Sea ice state monitoring device based on deep learning
By designing a deep learning-based sea ice state monitoring device, using motors, threaded rods and steel nails to fix sea ice, combined with deep learning models and sensors for real-time data acquisition, the real-time and safety issues of sea ice monitoring in the existing technology are solved. , realizes accurate monitoring of sea ice status.
Patent Information
- Application Number
- CN202421489762.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-27
- Publication Date
- 2025-01-03
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing sea ice monitoring methods cannot monitor the thickness, temperature and other state parameters of sea ice in real time and automatically, and rely on manual monitoring to have defects in safety hazards and subjective judgment.
A deep learning-based sea ice state monitoring device is designed, including bottom fixing components, control processing components and status monitoring components, which use motors, threaded rods and steel nails to fix sea ice, combined with GPU, deep learning models, and sensors. Real-time data acquisition and analysis with GPS antennas to achieve accurate monitoring of sea ice status.
Real-time, autonomous, intelligent and precise monitoring of sea ice state is realized, the safety and efficiency of monitoring are improved, and the subjectivity and safety risks of manual monitoring are avoided.
Smart Images
Figure CN222298873U_ABST
Abstract
Description
Technical Field
[0001] The utility model relates to a monitoring device, in particular to a sea ice status monitoring device based on deep learning. Background Art
[0002] Sea ice, in a broad sense, refers to all ice that appears on the sea, including saltwater ice formed by freezing seawater and freshwater ice from land. Sea ice disasters refer to the blockage of waterways, damage to ships, and damage to offshore facilities and coastal projects caused by sea ice. Sea ice can cause harm to marine transportation, aquaculture, offshore oil and gas production, offshore structures and other maritime activities in the Bohai Sea. In heavy ice years, severe ice conditions can cause huge economic losses. Assessing the shipping risks of sea ice disasters in the Bohai Sea will help to scientifically plan winter shipping in the Bohai Sea and ensure the safety of marine transportation.
[0003] Manual monitoring is still one of the main technical means of sea ice monitoring. The results of manual monitoring often rely on people's subjective judgment, which greatly reduces the monitoring effect and easily poses a threat to the safety of monitors. Moreover, the currently commonly used sea ice measurement methods cannot monitor the thickness, temperature and other status parameters of sea ice in real time and automatically. Utility Model Content
[0004] In view of this, the utility model provides a sea ice status monitoring device based on deep learning. The purpose is to provide a sea ice status monitoring device based on deep learning that is easy to move, more intelligent, and more accurate.
[0005] In order to achieve the above purpose, the utility model adopts the following technical solutions:
[0006] A sea ice status monitoring device based on deep learning comprises a bottom fixing component, a control processing component arranged at the top of the bottom fixing component, a lifting support component arranged above the bottom fixing component, and a status monitoring component arranged on the lifting support component; the bottom fixing component comprises a bottom fixing box, a motor is arranged on the vertical center line of the bottom fixing box, a rotating shaft is fixedly arranged at the bottom of the motor, a first bevel gear is fixedly arranged on the periphery of the lower part of the rotating shaft, a plurality of second bevel gears are meshed and connected in an annular array at the periphery of the first bevel gear, a threaded rod is correspondingly connected to the center positions of the plurality of second bevel gears, the threaded rod extends out of the box body in a downwardly inclined manner, a steel nail is correspondingly arranged at the bottom of the threaded rod, and a limited position top plate is correspondingly arranged at the top of the threaded rod; the control processing component comprises a control processing box arranged on the top inner wall of the bottom fixing box, a GPU, a controller, a data receiver and a network receiver arranged in the control processing box, and a corresponding The control processing box is provided with a display and buttons on the front side of the bottom fixed box; the lifting support assembly includes a plurality of electric lifting rods vertically and evenly distributed above the bottom fixed box, and the tops of the plurality of electric lifting rods are commonly connected to a first horizontally arranged support plate, a first grid is arranged above the first support plate, a second support plate is horizontally arranged above the first grid, a second grid is arranged above the second support plate, a third support plate is horizontally arranged above the second grid, a third grid is arranged above the third support plate, and a fourth support plate is horizontally arranged above the third grid; the state monitoring assembly includes an ice sensor, a temperature, humidity and air pressure sensor and a fiber grating strain sensor arranged on the first support plate from left to right, an ultrasonic wind speed and direction sensor arranged on the second support plate, a ball camera arranged at the bottom of the fourth support plate, a communication bracket arranged above the fourth support plate, and a GPS antenna and an iridium antenna adjacent to the communication bracket.
