CN116480306A - Underground axial cutting method and system for cable transmission - Google Patents
Underground axial cutting method and system for cable transmission Download PDFInfo
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- 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
- E21B29/00—Cutting or destroying pipes, packers, plugs or wire lines, located in boreholes or wells, e.g. cutting of damaged pipes, of windows; Deforming of pipes in boreholes or wells; Reconditioning of well casings while in the ground
- E21B29/04—Cutting of wire lines or the like
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/49—Segmenting video sequences, i.e. computational techniques such as parsing or cutting the sequence, low-level clustering or determining units such as shots or scenes
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
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- H—ELECTRICITY
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- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
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Abstract
The invention discloses a cable transmission underground axial cutting method and a system, which relate to the technical field of data processing, and the method comprises the following steps: receiving a cutting signal sent by a cutting terminal, and starting video monitoring equipment in the intelligent cutting device based on the cutting signal to obtain a real-time monitoring video; analyzing the real-time monitoring video to determine a preset cutting position, and controlling the telescopic structure based on the preset cutting position until a cutting bit in the intelligent cutting device and the preset cutting position are in a preset position relation, wherein the telescopic structure is connected with the intelligent cutting device; generating a starting instruction after stopping controlling the telescopic structure, and starting a cutting tool bit in the intelligent cutting device to cut a preset cutting position according to the starting instruction. The invention solves the technical problems of low axial cutting precision and poor cutting quality of the cable transmission underground in the prior art, and achieves the technical effects of intelligently carrying out underground axial cutting and improving the cutting quality.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a cable transmission underground axial cutting method and system.
Background
The danger of underground cutting gradually increases along with the increase of the depth from the ground, and due to the limitation of underground environment, the cable transmission underground axial cutting is limited in operation, the cutting effect cannot meet the requirements, and meanwhile, the cutting time is too long and the cost is increased due to the lower intelligent degree of cutting control. The technical problems of low axial cutting precision and poor cutting quality of the cable transmission underground in the prior art are solved.
Disclosure of Invention
The application provides a cable transmission underground axial cutting method and system, which are used for solving the technical problems of low cable transmission underground axial cutting precision and poor cutting quality in the prior art.
In view of the above, the present application provides a method and a system for downhole axial cutting of cable transmission.
In a first aspect of the present application, a downhole axial cutting method for cable transmission is provided, wherein the method is applied to a cutting control platform end, and includes:
receiving a cutting signal sent by a cutting terminal, and starting video monitoring equipment in the intelligent cutting device based on the cutting signal to obtain a real-time monitoring video;
analyzing the real-time monitoring video to determine a preset cutting position, and controlling a telescopic structure based on the preset cutting position until a cutting bit in the intelligent cutting device and the preset cutting position form a preset position relation, wherein the telescopic structure is connected with the intelligent cutting device;
generating a starting instruction after stopping controlling the telescopic structure, and starting the cutting tool bit in the intelligent cutting device to cut the preset cutting position according to the starting instruction.
In a second aspect of the present application, there is provided a wireline transmission downhole axial cutting system, the system comprising:
the monitoring video acquisition module is used for receiving a cutting signal sent by the cutting terminal, starting video monitoring equipment in the intelligent cutting device based on the cutting signal and obtaining a real-time monitoring video;
the cutting position determining module is used for analyzing the real-time monitoring video to determine a preset cutting position, and controlling the telescopic structure based on the preset cutting position until a cutting tool bit in the intelligent cutting device and the preset cutting position are in a preset position relation, wherein the telescopic structure is connected with the intelligent cutting device;
the starting instruction generation module is used for generating a starting instruction after stopping controlling the telescopic structure, and starting the cutting tool bit in the intelligent cutting device to cut the preset cutting position according to the starting instruction.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
receiving a cutting signal sent by a cutting terminal, and starting video monitoring equipment in the intelligent cutting device based on the cutting signal to obtain a real-time monitoring video; analyzing the real-time monitoring video to determine a preset cutting position, and controlling the telescopic structure based on the preset cutting position until a cutting bit in the intelligent cutting device and the preset cutting position are in a preset position relation, wherein the telescopic structure is connected with the intelligent cutting device; generating a starting instruction after stopping controlling the telescopic structure, and starting a cutting tool bit in the intelligent cutting device to cut a preset cutting position according to the starting instruction. The technical effect of improving the cutting precision and the intelligent degree of underground axial cutting is achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for downhole axial cutting of cable transmission according to an embodiment of the present application;
fig. 2 is a schematic flow chart of determining a preset cutting position in a cable transmission downhole axial cutting method according to an embodiment of the present application;
fig. 3 is a schematic flow chart of a cutting scheme when a first comprehensive cutting index is reversely matched and used as a preset cutting scheme in the cable transmission downhole axial cutting method provided by the embodiment of the application;
fig. 4 is a schematic structural diagram of a cable transmission downhole axial cutting system according to an embodiment of the present application.
