Alarm device integrating lightweight displacement monitoring and AI recognition

Abstract

The invention provides an alarm device integrating lightweight displacement monitoring and AI recognition. The alarm device comprises a deformation high-precision monitoring camera device, an alarm control all-in-one machine, an alarm device and a solar power supply device. Wherein the alarm control all-in-one machine analyzes image displacement information collected by the camera device through a built-in intelligent analysis technology so as to trigger the alarm device to respond when displacement data is abnormal; and carrying out edge calculation on the collected video and picture data through an AI disaster recognition algorithm so as to trigger an alarm device to respond when the displacement data is abnormal. The device not only can provide disaster early warning according to displacement monitoring data before a disaster occurs, but also has the capabilities of quickly identifying an accident site and fully automatically triggering an alarm device after the disaster occurs, so that the occurrence of accidents is greatly reduced, the accident response efficiency is improved, and secondary casualties caused by untimely response are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of highway disaster alarms, and in particular to a device integrating lightweight displacement monitoring and AI recognition and alarm. Background Art

[0002] The rapid development of information technology, especially the widespread application of GPS / Beidou positioning systems, has greatly promoted the advancement of structural hazard warning technology. However, despite the advanced technology, its high cost has become an obstacle to popularization. Especially for transportation infrastructure such as highway bridges, the high cost limits the scope of application of these technologies, resulting in the inability to monitor and warn of comprehensive risks of highway bridges. The consequences of this limitation are serious. Therefore, highway bridge collapses have been common in recent years. In addition, when collapse accidents occur at night or in areas with limited vision such as turns, it is difficult for subsequent vehicles to detect the danger ahead in time, which often causes a chain reaction and increases casualties.

[0003] In this regard, the existing Chinese invention patent with application number 202310948226.3 identifies road anomalies based on AI recognition and alarms, and the invention patent with application number CN202310948226.3 captures data displacement comparison and analysis through a camera to the IoT video gateway, and the platform issues early warning information. The combination of the two can realize early warning technology based on displacement monitoring and AI recognition, but the combination of the two cannot distinguish between disaster warnings (disasters are predicted but not occurring) and sudden disasters and trigger different mechanisms. When a disaster breaks out, an alarm is only issued on the system platform, and it is impossible to issue a risk avoidance alarm in time at the disaster site, and secondary casualties cannot be avoided. The invention patent with application number CN202310894365.2 monitors and warns geological disasters by deploying sensors, and develops emergency rescue commands. Inventions with application numbers CN202410893656.4 and CN202310113144.7 mostly use AI to identify potential hidden dangers and provide early warning of disasters. However, when a disaster occurs, the above-mentioned technical inventions cannot identify and automatically trigger the alarm mechanism of the disaster-prone road section to warn passing vehicles. The patent with application number CN202120464392.2 proposes an automatic alarm device for accident-prone sections on the side of a highway, which can issue an alarm in time to remind drivers to pay attention to disasters ahead, but cannot warn of disasters before they occur.

[0004] In summary, although the existing technology uses AI recognition to identify disasters, it cannot achieve early warning before a disaster occurs or comprehensive alarm after a disaster occurs. Therefore, it is still necessary to propose a device that integrates lightweight displacement monitoring and AI recognition and alarm, which can provide early warning before a disaster at a low cost and lightweight, and quickly identify and alarm after a disaster. Summary of the invention

[0005] In view of the above, it is necessary to provide a device that integrates lightweight displacement monitoring and AI recognition and alarm. This device can not only provide disaster warnings based on displacement monitoring data before a disaster occurs, but also has the ability to quickly identify the accident scene and automatically trigger the alarm device after a disaster occurs, greatly reducing the occurrence of accidents, improving the efficiency of accident response, and reducing secondary casualties caused by untimely response.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is:

[0007] A device integrating lightweight displacement monitoring and AI recognition alarm, comprising a high-precision deformation monitoring camera device, an alarm control all-in-one machine, an alarm device and a solar power supply device;

[0008] The high-precision deformation monitoring camera device comprises a camera and a plurality of targets; the camera is installed on a highway line and is used to capture a panoramic view of the highway at the location; the target is an infrared passive target capable of emitting infrared light within the wavelength range received by the camera, and is provided with a filter for filtering infrared light that is not within the wavelength range received by the camera; the target is installed at a measuring point on the highway line, and the measuring points are mainly set at key stress-bearing sections of bridge structures, high-risk slopes, and screened risk points on the highway line; the camera can collect image displacement information of the target and send the collected image displacement information to the alarm control integrated machine;

