CN116129612A - Distributed landslide monitoring and early warning system based on Internet of things - Google Patents
Distributed landslide monitoring and early warning system based on Internet of things Download PDFInfo
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- CN116129612A CN116129612A CN202310192489.6A CN202310192489A CN116129612A CN 116129612 A CN116129612 A CN 116129612A CN 202310192489 A CN202310192489 A CN 202310192489A CN 116129612 A CN116129612 A CN 116129612A
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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
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
Abstract
The invention relates to a landslide early warning technology, which is used for solving the problem that landslide risk monitoring early warning effect is not ideal due to insufficient application of landslide risk assessment to data and large error of manual research and judgment results, in particular to a distributed landslide monitoring early warning system based on the Internet of things; according to the invention, the shearing force value and the vibration amplitude are analyzed, the landslide can be early warned before the landslide occurs, people can be reminded by means of sound alarm, electronic information sent by a base station and the like, alarm information is sent to government and fire-fighting parts through a network or satellite telephone, the arrival speed of rescue is improved, the landslide in inoculation can be effectively found by long-term monitoring and analysis on micro peristaltic deformation of the landslide, so that people can deal with the landslide in advance, potential landslide hidden danger is eliminated, and the landslide induced by rainfall can be predicted by analyzing the rainfall and combining with the current landslide inoculation condition of the landslide.
Description
Technical Field
The invention relates to a landslide early warning technology, in particular to a distributed landslide monitoring early warning system based on the Internet of things.
Background
Landslide refers to soil or rock mass on a slope, is influenced by factors such as river scouring, groundwater movement, rainwater soaking, earthquake, manual slope cutting and the like, and is characterized in that under the action of gravity, the natural phenomenon that the soil mass slides downwards along the slope integrally or dispersedly along a certain weak surface or a weak zone, the moving rock mass is called a displacement body or a sliding body, the non-moving underlying rock mass is called a sliding bed, the landslide is a sliding geological phenomenon that the slope rock mass generates along a through shearing damage surface, and the mechanism of the landslide is caused by that the shearing stress on a certain sliding surface exceeds the shearing strength of the surface;
at present, the automatic landslide monitoring method mainly comprises the following steps: the sensor is arranged on the surface of the mountain and used for monitoring the displacement amplitude and the speed of the surface of the mountain, the inclination acceleration of the surface of the mountain, the crack width of a special position and the like, an alarm threshold value is set for each sensor type, when the sensor indication parameter exceeds the threshold value, personnel are arranged to carry out field checking and evaluation, and whether the risk of landslide exists is judged according to the experience of the personnel, however, the existing method relies on manual field investigation and fault event investigation when monitoring and early warning of the landslide risk are carried out, and a large amount of manpower and material resources are consumed; the landslide risk is manually researched, judged and evaluated, the experience of workers is mainly relied on, the application of data is insufficient, and a large error exists in the result of manual research and judgment, so that the landslide risk monitoring and early warning effect is not ideal;
aiming at the technical problems, the application provides a solution.
Disclosure of Invention
According to the invention, the shearing force value and the vibration amplitude are analyzed, early warning can be completed on the landslide before the landslide occurs, people can be reminded through means such as sound alarm, base station sending electronic information and the like, people can evacuate dangerous areas, meanwhile, the scale of the landslide can be automatically analyzed and judged, alarm information is sent to government and fire-fighting parts through a network or satellite telephone, the arrival speed of rescue is improved, the problem that disaster information can not be transmitted out due to information blocking is prevented, the landslide in inoculation can be effectively found through long-term monitoring analysis on micro peristaltic deformation of the landslide, meanwhile, the scale of the landslide in inoculation can be found, and reminding signals are sent out, so that people can respond to the landslide in advance, potential landslide hidden danger is eliminated, the current landslide situation of the landslide can be effectively foreseen due to rainfall and induced landslide is further advanced, the ideal life loss brought by the landslide is reduced, the problem that the landslide is not estimated due to the fact that the landslide is not monitored by manual judgment is fully and the problem of the monitoring system is fully based on the early warning effect of the fact that the landslide is not monitored by the internet of things is fully developed.
