CN117198004B - Ground disaster automatic monitoring equipment linkage early warning technology based on intelligent internet of things cradle head - Google Patents
Ground disaster automatic monitoring equipment linkage early warning technology based on intelligent internet of things cradle head Download PDFInfo
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Abstract
The invention relates to the technical field of monitoring and early warning, and discloses a ground disaster automatic monitoring equipment linkage early warning technology based on an intelligent internet of things holder, which comprises that each monitoring point in a monitoring area is provided with a data acquisition device, the data acquisition device is uniformly connected to the intelligent internet of things holder through a plurality of communication protocols, and the intelligent internet of things holder generates an installation distribution diagram of each data acquisition device; triggering early warning by the data acquisition equipment, and synchronously sending out early warning signals to form early warning equipment; according to the installation distribution diagram, the intelligent internet of things cloud deck marks data acquisition equipment in a set range around the early warning equipment as adjacent equipment, the intelligent internet of things cloud deck sets encryption acquisition frequency of each adjacent equipment and sends an instruction to the adjacent equipment, and the adjacent equipment receives the instruction and then carries out encryption acquisition; and issuing a forecast notice and an emergency response instruction through a research result of linkage early warning research, and finally completing monitoring data analysis and recording.
Description
Technical Field
The invention relates to the technical field of monitoring and early warning, in particular to a ground disaster automatic monitoring equipment linkage early warning technology based on an intelligent internet of things cradle head.
Background
At present, the geological disaster monitoring and early warning work generally collects deformation data and induction factor information of potential geological disasters such as landslide, collapse, dangerous rock, debris flow and the like on the ground surface and the ground in real time through application of data acquisition equipment (monitoring equipment), so that the stable state and the change trend of potential geological disaster hidden danger points can be effectively mastered, the data acquired by the data acquisition equipment are comprehensively analyzed, an early warning threshold value is set, once the data exceeds the threshold value to trigger an alarm, the alarm information is uploaded to a platform, and an instruction is issued through the platform, so that early warning and forecasting are completed.
In the prior art, the main problems of the early warning and forecasting mode are as follows: each data acquisition device is an independent acquisition parameter, the sampling parameters are uploaded independently, the correlation among multiple types of data acquisition devices at the same geological disaster hidden danger point is lacked, the criteria for geological disaster monitoring and early warning are not obvious and accurate, and the geological disaster monitoring and early warning work efficiency is affected.
The natural disaster prevention and control work has entered a stage of transition from coping with a single disaster species to comprehensive disaster reduction. The improvement of the monitoring level of geological disasters requires the combination of various types and professionals of monitoring equipment and a more accurate monitoring and early warning method.
Disclosure of Invention
The invention aims to provide a ground disaster automatic monitoring equipment linkage early warning technology based on an intelligent internet of things holder, and aims to solve the problems that in the prior art, correlation among multiple types of data acquisition data of the same geological disaster hidden danger point is lacking, and criteria for geological disaster monitoring early warning are not obvious and accurate.
The invention is realized in such a way that the ground disaster automatic monitoring equipment linkage early warning technology based on the intelligent internet of things cradle head comprises the following steps:
1) Data acquisition equipment is installed at each monitoring point in the monitoring area, the data acquisition equipment is uniformly connected to an intelligent internet of things cloud deck through a plurality of communication protocols, and the intelligent internet of things cloud deck generates an installation distribution diagram of each data acquisition equipment in the monitoring area;
The data acquisition equipment is used for acquiring field monitoring data of a monitoring area, the data acquisition equipment transmits the field monitoring data to the intelligent internet of things holder, and when the intelligent internet of things holder judges abnormal field monitoring data, the corresponding data acquisition equipment triggers early warning to form early warning equipment; according to the installation distribution diagram, the intelligent internet of things cloud deck marks data acquisition equipment in a preset range around the early warning equipment as adjacent equipment, the intelligent internet of things cloud deck sets encryption acquisition frequency of each adjacent equipment and sends an instruction to the adjacent equipment, and the adjacent equipment receives the instruction and then carries out encryption acquisition;
2) The intelligent internet of things cradle head judges the site early warning grade through abnormal site monitoring data; carrying out linkage early warning research and judgment according to the number, position information and site early warning grade of the early warning equipment, and judging the linkage early warning grade;
3) And issuing a forecast notice and an emergency response instruction through a research result of linkage early warning research and judgment, and finally completing monitoring data analysis and recording.
