CN112284263A - Mountain disaster early warning monitoring device and early warning monitoring method based on machine vision - Google Patents
Mountain disaster early warning monitoring device and early warning monitoring method based on machine vision Download PDFInfo
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Abstract
The invention discloses a mountain disaster early warning and monitoring device based on machine vision, which comprises an intelligent camera, an electric control system, control equipment and a characteristic target, wherein the characteristic target is arranged in the most dangerous area of a landslide and on two sides of a crack appearing on a mountain; the intelligent camera is installed in a mountain sliding area and can observe a characteristic target installed in a controlled area to be detected, an embedded software algorithm is arranged in the intelligent camera, image information of the characteristic target installation position for monitoring mountain landslide and mountain cracks can be collected in real time, and position information of the characteristic target can be monitored and resolved; the electric control system is installed on the periphery of the intelligent camera, is connected with the intelligent camera, supplies power to the intelligent camera, transmits image information and position information acquired by the intelligent camera and a resolving and analyzing result to the remote control equipment connected with the cloud end in a network mode for looking up, and the remote control equipment performs information interaction with the electric control system through the network.
Description
Technical Field
The invention relates to the technical field of mountain disaster early warning and monitoring, in particular to a mountain disaster early warning and monitoring device and method based on machine vision.
Background
As a main disaster species of geological disasters, landslides have the characteristics of strong outburst, wide distribution range, high destructiveness and the like, cause huge economic loss and casualties every year, and are serious restriction factors of national economic construction and social development in China.
The current common landslide monitoring and early warning technology is that a Global Navigation Satellite System (GNSS) and a crack meter are distributed on a mountain, the displacement of the surface of the mountain can be monitored through the GNSS, and the measurement of sliding displacement is also carried out through a total station; and monitoring the development condition of the surface cracks of the mountain through a crack meter.
The limitation of satellite navigation is that its signal continuity is insufficient, and GNSS signals are vulnerable to accidental or deliberate interference such as terrain and foliage occlusion to weaken or reflect the signals, distorting displacement measurement; the total station measures far visual range, can observe the target of long distance, but need install it in fixed area, and the intermontane rain fog weather is many, and in case rainy there is the fog, the total station can't observe the target, and nevertheless rain fog weather is exactly when mountain landslide risk is the biggest. The crack meter is arranged on the surface of a mountain body and is influenced by the rain and fog environment in the mountain, the precision of the sensor is difficult to guarantee, and the instrument can be damaged by wild animals, so that the monitoring work is stopped.
The traditional monitoring mode often cannot achieve an ideal monitoring effect, and a mountain disaster early warning monitoring device and an early warning monitoring method are necessary to be provided, so that automatic real-time monitoring can be continuously and accurately carried out on landslides, timely early warning of mountain safety is guaranteed, and personal and property safety of surrounding residents and workers is protected.
Disclosure of Invention
In order to improve the prior art, the invention provides a mountain disaster early warning monitoring device and an early warning monitoring method based on machine vision, the device can simultaneously measure mountain sliding and mountain cracks in a non-contact manner, and is convenient to install and implement, good in safety, accurate in early warning and not easy to be influenced by severe environment.
In order to achieve the aim, the invention provides a mountain disaster early warning and monitoring device based on machine vision, which comprises an intelligent camera, an electric control system, control equipment and a characteristic target, wherein the characteristic target is arranged in the most dangerous area of mountain landslide indicated in a geological survey report and on two sides of a crack appearing on a mountain; the intelligent camera is installed in a mountain sliding area and can observe the characteristic target installed in the area to be detected, an embedded software algorithm is arranged in the intelligent camera, image information of the installation position of the characteristic target for monitoring mountain landslide and mountain cracks can be collected in real time, the position information of the characteristic target can be monitored, and the position information is resolved and analyzed; the electric control system is installed on the periphery of the intelligent camera, is connected with the intelligent camera, supplies power to the intelligent camera, transmits image information and position information acquired by the intelligent camera and a resolving and analyzing result to the remote control equipment connected with the cloud end in a network mode for looking up, and the remote control equipment performs information interaction with the electric control system through the network.
