CN112055070A - Wireless distributed geological disaster monitoring data acquisition system based on Internet of things - Google Patents

Wireless distributed geological disaster monitoring data acquisition system based on Internet of things Download PDF

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Publication number
CN112055070A
CN112055070A CN202010897399.3A CN202010897399A CN112055070A CN 112055070 A CN112055070 A CN 112055070A CN 202010897399 A CN202010897399 A CN 202010897399A CN 112055070 A CN112055070 A CN 112055070A
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module
data acquisition
internet
geological disaster
things
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CN112055070B (en
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林兴立
张世元
胡荣
卢祺焕
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Guangzhou Hannan Engineering Technology Co ltd
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Guangzhou Hannan Engineering Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/38Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A50/00TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather

Abstract

The invention relates to the field of geological disaster monitoring, and provides a wireless distributed geological disaster monitoring data acquisition system and method based on the Internet of things, which are used for solving the problem that geological disaster monitoring data are difficult to acquire. The invention provides a wireless distributed geological disaster monitoring data acquisition system based on the Internet of things, which comprises: a cloud server; the communication interface is connected with the cloud server; the communication service module is connected with the communication interface; the data acquisition module comprises a plurality of sensors and a field data acquisition terminal, the sensors are connected with the field data acquisition terminal, and the data acquisition module is connected with the communication service module. The data can be remotely acquired, effective monitoring on a plurality of bad geologic bodies is realized, and geological disasters on site are avoided.

