CN213457418U - Meteorological disaster early warning information detection device based on deep learning - Google Patents
Meteorological disaster early warning information detection device based on deep learning Download PDFInfo
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- CN213457418U CN213457418U CN202022926196.0U CN202022926196U CN213457418U CN 213457418 U CN213457418 U CN 213457418U CN 202022926196 U CN202022926196 U CN 202022926196U CN 213457418 U CN213457418 U CN 213457418U
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Abstract
The utility model relates to the technical field of meteorological monitoring equipment, in particular to a meteorological disaster early warning information detection device based on deep learning, which comprises a vertical rod, wherein a meteorological detection mechanism is arranged above the vertical rod, a mounting plate is arranged below the vertical rod, an evaporation sensor and a rainfall sensor are respectively arranged at two sides of the top end of the mounting plate, the bottom end of the vertical rod penetrates through the mounting plate and extends downwards to the inside of soil, and a soil humidity sensor and a soil moisture sensor arranged at one side of the soil humidity sensor are arranged inside the soil, the utility model observes the meteorological disaster change condition through the meteorological detection mechanism at the top end of the vertical rod, the evaporation sensor and the rainfall sensor on the mounting plate, the soil humidity sensor and the soil moisture sensor, and displays the observation result through a data acquisition instrument in a second mounting box to obtain the meteorological disaster early warning information, and the storage battery in the first installation box can supply power to the plurality of sensors under the condition of power failure.
Description
Technical Field
The utility model relates to a meteorological monitoring equipment technical field specifically is a meteorological disaster early warning information detection device based on degree of depth learning.
Background
The weather detector is mainly used for detecting the weather conditions of local sections, can automatically collect weather information, and can provide accurate weather information for operation managers and road users of roads in time. The current meteorological detection device has the defects that the detection effect is greatly different from the actual condition, and the meteorological information cannot be accurately obtained during power failure. In view of this, we propose a meteorological disaster warning information detection device based on deep learning.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a meteorological disaster early warning information detection device based on degree of depth study to solve the problem that proposes in the above-mentioned background art.
In order to achieve the above object, the utility model provides a following technical scheme:
the utility model provides a meteorological disaster early warning information detection device based on degree of depth study, includes the pole setting, the top of pole setting is equipped with meteorological detection mechanism, meteorological detection mechanism establishes including the cover pipe at the pole setting top, sheathed tube last fixed surface has the roof, wind speed sensor and wind direction sensor are installed respectively to the top both sides of roof, be fixed with first connecting rod on the sheathed tube pipe wall and with the second connecting rod of first connecting rod equidimension, first connecting rod is kept away from sheathed tube one end is fixed with temperature sensor, the second connecting rod is kept away from sheathed tube one end fixed mounting has humidity transducer, one side of pole setting is equipped with solar panel, solar panel's one side below is equipped with first install bin and locates the second install bin of first install bin bottom, the below of pole setting is equipped with the mounting panel, evaporation sensor and rainfall sensor are installed respectively to the top both sides of mounting panel, the bottom of pole setting runs through mounting panel and downwardly extending to the inside of soil, and soil internally mounted has soil moisture sensor and locates the soil moisture sensor of soil moisture sensor one side.
Preferably, the top end of the upright rod is provided with a plurality of screw holes, and a plurality of bolts which are matched with the screw holes in size and are linearly arranged at equal intervals are fixed on the outer threads of the sleeve.
Preferably, a first stretching rod and a second stretching rod arranged below the first stretching rod are fixed on the vertical rod, and the rear end face of the solar panel is fixedly connected with the first stretching rod and one end of the second stretching rod.
Preferably, the length of the first extension rod is smaller than that of the second extension rod.
Preferably, the rear end of first install bin and the second install bin all has solid fixed ring in the welding closely, first install bin and the second install bin all passes through solid fixed ring with pole setting fixed connection.
Preferably, install solar controller and battery in the first install bin, and solar controller and battery all with solar panel electric connection.
Preferably, a data acquisition instrument is installed in the second installation box.
Compared with the prior art, the beneficial effects of the utility model are that: this meteorological disaster early warning information detection device based on degree of depth study, meteorological detection mechanism through the pole setting top, evaporation sensor and rainfall sensor and soil moisture sensor on the mounting panel observe the situation of change of meteorological, the data acquisition appearance in the rethread second install bin shows the result of observing, meteorological disaster early warning information is obtained, and the battery in the first install bin can supply power to a plurality of sensors under the power failure condition, it is great with actual conditions phase difference to have solved present meteorological detection device detection effect, and the problem that obtains meteorological information that can't be accurate when having a power failure.