Further, the feature target comprises a feature target for monitoring landslide, the intelligent camera monitors position information of the feature target and collects mountain image information at the feature target, if the relative position of the intelligent camera and the feature target changes, the intelligent camera carries out resolving analysis on the relative position information of the feature target relative to the intelligent camera, a real-time relative displacement change value and a relative displacement change rate of the feature target relative to the intelligent camera are calculated, and when the relative displacement change value exceeds a preset sliding displacement threshold value or the relative displacement change rate exceeds a preset sliding rate threshold value, the electronic control system sends the mountain image information, the feature target position information and the resolving analysis result collected by the intelligent camera to a cloud end and sends an alarm prompt to the remote control device.
Furthermore, the remote control device can transfer the mountain image information collected by the intelligent camera in the alarm time period, and also can remotely interact with the electric control system to obtain the latest mountain image information so as to further determine the risk of landslide.
Further, the sliding displacement threshold and the sliding speed threshold are determined according to the geographical position of the mountain and the local environment.
Furthermore, the characteristic targets comprise characteristic targets which are used for monitoring the cracking degree of the mountain crack and are installed on two sides of the crack, the intelligent camera monitors position information of the characteristic targets and collects crack image information at the position of the characteristic targets, if the absolute position between the characteristic targets on the two sides of the crack changes, the intelligent camera carries out resolving analysis on the absolute position information between the characteristic targets on the two sides of the crack, real-time interval distance between the characteristic targets on the two sides of the crack is calculated, a difference value is formed between the real-time interval distance and the initial interval distance, and when the difference value between the real-time interval distance and the initial interval distance exceeds a preset crack width threshold value, the electronic control system sends the crack image information, the characteristic target position information and the resolving analysis result collected by the intelligent camera to a cloud terminal and sends alarm prompt to the remote control device.
Furthermore, the remote control equipment can be used for transferring the crack image information collected by the intelligent camera in the alarm time period and also can be used for remotely interacting information with the electric control system to obtain the latest crack image information so as to further determine the risk of crack cracking.
Further, the crack width threshold is determined according to the geographical position of the mountain and the local environment.
Further, the characteristic target is an infrared characteristic target which can be recognized by the intelligent camera at night and in rainy and foggy days.
The invention also provides a mountain disaster early warning and monitoring method, which is implemented by using the mountain disaster early warning and monitoring device and comprises the following steps:
1) according to a geological survey report, a plurality of sliding ranges are divided on a measured mountain body, and the most dangerous area in each sliding range is found out;
2) installing infrared characteristic targets in the most dangerous area of each sliding range, searching cracks in the most dangerous area, and installing infrared characteristic targets on two sides of the cracks;
3) outside the most dangerous area, finding out any sliding area with a sliding speed different from that of the most dangerous area according to the geological survey report, respectively installing an intelligent camera and an electric control system in the sliding area, and connecting the intelligent camera with the electric control system through a cable;
4) opening a switch of the electric control system, switching on a system power supply and a network, and adjusting the focal length of the intelligent camera to enable the intelligent camera to observe all infrared characteristic targets of the most dangerous area;
5) the control equipment is connected with the intelligent camera through Bluetooth or a network, and sets parameters such as acquisition frequency, alarm values (a sliding displacement threshold value, a sliding rate threshold value and a crack width threshold value) and the like of the intelligent camera;
6) the intelligent camera collects initial position information of the infrared characteristic target to obtain initial position information P1 of the infrared characteristic target for monitoring landslideInitialAnd infrared characteristic target initial position information P2 for monitoring cracking degree of mountain cracksInitialAnd P3Initial，P2InitialAnd P3InitialThe difference value of the position data is the initial spacing distance of the infrared characteristic target;
7) the intelligent camera enters a monitoring state and monitors landslide and a mountain crack respectively;
monitoring landslide: the intelligent camera monitors real-time position information P1 of the infrared characteristic target according to the set sampling frequency and collects mountain image information at the infrared characteristic target, if the relative position of the intelligent camera and the infrared characteristic target changes, the intelligent camera carries out resolving analysis on the relative position information of the infrared characteristic target relative to the intelligent camera, calculates the real-time relative displacement change value and the relative displacement change rate of the infrared characteristic target relative to the intelligent camera, and when the relative displacement change value exceeds a preset sliding displacement threshold value or the relative displacement change rate exceeds a preset sliding rate threshold value, the electronic control system sends the mountain image information, the infrared characteristic target position information and the resolving analysis result collected by the intelligent camera to a cloud terminal and sends alarm prompt to the remote control equipment;
monitoring the mountain cracks: the intelligent camera monitors real-time position information P2 and P3 of the infrared characteristic targets according to the set sampling frequency and collects crack image information of the infrared characteristic targets, the position data difference value of P2 and P3 is the real-time interval distance between the characteristic targets at two sides of crack cracking, the real-time interval distance and the initial interval distance are used as difference values, when the difference value of the real-time interval distance and the initial interval distance exceeds a preset crack width threshold value, the electronic control system sends the crack image information, the characteristic target position information and the resolving analysis result collected by the intelligent camera to the cloud end, and sends alarm reminding to the remote control equipment.
