Automatic rescue system and method

Abstract

The invention discloses an automatic rescue system and method, and relates to the technical field of automatic rescue. The automatic rescue system comprises an information acquisition module, an early warning module and a rescue platform. Wherein the information acquisition module is used for acquiring audio and video information in a target area and automatically identifying whether the audio and video information contains sensitive information or not; the early warning module is used for receiving the sensitive information and determining an occurrence position corresponding to the sensitive information; the early warning module is also used for carrying out dangerous case analysis on the occurrence position, and if a preset dangerous case occurs at the occurrence position, determining the type of the dangerous case; and the rescue platform is used for executing a corresponding rescue strategy according to the dangerous case type. By adopting the above technical scheme, the system has the advantages of real-time monitoring, rapid early warning, manpower resource saving and rescue efficiency improvement.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic rescue, and in particular to an automatic rescue system and method. Background Art

[0002] In today's society, various dangerous situations occur frequently, posing a huge threat to people's lives and property safety. Many traditional rescue scenarios rely on manual monitoring of dangerous situations. For example, in some remote areas such as mountainous areas and waterfront areas, forest rangers and patrol personnel rely on the naked eye to observe whether there are any abnormalities in the surrounding environment. However, human attention is limited and it is impossible to concentrate 24 hours a day. In addition, these areas are vast. Once a dangerous situation such as drowning occurs, it often takes a lot of precious time from discovering the abnormality to reporting it and organizing rescue, and the best time for rescue is missed. Summary of the invention

[0003] The purpose of the present invention is to provide an automatic rescue system and method in view of the defects and shortcomings of the prior art, which has the advantages of real-time monitoring, rapid warning, saving human resources and improving rescue efficiency.

[0004] To achieve the above object, the technical solution adopted by the present invention is: an automatic rescue system, comprising:

[0005] An information collection module is used to collect audio and video information in the target area and automatically identify whether the audio and video information contains sensitive information;

[0006] An early warning module, used to receive the sensitive information and determine the occurrence location of the sensitive information;

[0007] The early warning module is also used to analyze the danger at the occurrence location, and if a preset danger occurs at the occurrence location, determine the type of danger;

[0008] The rescue platform is used to execute corresponding rescue strategies according to the type of dangerous situation.

[0009] The present invention is further arranged that the information acquisition module includes: a sound acquisition unit, an image acquisition unit, an information recognition unit and a transmission unit; the sound acquisition unit and the image acquisition unit collect audio information and video information in the target area in real time, and when the information recognition unit recognizes that the audio information and / or the video information contains sensitive information, the sensitive information is transmitted to the early warning module via the transmission unit.

[0010] The present invention further provides that the early warning module includes: a receiving unit and a positioning unit; the receiving unit is used to receive the sensitive information; the positioning unit is used to locate the occurrence location of the sensitive information.

[0011] The present invention is further arranged that the early warning module also includes: an analysis and comparison unit and an environmental analysis unit; the analysis and comparison unit compares the audio and video information of the occurrence location with the comparison data in real time, and when actions and / or sounds that are the same or similar to the comparison data appear, it is determined that a preset dangerous situation occurs at the occurrence location; the environmental analysis unit analyzes and determines the type of dangerous situation based on the environment of the occurrence location and the audio and video information of the occurrence location, and sends the dangerous situation type to the rescue platform.

[0012] The present invention is further arranged that the early warning module also includes: an alarm unit for emitting an alarm sound; when the analysis and comparison unit determines that a preset dangerous situation occurs at the occurrence location, the alarm unit emits an alarm sound to remind people in the target area.

[0013] The present invention further provides that the rescue platform includes: a rescue unit and a control unit; the control unit issues a dispatch instruction to the rescue unit according to the positioning information of the occurrence location and the type of danger, and the rescue unit formulates and executes a rescue strategy according to the positioning information and the type of danger.

[0014] The present invention further provides that the rescue unit remotely controls the drone to execute the rescue strategy.

