CN216751763U - Accident site information acquisition intelligent system - Google Patents
Accident site information acquisition intelligent system Download PDFInfo
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- CN216751763U CN216751763U CN202220486502.XU CN202220486502U CN216751763U CN 216751763 U CN216751763 U CN 216751763U CN 202220486502 U CN202220486502 U CN 202220486502U CN 216751763 U CN216751763 U CN 216751763U
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Abstract
The utility model discloses an intelligent system for acquiring accident scene information, which comprises: the camera system is connected with the central processing unit and is used for acquiring images through the accident scene; the unmanned aerial vehicle is matched with the camera system for image acquisition; the intelligent identification module is used for analyzing the information shot by the camera system and identifying life and dangerous substances in an accident scene; the positioning module is used for recording a track formed in the flight process of the unmanned aerial vehicle; the sampling analysis system is connected with the unmanned aerial vehicle and is used for collecting samples and transmitting the analysis results of the samples to the command center; the central processing unit is connected with the detection system, the unmanned aerial vehicle, the positioning module, the intelligent identification module and the sampling analysis system and used for scheduling each module to normally work.
Description
Technical Field
The utility model relates to the technical field of information acquisition, in particular to an intelligent system for acquiring information of an accident scene.
Background
An unmanned aircraft, abbreviated as "drone", and abbreviated in english as "UAV", is an unmanned aircraft that is operated by a radio remote control device and a self-contained program control device, or is operated autonomously, either completely or intermittently, by an onboard computer. Drones tend to be more suitable for tasks that are too "fool, dirty, or dangerous" than are manned aircraft. Unmanned aerial vehicles can be classified into military and civil applications according to the application field. For military use, unmanned aerial vehicles divide into reconnaissance aircraft and target drone. In the civil aspect, the unmanned aerial vehicle + industry application is currently applied in the fields of aerial photography, agriculture, plant protection, miniature self-timer, express transportation, disaster relief, wild animal observation, infectious disease monitoring, surveying and mapping, news reporting, power inspection, disaster relief, movie and television shooting, romantic manufacturing and the like, the application of the unmanned aerial vehicle is greatly expanded, and developed countries actively expand the industry application and develop the unmanned aerial vehicle technology.
Toxic and harmful substances can be generated on the accident site, and secondary accidents such as rescue personnel casualty can be caused if the substances are treated on the site by blind entry. The emergency field information source of the field emergency department emergency command vehicle mainly depends on emergency rescuers wearing biochemical suits, handheld detectors and cameras, and the field personnel aim the cameras at the detectors to transmit detected data to the emergency command vehicle. Although manual entry into the field to collect relevant data is of great help for emergency command, the field environment is complex, manual entry is always risky, entry time is short, and multiple entries for a long time are inconvenient.
SUMMERY OF THE UTILITY MODEL
The utility model aims to overcome the defects in the prior art and provides an intelligent accident scene information acquisition system capable of improving safety.
The purpose of the utility model is realized by the following technical scheme:
an intelligent system for acquiring information of an accident scene, comprising:
the camera system is connected with the central processing unit and is used for acquiring images through the accident scene;
the unmanned aerial vehicle is matched with the camera system to acquire images;
the intelligent identification module is used for analyzing the information shot by the camera system and identifying life and dangerous substances in an accident scene;
the positioning module is used for recording a track formed in the flight process of the unmanned aerial vehicle;
the sampling analysis system is connected with the unmanned aerial vehicle and is used for collecting samples and transmitting the analysis results of the samples to the command center;
and the central processing unit is connected with the detection system, the unmanned aerial vehicle, the positioning module, the intelligent identification module and the sampling analysis system and used for scheduling each module to normally work.
Furthermore, an automatic sampling tool is arranged in the sampling analysis system and used for collecting harmful substances on the accident site.
Furthermore, a storage chip is further arranged in the positioning module and used for storing information shot by the flight track of the unmanned aerial vehicle and the camera system.
Furthermore, a detection alarm instrument is arranged in the detection system and used for transmitting detection data and alarm signals to the central processing unit in real time.
Furthermore, the intelligent system for acquiring the information of the accident scene also comprises a communication module which is connected with the central processing unit and used for receiving and sending the detection data, the alarm signal and the sample analysis result to a command center.
Furthermore, the sampling analysis system comprises a gas sampling analysis module, the gas sampling analysis module is provided with a storage bin, and the central processing unit controls the storage bin to be closed.