Further, comprising step 8): after the remote control equipment receives the alarm prompt, mountain image information or crack image information acquired by the intelligent camera in the alarm time period can be adjusted, and the latest mountain image information or the latest crack image information can be acquired through information interaction with the electric control system (2) remotely so as to further determine the risk of mountain landslide or crack cracking.
The invention has the following beneficial effects: compared with the existing commonly-used ground disaster early warning monitoring system, the system adopts non-contact remote monitoring, the device is convenient to install, and the infrared characteristic target is adopted, so that data acquisition can still be carried out at night and in rainy and foggy days, and the normal operation of monitoring work is ensured. Meanwhile, the method realizes the method for arranging the monitoring device in the sliding area to carry out early warning by adopting the algorithm built in the intelligent camera, adopting the relative displacement calculation for the mountain body sliding and adopting the absolute displacement calculation for the crack width, and simultaneously leads the user to read data remotely through the data wireless transmission technology so as to master the site safety condition in real time.
Drawings
Fig. 1 is a schematic working diagram of a mountain disaster early warning and monitoring device based on machine vision.
In the figure: 1. a smart camera; 2. an electronic control system; 3. a control device; q (Q1, Q2, Q3), feature target.
Detailed Description
Landslide has the characteristics of strong burst property, wide distribution range, high destructiveness and the like, and causes huge economic loss and casualties every year. In order to predict the risk of landslide in advance, a GNSS global satellite navigation system and a crack meter are arranged on a mountain, displacement of the surface of the mountain is monitored through the GNSS, and the development condition of cracks on the surface of the mountain is monitored through the crack meter. Because of insufficient signal continuity, the GNSS signal is easily weakened or reflected by accidental or deliberate interference such as terrain and leaf shielding, so that the displacement measurement is distorted; the crack meter is arranged on the surface of a mountain body and is influenced by the rain and fog environment in the mountain, the precision of the sensor is difficult to guarantee, and the instrument can be damaged by wild animals, so that the monitoring work is stopped. Therefore, when a Global Navigation Satellite System (GNSS) or a crack meter prompts a risk of landslide, the mountain disaster early warning monitoring device and the mountain disaster early warning monitoring method based on machine vision disclosed by the application can further determine the risk, and can perform supplementary monitoring through the mountain disaster early warning monitoring device and the mountain disaster early warning monitoring method based on machine vision disclosed by the application under the conditions that GNSS signals are interfered and rain and fog weather, so as to prevent the mountain risk from not being forecast in time. Certainly, the mountain disaster early warning monitoring device and the early warning monitoring method based on machine vision disclosed by the application can also be independently implemented to provide early warning monitoring services.
The mountain disaster early warning monitoring device and the early warning monitoring method based on machine vision disclosed by the application are further described by specific embodiments in combination with the accompanying drawings.
Referring to fig. 1, the mountain disaster early warning and monitoring device based on machine vision disclosed by the application comprises an intelligent camera 1, an electric control system 2, a control device 3 and an infrared characteristic target Q. The infrared characteristic target Q comprises an infrared characteristic target Q1 which is arranged in the most dangerous area of the landslide indicated in the geological survey report and is used for monitoring the landslide, and infrared characteristic targets Q2 and Q3 which are arranged at two sides of the crack of the mountain and are used for monitoring the crack degree of the mountain;
according to the geological survey report, a plurality of mountain sliding ranges are divided on the tested mountain, and the most dangerous area of the mountain in each sliding range and the mountain sliding area which is outside the most dangerous area and has a sliding speed different from that of the most dangerous area are found. As an example, the drawing shows a sliding range a, a sliding range B, and a sliding range C, and finds a most dangerous region Aa in the sliding range a, a most dangerous region Ba in the sliding range B, a most dangerous region Ca in the sliding range C, and a sliding region Ab, a sliding region Bb, and a sliding region Cb that have different sliding rates corresponding to the most dangerous regions Aa, Ba, and Ca, respectively.
