Smart city management system

Abstract

The invention relates to a smart city management system. The system comprises a trigger shooting mechanism, an environment identification mechanism, a grading training mechanism, a content playing device, a picture analysis device and a detection execution device. The smart city management system is compact in logic and intelligent to control.

Description

Technical Field

[0001] The present invention relates to the field of smart city management, and more specifically, to a smart city management system. Background Art

[0002] With the development of science and technology, smart city management is becoming more and more detailed. CN114677015B discloses a smart city security management and control platform and management and control method based on grid management. The platform consists of a data collection module, a data analysis module and a rectification module. The data collection module is used to collect security management data within each target grid area, and mark and summarize it to generate a security management situation map for each target grid area; the data analysis module is used to analyze the security management situation map, determine the dangerous grid areas and dangerous event types with potential safety hazards, and map and display the dangerous grid areas; the rectification module is used to formulate a hidden danger rectification plan based on the positioning and distribution display results, and to warn and rectify the dangerous event types. Through the grid-based safety management of the city, the timely and effective understanding of the safety situation in each area of ​​the city is improved, the efficiency of the city in responding to emergencies is enhanced, the safety management and control effect of the entire city is improved, and the safety factor of the city is increased.

[0003] However, the technology does not disclose the technology for managing other aspects. Summary of the invention

[0004] In order to solve the technical problems in the related fields, the present invention provides a smart city management system, which obtains comprehensive and effective multiple basic data by selecting the tunnel length, tunnel width and the number of parallel lanes inside the tunnel of the tunnel's traffic environment and the horizontal resolution, vertical resolution, maximum noise amplitude, number of noise types and overall brightness value of the traffic environment picture as basic data for intelligent judgment of whether the traffic environment picture obtained in the tunnel traffic environment is a real image that has not undergone subsequent image processing. Specifically, the tunnel length, tunnel width and the number of parallel lanes inside the tunnel of the tunnel's traffic environment and the horizontal resolution, vertical resolution, maximum noise amplitude, number of noise types and overall brightness value of the traffic environment picture are input into an intelligent detection body to obtain different values ​​output by the intelligent detection body to respectively indicate whether the traffic environment picture is a real image that has not undergone subsequent image processing. A customized structurally designed intelligent detection body is also introduced to complete intelligent judgment processing. The intelligent detection body outputs different values ​​to represent whether the traffic environment picture is a real image that has not undergone subsequent image processing, thereby providing a more reliable reference content for the monitoring server to detect the real scene of the set scene.

[0005] According to the present invention, a smart city management system is provided, the system comprising: A triggering shooting mechanism is arranged in the tunnel, and is used to trigger the real shooting process of the passage environment of the tunnel when sensing the audio component corresponding to the vehicle in the tunnel, so as to obtain and output the corresponding passage environment picture; otherwise, the real shooting process of the passage environment of the tunnel is temporarily suspended; An environment recognition mechanism is used to detect various environmental parameters of the traffic environment of the tunnel, wherein the various environmental parameters of the traffic environment of the tunnel are the tunnel length, tunnel width and the number of parallel lanes inside the tunnel; A hierarchical training mechanism, used for performing hierarchical training on the deep convolutional network to obtain the intelligent detection object, wherein the hierarchical training on the deep convolutional network to obtain the intelligent detection object comprises: performing training processing on the deep convolutional network for each time to obtain the intelligent detection object; A content playback device, connected to the picture analysis device, for displaying the intelligent detection result upon receiving it; A picture analysis device, connected to the trigger shooting mechanism, for obtaining the horizontal resolution, vertical resolution, maximum noise amplitude, number of noise types and overall brightness value of the traffic environment picture; A detection execution device is connected to the picture analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism respectively, and is used to input various environmental parameters of the passage environment of the tunnel and the horizontal resolution, vertical resolution, maximum noise amplitude, number of noise types and overall brightness value of the passage environment picture into the intelligent detection body, so as to obtain different values ​​output by the intelligent detection body to respectively indicate whether the passage environment picture is a real image without subsequent image processing; Among them, the trigger shooting mechanism is arranged in the tunnel, and is used to trigger the real shooting processing of the traffic environment of the tunnel when sensing the audio components corresponding to the vehicle in the tunnel, so as to obtain and output the corresponding traffic environment picture, including: the trigger shooting mechanism has a built-in sound sensing component, which is used to sense the sound signal inside the tunnel.