[0007] Preferably, a plurality of threaded holes are provided on the bottom inner wall of the bottom fixing box body corresponding to the plurality of threaded rods.
[0008] Preferably, a limit fixing cylinder is arranged below the motor and corresponds to the periphery of the upper middle part of the rotating shaft, an upper limit plate is arranged on the periphery of the upper part of the limit fixing cylinder, and a lower limit plate is arranged on the periphery of the bottom of the limit fixing cylinder.
[0009] Preferably, a plurality of omnidirectional wheels are evenly arranged below the bottom fixed box.
[0010] Preferably, the motor, the GPU, the data receiver, the network receiver, the display, the button, the electric lifting rod, the ice sensor, the temperature, humidity and air pressure sensor, the fiber grating strain sensor, the ultrasonic wind speed and direction sensor, the ball camera, the GPS antenna and the iridium antenna are electrically connected to the controller respectively.
[0011] Preferably, a solar panel is rotatably provided on one side of the top of the third grid, and the solar panel is electrically connected to the controller.
[0012] The beneficial effects of the utility model are:
[0013] 1. The utility model comprises a bottom fixing component, a control processing component arranged at the top of the bottom fixing component, a lifting support component arranged above the bottom fixing component, and a state monitoring component arranged on the lifting support component. Under the fixed support action of the bottom fixing component and the lifting support component, the state monitoring component can monitor the state of sea ice in real time through the control of the state monitoring component by the control processing component. Compared with the previous manual monitoring method, this sea ice state monitoring device is more autonomous, more intelligent, more safe and more accurate; the bottom fixing component comprises a bottom fixing box body, a motor is arranged on the vertical center line of the bottom fixing box body, a rotating shaft is fixedly arranged at the bottom of the motor, a first bevel gear is fixedly arranged on the periphery of the lower part of the rotating shaft, a plurality of second bevel gears are meshed and connected with the periphery of the first bevel gear in a ring array, and a thread is connected to the center position of each of the plurality of second bevel gears in a corresponding thread The threaded rod is inclined downward and extends outside the box body. A steel nail is correspondingly arranged at the bottom of the threaded rod. A plurality of steel spikes are evenly distributed on the outside of the steel nail. A limited top plate is correspondingly arranged at the top of the threaded rod. This setting drives the rotating shaft and the first bevel gear on the rotating shaft to rotate by controlling the forward rotation of the motor, thereby synchronously driving the plurality of second bevel gears meshing with the first bevel gear to rotate. The synchronous rotation of the plurality of second bevel gears can drive the threaded rods connected with the corresponding threads to gradually move downward along the threaded rotation of the threaded hole, and then the steel nails corresponding to the bottom of the threaded rods can gradually penetrate into the sea ice layer (when the steel nails and the threaded rods are received in the bottom fixed box body, it is only necessary to control the motor to reverse, and the whole process is the opposite). In general, this setting is easy to adjust, and the steel nails can be quickly moved out or received in the bottom fixed box body with the adjustment of the threaded rods, which is conducive to the rapid formation of fixation between the device and the sea ice layer, so as to lay a supporting foundation for the subsequent continuous monitoring work.The control processing component includes a control processing box arranged on the top inner wall of the bottom fixed box, a GPU, a controller, a data receiver and a network receiver arranged in the control processing box, and a display and buttons arranged on the front side of the bottom fixed box corresponding to the control processing box. The GPU can be a PNY RTX A6000 model, the controller can be a small controller PNOZmulti 2 model controller, this controller can be applicable to common communication networks and can also connect, control and monitor multiple components at the same time, and the data receiver can be a UM2002B model Su-1 produced by Broadchip Microelectronics. GHz radio frequency receiver, the network receiver can adopt the CF-BE200MAX model network receiver produced by COMFRST, the display can adopt the TM-B01 model capacitive