The aim of the invention can be achieved by the following technical scheme:
the distributed landslide monitoring and early warning system based on the Internet of things comprises a ground monitoring unit, a weather judging unit, an inoculation early warning unit, an analysis processing unit and an output unit, wherein the ground monitoring unit comprises monitoring sensors, the monitoring sensors are arranged on a landslide of a monitoring area in an array mode, the ground monitoring unit can acquire the displacement, the shearing force value and the vibration amplitude of the landslide through the monitoring sensors, and the ground monitoring unit can send information to the analysis processing unit after acquiring the information;
the weather judging unit can acquire the rainfall in the current time period, wherein the current time period refers to each week before and after the current time, generates weather information through the rainfall in the current time period, simultaneously sends the weather information to the analysis processing unit, acquires the contemporaneous rainfall through network data, compares the weather information with the contemporaneous rainfall to acquire a rainfall difference value of the weather information and the contemporaneous rainfall, if the rainfall in the current time period is larger than the contemporaneous rainfall, the rainfall difference value is positive, if the rainfall in the current time period is smaller than the contemporaneous rainfall, the rainfall difference value is negative, and sends the rainfall difference value to the analysis processing unit;
the inoculation early warning unit can receive the landslide displacement from the analysis processing unit, analyze the landslide displacement, acquire images of the change of the landslide displacement along with time, judge whether long-term micro peristaltic deformation exists on the landslide of the monitoring area according to the images, identify the inoculation process of the landslide and divide the danger level of the area below the landslide according to the identification result;
the analysis processing unit analyzes the information after receiving the landslide displacement, the shearing force value and the vibration amplitude, when the analysis processing unit receives any one or two of the shearing force value and the vibration amplitude, the shearing force value and the vibration amplitude are substituted into a formula to be calculated and analyzed to obtain landslide early-warning characteristic quantity, the landslide early-warning characteristic quantity is compared with a preset early-warning characteristic quantity threshold value, when the landslide early-warning characteristic quantity X is larger than the early-warning characteristic quantity X0, a landslide early-warning signal is generated, the landslide early-warning signal is sent to the output unit, and the output unit sends out an alarm sound set in advance after receiving the landslide early-warning signal and simultaneously sends out an electronic information alarm to the crowd in the monitoring area; when the analysis processing unit receives the landslide displacement, the landslide displacement and the displacement time monitored by each monitoring sensor are calculated to obtain the landslide displacement speed of the group of monitoring sensors, the monitoring sensors with the landslide displacement speed exceeding the set landslide displacement speed threshold are marked as activating sensors, the number of activating sensors is counted, the number of activating sensors is compared with the preset activating sensor number threshold, when the number of activating sensors is larger than or equal to the activating sensor number threshold, a large landslide signal is generated, the large landslide signal is sent to the output unit, the output unit sends an alarm according to preset alarm sound after receiving the large landslide signal, and sends electronic information alarm to people below the landslide of the monitoring area, meanwhile, the output unit sends landslide disaster alarm information to the local government or fire department through a network or satellite signal, when the number of activating sensors is smaller than the activating sensor number threshold, the small landslide signal is generated and sent to the output unit, and the output unit sends the alarm according to the preset alarm sound after receiving the small landslide signal.
When the slope is continuously increased, a peristaltic acceleration signal is generated, the peristaltic acceleration signal is sent to an output unit through an analysis processing unit, if the slope is not continuously increased, the total amount of the mountain slope displacement is analyzed, when the total amount of the mountain slope displacement exceeds a set displacement total amount threshold value within a set time range, a ground crack signal is generated, and the crack signal is sent to the output unit, after the output unit receives any one or two of the peristaltic acceleration signal or the ground crack signal, the output unit marks a region at the mountain foot of the monitoring region as a high-risk region and sends the region to a management region, if the slope is not continuously increased, the total amount of the mountain slope displacement does not exceed the set time range, the slope is not continuously increased, the total amount is sent to the output unit, if the total amount of the mountain slope displacement does not exceed the set displacement total amount threshold value, the ground crack signal is sent to the output unit, the output unit marks the region as a low-risk region, and the region is sent to the base station if the total amount of the mountain foot is not increased within the set time range, and the total amount of the mountain foot is not set to the region, the base station is sent to the low-risk region.