[0015] The present invention is further provided that the rescue platform also includes: an emergency unit for executing corresponding emergency strategies according to the dangerous situation; the emergency unit compares the audio and video information of the occurrence location after the rescue unit implements the rescue strategy with the comparison data in real time, and when actions and / or sounds that are the same or similar to the comparison data appear, it is determined that the dangerous situation has not been resolved, and the emergency strategy is executed.

[0016] To achieve the above object, another technical solution adopted by the present invention is: an automatic rescue method, which is applied to the automatic rescue system as described above, and the automatic rescue method comprises the following steps:

[0017] Collecting audio and video information in the target area and identifying whether the audio and video information contains sensitive information;

[0018] Receiving the sensitive information, and determining the occurrence location corresponding to the sensitive information;

[0019] Performing a risk analysis on the occurrence location, and if a preset risk occurs at the occurrence location, determining the risk type;

[0020] Execute corresponding rescue strategies according to the dangerous situation type.

[0021] After adopting the above technical solution, the beneficial effects of the present invention are as follows: In the present invention, the information collection module is used to collect audio and video information in the target area to monitor the situation in the target area in real time, prevent the occurrence of emergencies, and do not require personnel to monitor 24 hours a day, saving human resources. When sensitive information is automatically identified as contained in the audio and video information, the early warning system is triggered to determine the location of the occurrence corresponding to the sensitive information, and to promptly discover emergencies and quickly warn. At the same time, the early warning module analyzes the danger at the location of the occurrence. If a preset danger occurs at the location of the occurrence, the type of danger is determined, so that the rescue platform can execute accurate and effective rescue strategies according to the type of danger, thereby improving the efficiency and effectiveness of the rescue. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0023] Figure 1 It is a schematic diagram of the structure of the present invention;

[0024] Figure 2 It is a structural diagram of the information acquisition module;

[0025] Figure 3 It is a structural diagram of the early warning module;

[0026] Figure 4 It is a schematic diagram of the structure of the rescue platform;

[0027] Figure 5 It is a flow chart of the automatic rescue method.

[0028] Explanation of the accompanying drawings: 100, information collection module; 110, sound collection unit; 120, image collection unit; 130, information recognition unit; 140, transmission unit; 200, early warning module; 210, receiving unit; 220, positioning unit; 230, analysis and comparison unit; 240, environmental analysis unit; 250, alarm unit; 300, rescue platform; 310, control unit; 320, rescue unit; 330, emergency unit. DETAILED DESCRIPTION

[0029] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0030] This specific embodiment is only an explanation of the present invention, and it is not a limitation of the present invention. After reading this specification, those skilled in the art can make non-creative modifications to this embodiment as needed, but as long as it is within the scope of the claims of the present invention, it is protected by the patent law.

[0031] This embodiment relates to an automatic rescue system. Figure 1 , including: an information collection module 100, an early warning module 200 and a rescue platform 300. Among them, the information collection module 100 is used to collect audio and video information in the target area and automatically identify whether the audio and video information contains sensitive information. The early warning module 200 is used to receive sensitive information and determine the location corresponding to the sensitive information; the early warning module 200 is also used to analyze the danger at the location, and if the preset danger occurs at the location, determine the type of danger. The rescue platform 300 is used to execute the corresponding rescue strategy according to the type of danger. Specifically, the information collection module 100 collects audio and video information in the target area in real time and automatically identifies whether the audio and video information contains sensitive information to ensure real-time monitoring and timely feedback, thereby improving the efficiency of discovering potential dangers in the target area, without arranging personnel to monitor the target area all day, and saving human resources. Among them, sensitive information includes but is not limited to: obvious distress messages such as "help", "save me", "help me", "call the police" and abnormal volume changes in audio information; and hand gestures such as raising hands, waving red cloth strips, clothes or arms in the video screen, and fierce body movements such as struggling in water; such as internationally used characters such as "SOS", etc. The setting of sensitive information can be adjusted and optimized according to different application scenarios and rescue needs. When similar sensitive information is identified, the sensitive information is sent to the early warning module 200, which receives the sensitive information and quickly locates it to achieve rapid early warning, provide accurate target locations for subsequent rescue operations, and improve rescue efficiency. At the same time, the early warning module 200 also analyzes the danger at the location of occurrence to confirm the authenticity of the danger and the specific circumstances of the danger. When it is confirmed that the preset danger occurs at the location of occurrence, the type of danger is determined, and the early warning module 200 sends the type of danger to the rescue platform 300, and the rescue platform 300 executes the corresponding rescue strategy according to the type of danger. The preset dangers include: drowning in water areas, accidental falls in mountainous and plateau areas, getting lost, and accidental entrapment in narrow areas. The purpose of setting the preset danger and determining the type of danger is to facilitate the rescue platform 300 to arrange and execute the corresponding rescue strategy in time according to the type of danger, so as to give the target person (the target person refers to: the person seeking help or the trapped person) the most accurate rescue and avoid delaying the best rescue time. This automatic rescue system has the advantages of real-time monitoring of the target area, all-day monitoring, rapid warning, saving human resources, accurately implementing rescue strategies, ensuring that the rescue strategy is adapted to the on-site conditions at the location of the occurrence, and scientific rescue.