The infrared characteristic targets Q1 are installed in the most dangerous area of each sliding range, cracks are searched in the most dangerous area, the infrared characteristic targets Q2 and Q3 are installed on two sides of the cracks, and the intelligent camera 1 and the electronic control system 2 are installed in the mountain sliding area corresponding to the mountain with the sliding speed different from that of the most dangerous area. As an example, in the drawing, taking the sliding range a as an example, the infrared characteristic targets Q1 are installed in the most dangerous area Aa of the sliding range a, a crack is searched in the most dangerous area Aa, the infrared characteristic targets Q2 and Q3 are installed on both sides of the crack, and the smart camera 1 and the electronic control system 2 are installed in the sliding area Ab corresponding to the sliding rate different from that of the most dangerous area Aa.
The intelligent camera 1 can observe infrared characteristic targets Q1, Q2 and Q3 installed in a region to be measured (the most dangerous region) under the jurisdiction. The intelligent camera 1 is internally provided with an embedded software algorithm, can acquire image information of the installation positions of the infrared characteristic targets Q1, Q2 and Q3 for monitoring landslide and mountain cracks in real time, can monitor the position information of the infrared characteristic targets Q1, Q2 and Q3 and carries out resolving analysis on the position information;
the electric control system 2 is installed at the periphery of the intelligent camera 1, is connected with the intelligent camera 1 through a cable, supplies power for the intelligent camera 1, transmits image information, position information and a resolving and analyzing result acquired by the intelligent camera 1 to the remote control equipment 3 connected with the cloud end for network searching in a network mode, and the remote control equipment 3 carries out information interaction with the electric control system 2 through the network.
And when monitoring landslide, adopting a relative displacement method. The intelligent camera 1 monitors position information of the infrared characteristic target Q1 and collects mountain image information of the infrared characteristic target Q1, if the relative position of the intelligent camera 1 and the characteristic target Q1 changes, the intelligent camera 1 carries out resolving analysis on the relative position information of the characteristic target Q1 relative to the intelligent camera 1, a real-time relative displacement change value and a relative displacement change rate of the infrared characteristic target Q1 relative to the intelligent camera 1 are calculated, and when the relative displacement change value exceeds a preset sliding displacement threshold value or the relative displacement change rate exceeds a preset sliding rate threshold value, the electronic control system 2 sends the mountain image information, the infrared characteristic target Q1 position information and resolving analysis results collected by the intelligent camera 1 to a cloud terminal and sends an alarm prompt to the remote control device 3. After receiving the alarm prompt, the remote control device 3 can adjust the mountain image information acquired by the intelligent camera 1 in the alarm time period, and also can remotely interact with the electric control system 2 to acquire the latest mountain image information so as to further determine the risk of landslide. The sliding displacement threshold value and the sliding speed threshold value in the application are determined according to the geographical position of the mountain and the local environment.
And when the mountain cracks are monitored, an absolute displacement method is adopted. The intelligent camera 1 monitors position information of the infrared characteristic targets Q2 and Q3 and collects crack image information of the infrared characteristic targets Q2 and Q3, if absolute positions of the characteristic targets Q2 and Q3 on two sides of crack cracking change, the intelligent camera 1 carries out resolving analysis on the absolute position information of the infrared characteristic targets Q2 and Q3 on the two sides of crack cracking, real-time interval distance between the infrared characteristic targets Q2 and Q3 on the two sides of crack cracking is calculated, difference is carried out between the real-time interval distance and the initial interval distance, when the difference between the real-time interval distance and the initial interval distance exceeds a preset crack width threshold value, the electronic control system 2 sends crack image information, the infrared characteristic targets Q2 and Q3 position information and resolving analysis results collected by the intelligent camera 1 to a cloud end, and sends alarm reminding to the remote control device 3. The remote control device 3 can adjust the crack image information acquired by the intelligent camera 1 in the alarm time period after receiving the alarm prompt, and also can remotely interact with the electric control system 2 to acquire the latest crack image information so as to further determine the risk of crack cracking. The crack width threshold in the application is determined according to the geographical position of the mountain and the local environment.