Optionally, the data acquisition device includes, but is not limited to, a GNSS earth surface displacement monitoring device, a soil moisture content monitor, a multiparameter deformation monitor, a rain gauge, a soil pressure gauge, a deep displacement monitor.
Optionally, the plurality of communication protocols includes, but is not limited to, a LoRa communication protocol, an MQTT communication protocol, or an NB communication protocol.
Optionally, in the step 1), the setting range is between 0 and 5 km.
Optionally, in the step 1), an early warning threshold is set in the intelligent internet of things holder, the intelligent internet of things holder analyzes the collected field monitoring data to obtain an analysis result, and the analysis result is compared with the early warning threshold to determine whether the current field monitoring data is abnormal or not;
And when the analysis result exceeds the early warning threshold value, judging the abnormal on-site monitoring data, and triggering the early warning by the data acquisition equipment.
Optionally, the early warning threshold includes a first threshold, a second threshold, a third threshold and a fourth threshold, where the first threshold, the second threshold, the third threshold and the fourth threshold are sequentially arranged from low to high; the on-site early warning level comprises a first early warning level, a second early warning level, a third early warning level and a fourth early warning level, and the first early warning level, the second early warning level, the third early warning level and the fourth early warning level are sequentially arranged from high to low.
Optionally, in the step 2), the linkage early warning and studying and judging method includes the following judging method:
the number of the early warning devices is two, and when one early warning device is positioned in the set range of the other early warning device according to the installation distribution diagram, the linkage early warning level is increased by one level on the basis of platform early warning; the platform early warning basis is the first site early warning level judged;
The number of the early warning devices is two, and when any one early warning device is not located in the set range of the other early warning device according to the installation distribution diagram, the linkage early warning level is the highest level of the two determined site early warning levels;
When the number of the early warning devices is three or more, and any one early warning device is positioned in the set range of one early warning device according to the installation distribution diagram, the linkage early warning level is a first early warning level;
When the number of the early warning devices is three or more, and any early warning device is not located in the set range of any early warning device according to the installation distribution diagram, the linkage early warning level is increased by one level on the basis of platform early warning; the platform early warning basis is the first site early warning level judged.
Optionally, the early warning device collects field monitoring data once at a first set time interval, the adjacent device collects field monitoring data once at a second set time interval, and the data collection device collects field monitoring data once at a third set time interval under the condition of no abnormal field monitoring data;
The time length of the third set time is longer than that of the second set time, and the time length of the second set time is longer than that of the first set time.
Optionally, the intelligent internet of things cloud platform comprises a control center, wherein the control center is loaded with the intelligent internet of things cloud platform and is provided with a display screen, and the display screen is used for displaying on-site monitoring data, abnormal on-site monitoring data, on-site early warning levels, linkage early warning levels and parameters of data acquisition equipment.
Compared with the prior art, the ground disaster automatic monitoring equipment linkage early warning technology based on the intelligent internet of things cloud deck has the advantages that when one data acquisition equipment detects abnormal field monitoring data, the data acquisition equipment early warning is formed when the hidden danger point monitoring points are in early warning, the data acquisition equipment in a certain range around the intelligent internet of things cloud deck is awakened to enter a vigilant state, the data acquisition equipment in the vigilant state encrypts acquisition frequency, the early warning and early judging linkage early warning grade is linked according to the early warning number of the data acquisition equipment, the position relation among the early warning equipment and the field early warning grade of the early warning equipment, and finally, monitoring data analysis and recording are completed according to the early warning and early warning result, so that the various data acquisition equipment is combined, the various data acquisition equipment in the geological disaster hidden danger point field is made into a tighter organic whole, and the remote control center provided with the intelligent internet of things cloud deck is endowed with the capability of actively coping with the situation of the change of the monitoring area, and the accuracy of disaster occurrence is effectively improved.