touch screen produced by Guangzhou Bangzhuo Electronics Co., Ltd., and the control processing component is also provided with a deep learning model. The deep learning model is a model for data analysis of the information monitored by each component. Its method for analyzing information data is a prior art and will not be described in detail here. This setting can enable the data receiver and the network receiver to operate under the control of the controller and receive the data monitored by multiple monitoring components in real time through wireless or wired methods, and then transmit the received data to the GPU, controller or deep learning model for processing, wherein the GPU can process the graphic information collected by the ball camera, and the specific parameters and images obtained after processing can be displayed on the display. In general, this setting can quickly receive and process various types of data obtained by monitoring, ensuring the monitoring of sea ice status. The continuity of measurement is more autonomous and intelligent, and the deep learning technology is combined to make the sea ice status monitoring more accurate; the lifting support assembly includes a plurality of electric lifting rods vertically and evenly distributed above the bottom fixed box, and the tops of the plurality of electric lifting rods are commonly connected to a first horizontally arranged support plate, a first grid is arranged above the first support plate, a second support plate is horizontally arranged above the first grid, a second grid is arranged above the second support plate, a third support plate is horizontally arranged above the second grid, a third support plate is arranged above the third support plate, and a fourth support plate is horizontally arranged above the third grid. This setting can control the synchronous lifting of the plurality of electric lifting rods through the controller so that the entire lifting support assembly is synchronously lifted to meet the needs of different monitoring heights, and a four-layer grid structure is formed by sequentially arranging the first support plate, the first grid, the second support plate, the second grid, the third support plate, the third grid, and the fourth support plate, which can provide the most suitable placement position for different monitoring components, so that the monitoring data is more accurate;The condition monitoring components include an ice sensor, a temperature, humidity and air pressure sensor and a fiber grating strain sensor which are arranged on the first support plate from left to right, an ultrasonic wind speed and direction sensor which is arranged on the second support plate, a ball camera which is arranged at the bottom of the fourth support plate, a communication bracket which is arranged above the fourth support plate, and a GPS antenna and an iridium antenna which are arranged adjacent to the communication bracket. The ice sensor can adopt the WYJ-TS1 precision crystal quartz measuring instrument produced by Huafan Sensing Technology, the temperature, humidity and air pressure sensor can adopt the DF-WSY atmospheric temperature, humidity and pressure three-in-one sensor produced by Dongfang Xinhong (Beijing) Technology Co., Ltd., and the fiber grating strain sensor can adopt the JFS produced by Shenzhen Jiance Intelligent Technology Co., Ltd. The S-04 low-temperature sensitive fiber Bragg grating strain sensor and the ultrasonic wind speed and direction sensor can use the RS-CFSFX-*-3H small ultrasonic wind speed and direction transmitter produced by Jianda Renke. This setting can monitor various state parameters of sea ice in real time through ice sensors, temperature, humidity and pressure sensors, fiber Bragg grating strain sensors, ultrasonic wind speed and direction sensors and ball camera. Through the Iridium antenna, various data processed by GPU, controller and deep learning model analysis can be transmitted back to the sea ice monitoring base station and other data centers for full collection. The device can be positioned through the GPS antenna to prevent the loss of position signals, which ensures the continuity of the device's monitoring results of sea ice status to a certain extent. ;
[0014] 2. A plurality of threaded holes are provided on the bottom inner wall of the bottom fixing box of the utility model corresponding to the plurality of threaded rods. This arrangement enables the plurality of threaded rods to be threadedly rotated in and out of the bottom fixing box from the corresponding threaded holes, which is conducive to the movement of the threaded rods at a fixed motion trajectory and speed, and effectively ensures the stability of the device when it is fixed to the sea ice layer.