Reference numerals illustrate: the monitoring video obtaining module 11, the cutting position determining module 12 and the starting instruction generating module 13.
Detailed Description
The application provides a cable transmission underground axial cutting method and system, which are used for solving the technical problems of low cable transmission underground axial cutting precision and poor cutting quality in the prior art.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein.
It should be noted that the terms "comprises" and "comprising," along with any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
As shown in fig. 1, the present application provides a downhole axial cutting method for cable transmission, wherein the method is applied to a cutting control platform end, and includes:
step S100: receiving a cutting signal sent by a cutting terminal, and starting video monitoring equipment in the intelligent cutting device based on the cutting signal to obtain a real-time monitoring video;
in one possible real-time example, the cutting control platform end is a system that controls the process of axial cutting downhole in a cable transport. The cutting terminal is a device for transmitting or receiving data to the cutting control platform through a communication facility. And receiving a cutting signal sent by the cutting terminal at the cutting control platform end, determining the time for starting underground axial cutting, starting video monitoring equipment in the intelligent cutting device according to the cutting signal, and acquiring video obtained by the video monitoring equipment after the video monitoring equipment is started so as to obtain the real-time monitoring video.
Specifically, the intelligent cutting device is equipment for executing cable transmission underground axial cutting operation, and comprises parts such as an underground electric motor, a drilling tool, a tool bit, video monitoring equipment and the like. The video monitoring equipment is a device for carrying out real-time video detection on cutting operation of the intelligent cutting device, has the functions of video acquisition, data transmission, real-time display and the like, and comprises a camera, an infrared camera and the like. The real-time monitoring video reflects the real-time operation condition of the intelligent cutting device and provides a visual image for subsequent cutting.
Step S200: analyzing the real-time monitoring video to determine a preset cutting position, and controlling a telescopic structure based on the preset cutting position until a cutting bit in the intelligent cutting device and the preset cutting position form a preset position relation, wherein the telescopic structure is connected with the intelligent cutting device;
further, as shown in fig. 2, the analyzing the real-time monitoring video to determine the preset cutting position includes:
step S210: segmenting the real-time monitoring video based on a boundary detection technology to obtain a target video segment;
step S220: analyzing the target video segment to obtain a target key frame, wherein the target key frame comprises a first key frame and a second key frame;
step S230: taking the first key frame as an offset registration reference, and performing offset processing on the second key frame to obtain a target key frame image;
step S240: and carrying out texture feature analysis on the target key frame image, and determining the preset cutting position.
In one possible embodiment, the obtained real-time monitoring video is segmented by using a boundary detection technology, preferably, each frame in the real-time monitoring video is compressed to a uniform size, and then every 100 frames are taken as a segment, the probability of each frame being a boundary frame is obtained by inputting the frame into a neural network, and thus, frames which are greater than a preset probability threshold (which may be 50%) are taken as boundary frames, and the real-time monitoring video is segmented according to the boundary frames, so that the target video segment is obtained.
