CN221002720U - Monitoring device based on RBF network time sequence prediction - Google Patents
Monitoring device based on RBF network time sequence prediction Download PDFInfo
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- CN221002720U CN221002720U CN202322532691.7U CN202322532691U CN221002720U CN 221002720 U CN221002720 U CN 221002720U CN 202322532691 U CN202322532691 U CN 202322532691U CN 221002720 U CN221002720 U CN 221002720U
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- 238000012806 monitoring device Methods 0.000 title claims abstract description 22
- 230000035939 shock Effects 0.000 claims abstract description 37
- 238000001514 detection method Methods 0.000 claims abstract description 33
- 230000005540 biological transmission Effects 0.000 claims abstract description 6
- 239000000463 material Substances 0.000 claims description 5
- 239000003733 fiber-reinforced composite Substances 0.000 claims description 3
- 238000013016 damping Methods 0.000 abstract description 32
- 239000003129 oil well Substances 0.000 description 5
- 239000013307 optical fiber Substances 0.000 description 5
- 238000002347 injection Methods 0.000 description 3
- 239000007924 injection Substances 0.000 description 3
- 230000006870 function Effects 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 210000002569 neuron Anatomy 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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Abstract
The utility model belongs to the technical field of intelligent wells, in particular to a monitoring device based on RBF network time sequence prediction, which comprises a weighting rod and a detection rod provided with a sensor, wherein a pressure transmission hole is formed in the surface of the side wall of the detection rod, one end of the detection rod is provided with a threaded joint, the threaded joint and the detection rod are integrally formed, the surface of the threaded joint is provided with a damping mechanism, and the damping mechanism comprises a damping pad. This monitoring devices based on RBF network time sequence prediction is connected to aggravate pole and measuring rod through setting up fixed joint and connecting rod in the damper to wrap up the fixed joint through interior shock pad and outer shock pad in the shock pad, when making the vibrations that aggravate the pole and receive to the measuring rod transmission, the shock pad absorbs vibrations, hinders vibrations to the measuring rod transmission, and the while shock pad still wraps up the protection to the connection of fixed joint and connecting rod, thereby makes damper have the characteristics of being convenient for carry out shock attenuation protection to monitoring devices.
Description
Technical Field
The utility model relates to the technical field of intelligent wells, in particular to a monitoring device based on RBF network time sequence prediction.
Background
The optical fiber temperature and pressure two-parameter permanent oil well sensor disclosed on the Chinese patent website (publication number: CN 101178006B) solves the technical problems that the traditional optical fiber sensor is large in size, low in precision and low in maximum working temperature, more and more control pipelines and instrument cables are required to be accommodated in a limited underground space from the current development trend of an oil field, so that the size requirement on the sensor is gradually harsh, in addition, as the depth of an oil well is gradually deepened, the working temperature is higher and higher, the number of the oil wells higher than 150 ℃ is gradually increased, and in summary, the optical fiber intelligent well sensor based on the optical fiber grating directly limits the application of the optical fiber sensor in an intelligent well system due to the influence of performance, but still has the following problems:
When the sensor is installed under an oil well, in order to facilitate the driving of the detection rod provided with the sensor to descend, a weighting rod with heavier mass is required to be installed at the lower end of the detection rod, and after the weighting rod is combined with the detection rod, the overall volume is increased, and in the well repairing or other maintenance work, operators may inadvertently collide tools or equipment with the weighting rod to cause the weighting rod to be impacted, and in the operation process of the oil well, accidental injection, such as fluid injection, rock debris injection and the like, may occur, the impact phenomenon may cause the weighting rod to be impacted, and the impact is easily transmitted to the detection rod and the sensor in the detection rod through the weighting rod, so that the sensor detects errors or even damage occurs, thereby being inconvenient to use.
Disclosure of utility model
Based on the technical problem that the existing monitoring device is inconvenient to shock absorption and protection of the sensor, the utility model provides a monitoring device based on RBF network time sequence prediction.