Use infrared characteristic target Q in this application, it can be discerned by smart camera 1 night and rainy and foggy day.
The control device 3 in the application can also communicate with the intelligent camera 1 on the spot through Bluetooth or WIFI.
The early warning and monitoring method of the mountain disaster early warning and monitoring device is implemented according to the following steps:
1) according to a geological survey report, a plurality of sliding ranges are divided on a measured mountain body, and the most dangerous area in each sliding range is found out;
2) installing an infrared characteristic target Q1 in the most dangerous area of each sliding range, searching for a crack in the most dangerous area, and installing infrared characteristic targets Q2 and Q3 on two sides of the crack;
3) outside the most dangerous area, finding out any sliding area with a sliding speed different from that of the most dangerous area according to a geological survey report, respectively installing an intelligent camera 1 and an electric control system 2 in the sliding area, and connecting the intelligent camera 1 and the electric control system 2 through a cable;
4) the switch of the electric control system 2 is turned on, the power supply and the network of the system are switched on, and the focal length of the intelligent camera 1 is adjusted, so that all infrared characteristic targets Q1, Q2 and Q3 in the most dangerous area can be observed;
5) the control device 3 is connected with the intelligent camera 1 through Bluetooth or a network, and sets parameters such as acquisition frequency, alarm values (a sliding displacement threshold value, a sliding rate threshold value and a crack width threshold value) and the like of the intelligent camera 1, wherein the alarm values are determined according to the geographical position of a mountain and the local environment;
6) intelligent camera 1 pair infrared characteristic targetQ1, Q2 and Q3 collect initial position information to obtain initial position information P1 of an infrared characteristic target Q1 for monitoring landslideInitialAnd infrared characteristic targets Q2 and Q3 initial position information P2 for monitoring cracking degree of mountain cracksInitialAnd P3Initial，P2InitialAnd P3InitialThe difference value of the position data is the initial spacing distance of the infrared characteristic targets Q2 and Q3;
7) the intelligent camera 1 enters a monitoring state and respectively monitors landslide and mountain cracks;
monitoring landslide: the intelligent camera 1 monitors real-time position information P1 of the infrared characteristic target Q1 according to the set sampling frequency and collects mountain image information of the infrared characteristic target Q1, if the relative position of the intelligent camera 1 and the infrared characteristic target Q1 changes, the intelligent camera 1 carries out resolving analysis on the relative position information of the infrared characteristic target Q1 relative to the intelligent camera 1, calculates the real-time relative displacement change value and the relative displacement change rate of the infrared characteristic target Q1 relative to the intelligent camera 1, when the relative displacement change value exceeds a preset sliding displacement threshold value or the relative displacement change rate exceeds a preset sliding rate threshold value, the electronic control system 2 sends mountain image information, infrared characteristic target Q1 position information and resolving analysis results acquired by the intelligent camera 1 to a cloud end, and sends an alarm prompt to the remote control device 3;
monitoring the mountain cracks: the intelligent camera 1 monitors real-time position information P2 and P3 of the infrared characteristic targets Q2 and Q3 according to the set sampling frequency, crack image information at the positions of the infrared characteristic targets Q2 and Q3 is collected, a position data difference value of P2 and P3 is a real-time interval distance between the characteristic targets Q2 and Q3 at two sides of a crack, the real-time interval distance and an initial interval distance are used for making a difference value, and when the difference value exceeds a preset crack width threshold value, the electronic control system 2 sends the crack image information collected by the intelligent camera 1, the position information of the characteristic targets Q2 and Q3 and a calculation analysis result to a cloud end and sends an alarm prompt to the remote control device 3.
8) After the remote control device 3 receives the alarm prompt, the mountain image information or the crack image information acquired by the intelligent camera 1 in the alarm time period can be adjusted, and the latest mountain image information or the latest crack image information can be acquired through information interaction with the electric control system 2 remotely so as to further determine the risk of mountain landslide or crack cracking.
The structural features of this embodiment are as follows: compared with the existing commonly-used ground disaster early warning monitoring system, the system adopts non-contact remote monitoring, the device is convenient to install, and the infrared characteristic target is adopted, so that data acquisition can still be carried out at night and in rainy and foggy days, and the normal operation of monitoring work is ensured. Meanwhile, the method realizes the method for arranging the monitoring device in the sliding area to carry out early warning by adopting the algorithm built in the intelligent camera, adopting the relative displacement calculation for the mountain body sliding and adopting the absolute displacement calculation for the crack width, and simultaneously leads the user to read data remotely through the data wireless transmission technology so as to master the site safety condition in real time.
