CN215219868U - Neural network terminal protection device for landslide detection and early warning - Google Patents
Neural network terminal protection device for landslide detection and early warning Download PDFInfo
- Publication number
- CN215219868U CN215219868U CN202120223118.6U CN202120223118U CN215219868U CN 215219868 U CN215219868 U CN 215219868U CN 202120223118 U CN202120223118 U CN 202120223118U CN 215219868 U CN215219868 U CN 215219868U
- Authority
- CN
- China
- Prior art keywords
- block
- landslide
- piece
- detection
- network terminal
- 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.)
- Expired - Fee Related
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 69
- 238000013528 artificial neural network Methods 0.000 title claims abstract description 28
- 230000001012 protector Effects 0.000 claims abstract description 11
- 230000006698 induction Effects 0.000 claims description 20
- 230000010354 integration Effects 0.000 claims 1
- 238000012544 monitoring process Methods 0.000 abstract description 12
- 238000004458 analytical method Methods 0.000 abstract description 9
- 230000002349 favourable effect Effects 0.000 abstract description 8
- 238000013480 data collection Methods 0.000 abstract description 5
- 230000004044 response Effects 0.000 abstract description 2
- 238000009434 installation Methods 0.000 description 15
- 230000008859 change Effects 0.000 description 9
- 230000002265 prevention Effects 0.000 description 6
- 238000012423 maintenance Methods 0.000 description 5
- 230000007246 mechanism Effects 0.000 description 5
- 238000011897 real-time detection Methods 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 239000002689 soil Substances 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000000746 body region Anatomy 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
Images
Landscapes
- Pit Excavations, Shoring, Fill Or Stabilisation Of Slopes (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
The utility model belongs to the technical field of neural network terminal protector, especially, be a neural network terminal protector for landslide detection early warning, including organism and warning light, the outside of organism is installed and is detected the piece, and the outer wall that detects the piece is fixed with the display screen, the outer wall right side reservation of display screen has the interface, and the bottom of interface installs landslide response piece, the warning light is fixed in the outside of detecting the piece, and the outer wall right side of warning light installs commentaries on classics piece, the top of commentaries on classics piece is connected with the angle and changes the piece, and the top of angle commentaries on classics piece installs the scanning piece, the outside of scanning piece is provided with dampproofing plate. This a neural network terminal protector for landslide detection early warning compares with current neural network terminal protector, is convenient for effectively prevent the landslide and takes place and make data rapid analysis conduct terminal network, is favorable to the data collection and the protection of network interrupt, is convenient for its safe whole data of monitoring effectively.
Description
Technical Field
The utility model relates to a neural network terminal protector technical field specifically is a neural network terminal protector for landslide detection early warning.
Background
Landslide is a serious geological disaster, the monitoring and forecasting of landslide is related to national property, life safety of people and stability of society, weather and ecological environment are increasingly deteriorated, landslide and other geological disasters occur frequently, so that loss caused by landslide is increased, the requirement of people on how to monitor and prevent landslide geological disasters is more and more urgent, landslide detection work has important practical significance, previous monitoring and precaution measures are mainly personnel non-timely inspection, so that manpower is consumed, and a detection device is sometimes used for certain blind landslide detection work, but the detection device is generally installed on a large landslide body, is complex in installation and maintenance and is difficult, the working environment requirement is high, and the landslide detection device convenient for early warning is needed to be used for protecting a neural network terminal.
Neural network terminal protector in the existing market is not convenient for effectively prevent the landslide and takes place and make the quick analysis of data conduct terminal network, the data collection and the protection of the difficult network interrupt, it is not convenient for its safe whole data of monitoring effectively, monitoring data result error is big simultaneously, but the network terminal of not being convenient for accurately calculates landslide change chart, it takes place to be not convenient for prevent the landslide, make the difficult normal operating of network terminal calculate, to above-mentioned condition, carry out technological innovation on current neural network terminal protector basis.
Aiming at the problems, innovative design is urgently needed on the basis of the original neural network terminal protection device.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a neural network terminal protector for landslide detects early warning to but provide general neural network terminal protector in solving above-mentioned background art and be not convenient for network terminal accurate calculation landslide change chart, the prevention landslide of not being convenient for takes place, makes the difficult normal operating problem of calculating of network terminal.