As a preferable implementation mode of the invention, when the inoculation early warning unit analyzes the mountain slope displacement, all sensors which detect the mountain slope displacement are marked as sliding sensors, the sensors which do not detect the mountain slope displacement are marked as static sensors, the boundary between the area where the sliding sensors are positioned and the area where the static sensors are positioned is recorded as a ground fracture line, the height of the ground fracture line at the highest position from the mountain foot is counted, and the threshold value of the set displacement amount is selected according to the height of the ground fracture line from the mountain foot.
As a preferred embodiment of the present invention, the output unit may be connected to a base station, and the number of people under a hillside in a monitored area may be estimated by obtaining the number of signals in the base station, and the estimated number of people may be transmitted together when landslide hazard warning information is transmitted to a local government or fire department, and at the same time, when electronic information warning is transmitted to a crowd, electronic information warning may be transmitted to all users in the base station through the base station.
In a preferred embodiment of the present invention, the analysis processing unit performs threshold analysis on the rainfall after receiving the weather information, where the rainfall is the rainfall in the current time period, and if the rainfall is greater than the set rainfall threshold, a rainfall danger signal is generated and sent to the output unit, and after receiving the rainfall danger signal, the output unit sends a rainfall information alarm through the base station to the crowd located below the monitoring area.
As a preferred embodiment of the present invention, the analysis unit analyzes the rainfall difference value, generates long-term low-risk information if the rainfall difference value is positive and the rainfall difference value is greater than a set rainfall difference value threshold, and sends the long-term low-risk information to the output unit, and the output unit sends a landslide low-risk warning to a person located below the monitoring area through the base station.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, by analyzing the shearing force value and the vibration amplitude, the landslide can be pre-warned before the landslide occurs, people can be reminded by means of sound warning, electronic information sending by the base station and the like, people can be helped to evacuate dangerous areas, meanwhile, when the landslide occurs, the scale of the landslide can be automatically analyzed and judged, besides reminding people to evacuate, warning information can be sent to government and fire-fighting parts through a network or satellite phone, the arrival speed of rescue is improved, and the problem that disaster-stricken information cannot be transmitted due to information blocking caused by disasters is prevented.
2. According to the invention, by carrying out long-term monitoring analysis on the micro peristaltic deformation of the landslide, the landslide in inoculation can be effectively found, the scale of the landslide in inoculation can be found, and a reminding signal is sent out, so that people can deal with the landslide in advance, and potential landslide hidden danger is eliminated.