Description

Wireless distributed geological disaster monitoring data acquisition system based on Internet of things
Technical Field
The invention relates to the field of geological disaster monitoring, in particular to a wireless distributed geological disaster monitoring data acquisition system based on the Internet of things.
Background
The deformation safety monitoring technology is a typical interdisciplinary and interdisciplinary technology, integrates knowledge of multiple disciplines such as civil engineering, mapping engineering, engineering geology and hydrogeology, geotechnical engineering and computer science, and is widely applied to multiple engineering fields such as geotechnical engineering (foundation pit engineering, slope engineering and soft soil foundation treatment engineering), geological engineering (geological disasters such as landslide, collapse and ground subsidence), structural engineering (buildings, structures, tunnels and the like). The method aims to know the change development process of a monitored object and analyze the safety state (stability) of the monitored object by measuring engineering physical quantities such as displacement, inclination, stress, seepage and the like of engineering objects such as rock and soil masses, structures and the like and surrounding environments of the engineering objects in a multi-period manner, provide safety early warning and provide data support for engineering design and construction.
Although the technical requirements for deformation safety monitoring are different in the above-mentioned engineering fields, the basic method for deformation safety monitoring is general. Currently, common deformation safety monitoring methods include a monitoring and measuring method using instruments and equipment such as a total station, a level, three-dimensional laser scanning and the like, a camera, an unmanned aerial vehicle three-dimensional camera shooting method, a GPS satellite positioning-based measuring method and the like. However, data acquisition and post-processing of these means rely on manual operation, and the method has long field work time, huge field data processing workload and low efficiency, and further cannot meet the requirements of long-term, high monitoring frequency, data analysis, early warning timeliness and the like in part of engineering fields (such as geological disasters). The existing automatic monitoring method based on GNSS positioning has the defects of large volume of front-end equipment, high cost, inflexible deployment (having requirements on top clearance, power supply, communication, lightning protection and the like), insufficient precision, single measurement factor and the like.
At present, a part of automatic monitoring systems based on sensors are arranged, a front-end data acquisition part and a back-end data processing server need to be connected through a private network, and the structure hardware has high cost, large construction engineering quantity and inflexible deployment. In addition, the existing automatic monitoring system generally has different types of self-formed systems of front-end data acquisition equipment and back-end data processing software (the systems cannot be compatible with each other, the integration difficulty is high, and the reliability is poor), and the back-end data processing software cannot realize the business functions of data visualization, linkage early warning, automatic reporting and the like according to the requirements of industrial specifications.
How to realize the effective collection of the field data is a technical problem to be solved urgently.
Disclosure of Invention
The invention solves the technical problem that acquisition of geological disaster monitoring data is difficult, and provides a wireless distributed geological disaster monitoring data acquisition system based on the Internet of things.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
wireless distributed geological disaster monitoring data acquisition system based on thing networking includes:
a cloud server;
the communication interface is connected with the cloud server;
the communication service module is connected with the communication interface;
the data acquisition module comprises a plurality of sensors and a field data acquisition terminal, the sensors are connected with the field data acquisition terminal, and the data acquisition module is connected with the communication service module.
The data acquisition module transmits the field data to the communication service module, and the communication service module transmits the field data to the superior cloud platform; the communication service module can also obtain instructions from a superior cloud platform, so that data acquisition can be controlled remotely.
The data can be remotely acquired, effective monitoring on a plurality of bad geologic bodies is realized, and geological disasters on site are avoided.
Preferably, the communication service module includes:
the data acquisition module is connected with the equipment connection management module;
and the equipment connection management module is connected with the processing module, and the processing module is connected with the communication interface. The processing module processes the acquired data and transmits the processed data to the cloud platform, and the equipment connection management module is connected with the field equipment to control the equipment.
Preferably, the device connection management module includes:
the device list establishing module is connected with the data acquisition module, receives login, registration and heartbeat instructions sent by the data acquisition module, analyzes the instructions to obtain identity information of the data acquisition terminal and public network IP address and port number information, and establishes a device address list;
the device list maintenance module is connected with the device list building module and judges whether the field data acquisition terminal is on line, whether an IP address is changed, whether data is returned and other information;
the issuing module is connected with the processing module, the issuing module is connected with the equipment list maintenance module, and the issuing module receives an instruction from the processing module and sends the instruction to the corresponding data acquisition module according to the equipment address list. The device list establishing module establishes a list of addresses where the devices are located, the device list maintaining module maintains the device address list, and the issuing module transmits instructions to the field devices.
Preferably, the processing module comprises:
