Campus floor safety early warning intelligent system
By installing image and voice sensors on campus floors, an intelligent early warning system has solved the problem of the inability to handle accidents in a timely manner in traditional campus security management, and has achieved intelligent early warning and efficient management of student activities.
Patent Information
- Application Number
- CN202520051098.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-09
- Publication Date
- 2026-01-02
- Estimated Expiration
- 2035-01-09
AI Technical Summary
Traditional campus safety management relies on student self-management, which cannot handle safety incidents in a timely manner and poses significant safety hazards.
The campus floor safety early warning intelligent system uses image and voice sensors to detect student activities, analyzes the data using a processing module, and sends early warning signals to safety management personnel under triggered conditions, including display and sound alerts.
This improved the efficiency of safety management personnel in handling student safety issues and reduced the occurrence of safety accidents.
Smart Images
Figure CN223757140U_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of batteries, in particular to a campus floor safety early warning intelligent system. BACKGROUND
[0002] In recent years, campus safety problems have attracted increasing attention from all sectors of society. Especially in the campus floor, due to students chasing and playing, accidentally approaching dangerous areas (such as window edges, stairways, etc.), resulting in falling, collision, and even falling accidents.
[0003] The traditional response can only be to strengthen student education and teach students more safety knowledge, and more rely on student self-management, which cannot avoid the occurrence of campus safety problems. When a safety accident occurs, safety management personnel cannot arrive at the scene in time to handle it, which has great safety hazards. CONTENT OF THE INVENTION
[0004] In order to solve the above problems, the present application provides a campus floor safety early warning intelligent system, which can realize the intelligent early warning function of campus floor safety and improve the processing efficiency of safety management personnel for students and their safety problems.
[0005] In a first aspect, the present application provides a campus floor safety early warning intelligent system, comprising:
[0006] A detection module comprising a sensor unit and a mounting assembly, the sensor unit comprising an image sensor and a voice sensor, for obtaining image signals and voice signals at the corridor; the mounting assembly comprises a mounting part and an adjusting part, the mounting part is mounted on the wall of the corridor, and the adjusting part is rotatably connected between the detection module and the image sensor and the voice sensor are arranged towards the corridor;
[0007] A processing module connected with the detection module, for acquiring and processing the image signals and voice signals to determine whether the image signals and voice signals trigger a target condition, and outputting an early warning signal; and
[0008] An early warning module connected with the processing module, comprising a display assembly and a loudspeaker, the display assembly and the loudspeaker are respectively connected with the processing module, for alarming and reminding through light display or sound according to the early warning signal.
[0009] In an embodiment, the sensor unit comprises a housing, one side of the housing is provided with an opening hole for mounting the image sensor and the voice sensor, and the other side of the housing is rotatably connected with the adjusting part.
[0010] In an embodiment, the sensor unit is further provided with a speed sensor connected with the processing module, for detecting the speed of the person moving and generating a speed signal.
[0011] In an embodiment, the processing module further comprises a face recognition unit for recognizing the face information in the image signal.
[0012] In an embodiment, the image sensor comprises a camera, and the camera faces the corridor.
[0013] In an embodiment, the sensor unit comprises a preprocessor, and the image sensor and the voice sensor are connected with the preprocessor and the processing module, and the preprocessor is used for pre-processing the image signal of the image sensor and the voice signal of the voice sensor.
[0014] In an embodiment, the processing module is specifically used for controlling the starting and closing of the image sensor and / or the voice sensor according to the speed signal.
[0015] In an embodiment, a wireless communication module for wireless communication is arranged between the detection module and the processing module.
[0016] In an embodiment, the wireless communication module comprises a WIFI module, a Bluetooth module or a cellular communication module.
[0017] In an embodiment, the sensor unit further comprises an infrared emitter-receiver.
[0018] In summary, the campus floor safety early warning intelligent system provided by the present application can install the image sensor and the voice sensor in the sensor unit on the wall of the corridor through the detection module comprising the sensor unit and the installation assembly, and make the image sensor and the voice sensor face the corridor through the installation assembly. By using the processing module and the early warning module, the image signal and the voice signal collected by the detection module can be analyzed and recognized, so as to timely judge whether the activity of the student in the corridor meets a specific trigger condition, and if so, the early warning module is used to alarm and remind the safety management personnel, so as to intelligently early warn the dangerous activity of the student. Through the above-mentioned manner, the activity of the student in the corridor can be intelligently early warned and managed through the system, and the processing efficiency of the safety management personnel on the student and the safety problem of the student is improved. BRIEF DESCRIPTION OF DRAWINGS
[0019] Fig. 1 The structural schematic diagram of the campus floor safety early warning intelligent system provided by the embodiment of the present application.