[0009] The alarm control integrated machine is wirelessly connected to the camera and is used to receive data information collected by the camera, wherein the data information includes image displacement information of the target and video and picture data of the entire highway; the alarm control integrated machine has built-in data intelligent analysis technology and AI disaster identification algorithm; wherein the collected image displacement information is analyzed by intelligent analysis technology to analyze whether the displacement data of the target is abnormal, and the alarm control integrated machine triggers the alarm device to respond when the displacement data is analyzed to be abnormal; the collected video and picture data are edge calculated by the AI ​​disaster identification algorithm to analyze whether a disaster event occurs in the infrastructure on the highway line, and the alarm control integrated machine triggers the alarm device to respond when the displacement data is analyzed to be abnormal;

[0010] The alarm device is wirelessly connected to the alarm control integrated machine, which is installed on the highway line, and includes an audible and visual alarm module and an information board. The audible and visual alarm modules are installed at intervals on the highway line, and the information board is installed at the entrance and ramp of the highway;

[0011] The solar power supply device is connected with the camera, the alarm control integrated machine and the alarm device, and is used to provide power support for each power consumption module.

[0012] Preferably, the sound and light alarm module includes but is not limited to a tweeter, a strobe light, a red and green warning light, and a projection spotlight.

[0013] Preferably, the tweeter, strobe light, red and green warning light, and projection spotlight are independently arranged, and are also independently arranged from the information board.

[0014] Preferably, the alarm device has a manual control button, so as to manually trigger the start and stop of the alarm device through the manual control button.

[0015] Preferably, the alarm control integrated machine is connected to each alarm device via lora wireless communication.

[0016] Preferably, the alarm control integrated machine is also wirelessly connected to a monitoring center, and the monitoring center triggers an alarm device to respond via the alarm control integrated machine.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] 1. The present invention discloses a device integrating lightweight displacement monitoring and AI recognition and alarm. The device can not only provide disaster warning according to displacement monitoring data before a disaster occurs, but also has the ability to quickly identify the accident scene and automatically trigger the alarm device after the disaster occurs. This greatly reduces the occurrence of accidents, improves the efficiency of accident response, and reduces secondary casualties caused by untimely response.

[0019] 2. Compared with other real-time displacement monitoring equipment, the device of the present invention can realize real-time, all-weather, full-domain high-precision and intelligent measurement of deflection in strong light and complex environments outdoors, while achieving low cost and light weight, which is convenient for expanding the application market.

[0020] 3. The present invention has a simple structure, low cost, strong applicability and high promotion value. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a topological diagram of the displacement monitoring and early warning process of the device of the present invention;

[0022] Figure 2 It is a topological diagram of the disaster identification alarm process of the device of the present invention;

[0023] Figure 3 It is a comparison diagram of the collection effect under strong light when using a common passive target and the infrared passive target of the present invention.

[0024] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0025] See also Figure 1 to Figure 2In a preferred embodiment of the present invention, a device integrating lightweight displacement monitoring and AI recognition alarm includes a high-precision deformation monitoring camera device, an alarm control all-in-one machine, an alarm device and a solar power supply device.