[0015] 3. A limit fixing cylinder is arranged at the periphery of the upper and middle part of the rotating shaft below the motor of the utility model, an upper limit plate is arranged at the periphery of the upper part of the limit fixing cylinder, and a lower limit plate is arranged at the periphery of the bottom of the limit fixing cylinder. The upper limit plate and the lower limit plate are arranged corresponding to the upper surface and the lower surface of the limit top plate respectively. This arrangement is conducive to limiting the threaded rod when it moves out of the bottom fixed box body for a certain distance or is retracted into the bottom fixed box body for a certain distance.
[0016] 4. A plurality of omnidirectional wheels are evenly arranged below the bottom fixed box of the utility model, which is conducive to the rapid movement of the device by the monitoring personnel.
[0017] 5. The motor, GPU, data receiver, network receiver, display, button, electric lifting rod, ice sensor, temperature, humidity and air pressure sensor, fiber grating strain sensor, ultrasonic wind speed and direction sensor, ball camera, GPS antenna and iridium antenna of the utility model are electrically connected to the controller respectively, and this setting effectively ensures the normal operation of the sea ice monitoring device.
[0018] 6. A solar panel is rotatably provided on one side of the top of the third grid of the utility model. The solar panel is electrically connected to the controller, and the solar panel is helpful for auxiliary energy supply for the electrical components on this device. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] Figure 1 This is a front view structural schematic diagram of the utility model;
[0020] Figure 2 It is a front view cross-sectional structural schematic diagram of the utility model;
[0021] Figure 3 This is a schematic diagram of the internal structure of the bottom fixing component of the utility model;
[0022] Figure 4 for Figure 3 Schematic diagram of the enlarged structure of part A.
[0023] Figure numerals: 1: bottom fixing component, 2: control processing component, 3: lifting support component, 4: state monitoring component, 5: bottom fixing box, 6: motor, 7: rotating shaft, 8: first bevel gear, 9: second bevel gear, 10: threaded rod, 11: steel nail, 12: steel thorn, 13: limit top plate, 14: control processing box, 15: GPU, 16: controller, 17: data receiver, 18: network receiver, 19: display, 20: button, 21: electric lifting rod, 22: first support plate, 23 : The first grid, 24: The second support plate, 25: The second grid, 26: The third support plate, 27: The third grid, 28: The fourth support plate, 29: Ice sensor, 30: Temperature, humidity and air pressure sensor, 31: Fiber Bragg grating strain sensor, 32: Ultrasonic wind speed and direction sensor, 33: Dome camera, 34: Communication bracket, 35: GPS antenna, 36: Iridium antenna, 37: Threaded hole, 38: Limit fixing cylinder, 39: Upper limit plate, 40: Lower limit plate, 41: Omnidirectional wheel, 42: Solar panel. DETAILED DESCRIPTION
[0024] The technical solution of the utility model will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments of the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.
[0025] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.