3. According to the invention, through analyzing the rainfall in the current time period and combining with the current landslide inoculation condition of the mountain, landslide caused by rainfall can be effectively predicted, so that people are reminded of avoiding danger in advance, and life and property loss caused by landslide is reduced.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a system block diagram of the present invention;
FIG. 2 is a schematic view of a ground fracture line in accordance with the present invention;
fig. 3 is a schematic diagram of the arrangement of the monitoring sensor according to the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
referring to fig. 1-2, a distributed landslide monitoring and early warning system based on the internet of things comprises a ground monitoring unit, a weather judging unit, an inoculation early warning unit, an analysis processing unit and an output unit, wherein the ground monitoring unit comprises monitoring sensors, the monitoring sensors are arranged on a landslide of a monitoring area in an array mode, the ground monitoring unit can acquire the displacement, the shearing force value and the vibration amplitude of the landslide through the monitoring sensors, and the ground monitoring unit can send information to the analysis processing unit after acquiring the information;
the weather judging unit can acquire the rainfall in the current time period and generate weather information, meanwhile, the weather information is sent to the analysis processing unit, rainfall is an important influence factor of landslide occurrence, most landslide is in stormy weather, the effect of rainfall on landslide is mainly represented by massive infiltration of the rainwater, the soil layer on the slope is saturated, and even water is accumulated on a water-resisting layer at the lower part of the slope, so that the weight of the landslide is increased, the shear strength of the soil layer is reduced, the landslide is generated, meanwhile, the weather judging unit can acquire the contemporaneous rainfall in past year through network data, and compares the weather information with the contemporaneous rainfall in past year to obtain a rainfall difference value of the weather information and the contemporaneous rainfall in past year, if the rainfall in the current time period is larger than the contemporaneous rainfall in past year, the rainfall difference value is positive, if the rainfall in the current time period is smaller than the rainfall in the same period of the past year, the rainfall difference value is negative, the rainfall difference value is sent to an analysis processing unit, after the analysis processing unit receives weather information, threshold analysis is carried out on the rainfall, wherein the rainfall is the rainfall in the current time period, if the rainfall is larger than a set rainfall threshold value, the rainfall is more than the set safety value, landslide is easier to generate landslide under the scouring of heavy rain, a rainfall danger signal is generated, the rainfall danger signal is sent to an output unit, after the rainfall danger signal is received by the output unit, a rainfall information alarm is sent to a crowd below a monitoring area through a base station so as to remind the crowd to withdraw to the safety area, the analysis unit analyzes the rainfall difference value, if the rainfall difference value is positive, and the rainfall difference value is larger than the set rainfall difference value threshold value, the rainfall representing the current time period is larger than the rainfall in the same year, the generation of landslide is promoted, the possibility of landslide generation is increased, long-term low-risk information is generated, the long-term low-risk information is sent to an output unit, and the output unit sends a landslide low-risk warning to personnel below a monitoring area through a base station;
the inoculation pre-warning unit can receive the mountain slope displacement from the analysis processing unit, analyze the mountain slope displacement, acquire images of the change of the mountain slope displacement along with time, judge whether the mountain slope of the monitoring area has long-term micro peristaltic deformation according to the images, identify the inoculation process of the landslide, divide the area under the mountain slope according to the identification result, draw a time-displacement line diagram by taking time as an X axis and the mountain slope displacement as a Y axis when analyzing the mountain slope displacement, draw a time-displacement line diagram by taking the mountain slope displacement as the distance between the current position of the monitoring sensor and the initial placement position of the monitoring sensor, calculate the slope of a line segment between every two adjacent mountain slope displacement points, generate a peristaltic acceleration signal if the slope is continuously increased, and send the peristaltic acceleration signal to the output unit through the analysis processing unit, if the slope does not continuously increase, analyzing the total amount of the landslide displacement, when the total amount of the landslide displacement exceeds a set displacement total amount threshold value within a set time range, generating a ground crack signal, wherein the set time range is generally taken as a unit, transmitting the crack signal to an output unit, when the output unit receives any one or two of a peristaltic acceleration signal and the ground crack signal, marking an area at the mountain foot of the monitoring area as a high-risk area and transmitting the high-risk area to a management department, evaluating the occurrence probability of the landslide by the management department through manual checking and judging, simultaneously preventing the landslide from occurring by adopting a mode of reinforcing the landslide or directly promoting the landslide to be generated in advance by blasting the landslide after evacuating people so as to prevent the landslide from causing harm to the people, if the slope does not continuously increase and the total amount of the landslide displacement does not exceed the threshold value of the total amount of the displacement within the set time range, the area at the mountain foot of the monitoring area is marked as a low-risk area, the output unit sends low-risk reminding to people in the low-risk area through the base station to remind the people of the landslide hazard, meanwhile, if the analysis unit generates a rainfall danger signal, the low-risk area under the condition is automatically converted into a high-risk area, and if the total amount of the landslide displacement of the monitoring area is 0, no landslide inoculation sign is proved, the area is marked as a safety area.