the time queue establishing module is connected with the communication interface, receives a data acquisition instruction from a cloud server through the communication interface, establishes a time queue for the received data acquisition instruction and transmits the time queue to the equipment connection management module. The time queue establishing module establishes a time queue and sequentially sends out one or more batches of data acquisition instructions.
Preferably, the processing module comprises:
the statistics processing module is connected with the data acquisition module, and the statistics processing module comprises:
the preprocessing module is used for preprocessing the data acquired by the data acquisition module, and comprises but is not limited to averaging, median taking, low-pass filtering, Gaussian filtering and Kalman filtering of multiple continuous batches of data of the same equipment;
and the data primary processing module is connected with the preprocessing module and is used for further processing the preprocessed data to obtain a primary calculation result. The statistical processing module processes the data to obtain data with low noise, and calculates available data according to the data after noise reduction.
Preferably, the processing module comprises:
and the alarm module counts the times of data not replied by the sensor, and sends alarm information after the times exceed a preset threshold value.
Preferably, the data acquisition module further includes a power supply module, the power supply module includes:
a solar panel that converts solar energy into electrical energy;
a support for supporting a solar panel;
the controller is used for controlling the operation of the power supply module;
the output module is used for outputting electric energy, the solar panel is connected with the bracket, the controller is connected with the solar panel,
the solar panel is connected with the support, the controller is electrically connected with the solar panel, and the output module is electrically connected with the controller.
Preferably, the controller is electrically connected with a lithium battery pack, the lithium battery pack is electrically connected with the output module, and the lithium battery pack is electrically connected with the coulometer;
the controller, the output module, the coulometer and the lithium battery pack are integrated in a distribution box, a box body of the distribution box is a waterproof box body, and the distribution box is detachably connected with the support.
Preferably, the sensor comprises a pressure-sensitive hydrostatic level;
the plurality of static levels are erected on a bad geological body and connected through a transmission pipeline, the transmission pipeline comprises a water conveying pipe, a gas conveying pipe and a cable, two ends of the water conveying pipe are connected with a water storage tank, one end of the gas conveying pipe is closed, the other end of the gas conveying pipe is connected with a gas source, the plurality of static levels are communicated through the water conveying pipe and the gas conveying pipe, and the plurality of static levels are electrically connected through the cable;
and the static level gauge is connected with the field data acquisition terminal.
Preferably, the sensor comprises a tilt sensor;
the inclination angle sensor is connected with a fixed rod, and the tail end of the fixed rod penetrates through the potential slip surface.
Compared with the prior art, the invention has the beneficial effects that: the data can be remotely acquired, effective monitoring on a plurality of bad geologic bodies is realized, and geological disasters on site are avoided.
Through the data acquisition system architecture, all common physical sensors which are deployed on a geological disaster site and can be independently addressed form an interconnected network, and through an innovative equipment site deployment method, a power supply method and wireless communication networking, the acquisition difficulty of geological disaster site monitoring data is greatly reduced, the accumulation quantity of the monitoring data is increased through real-time data acquisition, and sufficient data resources are provided for subsequent analysis. And the precision of the measurement result is improved through various filtering modes.
Drawings
Fig. 1 is a schematic diagram of a wireless distributed geological disaster monitoring data acquisition system based on the internet of things.
Fig. 2 is a schematic diagram of a power supply module.
Fig. 3 is a schematic view of a static pressure level.
Fig. 4 is a schematic view of a tilt sensor.
Detailed Description
The following examples are further illustrative of the present invention and are not intended to be limiting thereof.
Example 1
Wireless distributed geological disaster monitoring data acquisition system based on Internet of things comprises, in some embodiments of the application:
a cloud server;
the communication interface is connected with the cloud server;
the communication service module is connected with the communication interface;
the data acquisition module comprises a plurality of sensors and a field data acquisition terminal, the sensors are connected with the field data acquisition terminal, and the data acquisition module is connected with the communication service module.
The data acquisition module transmits the field data to the communication service module, and the communication service module transmits the field data to the superior cloud platform; the communication service module can also obtain instructions from a superior cloud platform, so that data acquisition can be controlled remotely.
The data can be remotely acquired, effective monitoring on a plurality of bad geologic bodies is realized, and geological disasters on site are avoided.
In some embodiments of the present application, the communication service module comprises:
the data acquisition module is connected with the equipment connection management module;
and the equipment connection management module is connected with the processing module, and the processing module is connected with the communication interface.
The processing module processes the acquired data and transmits the processed data to the cloud platform, and the equipment connection management module is connected with the field equipment to control the equipment.
In some embodiments of the present application, the device connection management module comprises:
the device list establishing module is connected with the data acquisition module, receives login, registration and heartbeat instructions sent by the data acquisition module, analyzes the instructions to obtain identity information of the data acquisition terminal and public network IP address and port number information, and establishes a device address list;