[0020] Fig. 2 The structural schematic diagram of the sensor unit provided by the embodiment of the present application.
[0021] Fig. 3 Another structural schematic view of the sensor unit provided for the embodiment of the present application.
[0022] Fig. 4 An application scenario schematic view of the campus floor safety early warning intelligent system provided for the embodiment of the present application.
[0023] Fig. 5 A functional framework schematic view of the campus floor safety early warning intelligent system provided for the embodiment of the present application.
[0024] Reference signs:
[0025] 10, detection module; 11, sensor unit; 12, mounting module; 111, image sensor; 112, voice sensor; 113, speed sensor; 114, infrared emitter-receiver; 121, mounting part; 122, adjusting part; 13, shell;
[0026] 20, processing module;
[0027] 30, early warning module; 31, display component; 32, loudspeaker;
[0028] 40, corridor. DETAILED DESCRIPTION
[0029] It should be noted that the embodiments in the present application and the technical features in the embodiments can be combined with each other without conflict, and the detailed description in the specific embodiments should be understood as the explanation and description of the purpose of the present application, and should not be regarded as improper limitation of the present application.
[0030] In order to make the purpose, technical scheme and advantages of the embodiments of the present application more clear, the specific technical scheme of the present application will be further described in detail below in combination with the drawings in the embodiments of the present application. The following embodiments are used to illustrate the present application, but not to limit the scope of the present application.
[0031] Please refer to Figs. 1-4 The present application discloses a campus floor safety early warning intelligent system, comprising a detection module 10, a processing module 20 and an early warning module 30.
[0032] The detection module 10 comprises a sensor unit 11 and a mounting component 12, the sensor unit 11 comprises an image sensor 111 and a voice sensor 112, which are used to obtain image signals and voice signals at the corridor 40. The mounting component 12 comprises a mounting part 121 and an adjusting part 122, the mounting part 121 is mounted on the wall of the corridor 40, the adjusting part 122 is rotationally connected between the detection module 10, and the image sensor 111 and the voice sensor 112 are arranged towards the corridor 40.
[0033] Specifically, the sensor unit 11 includes a housing 13, one side of which is provided with an opening for mounting an image sensor 111 and a voice sensor 112, and the other side of which is rotationally connected with an adjusting part 122.
[0034] The mounting part 121 can fix the detection module 10 to the wall of the corridor, and common fixing methods such as screws and buckles can be used. The adjusting part 122 can be connected with the housing 13 of the sensor unit 11 in the form of a guide rail or a ball head, so that the orientation of the sensor unit 11 can be adjusted. The image sensor 111 and the voice sensor 112 of the sensor unit 11 can be adjusted to face the corridor 40, so as to detect the actions, voices or faces of students. The specific implementation method is not limited. The image sensor 111 can use a camera as a means of image acquisition.
[0035] Further, the sensor unit 11 is also provided with a speed sensor 113 connected with the processing module 20, for detecting the speed of the moving person and generating a speed signal. The processing module 20 also includes a face recognition unit for recognizing face information in the image signal. The sensor unit 11 also includes an infrared emitter-receiver 114, which can be used to detect whether a student or other person passes through the corridor 40, or to detect whether a high-altitude falling object occurs outside the corridor 40. The speed sensor 113 can use an infrared speed measurement method to provide the speed value of the person to the processing module 20, so as to detect the moving speed of the student, and facilitate the judgment of danger according to the moving speed of the student.
[0036] It can be understood that the processing module 20 can be specifically used to determine whether to trigger the start and stop of the image sensor 111 and / or the voice sensor 112 according to the speed signal and the signal of the infrared emitter-receiver 114, so as to maintain a dormant state when no one passes through, thereby saving power.
[0037] The processing module 20 is connected with the detection module 10, for acquiring and processing the image signal and the voice signal, to determine whether the image signal and the voice signal meet the triggering condition, and output a warning signal.
[0038] The warning module 30 is connected with the processing module 20, and includes a display component 31 and a loudspeaker 32, which are respectively connected with the processing module 20, for alarming and reminding through light display or sound according to the warning signal.
[0039] The display component 31 can be a display lamp or a display screen to provide a warning effect by light-emitting display, such as emitting specific light or displaying some text information. The loudspeaker 32 can be a traditional loudspeaker, a buzzer or other device capable of emitting sound, thereby providing a warning through sound.
[0040] In order to improve the installation convenience, a wireless communication module for wireless communication is arranged between the detection module 10 and the processing module 20. The wireless communication module includes a WIFI module, a Bluetooth module or a cellular communication module. Through the above wireless communication module, the signal line can be reduced, and the equipment and installation cost can be avoided.