[0026] Among them, the deformation high-precision monitoring camera device includes a camera and multiple targets; the camera is installed on the highway line to shoot the panoramic view of the highway at the location; the target is an infrared passive target that can emit infrared light within the wavelength range received by the camera, and a filter is installed on it to filter infrared light that is not within the wavelength range received by the camera. The target is installed at the measuring point position of the highway line, and the measuring point is mainly set at the key stress section of the bridge structure on the highway line, high-risk slopes, and risk points that have been screened; the camera can collect the image displacement information of the target and send the collected image displacement information to the alarm control integrated machine. The deformation high-precision monitoring camera device is based on machine vision and uses advanced optical image combination technology. Through high-precision sub-pixel algorithms, it can calculate and monitor the image displacement of the target in real time, realizing all-weather, full-domain, low-cost, and lightweight intelligent displacement monitoring. In the present invention, the camera not only monitors the displacement data of the target point, but also takes all-weather photos of the highway to obtain various image information, which is convenient for subsequent data analysis. The target is an infrared passive target, which does not require the laying of wires and power supply and is easy to install. The infrared passive target is based on the sensitivity analysis of the high-definition camera to the solar spectrum to obtain the optimal receiving wavelength of the receiver, and thus develop an infrared light target with a specific wavelength as the infrared passive target of the present invention. That is, the infrared passive target can emit infrared light, and the wavelength of the emitted infrared light is within the wavelength range received by the camera. In this way, in a complex environment, the camera can receive the infrared light of the target as quickly and easily as possible, and accurately capture the target image; at the same time, a filter that is prone to misidentification bands is added to filter out excess light, that is, the filter can filter out other infrared light whose wavelength is not within the wavelength range of the infrared light emitted by the infrared passive target, and only recognize the infrared light of the target, so that the camera can accurately recognize the target without being disturbed by the imaging of other objects. Therefore, the present invention can effectively solve the problem of directional collection of light waves emitted by the receiver under the interference of sunlight, improve the effective measurement distance of the equipment, and realize accurate recognition and judgment of the edge of the target. The collection effect of the infrared passive target of the present invention and that of the ordinary passive target under strong light is compared as follows Figure 2As shown, Figure (a) is a rendering of a common passive target, and Figure (b) is a rendering of an infrared passive target. In addition, it should be noted that a camera set up on a section of a highway can collect multiple targets on the route, that is, the deformation high-precision monitoring camera device of the present invention can realize a measurement method in which one acquisition device corresponds to multiple targets (measurement points), and by improving the measurement accuracy of the effective measurement distance and the strong light environment, the multi-point measurement cost is significantly reduced without significantly increasing the single-point measurement cost.

[0027] The alarm control integrated machine is wirelessly connected to the camera and is used to receive data information collected by the camera, and the data information includes the image displacement information of the target, the video and picture data of the entire highway; the alarm control integrated machine has built-in data intelligent analysis technology and AI disaster identification algorithm; wherein, the collected image displacement information is analyzed by intelligent analysis technology to analyze whether the displacement data of the target is abnormal, and the alarm control integrated machine triggers the alarm device to respond when the displacement data is analyzed to be abnormal; the collected video and picture data are edge calculated by the AI ​​disaster identification algorithm to analyze whether there is a disaster event in the infrastructure on the highway line, and the alarm control integrated machine triggers the alarm device to respond when the displacement data is analyzed to be abnormal. That is, the alarm control integrated machine of the present invention, as the center of data collection and processing, can analyze the displacement data monitored by the camera, automatically trigger the alarm device when the displacement is abnormal, so as to warn of the disaster; in addition, it can also carry out edge calculation on the image data collected by the camera, and when a disaster breaks out, it can quickly identify it and automatically trigger the alarm device; thereby realizing the early warning of the disaster and the alarm after the disaster occurs. In the present invention, the data intelligent analysis technology used is a prior art, which is applied in utility model CN206784456U. AI disaster identification algorithm is also a prior art.

[0028] The alarm device is wirelessly connected to the alarm control integrated machine, which is installed on the highway route, including an audio-visual alarm module and an information board. The audio-visual alarm modules are installed at intervals on the highway route, and the information board is installed at the entrance and ramp of the highway. The audio-visual alarm module warns the passing vehicles through the audio-visual alarm method to remind nearby vehicles to take emergency braking and avoidance measures, which include but are not limited to tweeters, flashing lights, red and green warning lights, and projection spotlights. The information board is installed at the entrance and ramp of the highway, and is quickly opened after the disaster occurs to remind the vehicles on the driving route to take departure and diversion measures. The tweeters, flashing lights, red and green warning lights, and projection spotlights are independently set, and are also independently set from the information board. In this way, if a certain alarm module or information board is damaged and cannot work, it will not affect the operation of other alarm devices. Preferably, the alarm control integrated machine is connected to each alarm device through lora wireless communication.

[0029] The solar power supply device is connected with the camera, the alarm control integrated machine, and the alarm device to provide power support for each power module, which specifically includes a solar photovoltaic panel and a solar controller. It should be noted that in actual application installation, the solar power supply device, the camera, and the alarm control integrated machine at the same position can be installed together through the main control pole, or the camera can be placed alone on one side of the main control pole.