Further, the sampling analysis system also comprises a liquid sampling analysis module, and the automatic sampling tool is used for placing liquid harmful substances into the liquid sampling analysis module.
Further, unmanned aerial vehicle is provided with the range finding and keeps away barrier module for detect the distance of unmanned aerial vehicle and barrier.
Compared with the prior art, the utility model has the following advantages and beneficial effects:
according to the utility model, through the combination of the detection system, the unmanned aerial vehicle, the positioning module, the intelligent identification module and the sampling analysis system, the problem of danger caused by manual entering an accident site is solved, the functions are comprehensive, the cost is lower, operators can easily master the system, optimization is performed on the basis of the unmanned aerial vehicle, the accuracy of data identification and acquisition is improved, the life safety of workers is ensured, the safety is improved, the sampling analysis system can simultaneously acquire liquid volatile matters and harmful liquid, and the acquisition is quicker.
Drawings
FIG. 1 is a block diagram of an intelligent system for acquiring information of an accident scene;
fig. 2 is a schematic view of an unmanned aerial vehicle.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the utility model and are not intended to limit the utility model.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is to be understood that the terms "comprises," "comprising," and "having" and any variations thereof in the description and claims of the utility model and the above-described drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
As shown in fig. 1 and 2, an intelligent system for acquiring information of an accident scene includes: the camera system 3 is connected with the central processing unit and used for identifying life and dangerous substances of an accident scene by acquiring images of the accident scene, shooting the periphery of the position where the unmanned aerial vehicle 1 passes through, realizing remote transportation and playback, and having local close-shot and high-definition functions on a suspicious object; the unmanned aerial vehicle 1 is matched with the camera system 3 to acquire images; the intelligent identification module is used for analyzing the information shot by the camera system 3; the positioning module is used for recording a track formed in the flying process of the unmanned aerial vehicle 1; the sampling analysis system 2 is connected with the unmanned aerial vehicle 1 and used for collecting samples and transmitting sample analysis results to a command center, harmful liquid is possibly generated in an accident site, and harmful substances need to be sampled and analyzed; and the central processing unit is connected with the detection system, the unmanned aerial vehicle 1, the positioning module, the intelligent identification module and the sampling analysis system 2 and used for scheduling each module to normally work.
Be provided with automatic sampling tool in the sample analysis system 2 for gather the harmful substance of scene of accident, utilize the automatic sampling tool automatic sampling of unmanned aerial vehicle 1, avoid the people to gather, contact the harmful substance.
Still be provided with memory chip in the orientation module for the information of storage unmanned aerial vehicle 1 flight track and camera system 3 shooting, especially under indoor complex environment, can clear up the specific position relevant data and the shooting condition of record harmful substance.
The detection system is internally provided with a detection alarm instrument for transmitting detection data and alarm signals to the central processing unit in real time, and different types of detection alarm instruments can be used according to actual conditions of accident sites, so that the detection system has the function of transmitting the detection data and the alarm signals in real time and remotely.
The intelligent accident site information acquisition system also comprises a communication module which is connected with the central processing unit and used for receiving and sending the detection data, the alarm signal and the sample analysis result to the command center.
Sample analytic system 2 includes gaseous sampling analysis module, and gaseous sampling analysis module is provided with stores the storehouse, and the central processing unit control stores the closure in storehouse, and when the chemical liquid volatilizeed harmful gas, gaseous sampling analysis module will store the storehouse and open, and gaseous entering stores the storehouse, and it is airtight to store the storehouse afterwards, and gaseous sampling storehouse carries out sample analysis to gas to with result ship command center.
In addition, sampling analysis system 2 still includes liquid sampling analysis module, and automatic sampling instrument puts liquid harmful substance into liquid acquisition analysis module, carries out the analysis to liquid to with result ship command center.