[0032] In this embodiment, refer to Figure 2 The information collection module 100 includes: a sound collection unit 110, an image collection unit 120, an information recognition unit 130 and a transmission unit 140. The sound collection unit 110 and the image collection unit 120 collect audio information and video information in the target area in real time. When the information recognition unit 130 recognizes that the audio information and the video information contain sensitive information, the sensitive information is transmitted to the early warning module 200 via the transmission unit 140. In some embodiments, when the information recognition unit 130 recognizes that the audio information or the video information contains sensitive information, the sensitive information is transmitted to the early warning module 200 via the transmission unit 140. In this embodiment, the sound collection unit 110 and the image collection unit 120 can be implemented by a monitoring camera device. In this embodiment, a sensitive information library is pre-established in the information recognition unit 130. The information recognition unit 130 compares the audio information and the video information collected by the sound collection unit 110 and the image collection unit 120 with the sensitive information in the sensitive information library in real time. When similar or identical signals appear, the information is identified as sensitive information and transmitted to the early warning module 200. In this embodiment, the sound acquisition unit 110 and the image acquisition unit 120 collect information by installing a surveillance camera in the target area. When the camera detects abnormalities on the water surface or collects "help" sound information, it sends such sensitive information to the early warning module 200.

[0033] In this embodiment, refer to Figure 3 , the early warning module 200 includes: a receiving unit 210 and a positioning unit 220; the receiving unit 210 is used to receive sensitive information; the positioning unit 220 is used to locate the location of the sensitive information, so as to accurately determine the location of the sensitive information in different scenes (such as indoors, outdoors, open areas, complex terrain areas, etc.). In this embodiment, the positioning unit 220 adopts a multi-source information fusion positioning method for positioning, and assists in positioning with the features in the information collected by the sound collection unit 110 and the image collection unit 120. For sound information, the time difference between the sound reaching different collection points is used (such as by arranging multiple sound sensors at different positions, calculating the sound source position according to the sound wave propagation time difference, and using a method similar to triangulation positioning) to determine the direction of the sensitive information source. For image information, if there are recognizable landmark buildings, known scene layout elements, etc. in the picture, the specific location can be calculated by matching with pre-stored maps or geographic information data. At the same time, the location can be further refined by combining information such as the installation angle and field of view of the sensor, so as to improve the accuracy and reliability of positioning.

[0034] In this embodiment, refer to Figure 3, the early warning module 200 also includes: an analysis and comparison unit 230 and an environment analysis unit 240. The analysis and comparison unit 230 compares the audio and video information of the occurrence location with the comparison data in real time. When the action and / or sound that is the same or similar to the comparison data appears, it is determined that the occurrence location has a preset danger; the environment analysis unit 240 analyzes and determines the type of danger based on the environment of the occurrence location and the audio and video information of the occurrence location, and sends the type of danger to the rescue platform 300. Specifically, the analysis and comparison unit 230 stores a comparison database, and the comparison data in the comparison database mainly includes: action comparison data and sound comparison data. The action comparison data includes: common gestures for help and specific struggling actions such as struggling in water (irregular paddling of hands and feet, and floating up and down of the body). The sound comparison data includes: "help", "save me", "help me", "call the police" and other obvious help information and abnormal volume changes. The environment analysis unit 240 analyzes and determines the current environment of the target person based on the environment of the occurrence location and the audio and video information of the occurrence location, and determines the type of danger at the same time, so as to implement the corresponding rescue strategy. Types of dangerous situations include: drowning, accidental falls, etc.