[0041] In an embodiment, the processing module 20 further includes a face recognition unit for recognizing face information in the image signal. The face recognition unit can recognize the face through an identification algorithm, so that the personnel information can be transmitted to the security management personnel in time. Of course, the face recognition unit can be implemented by a recognition module known in the art, and is not limited.
[0042] In actual application, the campus floor safety early warning intelligent system can be divided into multiple modules on the basis of the hardware, and can include a campus floor safety management system, an on-campus one-key alarm system, a floor chasing and fighting early warning system, a high-altitude dangerous falling early warning system, a campus bullying prevention early warning system and a face recognition snapshot early warning system. Figs. 1-4 The on-campus one-key alarm system, the floor chasing and fighting early warning system, the campus bullying prevention early warning system and the face recognition snapshot early warning system of the system can automatically detect abnormal behaviors of students. The high-altitude dangerous falling early warning system can monitor and warn the movement of high-altitude objects. When the early warning system detects a dangerous event in the campus, it can transmit the early warning information to the early warning module 30 in the school safety management general control room in real time, issue an early warning signal, and deliver the early warning information to the security room and the security office at the first time. When the general control room computer display screen triggers an early warning signal corresponding to the area, the display component 31 displays a red block and voice broadcast in real time. The display component 31 displays green under the condition of campus safety, so that the security management personnel can distinguish whether there is a security risk by color vision and sound control. At the same time, after receiving the signal, the campus hidden danger can be quickly responded and handled, and the occurrence of safety accidents can be reduced.
[0043]
[0044] The on-campus one-key alarm system can send a pre-warning signal to the intelligent campus safety management center in real time through the button information when a student is in danger in the campus life. When the total control room computer display component 31 triggers a pre-warning signal in the corresponding area, the display component 31 displays a red block and voice broadcast in real time, and displays green when the campus is safe, so that the safety management personnel can distinguish whether there is a security risk by color vision and sound control, and quickly respond and handle the campus hidden danger after receiving the signal.
[0045] The floor chasing and fighting pre-warning system can send a pre-warning signal to the intelligent campus safety management center in real time through the information transmitted by the pre-warning module 30 when the floor has students chasing and fighting. When the total control room display component 31 triggers a pre-warning signal in the corresponding area, the display component 31 displays a red block and voice broadcast in real time, and displays green when the campus is safe, so that the safety management personnel can distinguish whether there is a security risk by color vision and sound control, and quickly respond and handle the campus hidden danger after receiving the signal.
[0046] The high-altitude dangerous falling object pre-warning system can send a pre-warning signal to the intelligent campus safety management center in real time through the information transmitted by the pre-warning module 30 when the infrared emitter-receiver 114 identifies that a high-altitude falling object danger occurs. When the total control room display component 31 triggers a pre-warning signal in the corresponding area, the display component 31 displays a red block and voice broadcast in real time, and displays green when the campus is safe, so that the safety management personnel can distinguish whether there is a security risk by color vision and sound control, and quickly respond and handle the campus hidden danger after receiving the signal.
[0047] The face recognition and snapshot pre-warning system can send a pre-warning signal to the intelligent campus safety management center in real time through the information transmitted by the pre-warning module 30 when the image sensor 111 identifies that a student has an abnormal state. When the total control room display component 31 triggers a pre-warning signal in the corresponding area, the system display component 31 displays a red block and voice broadcast in real time, and displays green when the campus is safe, so that the safety management personnel can distinguish whether there is a security risk by color vision and sound control, and quickly respond and handle the campus hidden danger after receiving the signal.
[0048] Pre-bullying warning system in campus: when a student in the campus is bullied, the student calls a specific voice, such as "help, help", which is recognized by the voice sensor 112, and the warning module 30 triggers to transmit the information to the school intelligent campus safety management center to send a warning signal. When the total control room display component 31 has a corresponding area triggering a warning signal, the display component 31 will display a red block and voice broadcast in real time, and the display component 31 will display green in a safe campus, so that the safety management personnel can distinguish whether there is a security risk by color vision and sound control, and at the same time, after receiving the signal, the campus hidden danger is quickly responded and handled.
[0049] It can be understood that the above-mentioned software system can be realized by combining the existing control technology in the art with the campus floor safety warning intelligent system of the present application, as long as the above-mentioned functions can be realized, and the present application will not be repeated here.
