CN110660196A - High-steep karst mountain deformation monitoring device and method based on LoRa ad hoc network - Google Patents
High-steep karst mountain deformation monitoring device and method based on LoRa ad hoc network Download PDFInfo
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- CN110660196A CN110660196A CN201911165248.2A CN201911165248A CN110660196A CN 110660196 A CN110660196 A CN 110660196A CN 201911165248 A CN201911165248 A CN 201911165248A CN 110660196 A CN110660196 A CN 110660196A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
Abstract
The invention discloses a device and a method for monitoring deformation of a high-steep karst mountain based on a LoRa ad hoc network. The device includes: the monitoring unit, the data transmission unit, the data acquisition unit, the data processing unit and the alarm unit; the monitoring unit is used for monitoring the karst mountain; the data transmission unit is used for data transmission between the monitoring unit and the data acquisition unit; the data acquisition unit is used for acquiring summarized monitoring data; the data processing unit is used for carrying out data integration on the collected and summarized data; the alarm unit is used for receiving the control command sent by the data processing unit; the monitoring method comprises the following steps: data acquisition, data transmission, data processing, data analysis, control release and alarm execution. Through the organic integration of monitoring sensors on the high and steep karst mountain, the wireless ad hoc network based on the LoRa is constructed together, the real-time intelligent monitoring on the high and steep karst mountain is realized rapidly, the deformation area of the karst mountain is sensed, the movement trend is researched and judged, and the forecasting and early warning are realized.
Description
Technical Field
The invention relates to a mountain deformation monitoring device and method, in particular to a high-steep karst mountain deformation monitoring device and method based on a LoRa ad hoc network.
Background
In the southwest mountain area of China, a high-steep karst mountain is a common geological disaster and has the characteristics of burstiness, concealment, large disaster-causing influence and the like, the monitoring of the high-steep karst mountain at present mainly aims at the integrity of the high-steep karst mountain to monitor and control, monitoring equipment such as a crack meter, a ground surface displacement meter and the like is installed on the ground surface of the karst mountain, and the development condition and the disaster-causing process of the karst mountain are jointly researched and judged by utilizing collected monitoring data.
At the present stage, most of technical means for monitoring the karst are single monitoring technologies, for example, the tensile crack of the karst mountain can be dynamically monitored in real time through a crack meter, the three-dimensional displacement deformation of the ground surface of the karst mountain can be observed in real time through GNSS ground surface displacement monitoring equipment, and the inclination of the karst mountain and the acceleration change of a block are observed by using an inclination accelerometer, although the single monitoring technical means meet the overall monitoring requirement on the karst mountain, many problems can be encountered in the actual monitoring process, for example, the existing monitoring equipment has a relatively single function, and the data fusion and networking transmission of a plurality of monitoring data are not realized, and each monitoring equipment needs a data transmission card by the single monitoring technical means, and most importantly, the existing monitoring technology does not realize good data fusion transmission, and each monitoring device needs to transmit monitoring data to the background monitoring center, so that raw materials of instruments and cost of the communication card are wasted. Meanwhile, the deformation monitoring device has the problems of unstable system, unsmooth data acquisition, unsmooth information transmission, poor timeliness of data processing and analysis and the like in the deformation monitoring of the high and steep karst mountain body,
therefore, an ad hoc network deformation monitoring device with stable system, smooth data acquisition, fast data analysis, low power consumption and low cost is urgently needed.
Disclosure of Invention
The invention aims to provide an ad hoc network monitoring device with stable system, smooth data acquisition, fast data analysis, low power consumption and low cost, and adopts the following technical scheme:
a high and steep karst mountain deformation monitoring device based on a LoRa ad hoc network comprises a monitoring unit, a data transmission unit, a data acquisition unit, a data processing unit and an alarm unit;
the monitoring unit is used for carrying out overall control monitoring on the high and steep karst mountain;
the data transmission unit is connected with the monitoring unit and the data acquisition unit and is used for data transmission between the monitoring unit and the data acquisition unit;
the data acquisition unit is used for acquiring and summarizing the monitoring data of the monitoring unit;
the data processing unit is used for performing data integration on the monitoring data collected and gathered by the data collecting unit, processing and analyzing the data by combining the disaster forming characteristics and the pregnancy disaster mechanism of the high and steep karst mountain, rapidly studying and judging the deformation condition and the deformation trend of the karst mountain, and sending a control command signal to the alarm unit according to the preset early warning and forecasting grade;
and the alarm unit is used for receiving the control command signal sent by the data processing unit and issuing an alarm signal.
Further, the monitoring unit is a monitoring sensor deployed on a high-steepness karst mountain.
Further, the data transmission unit uses an LoRa gateway node to construct a sensor wireless ad hoc network for data intercommunication and intelligent control among the sensors.
Further, in the networking process of the LoRa gateway nodes, each gateway node is connected with one sensor, and a mesh topology structure is adopted among the gateway nodes.
Further, the mesh topology is a multipoint-to-multipoint topology, so that each gateway node can perform data transmission through the similar network nodes.
Further, the alarm signal is in the form of an audible and visual alarm.