In order to achieve the above object, the utility model provides a following technical scheme: a neural network terminal protection device for landslide detection and early warning comprises a machine body and an alarm lamp, wherein a detection block is installed on the outer side of the machine body, a display screen is fixed on the outer wall of the detection block, a port is reserved on the right side of the outer wall of the display screen, a landslide induction block is installed at the bottom of the port, the alarm lamp is fixed on the outer side of the detection block, a rotating piece is installed on the right side of the outer wall of the alarm lamp, an angle rotating piece is connected above the rotating piece, a scanning block is installed at the top of the angle rotating piece, a damp-proof plate is arranged on the outer side of the scanning block, a first clamping groove is reserved on the outer wall of the damp-proof plate, a fixing rod is installed below the first clamping groove, a bearing is connected to the middle position of the fixing rod, a sliding rod is connected to the bottom of the bearing, an adjusting knob is installed on the outer wall of the sliding rod, a deep slope rod is installed below the adjusting knob, and a second clamping groove is reserved on the bottom of the deep slope rod, a clamping block is arranged below the second clamping groove, and a connecting piece is installed on the outer side of the clamping block.
Preferably, the landslide induction block is electrically connected with the interface through the detection block, and the detection block and the alarm lamp are integrally arranged.
Preferably, the scanning block forms an electrical connection with the display screen through the detection block, and the scanning block forms a rotation structure with the rotation member through the angle rotation block.
Preferably, the damp-proof plate forms a clamping structure with the detection block through the first clamping groove, and the detection block is connected with the fixed rod in a welding mode.
Preferably, the slide bar and the detection block form a rotating structure through a bearing, and the slide bar and the deep slope bar form a lifting structure through an adjusting knob.
Preferably, the deep slope rod and the clamping block form a clamping structure through the second clamping groove, and the clamping block and the landslide induction block are integrally arranged.
Preferably, the central axis of the second clamping groove coincides with the central axis of the clamping block, and the fixing rods are symmetrically arranged about the central axis of the second clamping groove.
Compared with the prior art, the beneficial effects of the utility model are as follows:
1. the utility model discloses an instrument for landslide detection carries out the installation back of multiunit through the interface and is connected with the transfer ware at neural network terminal with the position that needs the monitoring, thereby make network terminal can receive the data that this regional landslide detected simultaneously, real-time detection and prevention in advance make safeguard measure, can bury the detection deep slope pole of the bottom of this instrument underground perpendicularly, and landslide response piece has sensitive sensitivity, can fast sense and reach the connection display department that detects the piece with network terminal when the position change takes place to rob in mountain landslide, be convenient for effectively prevent that the landslide takes place and single data rapid analysis conducts terminal network, the data collection and the protection that are favorable to the network interrupt, be convenient for its safe overall data of monitoring effectively;
2. the utility model discloses an install the scanning piece that can all-round pivoted at this instrument top for landslide detection, be convenient for carry out infrared scanning monitoring to the mountain body environment of installation region, and go up to network terminal department with scanning content screening in real time, be favorable to terminal network's data arrangement and analysis, and gather the whole data simultaneously and draw the motion trend of mountain body region landslide, be favorable to early warning in advance, and regularly automatic analysis is convenient for the maintenance and the protection of network, the reputation early warning that can pass through the warning light in the detection threshold value scope simultaneously, more all-round detection and protection;
3. the utility model discloses a should detect the piece rotatable under the drive of bearing to this can alternate the installation orientation that detects the piece according to actual installation needs, so that reach its installation back completely with the perpendicular on ground dress state, make monitoring data result accurate relatively, the error is little, the network terminal of being convenient for can accurately calculate landslide change chart, is favorable to the prevention landslide to take place, makes network terminal normal operating calculate.
Drawings
Fig. 1 is a schematic view of the front cross-sectional structure of the present invention;
FIG. 2 is a schematic side view of the scanning block of the present invention;
FIG. 3 is a front view of the detecting block of the present invention;
FIG. 4 is a schematic view of the front view structure of the slide bar of the present invention;
fig. 5 is a schematic view of the bottom structure of the detection block of the present invention.