Drawings
FIG. 1 is a schematic diagram of a ground disaster automatic monitoring equipment linkage early warning technology based on an intelligent Internet of things cradle head;
FIG. 2 is a schematic flow chart of a ground disaster automatic monitoring equipment linkage early warning technology based on an intelligent Internet of things cradle head;
fig. 3 is a schematic implementation diagram of a ground disaster automatic monitoring equipment linkage early warning technology based on an intelligent internet of things cradle head.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The implementation of the present invention will be described in detail below with reference to specific embodiments.
The same or similar reference numerals in the drawings of the present embodiment correspond to the same or similar components; in the description of the present invention, it should be understood that, if there is an azimuth or positional relationship indicated by terms such as "upper", "lower", "left", "right", etc., based on the azimuth or positional relationship shown in the drawings, it is only for convenience of describing the present invention and simplifying the description, but it is not indicated or implied that the apparatus or element referred to must have a specific azimuth, be constructed and operated in a specific azimuth, and thus terms describing the positional relationship in the drawings are merely illustrative and should not be construed as limiting the present invention, and specific meanings of the terms described above may be understood by those of ordinary skill in the art according to specific circumstances.
Referring to fig. 1-3, a preferred embodiment of the present invention is provided.
The invention provides a ground disaster automatic monitoring equipment linkage early warning technology based on an intelligent internet of things holder, which comprises the following steps:
1) The intelligent internet of things cloud platform is connected with the monitoring points in the monitoring area through a plurality of communication protocols in a unified mode, and generates an installation distribution diagram of each data acquisition device in the monitoring area;
The data acquisition equipment is used for acquiring field monitoring data of the monitoring area, transmitting the field monitoring data to the intelligent internet of things holder, and triggering early warning by the corresponding data acquisition equipment when the intelligent internet of things holder judges abnormal field monitoring data to form early warning equipment; according to the installation distribution diagram, the intelligent internet of things cloud deck marks data acquisition equipment in a set range around the early warning equipment as adjacent equipment, the intelligent internet of things cloud deck sets encryption acquisition frequency of each adjacent equipment and sends an instruction to the adjacent equipment, and the adjacent equipment receives the instruction and then carries out encryption acquisition;
2) Judging the site early warning level by the intelligent internet of things cradle head through abnormal site monitoring data; carrying out linkage early warning research and judgment according to the number, position information and site early warning grade of the early warning equipment, and judging the linkage early warning grade;
3) And issuing a forecast notice and an emergency response instruction through a research result of linkage early warning research and judgment, and finally completing monitoring data analysis and recording.
According to the ground disaster automatic monitoring equipment linkage early warning technology based on the intelligent internet of things cloud deck, when one data acquisition equipment detects abnormal field monitoring data, the data acquisition equipment early warning is carried out at the hidden danger point monitoring point to form early warning equipment, the data acquisition equipment in a certain range around the intelligent internet of things cloud deck is awakened to enter a vigilance state, the data acquisition equipment in the vigilance state encrypts and acquires frequency, the linkage early warning is carried out along with the change of possible hidden danger points, the linkage early warning grade is judged according to the early warning number of the data acquisition equipment, the position relation among the early warning equipment and the field early warning grade of the early warning equipment, the prediction notification and the emergency response instruction are issued according to the research judgment result, and finally, the monitoring data analysis and recording are completed, so that various data acquisition equipment are combined, the field data acquisition equipment of various types of geological disaster points becomes a tighter organic whole, and the remote control center provided with the intelligent internet of things cloud deck actively handles the situation of change of the monitoring area, and the accuracy of disaster occurrence is effectively improved.
The data acquisition devices include, but are not limited to, a GNSS surface displacement monitoring device 100, a soil moisture content monitor 200, a multi-parameter deformation monitor 300, a rain gauge 400, a soil pressure gauge 500, a deep displacement monitor 600. Thus, the on-site multi-source data of the hidden danger points of the geological disasters can be acquired in real time.