The utility model provides a monitoring device based on RBF network time sequence prediction, which comprises a weighting rod and a detection rod provided with a sensor, wherein a pressure transmission hole is formed in the side wall surface of the detection rod, one end of the detection rod is provided with a threaded joint, the threaded joint and the detection rod are integrally formed, the surface of the threaded joint is provided with a damping mechanism, the damping mechanism comprises a damping pad, the damping pad is made of fiber reinforced composite materials, the damping mechanism comprises an inner damping pad and an outer damping pad, the sensor is connected with external receiving equipment through an RBF network, so that various parameters in the well can be obtained more quickly and accurately, a nearest neighbor clustering algorithm is introduced, an initial clustering center radius is adopted to replace the width of a Gaussian function, when N neuron RBF networks are arranged on an input layer, x groups of training samples are needed, so that the latest historical data bits are N+x, after network learning, the latest N data before the current moment are adopted as network input, and the measured value at the current moment can be estimated.
Preferably, the inner shock pad is cylindrical, an installation groove is formed in one end surface of the threaded joint, the inner wall of the installation groove is fixedly connected with the outer side wall surface of the inner shock pad, a slot is formed in the end surface of the inner shock pad, and a fixing joint is inserted into the inner wall of the slot in a sliding mode.
Through above-mentioned technical scheme, only the front end has offered a small amount of screw threads with screwed joint's surface to be convenient for avoid screwed joint to be connected too tightly with aggravate between the pole, reduce screwed joint simultaneously and aggravate the effect that pole and detection pole are connected.
Preferably, one end fixedly connected with of fixed joint connects the stub rope, one end fixedly connected with thrust spring of fixed joint, connect the stub rope and be located thrust spring's inboard, the end of connecting the stub rope and the inner wall fixed connection of mounting groove.
Through above-mentioned technical scheme, utilize the short rope of connection to connect fixed joint to be convenient for absorb fixed joint's vibrations through the deformation of connecting the short rope, the material of connecting the short rope is wire rope.
Preferably, the inner wall of the fixed joint is provided with a thread groove, the inner wall of the fixed joint is connected with a connecting rod through the thread groove in a threaded manner, one end of the weighting rod is provided with a thread sleeve, and the thread sleeve and the weighting rod are integrally formed.
Through above-mentioned technical scheme, utilize fixed joint and connecting rod to carry out the connection between aggravating pole and the measuring rod from screwed joint's inside to be convenient for wrap up the protection to fixed joint and connecting rod.
Preferably, one end of the connecting rod is fixedly connected with the inner wall of the threaded sleeve, and one end of the weighting rod is in threaded connection with the surface of the threaded joint through the threaded sleeve.
Through above-mentioned technical scheme, utilize screw sleeve and screwed joint preliminary connection to be convenient for carry out weighting pole and measuring pole.
Preferably, the inner wall of one end of the threaded sleeve is fixedly connected with an outer shock pad, the outer shock pad is cylindrical, and the inner wall of the outer shock pad is sleeved with the outer surface of the threaded joint.
Through above-mentioned technical scheme, utilize the shock pad to absorb the vibrations between screw sleeve and screwed joint, be convenient for block up the protection to the gap between screw sleeve and screwed joint.
The beneficial effects of the utility model are as follows:
The fixed joint and the connecting rod in the damping mechanism are arranged to connect the weighting rod with the detection rod, and the inner damping pad and the outer damping pad in the damping pad are used for wrapping the fixed joint, so that the damping pad absorbs vibration when the vibration received by the weighting rod is transmitted to the detection rod, the vibration is prevented from being transmitted to the detection rod, and meanwhile, the damping pad also wraps and protects the fixed joint and the connection rod, so that the damping mechanism has the characteristic of being convenient for damping and protecting the monitoring device.
Drawings
FIG. 1 is a schematic diagram of a monitoring device based on RBF network timing prediction according to the present utility model;
FIG. 2 is a cross-sectional view of a threaded joint structure of a monitoring device based on RBF network time sequence prediction;
FIG. 3 is a cross-sectional view of an inner cushion structure of a monitoring device based on RBF network timing prediction according to the present utility model;
Fig. 4 is a cross-sectional view of a threaded sleeve structure of a monitoring device based on RBF network timing prediction according to the present utility model.