In one possible embodiment, the target video segment is subjected to keyframe extraction, preferably, the target keyframe is obtained by performing frame-by-frame pixel value calculation on the target video segment according to the extreme point in the obtained pixel value calculation result. The target key frame is a picture frame capable of reflecting important information of a target video segment, and comprises a first key frame and a second key frame. The first key frame is a picture frame for use as a reference. The second key frame is a picture frame that needs to be subjected to offset processing. And performing offset processing on the second key frame by taking the first key frame as an offset registration reference, so as to obtain the target key frame image according to the result of the offset processing.
Specifically, the texture feature analysis is performed on the target key frame image, preferably, the gray value is obtained by performing gray processing on the target key frame image, and the texture primitive and the corresponding arrangement rule are determined according to the gray value, so as to obtain the texture feature set. And extracting the texture feature set according to preset texture features to obtain target key frame image points corresponding to the preset texture features, and taking the target key frame image points as preset cutting positions. The preset cutting position is a specific position of the cutting tool bit to cut, and is more accurate than the cutting position of the preset cutting area.
Specifically, after the preset cutting position is determined, the preset cutting position is taken as a target position, and the telescopic structure is controlled by utilizing the cutting control platform end, so that a cutting tool bit in the intelligent cutting device and the preset cutting position are in a preset position relation. The preset position relationship is parallel, so that underground axial cutting is realized.
Further, before the starting the cutting bit in the intelligent cutting apparatus to cut the preset cutting position according to the starting instruction, step S200 in the embodiment of the present application further includes:
step S250: acquiring a cutting control index of the cutting tool bit, wherein the cutting control index comprises a cutting speed, a cutting pressure and a cutting angle;
step S260: sequentially analyzing and acquiring a preset cutting speed threshold value of the cutting speed, a preset cutting pressure threshold value of the cutting pressure and a preset cutting angle threshold value of the cutting angle;
step S270: sequentially extracting a first cutting speed in the preset cutting speed threshold, a first cutting pressure in the preset cutting pressure threshold and a first cutting angle in the preset cutting angle threshold;
step S280: obtaining a first cutting scheme based on the first cutting speed, the first cutting pressure and the first cutting angle, and taking the first cutting scheme as a preset cutting scheme;
the preset cutting scheme is a control scheme that the cutting tool bit in the intelligent cutting device cuts the preset cutting position.
In one possible embodiment, the cutting control index is an item that the cutting bit needs to control when performing a cutting operation, including a cutting speed, a cutting pressure, and a cutting angle. Wherein the cutting speed is the cutting amount of the cutting bit per unit time. The cutting pressure is the pressure to which the cutting bit is subjected during cutting. The cutting angle is the angle that the cutting bit presents with the cutting surface during the cutting process. And analyzing based on the model and the using power of the intelligent cutting device to obtain a preset cutting speed threshold, a preset cutting pressure threshold and a preset cutting angle threshold. The preset cutting speed threshold is a cutting speed range which can be born by the intelligent cutting device. The preset cutting pressure threshold is a cutting pressure range which the intelligent cutting device can bear. The preset cutting angle threshold is a cutting angle range which the intelligent cutting device can bear.
In a possible embodiment, the first cutting speed in the preset cutting speed threshold, the first cutting pressure in the preset cutting pressure threshold and the first cutting angle in the preset cutting angle threshold are sequentially extracted, that is, a value is randomly selected from the preset cutting speed threshold, the preset cutting pressure threshold and the preset cutting angle threshold respectively and used as the first cutting speed, the first cutting pressure and the first cutting angle. By taking as a first cutting scheme a cutting scheme that is capable of obtaining the first cutting speed, the first cutting pressure and the first cutting angle.
Further, as shown in fig. 3, the step S280 further includes:
step S281: analyzing the first cutting speed, the first cutting pressure and the first cutting angle by using a coefficient of variation method to respectively obtain a first coefficient, a second coefficient and a third coefficient;
step S282: weighting calculation is carried out on the basis of the first coefficient, the first cutting speed, the second coefficient, the first cutting pressure, the third coefficient and the first cutting angle, so that a first cutting index is obtained;
step S283: taking the first cutting index as a first comprehensive cutting index;
step S284: and reversely matching the cutting scheme when the first comprehensive cutting index is maximum, and taking the cutting scheme as the preset cutting scheme.