While the present invention has been described in detail with reference to the preferred embodiments, it should be understood that the above description should not be taken as limiting the invention. Various modifications and alterations to this invention will become apparent to those skilled in the art upon reading the foregoing description. Accordingly, the scope of the invention should be determined from the following claims.
Claims (10)
1. The utility model provides a mountain disaster early warning monitoring devices based on machine vision, includes intelligent camera (1), electrical system (2), controlgear (3) and characteristic target (Q), its characterized in that:
the characteristic targets (Q) are arranged in the most dangerous area of the landslide indicated in the geological survey report and on two sides of the crack of the mountain;
the intelligent camera (1) is installed in a mountain sliding area and can observe the characteristic target (Q) installed in a to-be-detected area, an embedded software algorithm is built in the intelligent camera (1), image information of the installation position of the characteristic target (Q) used for monitoring mountain landslide and mountain cracks can be collected in real time, the position information of the characteristic target (Q) can be monitored, and the position information can be resolved and analyzed;
the electric control system (2) is installed on the periphery of the intelligent camera (1), is connected with the intelligent camera (1) and supplies power to the intelligent camera (1), transmits image information, position information and calculation and analysis results acquired by the intelligent camera (1) to the remote control equipment (3) connected with the cloud end for searching in a network mode, and the remote control equipment (3) performs information interaction with the electric control system (2) through the network.
2. The mountain disaster early warning and monitoring device as claimed in claim 1, wherein: the characteristic target (Q) comprises a characteristic target (Q1) used for monitoring landslide, the intelligent camera (1) monitors the position information of the characteristic target (Q1) and collects mountain image information at the position of the characteristic target (Q1), if the relative position of the intelligent camera (1) and the characteristic target (Q1) changes, the intelligent camera (1) resolves and analyzes the relative position information of the characteristic target (Q1) relative to the intelligent camera (1), calculates the real-time relative displacement change value and the relative displacement change rate of the characteristic target (Q1) relative to the intelligent camera (1), and when the relative displacement change value exceeds a preset sliding displacement threshold value or the relative displacement change rate exceeds a preset sliding rate threshold value, the electronic control system (2) sends the mountain image information collected by the intelligent camera (1), the position information of the characteristic target (Q1) and the result of the analysis to the cloud, and sends an alarm prompt to the remote control device (3).
3. The mountain disaster early warning and monitoring device as claimed in claim 2, wherein: the remote control equipment (3) is used for calling mountain image information collected by the intelligent camera (1) in an alarm time period, and can also be used for remotely interacting information with the electric control system (2) to obtain the latest mountain image information so as to further determine the risk of mountain landslide.
4. The mountain disaster early warning and monitoring device as claimed in claim 2, wherein: the sliding displacement threshold value and the sliding speed threshold value are determined according to the geographical position of the mountain and the local environment.
5. The mountain disaster early warning and monitoring device as claimed in claim 1, wherein: the characteristic targets (Q) comprise characteristic targets (Q2 and Q3) used for monitoring the cracking degree of the mountain cracks and installed on two sides of the cracks, the intelligent camera (1) monitors the position information of the characteristic targets (Q2 and Q3) and collects crack image information of the characteristic targets (Q2 and Q3), if the absolute positions of the characteristic targets (Q2 and Q3) on the two sides of the cracks are changed, the intelligent camera (1) carries out resolving analysis on the absolute position information between the characteristic targets (Q2 and Q3) on the two sides of the cracks, the real-time spacing distance between the characteristic targets (Q2 and Q3) on the two sides of the cracks is calculated, the difference value is made between the real-time spacing distance and the initial spacing distance, and when the difference value of the real-time spacing distance and the initial spacing distance exceeds a preset crack width threshold value, the electronic control system (2) enables the crack image information collected by the intelligent camera (1) to be more, The position information of the characteristic targets (Q2 and Q3) and the result of the resolving analysis are sent to the cloud, and an alarm prompt is sent to the remote control device (3).
6. The mountain disaster early warning and monitoring device as claimed in claim 5, wherein: the remote control device (3) is used for calling crack image information collected by the intelligent camera (1) in an alarm time period and also can be used for remotely interacting information with the electric control system (2) to obtain the latest crack image information so as to further determine the risk of crack cracking.