In the figure: 1. a body; 2. a detection block; 3. a display screen; 4. an interface; 5. a landslide sensing block; 6. an alarm light; 7. rotating the workpiece; 8. an angle turning block; 9. scanning the block; 10. a moisture-proof plate; 11. a first card slot; 12. Fixing the rod; 13. a bearing; 14. a slide bar; 15. adjusting a knob; 16. a deep slope pole; 17. a second card slot; 18. a clamping block; 19. a connecting member.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
Referring to fig. 1-5, the present invention provides a technical solution: a neural network terminal protection device for landslide detection and early warning comprises a machine body 1 and an alarm lamp 6, wherein a detection block 2 is installed on the outer side of the machine body 1, a display screen 3 is fixed on the outer wall of the detection block 2, a port 4 is reserved on the right side of the outer wall of the display screen 3, a landslide induction block 5 is installed at the bottom of the port 4, the alarm lamp 6 is fixed on the outer side of the detection block 2, a rotating piece 7 is installed on the right side of the outer wall of the alarm lamp 6, an angle rotating block 8 is connected above the rotating piece 7, a scanning block 9 is installed at the top of the angle rotating block 8, a damp-proof plate 10 is arranged on the outer side of the scanning block 9, a first clamping groove 11 is reserved on the outer wall of the damp-proof plate 10, a fixing rod 12 is installed below the first clamping groove 11, a bearing 13 is connected to the middle position of the fixing rod 12, a sliding rod 14 is connected to the bottom of the bearing 13, and an adjusting knob 15 is installed on the outer wall of the sliding rod 14, a deep slope rod 16 is installed below the adjusting knob 15, a second clamping groove 17 is reserved at the bottom of the deep slope rod 16, a clamping block 18 is arranged below the second clamping groove 17, and a connecting piece 19 is installed on the outer side of the clamping block 18.
Furthermore, the landslide induction block 5 is electrically connected with the interface 4 through the detection block 2, and the detection block 2 and the alarm lamp 6 are integrally arranged, so that the landslide induction block 5 has sensitive induction, when the landslide occurs robbing position change, the landslide can be quickly sensed and transmitted to the detection block 2 to be connected and displayed with a network terminal, the landslide can be effectively prevented from occurring, single data can be quickly analyzed and transmitted to a terminal network, the data collection and protection of network interruption can be facilitated, and the whole data can be safely and effectively monitored;
furthermore, the scanning block 9 is electrically connected with the display screen 3 through the detection block 2, and the scanning block 9 and the rotating piece 7 form a rotating structure through the angle rotating block 8, so that the arrangement is favorable for data arrangement and analysis of a terminal network, and meanwhile, the whole data is gathered to obtain the movement trend of landslide in a mountain area, the early warning is favorable, the network is maintained and protected conveniently through automatic analysis at regular time, and meanwhile, the acousto-optic early warning can be performed through the alarm lamp 6 within the range of a detection threshold value, and more omnibearing detection and protection are realized;
furthermore, the damp-proof board 10 and the detection block 2 form a clamping structure through the first clamping groove 11, and the detection block 2 is in welded connection with the fixed rod 12, so that the damp-proof board 10 can absorb moisture and damp, an internal operation mechanism can be effectively protected, the damp-proof board can be normally connected with a neural network, daily protection of a terminal of the damp-proof board can be normally operated, the damp-proof board 10 is in clamping connection, and the damp-proof board can be periodically detached and replaced, and the normal damp-proof protection of the damp-proof board can be conveniently used;
furthermore, the slide bar 14 and the detection block 2 form a rotating structure through the bearing 13, and the slide bar 14 and the deep slope bar 16 form a lifting structure through the adjusting knob 15, so that the detection block 2 can rotate under the driving of the bearing 13, the installation direction of the detection block 2 can be changed according to the actual installation requirement, and the completely vertical installation state of the detection block 2 with the ground after installation is achieved, the monitoring data result is relatively accurate, the error is small, a network terminal can accurately calculate a landslide change chart, the landslide is prevented, and the network terminal can normally operate and calculate;
furthermore, the deep slope rod 16 and the fixture block 18 form a clamping structure through the second clamping groove 17, the fixture block 18 and the landslide induction block 5 are integrally arranged, and the deep slope rod 16 and the landslide induction block 5 are connected through the fixture block 18 in a clamping mode, so that regular maintenance and repair are facilitated, meanwhile, the landslide induction block 5 is sensitive in induction, the landslide induction block can accurately sense the internal motion of the interior of mountain soil, data change can be uploaded in real time, and early protection and prevention are facilitated.