When the inoculation early warning unit analyzes the mountain slope displacement, all sensors which detect the mountain slope displacement are marked as sliding sensors, all sensors which do not detect the mountain slope displacement are marked as static sensors, the boundary between the area where the sliding sensors are located and the area where the static sensors are located is recorded as a ground fracture line, the height of the ground fracture line at the highest position from the mountain foot is counted, the set displacement total amount threshold value is selected according to the height of the ground fracture line from the mountain foot, the height of the ground fracture line from the mountain foot is divided into a first-level height, a second-level height, a third-level height, a fourth-level height and more than one, and the corresponding threshold values are respectively the first-level displacement amount total amount threshold value to the fourth-level displacement amount total amount threshold value, wherein the fourth-level displacement amount total amount threshold value is less than the third-level displacement amount total amount threshold value less than the first-level displacement amount total amount threshold value;
after receiving the landslide displacement, the shear force value and the vibration amplitude, the analysis processing unit analyzes the information, after receiving any one or two of the shear force value and the vibration amplitude, the analysis processing unit substitutes the shear force value and the vibration amplitude into a formula to calculate and analyze to obtain landslide early warning characteristic quantity X=k (F+1) ×T+1, wherein F is the shear force value, T is the vibration amplitude, and compares the landslide early warning characteristic quantity with a preset early warning characteristic quantity threshold value, when the landslide early warning characteristic quantity X is larger than the early warning characteristic quantity X0, the landslide early warning signal is generated, and is sent to the output unit, and the output unit sends out an early-set warning sound after receiving the landslide early warning signal, and simultaneously sends electronic information warning to people in a monitoring area, wherein the electronic information warning includes but is not limited to short messages, voice prompts, machine voice telephones and video warnings; after the analysis processing unit receives the landslide displacement, the landslide displacement monitored by each monitoring sensor and the displacement time length are calculated to obtain the landslide displacement speed of the corresponding position of the monitoring sensor, the monitoring sensors with the landslide displacement speed exceeding the set landslide displacement speed threshold value are marked as activating sensors, the quantity of activating sensors is counted, the quantity of activating sensors is compared with the preset quantity threshold value of activating sensors, when the quantity of activating sensors is larger than or equal to the quantity threshold value of activating sensors, a large landslide signal is generated, and is sent to an output unit, after the output unit receives the large landslide signal, an alarm is sent according to a preset alarm sound, and electronic information alarm is sent to people below the landslide in the monitoring area, and meanwhile, the output unit sends landslide disaster alarm information to a local government or a fire department through a network or satellite signal, so that a reminding part goes to the fire disaster relief at the highest speed, when the quantity of activating sensors is smaller than the quantity threshold value of activating sensors, a small landslide signal is generated, the small landslide signal is sent to an output unit, when the quantity of activating sensors is larger than or equal to the quantity of activating sensors is larger than the quantity threshold value of activating sensors, a preset value of the landslide signal is output to a base station, the electronic alarm is sent to the base station through the base station, and the electronic alarm is sent to the base station in the estimated value according to the estimated value of the quantity of the people in the actual alarm sound, and the base station is sent to the actual alarm information to the people in the base station, and the base station is in the estimated value is sent to the actual alarm information to the people in the monitoring area, coverage of alarms is improved by various means of alarms.