A method for monitoring deformation of a high-steep karst mountain based on a LoRa ad hoc network comprises the following steps:
acquiring data, wherein the data is obtained by monitoring a high and steep karst mountain by the monitoring unit;
data transmission, transmitting the obtained data to the data processing unit through the data transmission unit;
data processing, namely performing integrated processing on the data received by the data processing unit;
data analysis, namely performing data analysis on the integrated processed data by combining disaster forming characteristics and pregnancy disaster mechanisms of karst mountains; comparing the data analysis result with preset data, and determining an early warning forecast grade according to the data comparison result;
the data processing unit sends a control command signal to the alarm unit according to the determined early warning forecast grade;
and alarm execution, wherein the alarm equipment receives and controls the release of an alarm signal and executes an alarm command.
The invention has the beneficial effects that:
through the organic integration of the monitoring sensors on the high and steep karst mountain bodies, the wireless ad hoc network based on LoRa is constructed together, the real-time intelligent monitoring on the high and steep karst mountain bodies can be realized quickly, the deformation area of a disaster body is sensed quickly, the movement trend of the karst mountain bodies is researched and judged quickly, and the quick forecasting and early warning on the karst mountain bodies are realized.
A multipoint-to-multipoint sensor network topological structure is constructed in karst mountain monitoring, a wireless sensor network can be formed among monitoring sensors, reliable and stable data transmission is facilitated, and installation cost and transmission cost of monitoring instruments are effectively saved.
Drawings
FIG. 1 is a schematic view of a deformation monitoring device
Fig. 2 is a schematic diagram of LoRa ad hoc network.
Detailed Description
Example 1
In this embodiment, the monitoring unit is mainly each sensor deployed on the high and steep karst mountain for on-site monitoring, and the main monitoring sensors include a rainfall monitoring sensor, a ground surface crack displacement sensor, an inclination angle sensor, an acceleration sensor, a vibration sensor and the like. The method mainly monitors the deformation condition and the crack deformation condition of the important deformation part of the karst mountain and the inclination angle and the acceleration deformation of the earth surface, and can carry out overall control monitoring on the karst mountain through monitoring. The data transmission unit selects a KT-F1278 self-organizing sensor network from wireless LoRa gateway node devices, and mainly monitors a multipoint-to-multipoint topological structure between sensors so as to realize mutual data transmission among the sensors and ensure the stability of data transmission. The data acquisition unit is a data gateway node, acquires monitoring data of each sensor through a KT-F1278 ad hoc sensor network, and transmits the monitoring data to the data processing unit, namely a data processing and analyzing device. The data processing and analyzing device carries out integrated processing on the monitoring data collected and summarized by the data collecting device, namely the data gateway node, and carries out data analysis by combining the disaster forming characteristics and the pregnancy disaster mechanism of the karst mountain; and comparing the data analysis result with preset data, and determining the early warning and forecasting grade according to the data comparison result. And the data processing and analyzing device issues an alarm control command to the alarm device according to the determined early warning forecast grade, and the alarm device gives an alarm in an acousto-optic alarm mode.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the technical scope of the present invention, so that any minor modifications, equivalent changes and modifications made to the above embodiment according to the technical spirit of the present invention are within the technical scope of the present invention.
Claims (7)
1. A high and steep karst mountain deformation monitoring device based on a LoRa ad hoc network is characterized by comprising a monitoring unit, a data transmission unit, a data acquisition unit, a data processing unit and an alarm unit;
the monitoring unit is used for carrying out overall control monitoring on the high and steep karst mountain;
the data transmission unit is connected with the monitoring unit and the data acquisition unit and is used for data transmission between the monitoring unit and the data acquisition unit;
the data acquisition unit is used for acquiring and summarizing the monitoring data of the monitoring unit;
the data processing unit is used for integrating the data collected and summarized by the data collecting unit, processing and analyzing the data by combining the disaster forming characteristics and the pregnancy disaster mechanism of the high and steep karst mountain, quickly studying and judging the deformation condition and the deformation trend of the karst mountain and sending a control command signal to the alarm unit according to the preset early warning and forecasting grade;
and the alarm unit is used for receiving the control command signal sent by the data processing unit and issuing an alarm signal.
2. The karst mountain deformation monitoring device of claim 1, wherein the monitoring unit is a monitoring sensor deployed on a high steep karst mountain.
3. The karst mountain deformation monitoring device of claim 2, wherein the data transmission unit uses LoRa gateway nodes to construct a sensor wireless ad hoc network for data intercommunication and intelligent control among the sensors.
4. The karst mountain deformation monitoring device of claim 3, wherein during networking of the LoRa gateway nodes, each gateway node is connected with one sensor, and a mesh topology structure is adopted among the gateway nodes.
5. The karst mountain deformation monitoring device of claim 4, wherein the mesh topology is a multipoint-to-multipoint topology, such that each gateway node can transmit data through neighboring network nodes.
6. The karst mountain deformation monitoring device of claim 1, wherein the alarm signal is in the form of an audible and visual alarm.
7. A method for monitoring deformation of a high-steep karst mountain based on a LoRa ad hoc network is characterized by comprising the following steps:
acquiring data, wherein the data is obtained by monitoring a high and steep karst mountain by the monitoring unit;
data transmission, transmitting the obtained data to the data processing unit through the data transmission unit;
data processing, namely performing integrated processing on the data received by the data processing unit;
data analysis, namely performing data analysis on the integrated processed data by combining disaster forming characteristics and pregnancy disaster mechanisms of karst mountains; comparing the data analysis result with preset data, and determining an early warning forecast grade according to the data comparison result;
the data processing unit sends a control command signal to the alarm unit according to the determined early warning forecast grade;
and alarm execution, wherein the alarm equipment receives and controls the release of an alarm signal and executes an alarm command.
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