CN213149957U - Big data debris flow early warning ware - Google Patents
Big data debris flow early warning ware Download PDFInfo
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- CN213149957U CN213149957U CN202021938023.4U CN202021938023U CN213149957U CN 213149957 U CN213149957 U CN 213149957U CN 202021938023 U CN202021938023 U CN 202021938023U CN 213149957 U CN213149957 U CN 213149957U
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 43
- 239000011435 rock Substances 0.000 claims abstract description 26
- 238000012544 monitoring process Methods 0.000 claims abstract description 20
- 230000010354 integration Effects 0.000 claims description 3
- 238000010248 power generation Methods 0.000 claims description 2
- 238000005192 partition Methods 0.000 claims 1
- 238000001556 precipitation Methods 0.000 abstract description 13
- 235000017166 Bambusa arundinacea Nutrition 0.000 abstract description 7
- 235000017491 Bambusa tulda Nutrition 0.000 abstract description 7
- 241001330002 Bambuseae Species 0.000 abstract description 7
- 235000015334 Phyllostachys viridis Nutrition 0.000 abstract description 7
- 239000011425 bamboo Substances 0.000 abstract description 7
- 230000000694 effects Effects 0.000 description 3
- 241000196324 Embryophyta Species 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 239000000523 sample Substances 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001066 destructive effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000008020 evaporation Effects 0.000 description 1
- 238000001704 evaporation Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- Testing Or Calibration Of Command Recording Devices (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The utility model discloses a big data mud-rock flow precaution device, comprising a base plate, the last fixed surface of bottom plate is connected with the chassis, the internally mounted of chassis has the conduit, the upper surface of chassis passes through connecting rod fixedly connected with containing box, the last fixed surface of containing box is connected with the alarm case, the inside of alarm case is provided with the cross slab, the inside that the containing box and extend to the alarm case is passed on the top of conduit, the last fixed surface of bottom plate is connected with water level monitoring section of thick bamboo. This big data mud-rock flow early warning ware through setting up wireless transmitter and wireless receiver, can utilize distance inductor, water level rope and GPS positioning chip, and the precipitation information that will observe transmits internet terminal together with positional information, and internet terminal compares this area perennial precipitation and precipitation when historical mud-rock flow takes place with precipitation time according to big data system, calculates the emergence probability of this area mud-rock flow in real time to carry out the early warning.
Description
Technical Field
The utility model relates to a mud-rock flow early warning technical field specifically is a big data mud-rock flow precaution device.
Background
The debris flow refers to a special flood flow which is caused by landslide caused by rainstorm, snowstorm or other natural disasters and carries a large amount of silt and stones in a mountain area or other gullies and in a severe terrain. The debris flow has the characteristics of high abruptness, high flow rate, high flow, large material capacity, strong destructive power and the like. The traffic facilities such as roads and railways, even villages and towns and the like are often destroyed by debris flow, and huge loss is caused.
At present, most of alarms aiming at debris flow are high-tech products, and a plurality of sensing probes such as a ground sound sensor are arranged inside the alarms. A plurality of sensing probes often purchase the cost higher, install subaerial and the bottom of the earth, can not demolish before meetting large-scale mud-rock flow and taking place, are destroyed by mud-rock flow and can cause great loss.
At present, the internet big data industry develops rapidly, and we can observe precipitation and combine big data information to carry out preliminary early warning on debris flow.
Therefore, a big data debris flow early warning device is provided.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a big data mud-rock flow precaution device to solve the problem that proposes among the above-mentioned background art.
In order to achieve the above object, the utility model provides a following technical scheme: a big data debris flow early warning device comprises a bottom plate, wherein the upper surface of the bottom plate is fixedly connected with a bottom frame, a conduit is arranged inside the bottom frame, the upper surface of the bottom frame is fixedly connected with a containing box through a connecting rod, the upper surface of the containing box is fixedly connected with an alarm box, a transverse clapboard is arranged inside the alarm box, the top end of the conduit penetrates through the containing box and extends into the alarm box, the upper surface of the bottom plate is fixedly connected with a water level monitoring cylinder, a water level rope is sleeved inside the water level monitoring cylinder through a fixing ring, a floating plate is arranged at the top end of the water level rope, which is positioned inside the water level monitoring cylinder, the other end of the water level rope penetrates through the conduit and extends to the alarm box to be fixedly connected with a ranging plate inside, the inner bottom wall of the alarm box is fixedly connected with a return spring sleeved outside the water level rope, and a distance sensor is arranged below the transverse clapboard, the inside of alarm case is provided with control mainboard, wireless signal transmitter and wireless signal receiver, the control mainboard integration has CPS to fix a position the chip.
Preferably, the underframe comprises four supporting rods and a supporting bedplate, the bottoms of the four supporting rods are fixedly connected with the same fixing plate, and the conduit is fixedly connected with the fixing plate.
Preferably, the front of containing box has the shutter through the hinge installation, emergency equipment such as emergency flashlight has been placed to the inside of containing box.
