CN218634307U - Karst monitoring system that sinks based on wireless sensor network - Google Patents
Karst monitoring system that sinks based on wireless sensor network Download PDFInfo
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- CN218634307U CN218634307U CN202222388128.2U CN202222388128U CN218634307U CN 218634307 U CN218634307 U CN 218634307U CN 202222388128 U CN202222388128 U CN 202222388128U CN 218634307 U CN218634307 U CN 218634307U
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Abstract
The utility model relates to the technical field of monitoring systems, in particular to a karst collapse monitoring system based on a wireless sensor network; the system comprises a plurality of acquisition nodes, a coordination node, a cloud platform and a PC user side; the method comprises the steps that a collection node collects angle, magnetic force and acceleration information of an underground soil body; the coordination node receives and processes the information acquired by each acquisition node to obtain soil motion attitude information of the site where each acquisition node is located in the monitoring area, and transmits the information to the cloud platform; the cloud platform receives soil motion attitude information transmitted by the coordination node and induces and stores the soil motion attitude information; the PC user side obtains the motion attitude information of each acquisition node in the monitoring area from the cloud platform through an operator network, obtains the integral three-dimensional motion attitude information of the covering layer of the monitored area according to the obtained data analysis, obtains the early warning signal, can observe the motion state of the underground soil body in multiple aspects, accurately monitors the collapse precursor, and immediately obtains the early warning signal.
Description
Technical Field
The utility model relates to a monitoring system technical field especially relates to a karst monitoring system that sinks based on wireless sensor network.
Background
Karst collapse is one of main geological disasters in karst areas, is a result of comprehensive action of rocks, soil, water and human activities, forecasts karst collapse precursors in advance, has important significance in the prevention and treatment process of karst collapse geological disasters, and therefore needs to monitor rock and soil bodies in real time.
At present, most of monitoring aiming at rock-soil body deformation is carried out by adopting a geological radar method, and the principle is that in the process of underground propagation, electromagnetic waves touch an interface (namely a rock wall of a gap) of a medium and are reflected back to the ground, and the aim of detecting underground karst is achieved by detecting electromagnetic wave signals reflected by the rock wall.
However, by adopting the above mode, as the karst collapse occurs underground, the electromagnetic wave attenuation is fast when the geological radar is used for monitoring the aquifer, so that the monitoring effect cannot reflect the deformation condition of the rock-soil body faithfully, and the monitoring effect is insufficient.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a karst monitoring system that sinks based on wireless sensor network can accurately monitor the deformation condition of the ground body to the prevention karst sinks.
In order to achieve the purpose, the utility model provides a karst collapse monitoring system based on a wireless sensor network, which comprises a plurality of acquisition nodes, coordination nodes, a cloud platform and a PC user side;
the coordination node is respectively connected with the plurality of acquisition nodes, the cloud platform is connected with the coordination node, and the PC user side is connected with the cloud platform.
The acquisition node comprises a first control processing module, a sensing data acquisition module, a first data transceiver module and a first photovoltaic power supply module;
the first control processing module is respectively connected with the sensing data acquisition module, the first data transceiver module and the first photovoltaic power supply module, and the first data transceiver module is connected with the coordination node.
The first data transceiver module comprises a first ZigBee wireless communication unit and a first antenna;
the first ZigBee wireless communication unit is connected with the first control processing module, and the first antenna is connected with the first ZigBee wireless communication unit.
The coordination node comprises a second control processing module, a second data transceiver module and a second photovoltaic power supply module;
the second control processing module is respectively connected with the second data transceiver module and the second photovoltaic power supply module, and the second data transceiver module is connected with the first ZigBee wireless communication unit.
The second data transceiver module comprises a second ZigBee wireless communication unit, an NB-IoT wireless communication unit and a second antenna;
the second ZigBee wireless communication unit is respectively connected with the second control processing module and the first ZigBee wireless communication unit, and the NB-IoT wireless communication unit is respectively connected with the second control processing module and the cloud platform; the number of the second antennas is two, one of the second antennas is connected with the second ZigBee wireless communication unit, and the other second antenna is connected with the NB-IoT wireless communication unit.