Further, after the first cutting index is set as the first integrated cutting index, step S280 in the embodiment of the present application further includes:
step S285: acquiring a first cutting record for cutting the preset cutting position based on the first cutting scheme, wherein the first cutting record comprises first cutting quality and first cutting speed;
step S286: weighting and calculating the first cutting quality and the first cutting speed to obtain a second cutting index;
step S287: the second cutting index in combination with the first cutting index results in the first composite cutting index for the first cutting protocol.
In one possible embodiment, the coefficient of variation method weights each of the evaluation indexes according to the degree of variation between the current value and the target value of each of the evaluation indexes. That is, according to the degree of difference between the first cutting speed, the first cutting pressure, and the first cutting angle and the current cutting speed, cutting pressure, and cutting angle of the intelligent cutting apparatus, the greater the degree of difference, the greater the weight given to the cutting control index is, thereby obtaining the first coefficient, the second coefficient, and the third coefficient. The first coefficient is a coefficient value of a cutting control index of the cutting speed when the cutting index is calculated, and reflects the importance degree of the cutting speed in the cutting index calculation. The second coefficient is a coefficient value of the cutting control index, namely the cutting pressure, when the cutting index is calculated, and reflects the importance degree of the cutting pressure in the cutting index calculation. The third coefficient is a coefficient value of the cutting control index of the cutting angle when the cutting index is calculated, and reflects the importance degree of the cutting angle in the cutting index calculation.
And performing weighted calculation according to the first coefficient and the first cutting speed, the second coefficient and the first cutting pressure, and the third coefficient and the first cutting angle, and taking the weighted calculation result as a first cutting index, so that the first cutting index is taken as a first comprehensive cutting index. The first comprehensive cutting index reflects the control condition of axial cutting after cutting according to a first cutting scheme.
In one possible embodiment, the first cutting record is obtained by cutting the preset cutting position according to the first cutting scheme. The first cutting record reflects the data change condition in the process of cutting according to a first cutting scheme, wherein the data change condition comprises first cutting quality and first cutting speed. Wherein the first cutting quality describes the quality of cable cutting, including pass, excellent, good, and fail. The first cutting speed is the amount of cable cut per unit time when cutting according to the first cutting scheme. And carrying out weighted calculation on the first cutting quality and the first cutting speed according to a preset weight ratio so as to obtain a second cutting index. Wherein, the preset weight ratio is set by the staff by himself, and is not limited herein. The second cutting index is obtained by cutting analysis of the first cutting scheme from the point of actual cutting feedback. The first comprehensive cutting index is obtained by summing the second cutting index and the first cutting index.
In one possible embodiment, after the first integrated cutting index is obtained, the cutting scheme at the maximum first integrated cutting index can be obtained by performing random adjustment on the cutting speed, the cutting pressure and the cutting angle within the range of the preset cutting speed threshold, the preset cutting pressure threshold and the preset cutting angle threshold, so as to be used as the preset cutting scheme.
Step S300: generating a starting instruction after stopping controlling the telescopic structure, and starting the cutting tool bit in the intelligent cutting device to cut the preset cutting position according to the starting instruction.
Further, the step S300 in this embodiment of the present application further includes:
step S310: acquiring real-time position information of the intelligent cutting device through a position sensor;
step S320: acquiring a preset cutting area, and judging whether the real-time position information is in the preset cutting area or not;
step S330: if the cutting signal is in the state, sending a cutting signal, and sending the cutting signal to the cutting control platform end.
In the real-time example of the application, when the cutting tool bit in the intelligent cutting device and the preset cutting position are in a preset position relation, control of the telescopic structure is stopped, at the moment, the position of the intelligent cutting device is indicated to be in accordance with the requirement, axial cutting can be performed, and then the starting instruction is generated. The starting instruction is an instruction for starting to cut at a preset cutting position by using the cutting tool bit when the intelligent cutting device is issued. And sending the starting instruction to a cutting control platform end, and controlling the intelligent cutting device by utilizing the cutting control platform end so as to axially cut the cable.