Preferably, the upper surface of the bottom plate is fixedly connected with two wire guiding wheels, and the two wire guiding wheels are respectively positioned below the water level monitoring cylinder and the wire guiding pipe.
Preferably, the buoyancy of the floating plate is larger than the elastic force of the return spring, and the water level monitoring cylinder is fixedly connected with the upper surface of the bottom plate through a fixing column on the back surface of the water level monitoring cylinder.
Preferably, the top of alarm case is provided with solar panel, the inside of alarm case is provided with the battery, wireless signal transmitter, wireless signal receiver and distance inductor are all in the coupling of control mainboard.
Advantageous effects
The utility model provides a big data mud-rock flow precaution device possesses following beneficial effect:
1. this big data mud-rock flow early warning ware through setting up wireless transmitter and wireless receiver, can utilize distance inductor, water level rope and GPS positioning chip, and the precipitation information that will observe transmits internet terminal together with positional information, and internet terminal compares this area perennial precipitation and precipitation when historical mud-rock flow takes place with precipitation time according to big data system, calculates the emergence probability of this area mud-rock flow in real time to carry out the early warning.
2. This big data mud-rock flow precaution device adopts the chassis to erect whole equipment, when avoiding the mud-rock flow to take place with the direct contact of alarm, montant in the chassis has reduced the atress of integrated device when the mud-rock flow takes place, can avoid being pushed down by the mud-rock flow to protect internal plant, the effect of the reduction loss that has.
Drawings
FIG. 1 is a schematic front view of the present invention;
FIG. 2 is a schematic view of the internal structure of the alarm box and the storage box of the present invention;
fig. 3 is the utility model discloses a water level monitoring section of thick bamboo is just cut open structure schematic diagram.
In the figure: the solar water heater comprises a base plate 1, a base frame 2, a conduit 3, a storage box 4, an alarm box 5, a transverse clapboard 6, a water level monitoring cylinder 7, a water level rope 8, a floating plate 9, a distance measuring plate 10, a reset spring 11, a distance sensor 12, a control main board 13, a wireless signal transmitter 14, a wireless signal receiver 15, a support bedplate 16, a conduit wheel 17, a solar power generation plate 18, a storage battery 19 and a fixing ring 20.
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. 1-3, the present invention provides a technical solution: the utility model provides a big data mud-rock flow early warning ware, includes bottom plate 1, and the last fixed surface of bottom plate 1 is connected with chassis 2, and the internally mounted of chassis 2 has conduit 3, and chassis 2 comprises four bracing pieces and support platen 16, the same fixed plate of the equal fixedly connected with in bottom of four bracing pieces, conduit 3 and fixed plate fixed connection.
Connecting rod fixedly connected with containing box 4 is passed through to the upper surface of chassis 2, there is the door that opens and shuts in the front of containing box 4 through the hinge mounting, emergency facilities such as emergency flashlight have been placed to the inside of containing box 4, the last fixed surface of containing box 4 is connected with alarm box 5, the inside of alarm box 5 is provided with cross slab 6, containing box 4 is passed and the inside that extends to alarm box 5 is passed on the top of conduit 3, the last fixed surface of bottom plate 1 is connected with water level monitoring section of thick bamboo 7, two wire wheels 17 of the last fixed surface of bottom plate 1, two wire wheels 17 are located the below of water level monitoring section of thick bamboo 7 and conduit 3 respectively.
This big data mud-rock flow early warning ware adopts chassis 2 to erect whole equipment, when avoiding the mud-rock flow to take place with alarm case 5's direct contact, the montant in chassis 2 has reduced the atress of integrated device when the mud-rock flow takes place, can avoid being pushed down by the mud-rock flow to protect the effect of the reduction loss that has to the internal plant.
The inside of a water level monitoring section of thick bamboo 7 is equipped with water level rope 8 through solid fixed ring 20 cover, the kickboard 9 is installed on the top that is located the inside of a water level monitoring section of thick bamboo 7 of water level rope 8, the other end of water level rope 8 passes conduit 3 and extends to alarm case 5 to inside fixedly connected with range finding board 10, the outside reset spring 11 of water level rope 8 is located to the inner diapire fixedly connected with cover of alarm case 5, the buoyancy of kickboard 9 is greater than reset spring 11's elasticity, water level monitoring section of thick bamboo 7 is through the fixed column at its back and 1 upper surface fixed connection of bottom plate.
This big data mud-rock flow early warning ware through setting up wireless transmitter 14 and wireless signal receiver 15, can utilize distance sensor 12, water level rope 8 and GPS positioning chip, and the precipitation information that will observe transmits internet terminal together with positional information, and internet terminal compares the precipitation when this area perennial precipitation and historical mud-rock flow take place with precipitation time according to big data system, calculates the emergence probability of this area mud-rock flow in real time to early warning is carried out.