[0026] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "install", "connect", "connect", and "set" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0027] like Figure 1 , Figure 2 , Figure 3 and Figure 4As shown, it includes a bottom fixing component 1, a control processing component 2 arranged at the top of the bottom fixing component 1, a lifting support component 3 arranged above the bottom fixing component 1, and a state monitoring component 4 arranged on the lifting support component 3. Under the fixed support action of the bottom fixing component 1 and the lifting support component 3, the control processing component 2 controls the state monitoring component 4 so that the state monitoring component 4 can monitor the state of the sea ice in real time. Compared with the previous manual monitoring method, this sea ice state monitoring device is more autonomous, more intelligent, more safer and more accurate; the bottom fixing component 1 includes a bottom fixing box 5, a motor 6 is arranged on the vertical center line of the bottom fixing box 5, a rotating shaft 7 is fixedly arranged at the bottom of the motor 6, a first bevel gear 8 is fixedly arranged on the periphery of the lower part of the rotating shaft 7, and a plurality of second bevel gears 9 are meshed and connected to the periphery of the first bevel gear 8 in a ring array, and a threaded rod 10 is correspondingly connected to the center position of the plurality of second bevel gears 9, and the threaded rod 10 is The bottom of the threaded rod 10 is provided with a steel nail 11, and the outside of the steel nail 11 is evenly distributed with a plurality of steel spikes 12. The top of the threaded rod 10 is provided with a limited top plate 13. This setting drives the rotating shaft 7 and the first bevel gear 8 on the rotating shaft 7 to rotate by controlling the forward rotation of the motor 6, and then synchronously drives the plurality of second bevel gears 9 meshing with the first bevel gear 8 to rotate. The synchronous rotation of the plurality of second bevel gears 9 can drive the threaded rod 10 connected with the corresponding threads to gradually rotate along the threaded hole 37 and move downward in a synchronous manner, and then the steel nail 11 corresponding to the bottom of the threaded rod 10 can be gradually inserted into the sea ice layer (when the steel nail 11 and the threaded rod 10 are received in the bottom fixed box 5, it is only necessary to control the motor 6 to reverse, and the whole process is the opposite). In general, this setting is easy to adjust, and the steel nail 11 can be quickly moved out or received into the bottom fixed box 5 with the adjustment of the threaded rod 10, which is conducive to the rapid formation of fixation between the device and the sea ice layer, so as to lay a supporting foundation for the subsequent continuous monitoring work.The control processing assembly 2 includes a control processing box 14 arranged on the top inner wall of the bottom fixed box 5, a GPU 15, a controller 16, a data receiver 17 and a network receiver 18 arranged in the control processing box 14, and a display 19 and a button 20 arranged on the front side of the bottom fixed box 5 corresponding to the control processing box 14. The GPU 15 can be a PNYRTX A6000 model, the controller 16 can be a small controller PNOZmulti 2 model controller, this controller 16 can be applicable to commonly used communication networks and can also connect, control and monitor multiple components at the same time, and the data receiver 17 can be a UM2002B model Su-1 produced by Broadchip Microelectronics. GHz radio frequency receiver, the network receiver 18 can adopt the CF-BE200MAX model network receiver 18 produced by COMFRST, the display 19 can adopt the TM-B01 model capacitive touch screen produced by Guangzhou Bangzhuo Electronics Co., Ltd., and the control processing component 2 is also provided with a deep learning model. The deep learning model is a model for data analysis of the information monitored by each component. Its method for analyzing information data is a prior art and will not be described in detail here. This setting can enable the data receiver 17 and the network receiver 18 to operate under the control of the controller 16 and receive the data monitored by multiple monitoring components in real time through wireless or wired methods, and then transmit the received data to the GPU15, the controller 16 or the deep learning model for processing, wherein the GPU15 can process the graphic information collected by the ball camera 33, and the specific parameters and images obtained after processing can be displayed through the display 19. In general, this setting can quickly receive and process various types of data obtained by monitoring, ensure the continuity of sea ice status monitoring, and