In one possible embodiment, by configuring a position sensor on the intelligent cutting apparatus, the position of the intelligent cutting apparatus can be determined by acquiring data information of the position sensor, and the real-time position information is obtained. The real-time position information reflects the position change condition of the intelligent cutting device in the underground, and comprises information such as underground depth, rotation angle and the like. The preset cutting area is an area range which is preset and needs to be cut, and is set by a worker according to a cutting task. And matching the preset cutting area according to the downhole depth information and the rotation angle information in the real-time position information, so as to obtain the determination of whether the position of the intelligent cutting device is in the preset cutting area. If so, indicating that the intelligent cutting apparatus has reached the preset cutting position. And when the real-time position information is judged to be in the preset cutting area, sending a cutting signal, and then sending the cutting signal to a cutting control platform end.
Further, after determining whether the real-time position information is in the preset cutting area, step S300 in the embodiment of the present application further includes:
step S340: if not, sending out a driving signal;
step S350: acquiring a target driving path;
step S360: and controlling the telescopic structure according to the target driving path based on the driving signal until the intelligent cutting device reaches the preset cutting area.
Further, the step S350 of the embodiment of the present application further includes:
step S351: acquiring basic information of a preset cable transmission well, wherein the basic information comprises transmission well shape data, transmission well size data and cable layout data;
step S352: constructing a three-dimensional model of the preset cable transmission well according to the transmission well shape data, the transmission well size data and the cable layout data, and performing grid segmentation on the three-dimensional model to obtain a three-dimensional model grid set;
step S353: labeling the three-dimensional model grid set based on the preset cutting area and the real-time position information to respectively obtain a target grid point and a real-time grid point;
step S354: generating the target driving path by taking the real-time grid point as an initial point and the target grid point as a target point;
the target driving path is a path for controlling the telescopic structure by the cutting control platform end according to the driving signal.
In one embodiment of the present application, a driving signal is sent when the real-time position information is not in the preset cutting area. The driving signal is used for transmitting the information carrier for controlling the telescopic structure, so that the intelligent cutting device reaches the preset cutting area. According to the driving information, the telescopic structure is controlled by combining the target driving path, meanwhile, according to real-time position information of the intelligent cutting device obtained by the position sensor, whether the intelligent cutting device reaches the preset cutting area is judged by combining the preset cutting area, and when the intelligent cutting device reaches the preset cutting area, a cutting signal is sent out.
In one possible embodiment, the preset cable transmission well is a preset transmission well for performing downhole axial cutting, and the data of the preset cable transmission well is collected, so that basic information is obtained. The basic information is data capable of reflecting the basic condition of a preset cable transmission well and distinguishing the preset cable transmission well from other cable transmission wells, and comprises transmission well shape data, transmission well size data, cable layout data and the like. The transmission well shape data are data for describing the appearance shape of a preset cable transmission well, and comprise a transmission well head shape, a transmission well bottom shape and the like. Illustratively, the wellhead shape of the transfer well may be hexagonal, circular, etc. The transmission well size data is data describing the size of a preset cable transmission well, and comprises the sizes of the depth of the transmission well, the diameter of the transmission well and the like. The cable layout data is information describing the cable arrangement condition in a preset cable transmission well and comprises information such as the number of cables, the types of the cables and the like.
In the embodiment of the application, according to the shape data of the transmission well, the size data of the transmission well and the cable layout data, three-dimensional design software such as 3DMax, maya and the like is utilized to build a three-dimensional model of the preset cable transmission well, grid segmentation is carried out according to the built three-dimensional model, and preferably, multi-region segmentation is selected in the process of grid segmentation, so that the obtained grid is prevented from being too mechanical and the actual situation of the preset cable transmission well cannot be reflected well.