[0035] In addition, in the present embodiment, the analysis and comparison unit 230 captures the facial expression of the target person in the occurrence position screen with the help of the image acquisition unit 120, analyzes the facial expression, and determines whether there is a dangerous situation, so as to avoid the situation that the target person cannot speak and the distress information cannot be conveyed under special circumstances. In some embodiments, the analysis and comparison unit 230 uses the image acquisition unit 120 and is equipped with remote photoplethysmography to capture subtle changes in skin color in real time using the image acquisition unit 120, which are related to the changes in blood volume caused by the heartbeat. In the video sequence acquired by the image acquisition unit 120, the intensity of the color channel (such as RGB) of each pixel will change periodically with the blood flow. By analyzing these changes, a signal related to the heart rate can be extracted, so as to directly analyze and compare the state of the target person according to the subtle changes in the skin color of the target person, so as to determine whether there is a dangerous situation.

[0036] In this embodiment, refer to Figure 3 The early warning module 200 further includes: an alarm unit 250 for sounding an alarm; when the analysis and comparison unit 230 determines that a preset danger occurs at the occurrence location, the alarm unit 250 sounds an alarm to alert personnel in the target area, so as to facilitate the nearby rescue of the target personnel and avoid delaying the rescue opportunity. When the target personnel are rescued and the analysis and comparison unit 230 determines that the preset danger no longer occurs at the occurrence location, the alarm unit 250 turns off the alarm.

[0037] Further, refer to Figure 4The rescue platform 300 includes: a rescue unit 320 and a control unit 310. The control unit 310 sends a dispatch instruction to the rescue unit 320 according to the positioning information of the location and the type of danger, and the rescue unit 320 formulates and executes a rescue strategy according to the positioning information and the type of danger. The rescue unit 320 remotely controls the drone to execute the rescue strategy. For example, when the type of danger is confirmed to be drowning, the rescue strategy formulated by the rescue unit 320 is to control the drone to execute the rescue plan, and the drone will drop buoyancy equipment such as lifebuoys, floating boards, and water rescue buoys to the drowning person. In addition, when the rescue unit 320 remotely controls the drone to implement the rescue plan, it also contacts the rescue station near the location of the occurrence. The drone can also be equipped with an automatic rope thrower. When it is found that the drowning person is a certain distance away from the shore or the rescue boat, the rope thrower can accurately throw the rope to the drowning person. The rope can be a buoyant rescue rope, one end of which is connected to the drone or a fixed object on the shore. After the drowning person grabs the rope, it is convenient for the rescuer to pull him to a safe area. After the drone executes the rescue strategy, it returns to the original position to charge and wait for the next dispatch instruction.

[0038] Furthermore, the rescue platform 300 also includes: an emergency unit 330 for executing corresponding emergency strategies according to the dangerous situation. The emergency unit 330 compares the audio and video information of the location after the rescue unit 320 implements the rescue strategy with the comparison data in real time. When the same or similar actions and / or sounds as the comparison data appear, it is determined that the dangerous situation has not been resolved, and the emergency strategy is executed. The role of the emergency unit 330 is to continuously monitor and ensure the rescue effect. The emergency strategy includes: dialing 110 and other rescue telephones and voice broadcasting the type of dangerous situation and the location of the target person.

[0039] This embodiment also involves an automatic rescue method, referring to Figure 5 The automatic rescue method is applied to the automatic rescue system as described above, and the automatic rescue method comprises the following steps:

[0040] In step S1, audio and video information in the target area is collected and whether the audio and video information contains sensitive information is identified;

[0041] In step S2, sensitive information is received and the occurrence location corresponding to the sensitive information is determined;

[0042] In step S3, the danger analysis is performed on the occurrence location, and if a preset danger occurs at the occurrence location, the type of danger is determined;

[0043] In step S4, a corresponding rescue strategy is executed according to the type of danger.