In the figure: 1. a weight bar; 2. a detection rod; 3. a pressure transmitting hole; 4. a threaded joint; 5. an inner shock pad; 51. an outer shock pad; 52. fixing the joint; 53. connecting a short rope; 54. a thrust spring; 55. a connecting rod; 6. a threaded sleeve.
Detailed Description
The following description of the embodiments of the present utility model will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present utility model, but not all embodiments.
Referring to fig. 1-4, a monitoring device based on RBF network time sequence prediction comprises a weighting rod 1 and a detection rod 2 provided with a sensor, wherein a pressure transmitting hole 3 is formed in the surface of the side wall of the detection rod 2, a threaded joint 4 is arranged at one end of the detection rod 2, the threaded joint 4 and the detection rod 2 are integrally formed, a damping mechanism is arranged on the surface of the threaded joint 4 and comprises a damping pad, the damping pad is made of fiber reinforced composite materials, the damping mechanism comprises an inner damping pad 5 and an outer damping pad 51, the sensor is connected with external receiving equipment through the RBF network, so that various parameters in the well can be obtained more quickly and accurately, a nearest neighbor clustering algorithm is introduced, an initial clustering center radius is adopted to replace a gaussian function width method, when an input layer is provided with N neuron RBF networks, training samples need x groups, so that the latest historical data bits are n+x, after network learning, the latest N data before the current moment are adopted as network input, and the measured value at the current moment can be estimated.
In order to prevent the transmission of vibrations, set up interior shock pad 5 and be cylindric, the mounting groove has been seted up on the one end surface of screwed joint 4, the inner wall of mounting groove and the lateral wall fixed connection of interior shock pad 5, the slot has been seted up to the terminal surface of interior shock pad 5, the inner wall slip grafting of slot has fixed joint 52, only the front end has seted up a small amount of screw threads on the surface that utilizes screwed joint 4, thereby be convenient for avoid screwed joint 4 to aggravate the pole 1 and be connected too tightly, reduce screwed joint 4 and be connected between weighting pole 1 and measuring rod 2 simultaneously, the one end fixedly connected with of fixed joint 52 connects short rope 53, the one end fixedly connected with thrust spring 54 of fixed joint 52, connect short rope 53 and be located thrust spring 54's inboard, the terminal of connecting short rope 53 and the inner wall fixed connection of mounting groove, utilize the short rope 53 of connection to connect fixed joint 52, thereby be convenient for absorb the vibrations of fixed joint 52 through the deformation of connecting short rope 53, the material of connecting short rope 53 is the wire rope.
In order to be connected with the weighting rod 1 and the detection rod 2, the inner wall of the fixed joint 52 is provided with a thread groove, the inner wall of the fixed joint 52 is provided with a connecting rod 55 through the thread groove in a threaded manner, one end of the weighting rod 1 is provided with a thread sleeve 6, the thread sleeve 6 is integrally formed with the weighting rod 1, the fixed joint 52 and the connecting rod 55 are utilized to connect the weighting rod 1 with the detection rod 2 from the inside of the thread joint 4, so that the fixed joint 52 and the connecting rod 55 are conveniently wrapped and protected, one end of the connecting rod 55 is fixedly connected with the inner wall of the thread sleeve 6, one end of the weighting rod 1 is in threaded connection with the surface of the thread joint 4 through the thread sleeve 6, and the thread sleeve 6 is preliminarily connected with the thread joint 4, so that the weighting rod 1 and the detection rod 2 are conveniently carried out.
The fixed joint 52 and the connecting rod 55 in the damping mechanism are arranged to connect the weighting rod 1 with the detection rod 2, and the inner damping pad 5 and the outer damping pad 51 in the damping pad are used for wrapping the fixed joint 52, so that the damping pad absorbs vibration when the vibration received by the weighting rod 1 is transmitted to the detection rod 2, the vibration is prevented from being transmitted to the detection rod 2, and meanwhile, the damping pad also wraps and protects the connection of the fixed joint 52 and the connecting rod 55, so that the damping mechanism has the characteristic of being convenient for damping and protecting a monitoring device.
