter, and can be monitored as the mutation meter is required for 3 per second, and can be monitored, and can be more accurately based on the mutation meter and can be monitored as the mutation meter. The abnormal conditions such as abrupt change of indication of the dial parameters, exceeding the normal range and the like are intelligently detected to prompt or alarm, so that errors of manual operation are reduced, and the monitoring accuracy and intelligence of the continuous oil pipe equipment are improved.
Further, after the step of sequentially determining the meter values corresponding to the digital quantity information, the method includes:
step k, sequentially determining virtual instrument panel information of the instrument values, and displaying the instrument values based on the virtual instrument panel information; the virtual instrument panel information comprises a self-defined instrument display mode, a digital display size, an instrument display range and an instrument color.
In this embodiment, after all the meter values are determined, virtual meter panel information of the meter values is sequentially determined, and the meter values are displayed on each display screen based on the virtual meter panel information. The virtual instrument panel information is related information for displaying the numerical value, and the virtual instrument panel information corresponding to the equipment pressure value is determined by determining that the instrument numerical value is the equipment pressure value, for example, the virtual instrument panel information at least comprises an instrument display mode, a digital display size, an instrument display range and an instrument color, the virtual instrument panel information can be determined based on default selection, the virtual instrument panel information can also be selected by a user through a man-machine interaction page, and the information can also comprise information for displaying data on the display screen. For example, the display mode of each item of data on the display screen can be a mode of a virtual electronic instrument panel, or a digital display mode. The display screen provides the display position of each instrument standard, and the user can set according to own custom, and for example, the virtual electronic instrument panel of pressure value and the size of digital display are the area A, the range is M, the colour is blue etc. and the user can adjust according to actual need. And further the monitoring display functionality of the coiled tubing equipment can be improved.
Further, based on the first, second, third and/or fourth embodiments of the monitoring method of coiled tubing equipment according to the present invention, a fifth embodiment of the monitoring method of coiled tubing equipment according to the present invention is provided, and the monitoring method of coiled tubing equipment includes:
further, after the step of acquiring the collected monitoring data information, the method includes:
step A10, determining the weight of the main box body in the monitoring data information when the main box body is not operated, and identifying the type and the lever ratio of the injection head corresponding to the weight of the main box body;
and step A20, determining setting parameters based on the type of the injection head and the lever ratio, and setting parameters of the continuous oil pipe equipment based on the setting parameters.
In this embodiment, in order to avoid a situation that a user performs parameter setting on coiled tubing equipment, further, by determining the main body weight of the monitoring data information when the user is not working, identifying a corresponding injection head model and a corresponding lever ratio based on the main body weight, determining setting parameters through the injection head model and the lever ratio, and finally performing parameter setting on the coiled tubing equipment based on the setting parameters, so that normal operation of the coiled tubing equipment can be ensured, and further, performing a step after acquiring the acquired monitoring data information or determining the fault information of the coiled tubing according to the image data and the digital quantity information. For example, if the main body weight is m, it is determined that the main body weight m corresponds to the injection head model mx and the lever ratio mb corresponding to the main body weight m in the preset matching correspondence table, and the setting parameters cs corresponding to the injection head model mx and the lever ratio mb are determined, where the preset matching correspondence table is a correspondence table of the main body weight, the injection head model, the lever ratio and the setting parameters, so that the problem that the user forgets to set can be eliminated, and intelligence and operation safety of the coiled tubing equipment are ensured. The main box weight refers to the main box weight of the continuous oil pipe equipment when the continuous oil pipe equipment does not work, the type of the injection head refers to the type of the injection head of the continuous oil pipe equipment, the lever ratio refers to the weight ratio between the hinge point of the continuous oil pipe equipment and the sensor, and the setting parameters are corresponding setting parameters of the pointer to the type of the injection head and the lever ratio. The lever ratio and the injection head type of the finger weight system are intelligently identified, so that the problem that the user forgets to set the device is solved, and the normal operation of the continuous oil pipe equipment and the accuracy of the follow-up monitoring of the continuous oil pipe equipment can be ensured.
The invention also provides a monitoring device of the continuous oil pipe equipment, which comprises:
the data acquisition module A01 is used for acquiring the acquired monitoring data information; wherein the monitoring data information includes image data and sensor data;
and the data processing module A02 is used for determining the continuous oil pipe defect information according to the image data and the sensor data.