Drawings
Fig. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic structural view of the meteorological detection mechanism of the present invention;
fig. 3 is a schematic structural view of the vertical rod of the present invention;
fig. 4 is a sectional view of the center pole according to the present invention.
In the figure: 1. erecting a rod; 11. a first extension bar; 12. a second extension bar; 13. a screw hole; 14. a first installation box; 15. a second installation box; 16. a fixing ring; 2. a weather detection mechanism; 21. a sleeve; 22. a top plate; 221. a wind speed sensor; 222. a wind direction sensor; 23. a first link; 231. a temperature sensor; 24. a second link; 241. a humidity sensor; 25. a bolt; 3. a solar panel; 4. mounting a plate; 5. an evaporation sensor; 6. a rainfall sensor; 7. a soil humidity sensor; 8. a soil moisture sensor.
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.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and to simplify the description, but do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore should not be construed as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically limited otherwise.
Referring to fig. 1-4, the present invention provides a technical solution:
a meteorological disaster early warning information detection device based on deep learning comprises an upright rod 1, a meteorological detection mechanism 2 is arranged above the upright rod 1, the meteorological detection mechanism 2 comprises a sleeve 21 sleeved at the top end of the upright rod 1, a top plate 22 is fixed on the upper surface of the sleeve 21, a wind speed sensor 221 and a wind direction sensor 222 are respectively arranged on two sides of the top end of the top plate 22, a first connecting rod 23 and a second connecting rod 24 with the same size as the first connecting rod 23 are fixed on the pipe wall of the sleeve 21, a temperature sensor 231 is fixed at one end of the first connecting rod 23 far away from the sleeve 21, a humidity sensor 241 is fixedly arranged at one end of the second connecting rod 24 far away from the sleeve 21, a solar panel 3 is arranged on one side of the upright rod 1, a first installation box 14 and a second installation box 15 arranged at the bottom of the first installation box 14 are arranged below the upright rod 1, an installation plate 4 is arranged below the upright rod 1, an evaporation, the bottom of pole setting 1 runs through mounting panel 4 and downwardly extending to the inside of soil, and soil internally mounted has soil moisture sensor 7 and locates the soil moisture sensor 8 of soil moisture sensor 7 one side.
In this embodiment, the top of pole setting 1 is equipped with a plurality of screw 13, and the external thread of sleeve pipe 21 is fixed with a plurality of and screw 13 size looks adaptation and be the linear bolt 25 of equidistant range, is convenient for fix sleeve pipe 21 on pole setting 1, detects the weather.
Furthermore, a first stretching rod 11 and a second stretching rod 12 arranged below the first stretching rod 11 are fixed on the vertical rod 1, and the rear end face of the solar panel 3 is fixedly connected with one ends of the first stretching rod 11 and the second stretching rod 12, so that the solar panel 3 is convenient to fix, and the solar panel 3 is more stable to be installed on the vertical rod 1.
Furthermore, the length of the first extension rod 11 is smaller than that of the second extension rod 12, so that the solar panel is obliquely arranged on the vertical rod 1, and light energy can be better absorbed.
In this embodiment, the rear ends of the first installation box 14 and the second installation box 15 are respectively and tightly welded with the fixing ring 16, and the first installation box 14 and the second installation box 15 are respectively and fixedly connected with the vertical rod 1 through the fixing ring 16, so that the first installation box 14 and the second installation box 15 are conveniently fixed on the vertical rod 1, and the first installation box 14 and the second installation box 15 are prevented from falling off from the vertical rod 1.
It is worth noting that install solar control ware and battery in the first install bin 14, and solar control ware and battery all with solar panel 3 electric connection, solar control ware can be the electric energy with the light energy conversion that solar panel 3 absorbed, the electric energy of conversion enters into and stores in the battery, be convenient for supply power to air velocity transducer 221 when having a power failure, wind direction sensor 222, temperature sensor 231, humidity transducer 241, evaporation sensor 5, rainfall sensor 6, soil moisture sensor 7 and soil moisture sensor 8.
It should be noted that a data acquisition instrument is installed in the second installation box 15, so as to display the detection results of the wind speed sensor 221, the wind direction sensor 222, the temperature sensor 231, the humidity sensor 241, the evaporation sensor 5, the rainfall sensor 6, the soil humidity sensor 7 and the soil moisture sensor 8.