The unmanned aerial vehicle 1 is provided with a distance measurement obstacle avoidance module for detecting the distance between the unmanned aerial vehicle 1 and an obstacle, the distance measurement obstacle avoidance module can be a combination of an RGB (red, green and blue) camera, an infrared sensor and an infrared laser projector, and the RGB camera shoots a 2D (two-dimensional) image of an object in front; the infrared sensor emits infrared rays, and different reflection intensities are generated due to different distances when the infrared sensor meets an object; the infrared laser projector receives infrared rays reflected by an external object, calculates the distance according to the reflection intensity, and combines the data of the three groups of modules together to construct a 3D image of the external object, so that the functions of distance measurement and obstacle avoidance are realized; the distance measurement and obstacle avoidance module can also adopt a double-camera sensor to measure and calculate the distance, and takes an infrared sensor as an assistant, the distance measurement principle of the double-camera is similar to the eyes of a person, the included angle between an obstacle and the sensor is measured through the difference of the two groups of lenses for finding a view, and then the distance is calculated according to an algorithm. The binocular ranging speed is faster and faster due to the fact that the resolution of the photosensitive element is higher and higher.
The working principle of the utility model is as follows:
when the accident happens, the staff controls unmanned aerial vehicle 1 at command center and gets into the scene of the accident, detecting system detects according to the scene of the accident, camera system 3 shoots, intelligent recognition module discerns the information of shooing, when discovering harmful substance, the detection alarm sends alarm signal, orientation module records the concrete position of harmful substance, sample analytic system 2 carries out the analysis to the harmful substance at the scene of the accident, central control unit passes through communication module with data and carries to command center, realize a scene of the accident information collection intelligent system, can protect staff's personal safety, the security is improved, sample analytic system 2 can gather liquid volatile matter and harmful liquid simultaneously, it is faster to gather.
It should be understood that the detailed description and specific examples, while indicating preferred embodiments of the utility model and principles employed, are given by way of illustration only, since various changes, modifications, substitutions, combinations, and omissions, as well as other changes, modifications, substitutions, and alterations herein, which may occur to those skilled in the art and which are intended to be within the scope of this disclosure and are intended to be encompassed by the appended claims.
Claims (8)
1. An intelligent system for acquiring information of an accident scene, which is characterized by comprising:
the camera system is connected with the central processing unit and is used for collecting images through the accident scene;
the unmanned aerial vehicle is matched with the camera system for image acquisition;
the intelligent identification module is used for analyzing the information shot by the camera system and identifying life and dangerous substances in an accident scene;
the positioning module is used for recording a track formed in the flight process of the unmanned aerial vehicle;
the sampling analysis system is connected with the unmanned aerial vehicle and is used for collecting samples and transmitting the analysis results of the samples to the command center;
and the central processing unit is connected with the detection system, the unmanned aerial vehicle, the positioning module, the intelligent identification module and the sampling analysis system and is used for scheduling each module to normally work.
2. The intelligent incident scene information acquisition system according to claim 1, wherein: and an automatic sampling tool is arranged in the sampling analysis system and is used for collecting harmful substances on the accident site.
3. The intelligent incident scene information acquisition system according to claim 2, wherein: and a storage chip is further arranged in the positioning module and used for storing the information shot by the unmanned aerial vehicle flight track and the camera system.
4. The intelligent incident scene information acquisition system according to claim 3, wherein: and a detection alarm instrument is arranged in the detection system and used for transmitting detection data and alarm signals to the central processing unit in real time.
5. The intelligent incident scene information acquisition system according to claim 4, wherein: the intelligent accident scene information acquisition system further comprises a communication module which is connected with the central processing unit and used for receiving and sending the detection data, the alarm signal and the sample analysis result to the command center.
6. The intelligent incident scene information acquisition system according to claim 5, wherein: the sampling analysis system comprises a gas sampling analysis module, the gas sampling analysis module is provided with a storage bin, and the central processing unit controls the storage bin to be closed.
7. The intelligent incident scene information acquisition system according to claim 6, wherein: the sampling analysis system further comprises a liquid sampling analysis module, and the automatic sampling tool is used for placing liquid harmful substances into the liquid sampling analysis module.
8. The intelligent incident scene information acquisition system according to claim 7, wherein: unmanned aerial vehicle is provided with the range finding and keeps away barrier module for detect the distance of unmanned aerial vehicle and barrier.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202220486502.XU CN216751763U (en) | 2022-03-08 | 2022-03-08 | Accident site information acquisition intelligent system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202220486502.XU CN216751763U (en) | 2022-03-08 | 2022-03-08 | Accident site information acquisition intelligent system |
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| CN216751763U true CN216751763U (en) | 2022-06-14 |
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| CN202220486502.XU Active CN216751763U (en) | 2022-03-08 | 2022-03-08 | Accident site information acquisition intelligent system |
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