The working principle of the combination of the first embodiment and the second embodiment is as follows:
according to the invention, the shearing force value and the vibration amplitude are analyzed, early warning can be completed on the landslide before the landslide occurs, people can be reminded through means such as sound alarm, base station sending electronic information and the like, people can withdraw dangerous areas, meanwhile, the scale of the landslide can be automatically analyzed and judged when the landslide occurs, besides reminding people to withdraw, alarm information can be sent to government and fire-fighting parts through a network or satellite telephone, the arrival speed of rescue is improved, the problem that disaster-stricken information cannot be transmitted out due to the blocking caused by disasters is prevented, the scale of the landslide in inoculation can be effectively found through long-term monitoring analysis on trace peristaltic deformation of the landslide, and reminding signals can be sent out, so that people can respond to the landslide in advance, potential landslide is eliminated, the hidden danger caused by rainfall can be effectively foreseen on the landslide due to rainfall is further, and life and property loss caused by the landslide is reduced.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. The distributed landslide monitoring and early warning system based on the Internet of things is characterized by comprising a ground monitoring unit, a weather judging unit, an inoculation early warning unit, an analysis processing unit and an output unit, wherein the ground monitoring unit comprises monitoring sensors, the monitoring sensors are arranged on a landslide in a monitoring area in an array mode, the ground monitoring unit can acquire landslide monitoring information through the monitoring sensors, the landslide monitoring information comprises landslide displacement, shearing force value and vibration amplitude, and the acquired landslide monitoring information is sent to the analysis processing unit through the ground monitoring unit;
the weather judging unit can acquire the rainfall in the current time period through weather forecast of the weather table, wherein the current time period refers to each week before and after the current time, weather information is generated through the rainfall in the current time period, meanwhile, the weather information is sent to the analysis processing unit, meanwhile, the weather judging unit can acquire the annual contemporaneous rainfall through network data, the rainfall in the current time period is compared with the annual contemporaneous rainfall to obtain a rainfall difference value of the weather information and the annual contemporaneous rainfall, if the rainfall in the current time period is greater than the annual contemporaneous rainfall, the rainfall difference value is positive, if the rainfall in the current time period is less than the annual contemporaneous rainfall, the rainfall difference value is negative, and the rainfall difference value is sent to the analysis processing unit;
the inoculation early warning unit can acquire the mountain slope displacement from the analysis processing unit, analyze the mountain slope displacement, acquire images of the change of the mountain slope displacement along with time, judge whether the mountain slope of the monitoring area has long-term micro peristaltic deformation according to the images, identify the inoculation process of the landslide and divide the danger level of the area below the mountain slope according to the identification result;
the analysis processing unit analyzes the information after receiving the landslide displacement, the shearing force value and the vibration amplitude, when the analysis processing unit receives any one or two of the shearing force value and the vibration amplitude, the shearing force value and the vibration amplitude are substituted into a formula to be calculated and analyzed to obtain landslide early-warning characteristic quantity, the landslide early-warning characteristic quantity is compared with a preset early-warning characteristic quantity threshold value, when the landslide early-warning characteristic quantity X is larger than the early-warning characteristic quantity X0, a landslide early-warning signal is generated, the landslide early-warning signal is sent to the output unit, and the output unit sends out an alarm sound set in advance after receiving the landslide early-warning signal and simultaneously sends out an electronic information alarm to the crowd in the monitoring area; when the analysis processing unit receives the landslide displacement, the landslide displacement and the displacement time monitored by each monitoring sensor are calculated to obtain the landslide displacement speed of the group of monitoring sensors, the monitoring sensors with the landslide displacement speed exceeding the set landslide displacement speed threshold are marked as activating sensors, the number of activating sensors is counted, the number of activating sensors is compared with the preset activating sensor number threshold, when the number of activating sensors is larger than or equal to the activating sensor number threshold, a large landslide signal is generated, the large landslide signal is sent to the output unit, the output unit sends an alarm according to preset alarm sound after receiving the large landslide signal, and sends electronic information alarm to people below the landslide of the monitoring area, meanwhile, the output unit sends landslide disaster alarm information to the local government or fire department through a network or satellite signal, when the number of activating sensors is smaller than the activating sensor number threshold, the small landslide signal is generated and sent to the output unit, and the output unit sends the alarm according to the preset alarm sound after receiving the small landslide signal.