[0050] The campus floor safety warning intelligent system provided by the present application can install the image sensor 111 and the voice sensor 112 in the sensor unit 11 on the wall of the corridor 40 through the detection module 10 comprising the sensor unit 11 and the installation component 12, and make the image sensor 111 and the voice sensor 112 face the corridor 40 through the installation component 12. By using the processing module 20 and the warning module 30, the image signal and the voice signal collected by the detection module 10 can be analyzed and recognized, so as to timely judge whether the activity of the student in the corridor 40 meets a specific triggering condition, and if so, the safety management personnel are warned through the warning module 30 to remind the safety management personnel to intelligently warn the dangerous activity of the student in advance. Through the above-mentioned way, the activity of the student in the corridor 40 can be intelligently warned and managed through the system, and the processing efficiency of the safety management personnel on the student and the safety problem of the student is improved.
[0051] In the embodiments of the present application, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" can explicitly or implicitly include one or more of the features. In the description of the embodiments of the present application, unless otherwise stated, the meaning of "a plurality of" is two or more.
[0052] In addition, in the embodiments of the present application, the orientation terms such as "up", "down", "left" and "right" are defined with respect to the orientation of the components shown in the drawings, and it should be understood that these directional terms are relative concepts, which are used for relative description and clarification, and they can be changed accordingly according to the change of the orientation of the components placed in the drawings.
[0053] In the embodiments of the present application, unless specifically defined and limited, the term "connection" should be understood broadly, for example, "connection" can be fixed connection, can also be detachable connection, or integral; can be directly connected, or indirectly connected through intermediate medium.
[0054] In the embodiments of the present application, the term "comprising" or "including" or any other variant thereof is intended to cover non-exclusive inclusion. Without more limitations, the element defined by the sentence "comprising a" does not exclude the presence of additional same element in the process, method, article or device comprising the element.
[0055] In the embodiments of the present application, the word "exemplary" or "for example" is used to represent an example, illustration or description. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the word "exemplary" or "for example" is intended to present the relevant in a specific manner.
[0056] The embodiment number of the present application is only for description, not representing the advantages and disadvantages of the embodiments. The above is only the preferred embodiment of the present application, and does not limit the patent scope of the present application. Any equivalent device or equivalent process transformation using the content of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.
Claims
1. A campus floor safety early warning intelligent system, characterized in that, The application relates to a fire emergency early warning device for a corridor. The device comprises a detection module, a processing module and an early warning module. The detection module comprises a sensor unit and a mounting assembly. The sensor unit comprises an image sensor and a voice sensor, and is used for obtaining an image signal and a voice signal of the corridor. The mounting assembly comprises a mounting part and an adjusting part. The mounting part is mounted on a wall of the corridor.
2. The intelligent system for campus floor safety pre-warning according to claim 1, wherein, The adjusting part is rotationally connected with the detection module, and the image sensor and the voice sensor are arranged towards the corridor.
3. The intelligent system for campus floor safety pre-warning according to claim 1, wherein, The processing module is connected with the detection module, and is used for acquiring and processing the image signal and the voice signal to determine whether the image signal and the voice signal satisfy a triggering condition, and outputting a pre-warning signal.
4. The intelligent system for campus floor safety pre-warning according to claim 1 or 2, characterized in that, The early warning module is connected with the processing module, and comprises a display assembly and a loudspeaker.
5. The intelligent system for campus floor safety pre-warning according to claim 1 or 2, characterized in that, The display assembly and the loudspeaker are respectively connected with the processing module, and are used for alarming and reminding through light display or sound according to the pre-warning signal.
6. The intelligent system for campus floor safety pre-warning according to claim 1, wherein, The sensor unit is further provided with a speed sensor.
7. The intelligent system for campus floor safety pre-warning according to claim 1, wherein, The speed sensor is connected with the processing module, and is used for detecting the speed of personnel movement and generating a speed signal.
8. The intelligent system for campus floor safety pre-warning according to claim 7, characterized in that, The sensor unit further comprises an infrared emitter-receiver. The sensor unit comprises a shell. One side of the shell is provided with an opening hole for mounting the image sensor and the voice sensor. The other side of the shell is rotationally connected with the adjusting part. The processing module further comprises a face recognition unit for recognizing face information in the image signal. The image sensor comprises a camera. The camera is arranged towards the corridor. The sensor unit comprises a preprocessor. The image sensor and the voice sensor are connected with the preprocessor and the processing module. The preprocessor is used for pre-processing the image signal of the image sensor and the voice signal of the voice sensor. The processing module is specifically used for controlling the start and stop of the image sensor and / or the voice sensor according to the speed signal. The detection module and the processing module are provided with a wireless communication module for wireless communication. The wireless communication module comprises a WIFI module, a Bluetooth module or a cellular communication module.