Specifically, the data acquisition equipment is accessed into the intelligent internet of things holder through LoRa, MQTT, NB and other standardized communication protocols, so that the data real-time docking is realized.
The intelligent internet of things holder is suitable for various communication protocols and access protocols, and can be rapidly accessed into various manufacturers and various types of internet of things monitoring equipment.
In step 1), the setting range is between 0-5 km. Thus, this range is set according to the actual situation of the hidden trouble point.
Specifically, in step 1), an early warning threshold is set in the intelligent internet of things holder, the intelligent internet of things holder analyzes the collected field monitoring data to obtain an analysis result, and whether the current field monitoring data is abnormal or not is judged by comparing the analysis result with the early warning threshold;
When the analysis result exceeds the early warning threshold value, the abnormal on-site monitoring data is judged, and the data acquisition equipment triggers early warning.
Specifically, the early warning threshold comprises a first threshold, a second threshold, a third threshold and a fourth threshold, and the first threshold, the second threshold, the third threshold and the fourth threshold are sequentially arranged from low to high; the on-site early warning level comprises a first early warning level, a second early warning level, a third early warning level and a fourth early warning level, and the first early warning level, the second early warning level, the third early warning level and the fourth early warning level are sequentially arranged from high to low. In this way, by which section of the first, second, third, and fourth threshold values is exceeded, it is determined which level the on-site warning level is.
In the step 2), the linkage early warning research and judgment comprises the following judgment methods:
The number of the early warning devices is two, and when one early warning device is positioned in the set range of the other early warning device according to the installation distribution diagram, the linkage early warning level is increased by one level on the basis of platform early warning; the platform early warning basis is the first site early warning level judged;
The number of the early warning devices is two, and when any one early warning device is not located in the set range of the other early warning device according to the installation distribution diagram, the linkage early warning level is the highest level of the two determined site early warning levels;
When the number of the early warning devices is three or more, and any early warning device is positioned in the set range of one early warning device according to the installation distribution diagram, the linkage early warning level is a first early warning level;
When the number of the early warning devices is three or more, and any early warning device is not located in the set range of any early warning device according to the installation distribution diagram, the linkage early warning level is increased by one level on the basis of platform early warning; the platform early warning basis is the first site early warning grade determined.
In other words, the neighboring device is the one when within the set range: namely (1) two adjacent devices give an alarm at the same time, and the stage is improved on the basis of platform early warning; (2) Two non-adjacent devices alarm simultaneously, and the device with the highest early warning level on the platform is taken as the early warning level; (3) Three or more adjacent devices simultaneously give an alarm, and the early warning level is directly the highest level; (4) Three or more non-adjacent devices simultaneously give an alarm, and the stage is improved on the basis of platform early warning;
when a single data acquisition device alarms, the adjacent devices do not alarm, and the alarm can be used as an alarm elimination basis.
Early warning linkage will research the early warning condition of judgement equipment: the early warning device acquires on-site monitoring data once every first set time, the adjacent device acquires on-site monitoring data once every second set time, and the data acquisition device acquires on-site monitoring data once every third set time under the condition of no abnormal on-site monitoring data;
The time length of the third set time is longer than that of the second set time, and the time length of the second set time is longer than that of the first set time. Therefore, multipoint linkage monitoring and early warning is realized, so that on-site multiple types of data acquisition equipment at the hidden danger points of the geological disasters become a tighter and organic whole, the remote control center 700 provided with the intelligent internet of things cloud deck is endowed with the capability of actively coping with the situation of change of the monitoring area, and the accuracy of disaster occurrence at the source is effectively improved.