the device list maintenance module is connected with the device list building module and judges whether the field data acquisition terminal is on line, whether an IP address is changed, whether data is returned and other information;
the issuing module is connected with the processing module, the issuing module is connected with the equipment list maintenance module, and the issuing module receives an instruction from the processing module and sends the instruction to the corresponding data acquisition module according to the equipment address list.
The device list establishing module establishes a list of addresses where the devices are located, the device list maintaining module maintains the device address list, and the issuing module transmits instructions to the field devices.
In some embodiments of the present application, the processing module comprises:
the time queue establishing module is connected with the communication interface, receives a data acquisition instruction from a cloud server through the communication interface, establishes a time queue for the received data acquisition instruction and transmits the time queue to the equipment connection management module.
Further, in some embodiments of the present application, the processing module comprises:
the statistics processing module is connected with the data acquisition module, and the statistics processing module comprises:
the preprocessing module is used for preprocessing the data acquired by the data acquisition module, and comprises but is not limited to averaging, median taking, low-pass filtering, Gaussian filtering and Kalman filtering of multiple continuous batches of data of the same equipment;
and the data primary processing module is connected with the preprocessing module and is used for further processing the preprocessed data to obtain a primary calculation result.
Further, in some embodiments of the present application, the processing module comprises:
and the alarm module counts the times of data not replied by the sensor, and sends alarm information after the times exceed a preset threshold value.
The time queue establishing module establishes a time queue and sequentially sends out one or more batches of data acquisition instructions. The statistical processing module processes the data to obtain data with low noise, and calculates available data according to the data after noise reduction.
In some embodiments of the present application, the data acquisition module further comprises a power supply module, the power supply module comprising:
a solar panel that converts solar energy into electrical energy;
a support for supporting a solar panel;
the controller is used for controlling the operation of the power supply module;
the output module is used for outputting electric energy, the solar panel is connected with the bracket, the controller is connected with the solar panel,
the solar panel is connected with the support, the controller is electrically connected with the solar panel, and the output module is electrically connected with the controller.
The controller is electrically connected with the lithium battery pack, the lithium battery pack is electrically connected with the output module, and the lithium battery pack is electrically connected with the coulometer;
the controller, the output module, the coulometer and the lithium battery pack are integrated in a distribution box, a box body of the distribution box is a waterproof box body, and the distribution box is detachably connected with the support.
The solar power supply can ensure stable power supply; the voltage is output in a constant voltage mode, so that the continuity and stability of data acquisition are ensured; compared with the existing lead-acid storage battery pack with the same volume, the lithium-acid storage battery pack has higher energy, lighter mass and lower self-power consumption.
In some embodiments of the present application, the sensor is used for measuring one or more of inclination, crack width, displacement, stress, strain, internal force, water level, displacement, osmotic pressure, and rainfall.
The probability of occurrence of geological disaster risks caused by instability of the unfavorable geologic body can be evaluated through various parameters, and the unfavorable geologic body needs to be processed when the risks are larger than a certain value, so that disasters are avoided.
In some embodiments of the present application, the sensor comprises a pressure-sensitive hydrostatic level;
the static levels 1 are erected on poor geological bodies, the static levels 1 are connected through a transmission pipeline, the transmission pipeline comprises a water conveying pipe 22, a gas conveying pipe 23 and a cable 21, two ends of the water conveying pipe 22 are connected with a water storage tank 3, one end of the gas conveying pipe 23 is sealed by a plug 231, the other end of the gas conveying pipe 23 is connected with an air source 4, the static levels 1 are communicated through the water conveying pipe 22 and the gas conveying pipe 23, and the static levels 1 are electrically connected through the cable 21;
and the static level gauge 1 is connected with the field data acquisition terminal 5.
The static level can accurately detect the micro-deformation data, and the inventor finds that the deformation data measured by the static level can accurately evaluate the state of the unfavorable geologic body in years of unfavorable geologic body treatment work.
In some embodiments of the present application, the sensors include a tilt sensor 6;
the tilt sensor 6 is connected with a fixed rod 7, and the tail end of the fixed rod 7 penetrates through a potential slip surface.
Example 2
A data acquisition method for online monitoring of the Internet of things comprises the following steps:
s10, transmitting the acquired data to a field data acquisition terminal by a plurality of sensors of the data acquisition module;
and S20, transmitting data to the communication service module by the field data acquisition terminal of the data acquisition module.
And S30, the communication service module transmits the data to the cloud platform through the communication interface.
The above detailed description is specific to possible embodiments of the present invention, and the above embodiments are not intended to limit the scope of the present invention, and all equivalent implementations or modifications that do not depart from the scope of the present invention should be included in the present claims.