The utility model discloses a karst collapse monitoring system based on wireless sensor network, the collection node adopts the single bus structure, and the looping shape is laid inside the regional soil body that awaits measuring of different degree of depth, latitude, gathers angle, magnetic force and the acceleration information of underground soil body to with the information transmission who gathers to coordination node; the coordination nodes adopt a single bus structure, are connected with all the acquisition nodes through a second ZigBee wireless communication unit to form a wireless sensor network, receive and process information acquired by all the acquisition nodes to obtain soil motion attitude information of the places where all the acquisition nodes are located in the monitoring area, and transmit the soil motion attitude information to the cloud platform; the cloud platform adopts a millet cloud platform, receives soil motion attitude information transmitted by the coordination nodes and induces and stores the soil motion attitude information; the PC user side acquires motion attitude information of each acquisition node in the monitoring area from the cloud platform through an operator network, performs comprehensive processing and analysis according to the acquired data to obtain the integral three-dimensional motion attitude information of a covering layer of the monitoring area, and obtains an early warning signal; by the mode, the karst collapse is monitored by acquiring and analyzing the instantaneous angle, the acceleration and the magnetic force signal of the covering soil body, the motion state of the underground soil body can be observed in many aspects, the collapse precursor is accurately monitored, and the early warning signal is obtained immediately.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
Fig. 1 is a schematic view of the overall structure of the present invention.
Fig. 2 is a schematic structural diagram of the collection node of the present invention.
Fig. 3 is a schematic structural diagram of the coordination node of the present invention.
Fig. 4 is a layout diagram of the present invention.
Fig. 5 is a schematic structural diagram of the sensing data acquisition module of the present invention.
Fig. 6 is a schematic structural diagram of a first control processing module according to the present invention.
Fig. 7 is a schematic structural diagram of the NB-IoT wireless communication unit of the present invention.
The system comprises 1-acquisition node, 2-coordination node, 3-cloud platform, 4-PC user side, 11-first control processing module, 12-sensing data acquisition module, 13-first data transceiver module, 14-first photovoltaic power supply module, 21-second control processing module, 22-second data transceiver module, 23-second photovoltaic power supply module, 131-first ZigBee wireless communication unit, 132-first antenna, 221-second ZigBee wireless communication unit, 222-NB-IoT wireless communication unit and 223-second antenna.
Detailed Description
Please refer to fig. 1-7, wherein, fig. 1 is the whole structure schematic diagram of the present invention, fig. 2 is the structure schematic diagram of the collection node of the present invention, fig. 3 is the structure schematic diagram of the coordination node of the present invention, fig. 4 is the layout schematic diagram of the present invention, fig. 5 is the structure schematic diagram of the sensing data collection module of the present invention, fig. 6 is the structure schematic diagram of the first control processing module of the present invention, fig. 7 is the structure schematic diagram of the NB-IoT wireless communication unit of the present invention.
The utility model provides a karst collapse monitoring system based on a wireless sensor network, which comprises a plurality of acquisition nodes 1, a coordination node 2, a cloud platform 3 and a PC user side 4; the acquisition node 1 comprises a first control processing module 11, a sensing data acquisition module 12, a first data transceiver module 13 and a first photovoltaic power supply module 14; the first data transceiver module 13 comprises a first ZigBee wireless communication unit 131 and a first antenna 132; the coordination node 2 comprises a second control processing module 21, a second data transceiver module 22 and a second photovoltaic power supply module 23; the second data transceiver module 22 comprises a second ZigBee wireless communication unit 221, an NB-IoT wireless communication unit 222 and a second antenna 223;
the problem that the monitoring effect of the existing rock and soil mass monitoring method is insufficient is solved through the scheme, and it can be understood that the scheme can reduce the laying difficulty, the laying cost and the maintenance difficulty of a monitoring system when the deformation condition of the rock and soil mass is monitored.
For the specific embodiment, the coordination node 2 is respectively connected with the plurality of acquisition nodes 1, the cloud platform 3 is connected with the coordination node 2, and the PC user side 4 is connected with the cloud platform 3. The acquisition nodes 1 are distributed in a ring-shaped manner inside soil bodies of areas to be detected at different depths and latitudes by adopting a single-bus structure, acquire angle, magnetic force and acceleration information of the underground soil bodies, and transmit the acquired information to the coordination nodes 2; the coordination node 2 is of a single-bus structure, is connected with each acquisition node 1 through a second ZigBee wireless communication unit 221 to form a wireless sensor network, receives and processes information acquired by each acquisition node 1 to obtain soil motion attitude information of the site where each acquisition node 1 is located in the monitoring area, and transmits the soil motion attitude information to the cloud platform 3; the cloud platform 3 adopts a millet cloud platform, receives the soil motion attitude information transmitted by the coordination node 2 and stores the soil motion attitude information in a summary manner; the PC user side 4 acquires the motion attitude information of each acquisition node 1 in the monitoring area from the cloud platform 3 through an operator network, performs comprehensive processing and analysis according to the acquired data to obtain the integral three-dimensional motion attitude information of a covering layer of the monitoring area, and obtains an early warning signal; by the mode, the karst collapse is monitored by acquiring and analyzing the instantaneous angle, the acceleration and the magnetic force signal of the covering soil body, the motion state of the underground soil body can be observed in many aspects, the collapse precursor is accurately monitored, and the early warning signal is obtained immediately.