be more autonomous and intelligent. The deep learning technology is combined to make the sea ice status monitoring more accurate; the lifting support assembly 3 includes a plurality of electric lifting rods 21 vertically evenly distributed above the bottom fixed box 5, and the tops of the plurality of electric lifting rods 21 are commonly connected to a first horizontally arranged support plate 22, a first grid 23 is arranged above the first support plate 22, a second support plate 24 is horizontally arranged above the first grid 23, a second grid 25 is arranged above the second support plate 24, a third support plate 26 is horizontally arranged above the second grid 25, and a third support plate 26 is arranged above the third support plate 26. A third grid frame 27 is provided, and a fourth support plate 28 is horizontally provided above the third grid frame 27. This setting can control the synchronous lifting of multiple electric lifting rods 21 through the controller 16 so that the entire lifting support assembly 3 is synchronously lifted to meet the needs of different monitoring heights. A four-layer grid structure is formed by sequentially arranging the first support plate 22, the first grid frame 23, the second support plate 24, the second grid frame 25, the third support plate 26, the third grid frame 27, and the fourth support plate 28, which can provide the most suitable placement position for different monitoring components, so that the monitoring data is more accurate;The state monitoring component 4 includes an icing sensor 29, a temperature, humidity and air pressure sensor 30 and a fiber grating strain sensor 31 which are arranged on the first support plate 22 from left to right, an ultrasonic wind speed and direction sensor 32 which is arranged on the second support plate 24, a ball camera 33 which is arranged at the bottom of the fourth support plate 28, a communication bracket 34 which is arranged above the fourth support plate 28, and a GPS antenna 35 and an iridium antenna 36 which are adjacent to the communication bracket 34. The icing sensor 29 can adopt the WYJ-TS1 precision crystal quartz measuring instrument produced by Huafan Sensing Technology, the temperature, humidity and air pressure sensor 30 can adopt the DF-WSY atmospheric temperature, humidity and pressure three-in-one sensor produced by Dongfang Xinhong (Beijing) Technology Co., Ltd., and the fiber grating strain sensor 31 can adopt the DF-WSY atmospheric temperature, humidity and pressure three-in-one sensor produced by Shenzhen Jiance Intelligent Technology Co., Ltd. The JFSS-04 low-temperature sensitive fiber Bragg grating strain sensor 31 produced by the company, and the ultrasonic wind speed and direction sensor 32 can adopt the RS-CFSFX-*-3H small ultrasonic wind speed and direction transmitter produced by Jianda Renke. This setting can monitor various state parameters of sea ice in real time through the ice sensor 29, the temperature, humidity and pressure sensor 30, the fiber Bragg grating strain sensor 31, the ultrasonic wind speed and direction sensor 32 and the ball camera 33. Through the Iridium antenna 36, various data processed by the GPU 15, the controller 16 and the deep learning model can be transmitted back to the sea ice monitoring base station and other data centers for full collection. Through the GPS antenna 35, the device can be positioned to prevent the loss of the position signal, which ensures the continuity of the sea ice status monitoring results of this device to a certain extent. ;
[0028] like Figure 2 , Figure 3 and 4 As shown, a plurality of threaded holes 37 are provided on the bottom inner wall of the bottom fixed box 5 corresponding to the plurality of threaded rods 10. This arrangement enables the plurality of threaded rods 10 to be threadedly rotated in and out of the bottom fixed box 5 from the corresponding threaded holes 37, which is beneficial for the threaded rods 10 to move at a fixed motion trajectory and speed, and effectively ensures the stability of the device when it is fixed to the sea ice layer.
[0029] like Figure 2 and Figure 3 As shown, a limiting fixed cylinder 38 is arranged on the periphery of the upper and middle parts of the rotating shaft 7 below the motor 6, an upper limiting plate 39 is arranged on the periphery of the upper part of the limiting fixed cylinder 38, and a lower limiting plate 40 is arranged on the periphery of the bottom of the limiting fixed cylinder 38. The upper limiting plate 39 and the lower limiting plate 40 are arranged corresponding to the upper surface and the lower surface of the limiting top plate 13 respectively. This arrangement is conducive to limiting the threaded rod 10 when it moves out of the bottom fixed box body 5 by a certain distance or is retracted into the bottom fixed box body 5 by a certain distance.