The meteorological disaster early warning information detection device based on degree of depth study of this embodiment is when using, meteorological detection mechanism 2 through pole setting 1 top, the variation of meteorological condition is surveyed to evaporative sensor 5 and rainfall sensor 6 and soil moisture sensor 7 and soil moisture sensor 8 on the mounting panel 4, the data acquisition appearance in the rethread second install bin 15 shows the result of observing, meteorological disaster early warning information is obtained, and the battery in the first install bin 14 can supply power to a plurality of sensors under the power failure condition, it is great with actual conditions phase difference to have solved present meteorological detection device testing effect, and the problem that obtains meteorological information that can't be accurate when having a power failure.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It should be understood by those skilled in the art that the present invention is not limited by the above embodiments, and the description in the above embodiments and the description is only preferred examples of the present invention, and is not intended to limit the present invention, and that the present invention can have various changes and modifications without departing from the spirit and scope of the present invention, and these changes and modifications all fall into the scope of the claimed invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. The utility model provides a meteorological disaster early warning information detection device based on deep learning, includes pole setting (1), its characterized in that: the top of pole setting (1) is equipped with meteorological detection mechanism (2), meteorological detection mechanism (2) establish including the cover sleeve pipe (21) on pole setting (1) top, the last fixed surface of sleeve pipe (21) has roof (22), air velocity transducer (221) and wind direction sensor (222) are installed respectively to the top both sides of roof (22), be fixed with first connecting rod (23) on the pipe wall of sleeve pipe (21) and with second connecting rod (24) of first connecting rod (23) the same size, keep away from first connecting rod (23) the one end of sleeve pipe (21) is fixed with temperature sensor (231), second connecting rod (24) are kept away from the one end fixed mounting of sleeve pipe (21) has humidity transducer (241), one side of pole setting (1) is equipped with solar panel (3), one side below of solar panel (3) is equipped with first install bin (14) and locates the second installation of first install bin (14) bottom is installed Case (15), the below of pole setting (1) is equipped with mounting panel (4), evaporative sensor (5) and rainfall sensor (6) are installed respectively to the top both sides of mounting panel (4), the bottom of pole setting (1) runs through mounting panel (4) and downwardly extending to the inside of soil, and soil internally mounted has soil moisture sensor (7) and locates soil moisture sensor (8) of soil moisture sensor (7) one side.
2. The meteorological disaster early warning information detection apparatus based on deep learning of claim 1, wherein: the top of pole setting (1) is equipped with a plurality of screw (13), the outside threaded fixation of sleeve pipe (21) have a plurality of with screw (13) size looks adaptation and be linear equidistant bolt (25) of arranging.
3. The meteorological disaster early warning information detection apparatus based on deep learning of claim 1, wherein: the solar panel is characterized in that a first stretching rod (11) and a second stretching rod (12) arranged below the first stretching rod (11) are fixed on the vertical rod (1), and the rear end face of the solar panel (3) is fixedly connected with the first stretching rod (11) and one end of the second stretching rod (12).
4. The meteorological disaster early warning information detection apparatus based on deep learning according to claim 3, wherein: the length of the first stretching rod (11) is smaller than that of the second stretching rod (12).
5. The meteorological disaster early warning information detection apparatus based on deep learning of claim 1, wherein: first install bin (14) and the equal inseparable welding in rear end of second install bin (15) has solid fixed ring (16), first install bin (14) and second install bin (15) all pass through gu fixed ring (16) with pole setting (1) fixed connection.
6. The meteorological disaster early warning information detection apparatus based on deep learning of claim 1, wherein: install solar controller and battery in first install bin (14), and solar controller and battery all with solar panel (3) electric connection.
7. The meteorological disaster early warning information detection apparatus based on deep learning of claim 1, wherein: and a data acquisition instrument is installed in the second installation box (15).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022926196.0U CN213457418U (en) | 2020-12-09 | 2020-12-09 | Meteorological disaster early warning information detection device based on deep learning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022926196.0U CN213457418U (en) | 2020-12-09 | 2020-12-09 | Meteorological disaster early warning information detection device based on deep learning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN213457418U true CN213457418U (en) | 2021-06-15 |
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|---|---|---|---|
| CN202022926196.0U Active CN213457418U (en) | 2020-12-09 | 2020-12-09 | Meteorological disaster early warning information detection device based on deep learning |
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| CN (1) | CN213457418U (en) |
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- 2020-12-09 CN CN202022926196.0U patent/CN213457418U/en active Active
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