Further, the axis of second draw-in groove 17 coincides with the axis of fixture block 18 mutually, and dead lever 12 sets up about the axis symmetry of second draw-in groove 17, and such setting, through dead lever 12 with mountain ground's deep fixed, be favorable to on its surface that tightly stands on the mountain landslide perpendicularly, be difficult for rocking, be convenient for to landslide phenomenon induction detection and upload terminal and carry out the early warning protection.
The working principle is as follows: when the neural network terminal protection device for landslide detection and early warning is used, firstly, when the machine body 1 is used for landslide detection and network interruption protection, the instrument for landslide detection is installed at a position to be monitored and then is connected with a transfer device of the neural network terminal through the interface 4, so that the network terminal can simultaneously receive landslide detection data in the area, real-time detection and prevention in advance are carried out, protection measures are taken, a detection deep slope rod 16 at the bottom of the instrument can be vertically buried underground, a landslide induction block 5 has sensitive induction, when the landslide position changes, the landslide can be quickly sensed and transmitted to a detection block 2 to be connected and displayed with the network terminal, the landslide can be effectively prevented from occurring, single data can be quickly analyzed and transmitted to a terminal network, and data collection and protection of network interruption are facilitated, the instrument for landslide detection is provided with a scanning block 9 capable of rotating in all directions, so that infrared scanning monitoring can be performed on the mountain environment of an installation area conveniently, scanning contents are screened and uploaded to a network terminal in real time, data arrangement and analysis of a terminal network are facilitated, the whole data are gathered to obtain the movement trend of landslide of the mountain area, early warning is facilitated, timely automatic analysis is facilitated, network maintenance and protection are facilitated, acousto-optic early warning can be performed through an alarm lamp 6 within a detection threshold range, more all-around detection and protection are achieved, a plurality of parts and equipment electrically connected with a network are arranged in the instrument, sufficient water resistance is required to be achieved when the instrument is installed on a mountain, sufficient dryness needs to be maintained inside, and therefore a moisture-proof plate 10 is arranged for moisture absorption and moisture protection, the inner operation mechanism can be effectively protected, so that the inner operation mechanism can be normally connected with a neural network, the daily protection of the terminal can be normally operated, and the moisture-proof plate 10 is in clamping connection, so that the inner operation mechanism can be periodically detached and replaced, and the inner operation mechanism is convenient to use for normal moisture-proof protection;
then, the detection block 2 is driven by the bearing 13 to rotate, so that the installation direction of the detection block 2 can be changed according to actual installation requirements, the installation state of the detection block 2 is completely vertical to the ground after installation, the monitoring data result is relatively accurate, the error is small, a landslide change chart can be accurately calculated by a network terminal conveniently, landslide can be prevented, the network terminal can operate normally, and then the deep slope rod 16 and the landslide induction block 5 are connected in a clamping mode through the clamping block 18, so that periodic maintenance and repair are convenient, meanwhile, the landslide induction block 5 is sensitive, can accurately sense the internal motion of the mountain soil and upload data change in real time, and early protection and prevention are facilitated.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The utility model provides a neural network terminal protector for landslide detection early warning, includes organism (1) and warning light (6), its characterized in that: the outer side of the machine body (1) is provided with a detection block (2), the outer wall of the detection block (2) is fixed with a display screen (3), the outer wall right side of the display screen (3) is reserved with an interface (4), the bottom of the interface (4) is provided with a landslide induction block (5), an alarm lamp (6) is fixed on the outer side of the detection block (2), a rotating piece (7) is installed on the outer wall right side of the alarm lamp (6), the upper portion of the rotating piece (7) is connected with an angle rotating block (8), the top of the angle rotating block (8) is provided with a scanning block (9), the outer side of the scanning block (9) is provided with a damp-proof plate (10), a first clamping groove (11) is reserved on the outer wall of the damp-proof plate (10), a fixing rod (12) is installed below the first clamping groove (11), the middle position of the fixing rod (12) is connected with a bearing (13), the bottom of the bearing (13) is connected with a sliding rod (14), and adjusting knob (15) is installed to the outer wall of slide bar (14), dark slope pole (16) is installed to the below of adjusting knob (15), and the bottom of dark slope pole (16) reserves second draw-in groove (17), the below of second draw-in groove (17) is provided with fixture block (18), and connecting piece (19) are installed in the outside of fixture block (18).