[0030] In this embodiment, the alarm device has a manual control button, so as to manually trigger the start and stop of the alarm device through the manual control button. In addition, the alarm control integrated machine is also wirelessly connected to the monitoring center, and the monitoring center triggers the alarm device accordingly through the alarm control integrated machine. In this way, the information collected by the camera of the present invention can also be uploaded to the monitoring center for viewing, which is convenient for the people in the monitoring center to view and manually control the alarm device to sound an alarm when a disaster is found. Therefore, through the above-mentioned settings, the triggering mechanism of the alarm device of the present invention is divided into three parts, one of which is fully automatic triggering, which is automatically triggered by the alarm control integrated machine after judging the displacement abnormality or identifying the disaster; the second is human-machine interactive triggering, which is transmitted to the monitoring center through the cloud after the early warning or alarm, and the monitoring personnel triggers or releases the alarm mechanism after retrieving the on-site picture for secondary confirmation, so as to prevent unnecessary losses caused by misjudgment; the third is manual triggering, which can be manually triggered or released by the monitoring center or on-site, so as to facilitate the on-site staff to intervene and deal with it and release the alarm.

[0031] The above description is a detailed description of the preferred feasible embodiments of the present invention, but the embodiments are not intended to limit the scope of the patent application of the present invention. All equivalent changes or modified changes completed under the technical spirit suggested by the present invention should fall within the patent scope covered by the present invention.

Claims

1. A device integrating lightweight displacement monitoring and AI recognition alarm, characterized in that: It includes a high-precision deformation monitoring camera device, an alarm control all-in-one machine, an alarm device and a solar power supply device; The high-precision deformation monitoring camera device comprises a camera and a plurality of targets; the camera is installed on a highway line and is used to capture a panoramic view of the highway at the location; the target is an infrared passive target capable of emitting infrared light within the wavelength range received by the camera, and is provided with a filter for filtering infrared light that is not within the wavelength range received by the camera; the target is installed at a measuring point on the highway line, and the measuring points are mainly set at key stress-bearing sections of bridge structures, high-risk slopes, and screened risk points on the highway line; the camera can collect image displacement information of the target and send the collected image displacement information to the alarm control integrated machine; The alarm control integrated machine is wirelessly connected to the camera and is used to receive data information collected by the camera, wherein the data information includes image displacement information of the target and video and picture data of the entire highway; the alarm control integrated machine has built-in data intelligent analysis technology and AI disaster identification algorithm; wherein the collected image displacement information is analyzed by intelligent analysis technology to analyze whether the displacement data of the target is abnormal, and the alarm control integrated machine triggers the alarm device to respond when the displacement data is analyzed to be abnormal; the collected video and picture data are edge calculated by the AI ​​disaster identification algorithm to analyze whether a disaster event occurs in the infrastructure on the highway line, and the alarm control integrated machine triggers the alarm device to respond when the displacement data is analyzed to be abnormal; The alarm device is wirelessly connected to the alarm control integrated machine, which is installed on the highway line, and includes an audible and visual alarm module and an information board. The audible and visual alarm modules are installed at intervals on the highway line, and the information board is installed at the entrance and ramp of the highway; The solar power supply device is connected with the camera, the alarm control integrated machine and the alarm device, and is used to provide power support for each power consumption module.

2. The device for integrating lightweight displacement monitoring and AI recognition alarm according to claim 1, characterized in that: The sound and light alarm module includes but is not limited to a tweeter, a flashing light, a red and green warning light, and a projection spotlight.

3. The device for integrating lightweight displacement monitoring and AI recognition alarm according to claim 1, characterized in that: The tweeter, strobe light, red and green warning light, and projection spotlight are independently arranged, and are also independently arranged from the information board.

4. The device for integrating lightweight displacement monitoring and AI recognition alarm according to claim 1, characterized in that: The alarm device has a manual control button, through which the start and stop of the alarm device can be manually triggered.

5. The device for integrating lightweight displacement monitoring and AI recognition alarm according to claim 1, characterized in that: The alarm control integrated machine is connected with each alarm device via LoRa wireless communication.

6. The device for integrating lightweight displacement monitoring and AI recognition alarm according to claim 1, characterized in that: The alarm control integrated machine is also wirelessly connected to a monitoring center, and the monitoring center triggers an alarm device to respond via the alarm control integrated machine.

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