In one possible embodiment, the three-dimensional model grid set is marked according to the preset cutting area and the real-time position information, and preferably, after the grids conforming to the preset cutting area are marked, one grid is randomly selected from the marked grids to serve as a target grid point. And marking the grid conforming to the real-time position information, and taking the marked grid where the center of the real-time position is located as the real-time grid point. The target drive path is obtained by taking the real-time grid point as an initial point and the target grid point as a target point. Preferably, the path of the control of the telescopic structure, that is, the target driving path, is determined according to the distance between the target grid point and the real-time grid point.
Specifically, after the target driving path is obtained, the telescopic structure is controlled according to the target driving path through the cutting control platform end based on the driving information, so that the telescopic structure moves according to the target driving path, and the intelligent cutting device reaches the preset cutting area.
In summary, the embodiments of the present application have at least the following technical effects:
according to the method, the underground intelligent cutting is controlled by utilizing the cutting control platform end, the aim of improving the accuracy of cutting control is achieved, then the video monitoring equipment is started according to the cutting signal, the cutting position is further determined based on the obtained real-time monitoring video, the accuracy of the cutting position is improved, the telescopic structure is controlled according to the preset cutting position, the intelligent cutting device is adjusted to a position with the preset cutting position in a preset position relation, after adjustment is completed, a starting instruction is obtained, and the cutting tool bit is started to cut the preset cutting position. The technical effects of improving the cutting accuracy and the intelligent degree are achieved.
Example two
Based on the same inventive concept as one of the cable transmission downhole axial cutting methods in the previous embodiments, as shown in fig. 4, the present application provides a cable transmission downhole axial cutting system, and the system and method embodiments in the embodiments of the present application are based on the same inventive concept. Wherein the system comprises:
the monitoring video acquisition module 11 is used for receiving a cutting signal sent by the cutting terminal, starting video monitoring equipment in the intelligent cutting device based on the cutting signal, and obtaining a real-time monitoring video;
the cutting position determining module 12 is configured to analyze the real-time monitoring video to determine a preset cutting position, and control a telescopic structure based on the preset cutting position until a cutting bit in the intelligent cutting device and the preset cutting position form a preset positional relationship, where the telescopic structure is connected with the intelligent cutting device;
the starting instruction generating module 13 is configured to generate a starting instruction after stopping controlling the telescopic structure, and start the cutting tool bit in the intelligent cutting device to cut the preset cutting position according to the starting instruction.
Further, the system further comprises:
the target video segment obtaining unit is used for segmenting the real-time monitoring video based on a boundary detection technology to obtain a target video segment;
the target key frame obtaining unit is used for analyzing the target video segment to obtain a target key frame, wherein the target key frame comprises a first key frame and a second key frame;
the target image obtaining unit is used for carrying out offset processing on the second key frame by taking the first key frame as an offset registration reference to obtain a target key frame image;
the preset cutting position determining unit is used for carrying out texture feature analysis on the target key frame image and determining the preset cutting position.
Further, the system further comprises:
the cutting control index obtaining unit is used for obtaining the cutting control index of the cutting tool bit, wherein the cutting control index comprises cutting speed, cutting pressure and cutting angle;
the preset threshold obtaining unit is used for sequentially analyzing and obtaining a preset cutting speed threshold of the cutting speed, a preset cutting pressure threshold of the cutting pressure and a preset cutting angle threshold of the cutting angle;
the cutting angle extraction unit is used for sequentially extracting a first cutting speed in the preset cutting speed threshold, a first cutting pressure in the preset cutting pressure threshold and a first cutting angle in the preset cutting angle threshold;
a preset cutting scheme obtaining unit for obtaining a first cutting scheme based on the first cutting speed, the first cutting pressure and the first cutting angle, and taking the first cutting scheme as a preset cutting scheme;
the preset cutting scheme is a control scheme that the cutting tool bit in the intelligent cutting device cuts the preset cutting position.
Further, the system further comprises:
the coefficient obtaining unit is used for analyzing the first cutting speed, the first cutting pressure and the first cutting angle by using a coefficient variation method to respectively obtain a first coefficient, a second coefficient and a third coefficient;
the first cutting index obtaining unit is used for carrying out weighted calculation on the basis of the first coefficient, the first cutting speed, the second coefficient, the first cutting pressure and the third coefficient and the first cutting angle to obtain a first cutting index;
the first comprehensive cutting index setting unit is used for taking the first cutting index as a first comprehensive cutting index;
and the preset cutting scheme setting unit is used for reversely matching the cutting scheme when the first comprehensive cutting index is maximum and taking the cutting scheme as the preset cutting scheme.