Optionally, the data processing module a02 is further configured to:
determining current image characteristics corresponding to the image data, and determining target image characteristics matched with the current image characteristics in a preset image characteristic table;
and determining oil pipe depth data in the sensor data, and determining coiled tubing defect information based on the target image features and the oil pipe depth data.
Optionally, the data processing module a02 is further configured to:
determining the position of the continuous oil pipe corresponding to the oil pipe depth data;
if the target image features are preset normal image features, the coiled tubing is normally used as coiled tubing defect information of the position of the coiled tubing;
if the target image features are not preset normal image features, determining defect types corresponding to the target image features, and taking the defect types as coiled tubing defect information of the coiled tubing positions; wherein the defect types include cracking, aging, and pitting.
Optionally, the data acquisition module a01 is further configured to:
determining all sensor data in the monitoring data information, sequentially determining the numerical values corresponding to the sensor data, and judging the working condition of equipment based on the numerical values;
and if the numerical value does not meet the equipment working requirement, generating working abnormality prompt information of the continuous oil pipe equipment.
Optionally, the data acquisition module a02 is further configured to:
determining a number indicating object corresponding to the numerical value, and determining a threshold range corresponding to the number indicating object in a preset threshold table;
determining the change trend of the numerical value, and determining the mutation change trend corresponding to the reading object in the threshold value table;
and if the numerical value is not in the threshold range or the change trend is matched with the abrupt change trend, determining that the numerical value does not meet the equipment working requirement.
The method executed by each program module may refer to each embodiment of the monitoring method of the coiled tubing unit according to the present invention, and will not be described herein.
The invention also provides monitoring equipment of the coiled tubing equipment.
The device of the invention comprises: the monitoring system comprises a memory, a processor and a monitoring program of the coiled tubing equipment, wherein the monitoring program of the coiled tubing equipment is stored in the memory and can run on the processor, and the monitoring program of the coiled tubing equipment is executed by the processor to realize the steps of the monitoring method of the coiled tubing equipment.
The related apparatus includes at least a computer storage medium and a computer program product;
the computer storage medium is a computer readable storage medium, and the storage medium of the invention stores a monitoring program of the coiled tubing equipment, and the monitoring program of the coiled tubing equipment realizes the steps of the monitoring method of the coiled tubing equipment when being executed by a processor.
The computer program product comprises a central processor and stores a monitoring program implementing coiled tubing equipment, which when executed by the processor implements the steps of the method of implementing coiled tubing equipment monitoring as described above.
The method implemented when the monitoring program of the coiled tubing unit running on the processor is executed may refer to various embodiments of the monitoring method of the coiled tubing unit of the present invention, which are not described herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. A monitoring system of coiled tubing equipment, characterized in that the monitoring system of coiled tubing equipment comprises a controller and a data collector, wherein the data collector comprises a sensor and a camera;
the controller is respectively connected with the sensor and the camera;
the camera is used for acquiring image data, the sensor is used for acquiring sensor data, and the controller is used for determining coiled tubing defect information according to the image data and the sensor data.
2. The coiled tubing unit monitoring system of claim 1, wherein the coiled tubing unit monitoring system further comprises:
the controller is connected with the alarm, and is also used for generating an alarm instruction according to the coiled tubing defect information and sending the alarm instruction to the alarm;
and/or the number of the groups of groups,
the controller is connected with the display, and is further used for generating a data display instruction according to the sensor data and sending the data display instruction to the display.
3. A method of monitoring a coiled tubing unit, characterized in that the method of monitoring a coiled tubing unit is applied to the system for monitoring a coiled tubing unit according to any of claims 1-2, the method of monitoring a coiled tubing unit comprising the steps of:
Acquiring collected monitoring data information; wherein the monitoring data information includes image data and sensor data;
and determining coiled tubing defect information according to the image data and the sensor data.
4. The method of monitoring coiled tubing equipment of claim 3, wherein the step of determining the coiled tubing defect information from the image data and the sensor data comprises:
determining current image characteristics corresponding to the image data, and determining target image characteristics matched with the current image characteristics in a preset image characteristic table;
and determining oil pipe depth data in the sensor data, and determining coiled tubing defect information based on the target image features and the oil pipe depth data.
5. The method of monitoring coiled tubing equipment of claim 4, wherein the step of determining coiled tubing defect information based on the target image features and the tubing depth data comprises:
determining the position of the continuous oil pipe corresponding to the oil pipe depth data;
if the target image features are preset normal image features, the coiled tubing is normally used as coiled tubing defect information of the position of the coiled tubing;
If the target image features are not preset normal image features, determining defect types corresponding to the target image features, and taking the defect types as coiled tubing defect information of the coiled tubing positions; wherein the defect types include cracking, aging, and pitting.