The first control processing module 11 is respectively connected to the sensing data acquisition module 12, the first data transceiver module 13, and the first photovoltaic power supply module 14, and the first data transceiver module 13 is connected to the coordination node 2. The sensing data acquisition module 12 comprises a gyroscope, a magnetometer and an accelerometer, the sensing data acquisition module 12 adopts a data acquisition module based on an MEMS accelerometer MPU-6050, the MPU-6050 integrates a motion processing sensor chip, the MEMS accelerometer and the gyroscope into a whole, the cost is low, the size is small, the functions are multiple, when the gyroscope senses the motion of soil bodies near the position of the acquisition node 1, the first control processing module 11 is triggered and controlled to act, the acquisition node 1 starts to work, each sensor of the sensing data acquisition module 12 starts to acquire an instantaneous motion signal of the soil body in the area where the sensor is located, and the acquired signal is transmitted to the coordination node 2 through the first data transceiver module 13 after being processed by the first control processing module 11; the first control processing module 11 uses a wireless radio frequency system chip CC2530 as a control processor of the first control processing module, the radio frequency system chip CC2530 conforms to the ZigBee technology, the requirement of data receiving and sending can be met, a 51-single chip microcomputer kernel is integrated inside the first control processing module, and the requirement of the first control processing module 11 of the acquisition node 1 can be met; the first photovoltaic power supply module 14 supplies power to the whole collection node 1.
Next, the first ZigBee wireless communication unit 131 is connected to the first control processing module 11, and the first antenna 132 is connected to the first ZigBee wireless communication unit 131. After each sensor of the sensing data acquisition module 12 acquires the soil instantaneous motion signal of the area where the sensor is located, the acquired signal is processed by the first control processing module 11 and then transmitted to the coordination node 2 through the first ZigBee wireless communication unit 131.
Meanwhile, the second control processing module 21 is respectively connected with the second data transceiver module 22 and the second photovoltaic power supply module 23, and the second data transceiver module 22 is connected with the first ZigBee wireless communication unit 131.
In addition, the second data transceiver module 22 receives data wirelessly transmitted by the collection nodes 1 and transmits the data to the second control processing module 21, the second control processing module 21 processes the data transmitted by each collection node 1 to obtain movement posture information of a covering soil body of each collection node 1, and uploads the movement posture information to the cloud platform 3 through the second data transceiver module 22, and the second photovoltaic power supply module 23 supplies power to the whole coordination node 2; and the second control processing module 21 adopts a control processing module based on an STM32 series microprocessor.
Finally, the second ZigBee wireless communication unit 221 is connected to the second control processing module 21 and the first ZigBee wireless communication unit 131, and the NB-IoT wireless communication unit 222 is connected to the second control processing module 21 and the cloud platform 3; the number of the second antennas 223 is two, wherein one of the second antennas 223 is connected to the second ZigBee wireless communication unit 221, and the other second antenna 223 is connected to the NB-IoT wireless communication unit 222. The second ZigBee wireless communication unit 221 is connected to the first ZigBee wireless communication unit 131, receives data wirelessly transmitted by the collection nodes 1 and transmits the data to the second control processing module 21, and the second control processing module 21 processes the data transmitted by each collection node 1 to obtain movement posture information of a covering soil body of each collection node 1, and uploads the movement posture information to the cloud platform 3 through the second data transceiver module 22, wherein the NB-IoT wireless communication unit 222 adopts a BC95-B8 module, works at 900MHz, can be directly connected to an STM32 series microprocessor, does not need a special internet of things card, and can be used conveniently and rapidly by using a common mobile SIM card.