The intelligent internet of things cloud platform comprises a control center 700, wherein the control center 700 is provided with an intelligent internet of things cloud platform, and the control center 700 is provided with a display screen, and on-site monitoring data, abnormal on-site monitoring data, on-site early warning levels, linkage early warning levels and various parameters of data acquisition equipment are displayed through the display screen. Thus, the control center 700 can realize the functions of global visualization, intelligent diagnosis of equipment state, bidirectional intelligent control of equipment (namely, the command for issuing the encryption acquisition frequency) and intelligent analysis of equipment data;
The intelligent internet of things cloud deck ensures the safety of the internet of things terminal equipment in a mode of equipment identity authentication, data encryption transmission, access right control and periodic bug repair;
specifically, through equipment identity authentication, each equipment of the access platform has a unique identifier, so that the equipment is convenient to inquire and manage;
through data encryption transmission, the security of data transmission is ensured, and risks such as data leakage, tampering, unauthorized access and the like are prevented;
The special permission is set for the sensitive data through access permission control, so that privacy protection requirements of different users are met;
The platform is ensured to be in a safe operation environment in a mode of periodically repairing the loopholes so as to ensure the safety of the terminal equipment of the Internet of things.
Referring to fig. 3, it is shown that: at the monitoring areas, respectively arranged are: the system comprises GNSS earth surface displacement monitoring equipment 100, a soil moisture content monitor 200, a multi-parameter deformation monitor 300, a rain gauge 400, a soil pressure gauge 500 and a deep displacement monitor 600.
Referring to fig. 3, it is shown that: the multi-parameter deformation monitor 300 triggers early warning, and the intelligent internet of things cradle head carries out linkage logic judgment: the installation distribution diagram of the equipment is opened, the influence radius of the early warning equipment with a set range is set by taking the early warning multiparameter deformation monitor as the center, the radius can be set in the range of 0-5km according to the actual condition of geological disaster hidden danger points, the intelligent internet of things holder discovers equipment in the radius range, and 1 rain gauge 400, 1 GNSS earth surface displacement monitoring equipment 100 and one deep displacement monitor 600 are arranged in the set range around the early warning multiparameter deformation monitor 300 as shown in fig. 3;
Issuing different encryption acquisition frequencies to the discovered data acquisition equipment of the 3 different types through the equipment bidirectional intelligent control function of the intelligent internet of things cloud deck;
After the linkage instruction is issued, three adjacent devices acquire data according to the new acquisition frequency, as shown in fig. 3, due to the change of hidden danger points, the rain gauge 400 and the GNSS ground surface displacement monitoring device 100 around the multi-parameter deformation monitor generate early warning, and the soil pressure gauge 500 which is not adjacent to the rain gauge 400 also generate early warning.
At this time, early warning linkage judgment is performed, the condition that the linkage early warning level is set to be the first early warning level is met, the control center 700 immediately performs forecast notification and emergency response, and meanwhile, the control center 700 records monitoring data of the monitoring early warning process, so that follow-up inquiry and analysis are facilitated.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (5)
1. The ground disaster automatic monitoring equipment linkage early warning method based on the intelligent internet of things cradle head is characterized by comprising the following steps of:
1) Data acquisition equipment is installed at each monitoring point in the monitoring area, the data acquisition equipment is uniformly connected to an intelligent internet of things cloud deck through a plurality of communication protocols, and the intelligent internet of things cloud deck generates an installation distribution diagram of each data acquisition equipment in the monitoring area;
The data acquisition equipment is used for acquiring field monitoring data of a monitoring area, the data acquisition equipment transmits the field monitoring data to the intelligent internet of things holder, and when the intelligent internet of things holder judges abnormal field monitoring data, the corresponding data acquisition equipment triggers early warning to form early warning equipment; according to the installation distribution diagram, the intelligent internet of things cloud deck marks data acquisition equipment in a preset range around the early warning equipment as adjacent equipment, the intelligent internet of things cloud deck sets encryption acquisition frequency of each adjacent equipment and sends an instruction to the adjacent equipment, and the adjacent equipment receives the instruction and then carries out encryption acquisition;
2) The intelligent internet of things cradle head judges the site early warning grade through abnormal site monitoring data; carrying out linkage early warning research and judgment according to the number, position information and site early warning grade of the early warning equipment, and judging the linkage early warning grade;