6. A method of monitoring coiled tubing equipment as claimed in claim 3, wherein after the step of obtaining the collected monitoring data information, the method further comprises:
determining all sensor data in the monitoring data information, sequentially determining the numerical values corresponding to the sensor data, and judging the working condition of equipment based on the numerical values;
and if the numerical value does not meet the equipment working requirement, generating working abnormality prompt information of the continuous oil pipe equipment.
7. The method for monitoring coiled tubing equipment according to claim 6, wherein the steps of sequentially determining the values corresponding to the sensor data and determining the equipment working condition based on the values comprise:
determining a number indicating object corresponding to the numerical value, and determining a threshold range corresponding to the number indicating object in a preset threshold table;
determining the change trend of the numerical value, and determining the mutation change trend corresponding to the reading object in the threshold value table;
And if the numerical value is not in the threshold range or the change trend is matched with the abrupt change trend, determining that the numerical value does not meet the equipment working requirement.
8. A monitoring device for coiled tubing equipment, the monitoring device comprising: a memory, a processor and a monitoring program of coiled tubing equipment stored on the memory and running on the processor, which when executed by the processor, implements the steps of the method of monitoring of coiled tubing equipment according to any of claims 3 to 7.
9. A computer storage medium, characterized in that the computer storage medium has stored thereon a monitoring program implementing a coiled tubing unit, the monitoring program implementing the coiled tubing unit being executed by a processor to implement the steps of the method of monitoring a coiled tubing unit according to any of claims 3 to 7.
10. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the method of monitoring a coiled tubing unit according to any of claims 3 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310825984.6A CN116840266A (en) | 2023-07-06 | 2023-07-06 | Monitoring system, method and equipment for coiled tubing equipment and related device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310825984.6A CN116840266A (en) | 2023-07-06 | 2023-07-06 | Monitoring system, method and equipment for coiled tubing equipment and related device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116840266A true CN116840266A (en) | 2023-10-03 |
Family
ID=88172253
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310825984.6A Pending CN116840266A (en) | 2023-07-06 | 2023-07-06 | Monitoring system, method and equipment for coiled tubing equipment and related device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116840266A (en) |
-
2023
- 2023-07-06 CN CN202310825984.6A patent/CN116840266A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7174228B2 (en) | Field device with display | |
| JPH10318905A (en) | Monitoring system of state of measuring device in clean room and monitoring method using the same | |
| CN103558955A (en) | Multi-object state monitor method and system based on multi-object multi-state monitor | |
| CN102060245A (en) | Moment limiter human-computer interface system | |
| CN201017232Y (en) | Industry process non-linearity failure diagnosis device based on fisher | |
| CN113894451A (en) | Control card based on laser equipment state detection and centralized control | |
| JP2011145978A (en) | Plant monitoring control system | |
| CN116840266A (en) | Monitoring system, method and equipment for coiled tubing equipment and related device | |
| JP2672576B2 (en) | Diagnosis support system for plants and equipment | |
| CN111077277B (en) | Water pollution online monitoring method and water pollution online monitoring system | |
| CN1987369B (en) | Multifunctional sensor testing device | |
| CN106594001A (en) | Visual maintaining system and method for hydraulic machine tool | |
| CN202050507U (en) | Video display testing system | |
| CN116678368A (en) | BIM technology-based intelligent acquisition method for assembled steel structure data | |
| US20140032158A1 (en) | Automated test system | |
| JP2012008649A (en) | State display device and state display method | |
| CN116277001A (en) | Continuous casting robot management method and system based on digital twin | |
| CN201035377Y (en) | Failure diagnosis device of melt index detecting in polymerization of propylene produce | |
| US6774806B1 (en) | Monitoring an element of a plant | |
| CN111914127A (en) | Online monitoring and diagnosing method for running state of secondary equipment of transformer substation | |
| JP2013140080A (en) | Instrument soundness determination device and method | |
| CN201605118U (en) | Man-machine interface system of torque limiter | |
| CN205210640U (en) | Condition monitoring device based on logical decision is synthesized to sound, light, electricity | |
| Venuprasad et al. | Automatic monitoring and controlling of pressure using PLC and SCADA | |
| TWI451068B (en) | Image-detection apparatus for numerical display meter and method thereof |
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 |