When the utility model is used for monitoring the rock-soil body, according to the Purchase natural balance arch theory, the karst collapse development mechanism and the actual geological condition of the monitoring area, the early warning threshold interface of the cave type karst collapse is obtained, as shown in figure 4 (in figure 4, A represents the other parts of the collection node 1 except the sensing data collection module 12, B represents the karst collapse monitoring early warning threshold interface, and C represents the cable connecting the sensing data collection module 12 and the first control processing module 11); according to the development mechanism and condition of karst collapse, the sensing data acquisition module 12 of the acquisition node 1 is arranged inside the soil body of the covering layer and on the early warning threshold interface so as to acquire three-dimensional motion attitude information of the soil body in the monitoring area. When the gyroscope of the sensing data acquisition module 12 of the acquisition node 1 senses the movement of the soil body, the acquisition node 1 starts to work, the gyroscope, the accelerometer and the magnetometer start to acquire signals, the acquired signals are transmitted to the first control processing module 11 located on the earth surface through cables, and the first control processing module 11 processes the acquired signals and then transmits the processed signals to the coordination node 2 through the first data transceiver module 13. In order to ensure the reliability and the life cycle of the monitoring system, the coordination node 2 is arranged in a stable structure area of the earth surface of the monitoring area, and after receiving the data transmitted by the acquisition nodes 1, the coordination node 2 analyzes the data to obtain the soil motion attitude information of each acquisition node 1, and uploads the soil motion attitude information to the cloud platform 3 through the NB-IoT wireless communication unit 222. The PC user side 4 acquires real-time motion attitude information of each acquisition node 1 summarized and stored on the cloud platform 3 through an operator network, comprehensively processes and analyzes the information through a processor of the PC user side to obtain three-dimensional soil motion attitude information of the whole monitoring area, and obtains occurrence probability and time of karst collapse to obtain an early warning signal. The utility model discloses a to the instantaneous angle of overburden soil body, acceleration, magnetic signal collection and analysis come to monitoring karst sinks, can many-sided observation underground soil body motion state, accurate monitoring is the precursor that sinks, obtains early warning signal immediately, the utility model discloses a sensing collection system volume is miniature, lay flexibility, cost reduction, operation intelligence, has reduced monitoring system lay the degree of difficulty, has laid the cost, has maintained the degree of difficulty, has promoted intelligent, the data pluralism of system.
While the above disclosure describes one or more preferred embodiments of the present invention, it is not intended to limit the scope of the claims to such embodiments, and one skilled in the art will understand that all or a portion of the processes performed in the above embodiments may be practiced without departing from the spirit and scope of the claims.
Claims (1)
1. A karst collapse monitoring system based on a wireless sensor network is characterized in that,
the system comprises a plurality of acquisition nodes, a coordination node, a cloud platform and a PC user side;
the coordination node is respectively connected with the plurality of acquisition nodes, the cloud platform is connected with the coordination node, and the PC user side is connected with the cloud platform;
the acquisition node comprises a first control processing module, a sensing data acquisition module, a first data transceiver module and a first photovoltaic power supply module;
the first control processing module is respectively connected with the sensing data acquisition module, the first data transceiver module and the first photovoltaic power supply module, and the first data transceiver module is connected with the coordination node;
the first data transceiver module comprises a first ZigBee wireless communication unit and a first antenna;
the first ZigBee wireless communication unit is connected with the first control processing module, and the first antenna is connected with the first ZigBee wireless communication unit;
the coordination node comprises a second control processing module, a second data transceiver module and a second photovoltaic power supply module;
the second control processing module is respectively connected with the second data transceiver module and the second photovoltaic power supply module, and the second data transceiver module is connected with the first ZigBee wireless communication unit;
the second data transceiver module comprises a second ZigBee wireless communication unit, an NB-IoT wireless communication unit and a second antenna;
the second ZigBee wireless communication unit is respectively connected with the second control processing module and the first ZigBee wireless communication unit, and the NB-IoT wireless communication unit is respectively connected with the second control processing module and the cloud platform; the number of the second antennas is two, one of the second antennas is connected with the second ZigBee wireless communication unit, and the other second antenna is connected with the NB-IoT wireless communication unit.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202222388128.2U CN218634307U (en) | 2022-09-06 | 2022-09-06 | Karst monitoring system that sinks based on wireless sensor network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202222388128.2U CN218634307U (en) | 2022-09-06 | 2022-09-06 | Karst monitoring system that sinks based on wireless sensor network |
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| CN218634307U true CN218634307U (en) | 2023-03-14 |
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| CN202222388128.2U Active CN218634307U (en) | 2022-09-06 | 2022-09-06 | Karst monitoring system that sinks based on wireless sensor network |
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- 2022-09-06 CN CN202222388128.2U patent/CN218634307U/en active Active
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