[0030] like Figure 1 , Figure 2 and Figure 3 As shown, a plurality of omnidirectional wheels 41 are evenly arranged below the bottom fixed box 5, and this arrangement is conducive to the rapid movement of the device by the monitoring personnel.
[0031] like Figure 1 , Figure 2 and Figure 3 As shown, the motor 6, GPU 15, data receiver 17, network receiver 18, display 19, button 20, electric lifting rod 21, ice sensor 29, temperature, humidity and air pressure sensor 30, fiber grating strain sensor 31, ultrasonic wind speed and direction sensor 32, ball camera 33, GPS antenna 35 and iridium antenna 36 are electrically connected to the controller 16 respectively. This arrangement effectively ensures the normal operation of the sea ice monitoring device.
[0032] like Figure 1 and Figure 2 As shown, a solar panel 42 is rotatably provided on one side of the top of the third grid 27. The solar panel 42 is electrically connected to the controller 16. The solar panel 42 is helpful for providing auxiliary energy for the electrical components on this device.
[0033] The specific operating principle is:
[0034] When using this sea ice status monitoring device, the monitoring personnel can move it to the sea ice layer to be monitored through the omnidirectional wheels at the bottom, and then connect the external power supply to make the device operate normally. Click the button to make the controller control the motor to rotate forward to drive the rotating shaft and the first bevel gear on the rotating shaft to rotate, and then synchronously drive the multiple second bevel gears meshing with the first bevel gear to rotate. The synchronous rotation of the multiple second bevel gears can drive the threaded rods connected to the corresponding threads to gradually rotate along the threaded hole threads and move downward synchronously, and then the steel nails corresponding to the bottom of the threaded rods can be gradually inserted into the sea ice layer (when the steel nails and the threaded rods are stored in the bottom fixed box, only the motor needs to be controlled to reverse, and the whole process is the opposite), until the bottom surface of the limit top plate is connected to the lower limit plate to complete the fixation between the sea ice status monitoring device and the sea ice layer; by clicking the button, the controller controls the synchronous lifting of multiple electric lifting rods so that the entire lifting support assembly is synchronously lifted to meet the needs of different monitoring heights, and then click the button to control the ultrasonic wind speed The wind direction sensor monitors the wind speed and direction near the sea ice layer in real time, controls the icing sensor to monitor the icing condition of the sea ice layer, controls the temperature, humidity and air pressure sensor to monitor the temperature, humidity and air pressure near the sea ice layer, controls the fiber grating strain sensor to monitor the structural changes on the surface of the sea ice layer, controls the ball camera to collect images of the state of the sea ice surface, and controls the GPS antenna to locate the sea ice state monitoring device. Then, the data obtained by monitoring multiple monitoring components is received in real time through the data receiver and network receiver in wireless or wired manner. The received data is then transmitted to the GPU, controller or deep learning model for analysis and processing. The specific parameters and images obtained after analysis and processing can be displayed on the monitor for reference by the on-site monitoring personnel. At the same time, various data analyzed and processed by the GPU, controller and deep learning model can be transmitted back to the sea ice monitoring base station and other data centers through the Iridium antenna for full collection, so as to be used by the base station personnel for summary research.
[0035] The electrical components appearing in this article can all be connected to the external main controller and 220V AC power through a transformer, and the main controller can be a conventional known device such as a computer that plays a control role. The conventional known device such as a computer that plays a control role can receive various data signals monitored by this device in real time. The electrical components provided by the utility model are only used for the technical solution according to the structural characteristics of the product. The product will be adjusted and modified after purchase to make it more matching and consistent with the technical solution of the utility model. It is a technical solution for the best application of the technical solution. The model of the product can be replaced and modified according to the required technical parameters. It is well known to technical personnel in this field. Therefore, technical personnel in this field can clearly obtain the corresponding use effect through the technical solution provided by the utility model.