The working principle is as follows: when the debris flow early warning device based on the big data is used, when rainfall data is monitored, the rainfall represents rainwater falling from the sky to the ground in a certain time period, the depth of a water layer accumulated on the water surface without evaporation, permeation and loss is an important factor causing debris flow, when the water level rises, the floating plate 9 is driven to rise, the water level rope 8 is pulled to drive the distance measuring plate 10 to move downwards, the distance sensor 12 can obtain water level information at the moment, the control main board 13 receives a calling instruction sent by the remote terminal through the wireless signal receiver 15, the water level information and the position information sensed by the GPS positioning chip are sent to the remote server terminal through the wireless signal transmitter 14, the internet terminal compares the perennial rainfall of the area with the rainfall and the rainfall time when historical debris flow occurs according to a big data system, the occurrence probability of the debris flow of the area is calculated in real time, thereby carrying out early warning.
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 (6)
1. The utility model provides a big data mud-rock flow precaution device, includes bottom plate (1), its characterized in that: the upper surface of the bottom plate (1) is fixedly connected with a chassis (2), a conduit (3) is installed inside the chassis (2), the upper surface of the chassis (2) is fixedly connected with a containing box (4) through a connecting rod, the upper surface of the containing box (4) is fixedly connected with an alarm box (5), a transverse partition plate (6) is arranged inside the alarm box (5), the top end of the conduit (3) penetrates through the containing box (4) and extends into the alarm box (5), the upper surface of the bottom plate (1) is fixedly connected with a water level monitoring cylinder (7), a water level rope (8) is sleeved inside the water level monitoring cylinder (7) through a fixing ring (20), a floating plate (9) is installed at the top end of the water level rope (8) located inside the water level monitoring cylinder (7), the other end of the water level rope (8) penetrates through the conduit (3) and extends to the alarm box (5) and is fixedly connected with a ranging plate (10), the outside reset spring (11) of water level rope (8) is located to the inner diapire fixedly connected with cover of alarm case (5), distance inductor (12) are installed to the below of diaphragm (6), the inside of alarm case (5) is provided with control mainboard (13), wireless signal transmitter (14) and wireless signal receiver (15), control mainboard (13) integration has CPS location chip.
2. The big data debris flow early warning device according to claim 1, wherein: the base frame (2) is composed of four supporting rods and a supporting bedplate (16), the bottoms of the four supporting rods are fixedly connected with the same fixing plate, and the conduit (3) is fixedly connected with the fixing plate.
3. The big data debris flow early warning device according to claim 1, wherein: the front of containing box (4) is installed the shutter through the hinge, emergency equipment such as emergency flashlight has been placed to the inside of containing box (4).
4. The big data debris flow early warning device according to claim 1, wherein: the upper surface of the bottom plate (1) is fixedly connected with two wire guiding wheels (17), and the two wire guiding wheels (17) are respectively positioned below the water level monitoring cylinder (7) and the wire guiding pipe (3).
5. The big data debris flow early warning device according to claim 1, wherein: the buoyancy of the floating plate (9) is larger than the elastic force of the return spring (11), and the water level monitoring cylinder (7) is fixedly connected with the upper surface of the bottom plate (1) through a fixing column on the back surface of the water level monitoring cylinder.
6. The big data debris flow early warning device according to claim 1, wherein: the solar energy power generation panel (18) is arranged at the top of the alarm box (5), the storage battery (19) is arranged inside the alarm box (5), and the storage battery (19), the wireless signal transmitter (14), the wireless signal receiver (15) and the distance sensor (12) are all coupled with the control main board (13).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202021938023.4U CN213149957U (en) | 2020-09-08 | 2020-09-08 | Big data debris flow early warning ware |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202021938023.4U CN213149957U (en) | 2020-09-08 | 2020-09-08 | Big data debris flow early warning ware |
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| CN213149957U true CN213149957U (en) | 2021-05-07 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202021938023.4U Active CN213149957U (en) | 2020-09-08 | 2020-09-08 | Big data debris flow early warning ware |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113781747A (en) * | 2021-09-13 | 2021-12-10 | 浙江永欣联科信息科技股份有限公司 | Debris flow landslide disaster monitoring and early warning system and assessment method |
-
2020
- 2020-09-08 CN CN202021938023.4U patent/CN213149957U/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113781747A (en) * | 2021-09-13 | 2021-12-10 | 浙江永欣联科信息科技股份有限公司 | Debris flow landslide disaster monitoring and early warning system and assessment method |
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Effective date of registration: 20240103 Address after: Room 410-15, 4th Floor, Building 1, No. 9 Yongchang North Road, Beijing Economic and Technological Development Zone, Daxing District, Beijing, 100176 (cluster registration) Patentee after: Beijing Tuojing Technology Co.,Ltd. Address before: 550003 No.1, 15 / F, unit 1, building a, Jinli building, 89 Duyun Road, national high tech Industrial Development Zone, Guiyang City, Guizhou Province Patentee before: GUIZHOU TIANLUE INFORMATION TECHNOLOGY Co.,Ltd. |
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| TR01 | Transfer of patent right |