Claims (10)

1. Wireless distributed geological disaster monitoring data acquisition system based on Internet of things is characterized by comprising:
a cloud server;
the communication interface is connected with the cloud server;
the communication service module is connected with the communication interface;
the data acquisition module comprises a plurality of sensors and a field data acquisition terminal, the sensors are connected with the field data acquisition terminal, and the data acquisition module is connected with the communication service module.
2. The internet of things-based wireless distributed geological disaster monitoring data collection system according to claim 1, wherein said communication service module comprises:
the data acquisition module is connected with the equipment connection management module;
and the equipment connection management module is connected with the processing module, and the processing module is connected with the communication interface.
3. The internet of things-based wireless distributed geological disaster monitoring data collection system according to claim 2, wherein said equipment connection management module comprises:
the device list establishing module is connected with the data acquisition module, receives login, registration and heartbeat instructions sent by the data acquisition module, analyzes the instructions to obtain identity information of the data acquisition terminal and public network IP address and port number information, and establishes a device address list;
the device list maintenance module is connected with the device list building module and judges whether the field data acquisition terminal is on line, whether an IP address is changed, whether data is returned and other information;
the issuing module is connected with the processing module, the issuing module is connected with the equipment list maintenance module, and the issuing module receives an instruction from the processing module and sends the instruction to the corresponding data acquisition module according to the equipment address list.
4. The internet of things based wireless distributed geological disaster monitoring data collection system according to claim 1, wherein said processing module comprises:
the time queue establishing module is connected with the communication interface, receives a data acquisition instruction from a cloud server through the communication interface, establishes a time queue for the received data acquisition instruction and transmits the time queue to the equipment connection management module.
5. The internet of things based wireless distributed geological disaster monitoring data collection system according to claim 1, wherein said processing module comprises:
the statistics processing module is connected with the data acquisition module, and the statistics processing module comprises:
the preprocessing module is used for preprocessing the data acquired by the data acquisition module, and comprises but is not limited to averaging, median taking, low-pass filtering, Gaussian filtering and Kalman filtering of multiple continuous batches of data of the same equipment;
and the data primary processing module is connected with the preprocessing module and is used for further processing the preprocessed data to obtain a primary calculation result.
6. The internet of things based wireless distributed geological disaster monitoring data collection system according to claim 1, wherein said processing module comprises:
and the alarm module counts the times of data not replied by the sensor, and sends alarm information after the times exceed a preset threshold value.
7. The internet of things-based wireless distributed geological disaster monitoring data collection system according to claim 1, wherein said data collection module further comprises a power supply module, said power supply module comprising:
a solar panel that converts solar energy into electrical energy;
a support for supporting a solar panel;
the controller is used for controlling the operation of the power supply module;
the output module is used for outputting electric energy, the solar panel is connected with the bracket, the controller is connected with the solar panel,
the solar panel is connected with the support, the controller is electrically connected with the solar panel, and the output module is electrically connected with the controller.
8. The internet-of-things-based wireless distributed geological disaster monitoring data acquisition system of claim 1, wherein the controller is electrically connected to a lithium battery pack, the lithium battery pack is electrically connected to the output module, and the lithium battery pack is electrically connected to a coulometer;
the controller, the output module, the coulometer and the lithium battery pack are integrated in a distribution box, a box body of the distribution box is a waterproof box body, and the distribution box is detachably connected with the support.
9. The internet of things based wireless distributed geological disaster monitoring data collection system of claim 1, wherein said sensor comprises a pressure-sensitive hydrostatic level;
the plurality of static levels are erected on a bad geological body and connected through a transmission pipeline, the transmission pipeline comprises a water conveying pipe, a gas conveying pipe and a cable, two ends of the water conveying pipe are connected with a water storage tank, one end of the gas conveying pipe is closed, the other end of the gas conveying pipe is connected with a gas source, the plurality of static levels are communicated through the water conveying pipe and the gas conveying pipe, and the plurality of static levels are electrically connected through the cable;
and the static level gauge is connected with the field data acquisition terminal.
10. The internet of things based wireless distributed geological disaster monitoring data collection system of claim 1, wherein said sensor comprises a tilt sensor;
the inclination angle sensor is connected with a fixed rod, and the tail end of the fixed rod penetrates through the potential slip surface.
CN202010897399.3A 2020-08-31 2020-08-31 Wireless distributed geological disaster monitoring data acquisition system based on Internet of things Active CN112055070B (en)

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