And set up the one end inner wall and the outer shock pad 51 fixed connection of screw sleeve 6, outer shock pad 51 is cylindric, and the inner wall of outer shock pad 51 cup joints with the surface of screwed joint 4, utilizes the shock pad to absorb the vibrations between screw sleeve 6 and screwed joint 4, is convenient for block up the protection to the gap between screw sleeve 6 and screwed joint 4.
Working principle:
When in use, the connecting rod 55 is aligned with the thread groove on the surface of the fixed joint 52, the connecting rod 55 is screwed into the fixed joint 52, and the threaded joint 4 is screwed into the threaded sleeve 6;
when the surface of the weight bar 1 is subjected to impact and vibration, the vibration is transmitted to the screw joint 4 through the screw sleeve 6 and the connecting rod 55, and part of the vibration is absorbed by the inner shock pad 5 and the outer shock pad 51 while the fixed joint 52 is made to vibrate in the inner shock pad 5 and the vibration is transmitted to the inner shock pad 5, so that only a small amount of vibration is transmitted to the detection bar 2.
The foregoing is only a preferred embodiment of the present utility model, but the scope of the present utility model is not limited thereto, and any person skilled in the art, who is within the scope of the present utility model, should make equivalent substitutions or modifications according to the technical scheme of the present utility model and the inventive concept thereof, and should be covered by the scope of the present utility model.
Claims (6)
1. Monitoring devices based on RBF network time sequence prediction, including aggravate pole (1) and install measuring rod (2) of sensor, pressure transmission hole (3), its characterized in that have been seted up on the lateral wall surface of measuring rod (2): the utility model discloses a detection pole, including detection pole (2), screwed joint (4) are installed to the one end of detection pole (2), screwed joint (4) and detection pole (2) integrated into one piece, the surface mounting of screwed joint (4) has damper, damper includes the shock pad, the material of shock pad is fiber reinforced composite, damper includes interior shock pad (5) and outer shock pad (51).
2. The RBF network timing prediction based monitoring device of claim 1, wherein: the inner shock pad (5) is cylindrical, a mounting groove is formed in one end surface of the threaded joint (4), the inner wall of the mounting groove is fixedly connected with the outer side wall surface of the inner shock pad (5), a slot is formed in the end surface of the inner shock pad (5), and a fixing joint (52) is connected to the inner wall of the slot in a sliding mode.
3. The RBF network timing prediction based monitoring device of claim 2, wherein: one end fixedly connected with of fixed joint (52) connects stub rope (53), one end fixedly connected with thrust spring (54) of fixed joint (52), connect stub rope (53) to be located thrust spring (54) inboard, the terminal and the inner wall fixed connection of mounting groove of stub rope (53).
4. A monitoring device based on RBF network timing prediction as recited in claim 3, wherein: the inner wall of the fixed joint (52) is provided with a thread groove, the inner wall of the fixed joint (52) is connected with a connecting rod (55) through the thread groove in a threaded mode, one end of the weighting rod (1) is provided with a thread sleeve (6), and the thread sleeve (6) and the weighting rod (1) are integrally formed.
5. The RBF network timing prediction based monitoring device of claim 4, wherein: one end of the connecting rod (55) is fixedly connected with the inner wall of the threaded sleeve (6), and one end of the weighting rod (1) is in threaded connection with the surface of the threaded joint (4) through the threaded sleeve (6).
6. The RBF network timing prediction based monitoring device of claim 4, wherein: the inner wall of one end of the threaded sleeve (6) is fixedly connected with an outer shock pad (51), the outer shock pad (51) is cylindrical, and the inner wall of the outer shock pad (51) is sleeved with the outer surface of the threaded joint (4).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202322532691.7U CN221002720U (en) | 2023-09-18 | 2023-09-18 | Monitoring device based on RBF network time sequence prediction |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202322532691.7U CN221002720U (en) | 2023-09-18 | 2023-09-18 | Monitoring device based on RBF network time sequence prediction |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN221002720U true CN221002720U (en) | 2024-05-24 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202322532691.7U Active CN221002720U (en) | 2023-09-18 | 2023-09-18 | Monitoring device based on RBF network time sequence prediction |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN221002720U (en) |
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2023
- 2023-09-18 CN CN202322532691.7U patent/CN221002720U/en active Active
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