3) Issuing a forecast notice and an emergency response instruction through a research result of linkage early warning research and judgment, and finally completing analysis and recording of monitoring data;
In the step 1), an early warning threshold is set in the intelligent internet of things holder, the intelligent internet of things holder analyzes the collected field monitoring data to obtain an analysis result, and whether the current field monitoring data is abnormal or not is judged by comparing the analysis result with the early warning threshold;
when the analysis result exceeds the early warning threshold value, the abnormal on-site monitoring data is judged, and the corresponding data acquisition equipment triggers early warning;
The early warning threshold comprises a first threshold, a second threshold, a third threshold and a fourth threshold, and the first threshold, the second threshold, the third threshold and the fourth threshold are sequentially arranged from low to high; the on-site early warning level comprises a first early warning level, a second early warning level, a third early warning level and a fourth early warning level, and the first early warning level, the second early warning level, the third early warning level and the fourth early warning level are sequentially arranged from high to low;
In the step 2), the linkage early warning research and judgment includes the following judgment methods:
the number of the early warning devices is two, and when one early warning device is positioned in the set range of the other early warning device according to the installation distribution diagram, the linkage early warning level is increased by one level on the basis of platform early warning; the platform early warning basis is the first site early warning level judged;
The number of the early warning devices is two, and when any one early warning device is not located in the set range of the other early warning device according to the installation distribution diagram, the linkage early warning level is the highest level of the two determined site early warning levels;
When the number of the early warning devices is three or more, and any one early warning device is positioned in the set range of one early warning device according to the installation distribution diagram, the linkage early warning level is a first early warning level;
When the number of the early warning devices is three or more, and any early warning device is not located in the set range of any early warning device according to the installation distribution diagram, the linkage early warning level is increased by one level on the basis of platform early warning; the platform early warning basis is the first site early warning level judged;
The early warning device acquires on-site monitoring data once every first set time, the adjacent device acquires on-site monitoring data once every second set time, and the data acquisition device acquires on-site monitoring data once every third set time under the condition of no abnormal on-site monitoring data;
The time length of the third set time is longer than that of the second set time, and the time length of the second set time is longer than that of the first set time.
2. The ground disaster automatic monitoring equipment linkage early warning method based on the intelligent internet of things cloud deck according to claim 1, wherein the data acquisition equipment comprises, but is not limited to, a GNSS earth surface displacement monitoring equipment, a soil moisture content monitor, a multi-parameter deformation monitor, a rain gauge, a soil pressure gauge and a deep displacement monitor.
3. The ground disaster automatic monitoring equipment linkage early warning method based on the intelligent internet of things cloud deck according to claim 1, wherein the plurality of communication protocols include, but are not limited to, a LoRa communication protocol, an MQTT communication protocol or an NB communication protocol.
4. The method for linkage early warning of ground disaster automation monitoring equipment based on the intelligent internet of things cradle head according to claim 1, wherein in the step 1), the set range is between 0 km and 5 km.
5. The ground disaster automatic monitoring equipment linkage early warning method based on the intelligent internet of things cloud deck according to any one of claims 1 to 4, comprising a control center, wherein the control center is provided with the intelligent internet of things cloud deck, and is provided with a display screen, and the display screen is used for displaying on-site monitoring data, abnormal on-site monitoring data, on-site early warning level, linkage early warning level and various parameters of data acquisition equipment.
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| CN108205874A (en) * | 2016-12-16 | 2018-06-26 | 航天科工惯性技术有限公司 | Geo-hazard early-warning method based on multi-parameter linkage, live master station and system |
| CN109373911A (en) * | 2018-11-02 | 2019-02-22 | 中国地质科学院地质力学研究所 | A kind of surface displacement gridding Dynamic Monitoring and method |
| CN110264672A (en) * | 2019-06-25 | 2019-09-20 | 广州市城市规划勘测设计研究院 | A kind of early warning system of geological disaster |
| CN112991691A (en) * | 2021-03-26 | 2021-06-18 | 重庆市地质灾害防治中心 | Intelligent interactive monitoring and early warning system for geological disasters |
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