[0036] The control method of the present invention is automatic control through a controller. The control circuit of the controller can be realized by simple programming by technicians in this field. The provision of power is also common knowledge in this field. The present invention is mainly used to protect mechanical devices, so the present invention will not explain the control method and circuit connection in detail.
[0037] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the utility model, rather than to limit it. Although the utility model has been described in detail with reference to the aforementioned embodiments, ordinary technicians in this field should understand that they can still modify the technical solutions recorded in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not make the essence of the corresponding technical solution deviate from the scope of the technical solution of the embodiments of the utility model.
Claims
1. A sea ice status monitoring device based on deep learning, characterized in that: It includes a bottom fixing component, a control processing component arranged at the top of the bottom fixing component, a lifting support component arranged above the bottom fixing component, and a state monitoring component arranged on the lifting support component; The bottom fixing assembly comprises a bottom fixing box, a motor is arranged on the vertical center line of the bottom fixing box, a rotating shaft is fixedly arranged at the bottom of the motor, a first bevel gear is fixedly arranged on the periphery of the lower part of the rotating shaft, a plurality of second bevel gears are meshed and connected in an annular array on the periphery of the first bevel gear, a threaded rod is correspondingly threadedly connected to the center positions of the plurality of second bevel gears, the threaded rod extends out of the box body in a downwardly inclined manner, a steel nail is correspondingly arranged at the bottom of the threaded rod, and a limited top plate is correspondingly arranged on the top of the threaded rod; The control processing assembly includes a control processing box disposed on the top inner wall of the bottom fixed box, a GPU, a controller, a data receiver and a network receiver disposed in the control processing box, and a display and buttons disposed on the front side of the bottom fixed box corresponding to the control processing box; The lifting support assembly includes a plurality of electric lifting rods vertically and evenly distributed above the bottom fixed box, the tops of the plurality of electric lifting rods are commonly connected to a first support plate arranged horizontally, a first grid is arranged above the first support plate, a second support plate is arranged horizontally above the first grid, a second grid is arranged above the second support plate, a third support plate is arranged horizontally above the second grid, a third grid is arranged above the third support plate, and a fourth support plate is arranged horizontally above the third grid; The status monitoring component includes an ice sensor, a temperature, humidity and air pressure sensor and a fiber grating strain sensor arranged on the first support plate from left to right, an ultrasonic wind speed and direction sensor arranged on the second support plate, a ball camera arranged at the bottom of the fourth support plate, a communication bracket arranged above the fourth support plate, and a GPS antenna and an iridium antenna arranged adjacent to the communication bracket.
2. The sea ice status monitoring device based on deep learning according to claim 1, characterized in that: A plurality of threaded holes are provided on the bottom inner wall of the bottom fixing box body corresponding to the plurality of threaded rods.
3. The sea ice status monitoring device based on deep learning according to claim 1, characterized in that: A limit fixing cylinder is arranged below the motor and corresponds to the periphery of the middle and upper part of the rotating shaft. An upper limit plate is arranged on the periphery of the upper part of the limit fixing cylinder, and a lower limit plate is arranged on the periphery of the bottom of the limit fixing cylinder.
4. The sea ice status monitoring device based on deep learning according to claim 1, characterized in that: A plurality of omnidirectional wheels are evenly arranged below the bottom fixed box.
5. The sea ice status monitoring device based on deep learning according to claim 1, characterized in that: The motor, the GPU, the data receiver, the network receiver, the display, the button, the electric lifting rod, the ice sensor, the temperature, humidity and air pressure sensor, the fiber grating strain sensor, the ultrasonic wind speed and direction sensor, the ball camera, the GPS antenna and the iridium antenna are electrically connected to the controller respectively.
6. The sea ice status monitoring device based on deep learning according to claim 1, characterized in that: A solar panel is rotatably arranged on one side of the top of the third grid, and the solar panel is electrically connected to the controller.