Further, the system further comprises:
a first cutting record obtaining unit for obtaining a first cutting record for cutting the preset cutting position based on the first cutting scheme, wherein the first cutting record comprises a first cutting quality and a first cutting speed;
the second cutting index obtaining unit is used for carrying out weighted calculation on the first cutting quality and the first cutting speed to obtain a second cutting index;
and the comprehensive cutting index obtaining unit is used for obtaining the first comprehensive cutting index of the first cutting scheme by combining the second cutting index with the first cutting index.
Further, the system further comprises:
the real-time position information acquisition unit is used for acquiring real-time position information of the intelligent cutting device through the position sensor;
the cutting area judging unit is used for acquiring a preset cutting area and judging whether the real-time position information is in the preset cutting area or not;
and the cutting signal sending unit is used for sending a cutting signal if the cutting signal is in the position, and sending the cutting signal to the cutting control platform end.
Further, the system further comprises:
the driving signal transmitting unit is used for transmitting a driving signal if the driving signal is not in the state;
a driving path obtaining unit for obtaining a target driving path;
and the telescopic structure control unit is used for controlling the telescopic structure according to the target driving path based on the driving signal until the intelligent cutting device reaches the preset cutting area.
Further, the system further comprises:
the system comprises a basic information obtaining unit, a control unit and a control unit, wherein the basic information obtaining unit is used for obtaining basic information of a preset cable transmission well, and the basic information comprises transmission well shape data, transmission well size data and cable layout data;
the grid set obtaining unit is used for constructing a three-dimensional model of the preset cable transmission well according to the transmission well shape data, the transmission well size data and the cable layout data, and carrying out grid segmentation on the three-dimensional model to obtain a three-dimensional model grid set;
the grid set labeling unit is used for labeling the three-dimensional model grid set based on the preset cutting area and the real-time position information to respectively obtain a target grid point and a real-time grid point;
a driving path setting unit configured to generate the target driving path with the real-time grid point as an initial point and the target grid point as a target point;
the target driving path is a path for controlling the telescopic structure by the cutting control platform end according to the driving signal.
It should be noted that the sequence of the embodiments of the present application is merely for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing description of the preferred embodiments of the present application is not intended to limit the invention to the particular embodiments of the present application, but to limit the scope of the invention to the particular embodiments of the present application.
The specification and drawings are merely exemplary of the application and are to be regarded as covering any and all modifications, variations, combinations, or equivalents that are within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (9)
1. The underground axial cutting method for the cable transmission is characterized by being applied to a cutting control platform end and comprising the following steps of:
receiving a cutting signal sent by a cutting terminal, and starting video monitoring equipment in the intelligent cutting device based on the cutting signal to obtain a real-time monitoring video;
analyzing the real-time monitoring video to determine a preset cutting position, and controlling a telescopic structure based on the preset cutting position until a cutting bit in the intelligent cutting device and the preset cutting position form a preset position relation, wherein the telescopic structure is connected with the intelligent cutting device;
generating a starting instruction after stopping controlling the telescopic structure, and starting the cutting tool bit in the intelligent cutting device to cut the preset cutting position according to the starting instruction.
2. The method of claim 1, wherein analyzing the real-time surveillance video to determine a preset cut location comprises:
segmenting the real-time monitoring video based on a boundary detection technology to obtain a target video segment;
analyzing the target video segment to obtain a target key frame, wherein the target key frame comprises a first key frame and a second key frame;
taking the first key frame as an offset registration reference, and performing offset processing on the second key frame to obtain a target key frame image;
and carrying out texture feature analysis on the target key frame image, and determining the preset cutting position.