2. The neural network terminal protection device for landslide detection and early warning of claim 1, wherein: landslide induction block (5) constitute electric connection through detecting piece (2) and interface (4), and detect and set up for the integration between piece (2) and warning light (6).
3. The neural network terminal protection device for landslide detection and early warning of claim 1, wherein: the scanning block (9) is electrically connected with the display screen (3) through the detection block (2), and the scanning block (9) forms a rotating structure with the rotating piece (7) through the angle rotating block (8).
4. The neural network terminal protection device for landslide detection and early warning of claim 1, wherein: dampproofing board (10) constitute the block structure through first draw-in groove (11) and detection piece (2), and detect for welded connection between piece (2) and dead lever (12).
5. The neural network terminal protection device for landslide detection and early warning of claim 1, wherein: the sliding rod (14) and the detection block (2) form a rotating structure through a bearing (13), and the sliding rod (14) and the deep slope rod (16) form a lifting structure through an adjusting knob (15).
6. The neural network terminal protection device for landslide detection and early warning of claim 1, wherein: the deep slope rod (16) and the clamping block (18) form a clamping structure through the second clamping groove (17), and the clamping block (18) and the landslide induction block (5) are integrally arranged.
7. The neural network terminal protection device for landslide detection and early warning of claim 1, wherein: the central axis of the second clamping groove (17) coincides with the central axis of the clamping block (18), and the fixing rods (12) are symmetrically arranged relative to the central axis of the second clamping groove (17).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120223118.6U CN215219868U (en) | 2021-01-27 | 2021-01-27 | Neural network terminal protection device for landslide detection and early warning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120223118.6U CN215219868U (en) | 2021-01-27 | 2021-01-27 | Neural network terminal protection device for landslide detection and early warning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN215219868U true CN215219868U (en) | 2021-12-17 |
Family
ID=79438706
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202120223118.6U Expired - Fee Related CN215219868U (en) | 2021-01-27 | 2021-01-27 | Neural network terminal protection device for landslide detection and early warning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN215219868U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114414769A (en) * | 2021-12-28 | 2022-04-29 | 赣南师范大学 | Device and method for predicting landslide based on geographic environment |
-
2021
- 2021-01-27 CN CN202120223118.6U patent/CN215219868U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114414769A (en) * | 2021-12-28 | 2022-04-29 | 赣南师范大学 | Device and method for predicting landslide based on geographic environment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN202001063U (en) | System for pre-warning water disaster of mine bottom plate | |
| CN215219868U (en) | Neural network terminal protection device for landslide detection and early warning | |
| CN113252735B (en) | Water quality layered monitoring system and method for underground water in polluted site | |
| CN111238407A (en) | Sensor system for measuring angle of contact net isolating switch knife | |
| CN214014385U (en) | Power distribution cabinet inspection system | |
| CN214703413U (en) | Water quality layered monitoring system for groundwater in polluted site | |
| CN114892585A (en) | Dam gate monitoring system and monitoring method thereof | |
| CN108319181A (en) | A kind of road information monitoring and display system in real time | |
| CN107202608A (en) | Electrical cable intelligent grounding box detecting system | |
| CN213147818U (en) | Hydraulic monitoring device for hydraulic engineering | |
| CN208736511U (en) | A kind of hydraulic engineering water level monitoring device | |
| CN206479521U (en) | A kind of portable streamflow monitoring device | |
| CN203444057U (en) | Power transmission line fault indictor | |
| CN206133045U (en) | Rain gage bucket is from detecting system | |
| CN114624532B (en) | Power grid detection equipment resistant to stray current corrosion | |
| CN207335824U (en) | A kind of reservoir level detects warning device | |
| CN215524773U (en) | Water level detection device for hydraulic engineering management | |
| CN205959031U (en) | Tower mast monitored control system | |
| CN108828186A (en) | A kind of slide prediction device with wide area monitoring function | |
| CN209375819U (en) | A kind of online data monitoring device based on industrial network | |
| CN210133831U (en) | Safety monitoring system for mast crane | |
| CN112614301A (en) | Intelligent smoke detector | |
| CN103808384B (en) | The alarm device of cable interlayer water inlet | |
| CN207704615U (en) | A kind of Geological Hazards Monitoring equipment having warning function | |
| CN206420568U (en) | A kind of online Color Detecting System of yarn based on color mark sensor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20211217 |