[0044] The above is only used to illustrate the technical solution of the present invention rather than to limit it. Other modifications or equivalent substitutions made to the technical solution of the present invention by ordinary technicians in this field should be included in the scope of the claims of the present invention as long as they do not depart from the spirit and scope of the technical solution of the present invention.

Claims

1. An automatic rescue system, characterized in that: include: An information collection module (100) is used to collect audio and video information in a target area and automatically identify whether the audio and video information contains sensitive information; An early warning module (200) is used to receive the sensitive information and determine the occurrence location corresponding to the sensitive information; The early warning module (200) is also used to perform a risk analysis on the occurrence location, and if a preset risk occurs at the occurrence location, determine the type of risk; The rescue platform (300) is used to execute a corresponding rescue strategy according to the type of dangerous situation.

2. The automatic rescue system according to claim 1, characterized in that: The information collection module (100) comprises: a sound collection unit (110), an image collection unit (120), an information recognition unit (130) and a transmission unit (140); the sound collection unit (110) and the image collection unit (120) collect audio information and video information in a target area in real time, and when the information recognition unit (130) recognizes that the audio information and / or the video information contain sensitive information, the sensitive information is transmitted to the early warning module (200) via the transmission unit (140).

3. The automatic rescue system according to claim 1, characterized in that: The early warning module (200) comprises: a receiving unit (210) and a positioning unit (220); the receiving unit (210) is used to receive the sensitive information; and the positioning unit (220) is used to locate the occurrence location of the sensitive information.

4. The automatic rescue system according to claim 3, characterized in that: The early warning module (200) further comprises: an analysis and comparison unit (230) and an environment analysis unit (240); the analysis and comparison unit (230) compares the audio and video information of the occurrence location with the comparison data in real time, and when an action and / or sound identical or similar to the comparison data appears, it is determined that a preset danger occurs at the occurrence location; the environment analysis unit (240) analyzes the environment of the occurrence location and the audio and video information of the occurrence location and determines the type of danger, and sends the type of danger to the rescue platform (300).

5. The automatic rescue system according to claim 4, characterized in that: The early warning module (200) further comprises: an alarm unit (250) for emitting an alarm sound; when the analysis and comparison unit (230) determines that a preset dangerous situation occurs at the occurrence location, the alarm unit (250) emits an alarm sound to alert personnel in the target area.

6. The automatic rescue system according to claim 1, characterized in that: The rescue platform (300) comprises: a rescue unit (320) and a control unit (310); the control unit (310) issues a dispatch instruction to the rescue unit (320) according to the positioning information of the occurrence location and the type of danger, and the rescue unit (320) formulates and executes a rescue strategy according to the positioning information and the type of danger.

7. The automatic rescue system according to claim 6, characterized in that: The rescue unit (320) remotely controls the drone to execute the rescue strategy.

8. The automatic rescue system according to claim 6, characterized in that: The rescue platform (300) further comprises: an emergency unit (330) for executing a corresponding emergency strategy according to the dangerous situation; the emergency unit (330) compares the audio and video information of the occurrence location after the rescue unit (320) implements the rescue strategy with the comparison data in real time, and when an action and / or sound identical or similar to the comparison data appears, it is determined that the dangerous situation has not been resolved, and the emergency strategy is executed.

9. An automatic rescue method, characterized in that: The automatic rescue method is applied to the automatic rescue system according to any one of claims 1 to 8, and the automatic rescue method comprises the following steps: Collecting audio and video information in the target area and identifying whether the audio and video information contains sensitive information; Receiving the sensitive information, and determining the occurrence location corresponding to the sensitive information; Performing a risk analysis on the occurrence location, and if a preset risk occurs at the occurrence location, determining the risk type; Execute corresponding rescue strategies according to the type of dangerous situation.

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