3. The method of claim 1, further comprising, prior to said activating said cutting bit in said intelligent cutting apparatus to cut said predetermined cutting location in accordance with said activation instruction:
acquiring a cutting control index of the cutting tool bit, wherein the cutting control index comprises a cutting speed, a cutting pressure and a cutting angle;
sequentially analyzing and acquiring a preset cutting speed threshold value of the cutting speed, a preset cutting pressure threshold value of the cutting pressure and a preset cutting angle threshold value of the cutting angle;
sequentially extracting a first cutting speed in the preset cutting speed threshold, a first cutting pressure in the preset cutting pressure threshold and a first cutting angle in the preset cutting angle threshold;
obtaining a first cutting scheme based on the first cutting speed, the first cutting pressure and the first cutting angle, and taking the first cutting scheme as a preset cutting scheme;
the preset cutting scheme is a control scheme that the cutting tool bit in the intelligent cutting device cuts the preset cutting position.
4. A method according to claim 3, wherein said taking said first cutting protocol as a preset cutting protocol comprises:
analyzing the first cutting speed, the first cutting pressure and the first cutting angle by using a coefficient of variation method to respectively obtain a first coefficient, a second coefficient and a third coefficient; and is also provided with
Weighting calculation is carried out on the basis of the first coefficient, the first cutting speed, the second coefficient, the first cutting pressure, the third coefficient and the first cutting angle, so that a first cutting index is obtained;
taking the first cutting index as a first comprehensive cutting index; and is also provided with
And reversely matching the cutting scheme when the first comprehensive cutting index is maximum, and taking the cutting scheme as the preset cutting scheme.
5. The method of claim 4, further comprising, after said taking said first cutting index as a first composite cutting index:
acquiring a first cutting record for cutting the preset cutting position based on the first cutting scheme, wherein the first cutting record comprises first cutting quality and first cutting speed;
weighting and calculating the first cutting quality and the first cutting speed to obtain a second cutting index;
the second cutting index in combination with the first cutting index results in the first composite cutting index for the first cutting protocol.
6. The method of claim 1, applied to a cutting terminal, the receiving a cutting signal from the cutting terminal, comprising:
acquiring real-time position information of the intelligent cutting device through a position sensor;
acquiring a preset cutting area, and judging whether the real-time position information is in the preset cutting area or not;
if the cutting signal is in the state, sending a cutting signal, and sending the cutting signal to the cutting control platform end.
7. The method of claim 6, wherein said determining whether said real-time location information is after said predetermined cutting area further comprises:
if not, sending out a driving signal;
acquiring a target driving path; and is also provided with
And controlling the telescopic structure according to the target driving path based on the driving signal until the intelligent cutting device reaches the preset cutting area.
8. The method of claim 7, wherein the acquiring the target drive path comprises:
acquiring basic information of a preset cable transmission well, wherein the basic information comprises transmission well shape data, transmission well size data and cable layout data;
constructing a three-dimensional model of the preset cable transmission well according to the transmission well shape data, the transmission well size data and the cable layout data, and performing grid segmentation on the three-dimensional model to obtain a three-dimensional model grid set;
labeling the three-dimensional model grid set based on the preset cutting area and the real-time position information to respectively obtain a target grid point and a real-time grid point;
generating the target driving path by taking the real-time grid point as an initial point and the target grid point as a target point;
the target driving path is a path for controlling the telescopic structure by the cutting control platform end according to the driving signal.
9. A cable transmission downhole axial cutting system, the system comprising:
the monitoring video acquisition module is used for receiving a cutting signal sent by the cutting terminal, starting video monitoring equipment in the intelligent cutting device based on the cutting signal and obtaining a real-time monitoring video;
the cutting position determining module is used for analyzing the real-time monitoring video to determine a preset cutting position, and controlling the telescopic structure based on the preset cutting position until a cutting tool bit in the intelligent cutting device and the preset cutting position are in a preset position relation, wherein the telescopic structure is connected with the intelligent cutting device;
the starting instruction generation module is used for generating a starting instruction after stopping controlling the telescopic structure, and starting the cutting tool bit in the intelligent cutting device to cut the preset cutting position according to the starting instruction.
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