7. The mountain disaster early warning and monitoring device as claimed in claim 5, wherein: the crack width threshold is determined according to the geographical position of the mountain and the local environment.
8. The mountain disaster warning and monitoring device as claimed in any one of claims 1-7, wherein: the characteristic targets (Q1, Q2, Q3) are infrared characteristic targets which can be identified by the intelligent camera (1) at night and in rainy and foggy days.
9. The warning and monitoring method of the mountain disaster warning and monitoring device as claimed in any one of claims 1-8, wherein the method is implemented according to the following steps:
1) according to a geological survey report, a plurality of sliding ranges are divided on a measured mountain body, and the most dangerous area in each sliding range is found out;
2) installing infrared characteristic targets (Q1) in the most dangerous area of each sliding range, searching for cracks in the most dangerous area, and installing infrared characteristic targets (Q2, Q3) on two sides of the cracks;
3) outside the most dangerous area, finding out any sliding area with a sliding speed different from that of the most dangerous area according to a geological survey report, respectively installing an intelligent camera (1) and an electric control system (2) in the sliding area, and connecting the intelligent camera (1) with the electric control system (2) through a cable;
4) opening a switch of the electric control system (2), switching on a system power supply and a network, and adjusting the focal length of the intelligent camera (1) to enable the intelligent camera to observe all infrared characteristic targets (Q1, Q2 and Q3) in the most dangerous area;
5) the control equipment (3) is connected with the intelligent camera (1) through Bluetooth or a network, and sets parameters such as the acquisition frequency, the alarm value (a sliding displacement threshold value, a sliding speed threshold value, a crack width threshold value) and the like of the intelligent camera (1);
6) the intelligent camera (1) collects initial position information of the infrared characteristic targets (Q1, Q2 and Q3) and obtains initial position information P1 of the infrared characteristic target (Q1) for monitoring landslideInitialAnd infrared characteristic target (Q2, Q3) initial position information P2 for monitoring cracking degree of mountain cracksInitialAnd P3Initial，P2InitialAnd P3InitialThe difference value of the position data is the initial spacing distance of the infrared characteristic targets (Q2, Q3);
7) the intelligent camera (1) enters a monitoring state and respectively monitors landslide and mountain cracks;
monitoring landslide: the intelligent camera (1) monitors real-time position information P1 of an infrared characteristic target (Q1) according to a set sampling frequency and collects mountain image information at the infrared characteristic target (Q1), if the relative position of the intelligent camera (1) and the infrared characteristic target (Q1) changes, the intelligent camera (1) carries out resolving analysis on the relative position information of the infrared characteristic target (Q1) relative to the intelligent camera (1), calculates a real-time relative displacement change value and a relative displacement change rate of the infrared characteristic target (Q1) relative to the intelligent camera (1), and when the relative displacement change value exceeds a preset sliding displacement threshold value or the relative displacement change rate exceeds a preset sliding rate threshold value, the electronic control system (2) sends the mountain image information collected by the intelligent camera (1), the infrared characteristic target (Q1) position information and the resolving analysis result to the cloud, and sends out an alarm prompt to the remote control device (3);
monitoring the mountain cracks: the method comprises the steps that an intelligent camera (1) monitors real-time position information P2 and P3 of infrared characteristic targets (Q2 and Q3) according to a set sampling frequency, crack image information at the positions of the infrared characteristic targets (Q2 and Q3) is collected, a position data difference value of P2 and P3 is a real-time interval distance between the characteristic targets (Q2 and Q3) on two sides of a crack, the real-time interval distance and an initial interval distance are used for making a difference value, and when the difference value exceeds a preset crack width threshold value, an electric control system (2) sends crack image information, characteristic target (Q2 and Q3) position information and resolving analysis results collected by the intelligent camera (1) to a cloud side and sends an alarm prompt to a remote control device (3).
10. The mountain disaster warning and monitoring method as claimed in claim 9, further comprising step 8): after the remote control device (3) receives the alarm prompt, mountain image information or crack image information acquired by the intelligent camera (1) in the alarm time period can be adjusted, and information interaction can be remotely carried out with the electric control system (2) to acquire the latest mountain image information or the latest crack image information so as to further determine the risk of landslide or crack cracking.
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