2. The internet of things-based distributed landslide monitoring and early warning system according to claim 1, wherein when the inoculation and early warning unit analyzes a landslide displacement amount, the time is taken as an X axis, the landslide displacement amount is taken as a Y axis, a time-displacement line diagram is drawn, the landslide displacement amount is taken as a distance between a current position of a monitoring sensor and an initial placement position of the monitoring sensor, slope calculation is performed on a line segment between every two adjacent landslide displacement amount points, if the slope continuously increases, a peristaltic acceleration signal is generated and sent to an output unit through an analysis processing unit, if the slope does not continuously increase, the total amount of the landslide displacement amount is analyzed, when the total amount of the landslide displacement amount exceeds a set displacement amount total amount threshold value within a set time range, a ground crack signal is generated and sent to the output unit, and when the output unit receives the peristaltic acceleration signal or any one or two of the ground signals, the output unit marks a region at a foot of the monitoring region as a high risk region and sends a high risk region to a management crack, if the slope continuously increases and the slope does not continuously increase and the total amount of the landslide displacement amount exceeds a set displacement amount total amount threshold value within a low region, and if the slope does not continuously increase and the slope exceeds a low-risk region, the slope is set to be a low risk region, and the low-risk region is set.
3. The internet of things-based distributed landslide monitoring and early warning system is characterized in that when the inoculation and early warning unit analyzes the landslide displacement, all sensors which detect the landslide displacement are marked as sliding sensors, sensors which do not detect the landslide displacement are marked as static sensors, a boundary between an area where the sliding sensors are located and an area where the static sensors are located is recorded as a ground fracture line, the height of the ground fracture line at the highest position from a mountain foot is counted, and a set displacement total amount threshold is selected according to the height of the ground fracture line from the mountain foot.
4. The internet of things-based distributed landslide monitoring and early warning system according to claim 1, wherein the output unit is capable of being connected with a base station, estimating the number of people under a landslide in a monitored area by acquiring the number of signals in the base station, transmitting the estimated number of people together when transmitting landslide disaster warning information to a local government or fire department, and simultaneously transmitting an electronic information warning to all users in the base station through the base station when transmitting the electronic information warning to the crowd.
5. The distributed landslide monitoring and early warning system based on the internet of things according to claim 1, wherein after the analysis processing unit receives weather information, threshold analysis is performed on rainfall in a current time period, if the rainfall is greater than a set rainfall threshold, a rainfall danger signal is generated and sent to the output unit, and after the output unit receives the rainfall danger signal, the output unit sends a rainfall information alarm through the base station to the crowd below the monitoring area.
6. The internet of things-based distributed landslide monitoring and early warning system according to claim 1, wherein the analysis unit analyzes the rainfall difference value, generates long-term low-risk information if the rainfall difference value is positive and the rainfall difference value is greater than a set rainfall difference value threshold, and sends the long-term low-risk information to the output unit, and the output unit sends a landslide low-risk warning to a person located below a monitoring area through the base station.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116665422A (en) * | 2023-05-29 | 2023-08-29 | 广西交通设计集团有限公司 | Highway side slope falling stone risk monitoring and early warning system |
| CN117765708A (en) * | 2024-02-22 | 2024-03-26 | 城云科技（中国）有限公司 | Slope instability prediction method and device based on map image analysis technology |
| CN117782226A (en) * | 2024-02-23 | 2024-03-29 | 四川省能源地质调查研究所 | Mine safety early warning system |
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2023
- 2023-03-02 CN CN202310192489.6A patent/CN116129612A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116665422A (en) * | 2023-05-29 | 2023-08-29 | 广西交通设计集团有限公司 | Highway side slope falling stone risk monitoring and early warning system |
| CN116665422B (en) * | 2023-05-29 | 2024-03-29 | 广西交通设计集团有限公司 | Highway side slope falling stone risk monitoring and early warning system |
| CN117765708A (en) * | 2024-02-22 | 2024-03-26 | 城云科技（中国）有限公司 | Slope instability prediction method and device based on map image analysis technology |
| CN117782226A (en) * | 2024-02-23 | 2024-03-29 | 四川省能源地质调查研究所 | Mine safety early warning system |
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