[0006] Therefore, the present invention has at least the following beneficial technical effects: Technical effect 1: The tunnel length, tunnel width, number of parallel lanes inside the tunnel, and horizontal resolution, vertical resolution, maximum noise amplitude, number of noise types, and overall brightness value of the traffic environment of the tunnel are selected as basic data for intelligently determining whether the traffic environment image obtained in the tunnel traffic environment is a real image without subsequent image processing, thereby obtaining comprehensive and effective basic data; Technical effect 2: Specifically, the tunnel length, tunnel width, number of parallel lanes inside the tunnel, and horizontal resolution, vertical resolution, maximum noise amplitude, number of noise types, and overall brightness values ​​of the traffic environment of the tunnel are input into the intelligent detection body to obtain different values ​​output by the intelligent detection body to respectively indicate whether the traffic environment picture is a real image without subsequent image processing; Technical effect three: Introduce a smart detection body with customized structural design to complete intelligent judgment processing. The smart detection body outputs different numerical values ​​to represent whether the traffic environment picture is a real image without subsequent image processing, thereby providing more reliable reference content for the monitoring server to detect the real scene of the set scene.

[0007] The smart city management system of the present invention has compact logic and intelligent control. Since the tunnel length, tunnel width, number of parallel lanes in the tunnel and various visual information of the traffic environment of the tunnel can be selected to determine whether the traffic environment picture is a real image without subsequent image processing, it provides more reliable reference content for the monitoring server to detect the real scene of the set scene. DETAILED DESCRIPTION

[0008] Tunnels are engineering structures buried in the ground, and are a form of human use of underground space. Tunnels can be divided into traffic tunnels, hydraulic tunnels, municipal tunnels, and mining tunnels. The structure of a tunnel consists of two parts: the main building and ancillary equipment. The main building consists of a tunnel body and a tunnel door, and the ancillary equipment includes a car shelter, fire-fighting facilities, emergency communications, and drainage facilities. Long tunnels also have special ventilation and lighting equipment.

[0009] It can be seen that tunnels, as a special traffic environment, need to be focused on video surveillance. However, the images obtained by shooting the tunnel may have been processed and processed during the shooting process. Although the overall image quality is optimized, some key details may be buried in the optimization process, resulting in the inability to obtain the specific data that the monitoring end wants. The difficulty lies in that it is difficult for the monitoring end to perform high-precision identification of whether the received traffic images of the tunnel environment are real images that have not undergone subsequent image processing.

[0010] The implementation scheme of the smart city management system of the present invention will be described in detail below.

[0011] A smart city management system according to a first embodiment of the present invention includes: A triggering shooting mechanism is arranged in the tunnel, and is used to trigger the real shooting process of the passage environment of the tunnel when sensing the audio component corresponding to the vehicle in the tunnel, so as to obtain and output the corresponding passage environment picture; otherwise, the real shooting process of the passage environment of the tunnel is temporarily suspended; Specifically, the trigger shooting mechanism is arranged in the tunnel, and is used to trigger the real shooting process of the passage environment of the tunnel when sensing the audio component corresponding to the vehicle in the tunnel, so as to obtain and output the corresponding passage environment picture, otherwise, the real shooting process of the passage environment of the tunnel is temporarily suspended. The trigger shooting mechanism includes: the built-in audio analysis component, the shooting execution component and the data output component; An environment recognition mechanism is used to detect various environmental parameters of the traffic environment of the tunnel, wherein the various environmental parameters of the traffic environment of the tunnel are the tunnel length, tunnel width and the number of parallel lanes inside the tunnel; A hierarchical training mechanism, used for performing hierarchical training on the deep convolutional network to obtain the intelligent detection object, wherein the hierarchical training on the deep convolutional network to obtain the intelligent detection object comprises: performing training processing on the deep convolutional network for each time to obtain the intelligent detection object; A content playback device, connected to the picture analysis device, for displaying the intelligent detection result upon receiving it; A picture analysis device, connected to the trigger shooting mechanism, for obtaining the horizontal resolution, vertical resolution, maximum noise amplitude, number of noise types and overall brightness value of the traffic environment picture; A detection execution device is connected to the picture analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism respectively, and is used to input various environmental parameters of the passage environment of the tunnel and the horizontal resolution, vertical resolution, maximum noise amplitude, number of noise types and overall brightness value of the passage environment picture into the intelligent detection body, so as to obtain different values ​​output by the intelligent detection body to respectively indicate whether the passage environment picture is a real image without subsequent image processing; The triggering shooting mechanism is arranged in the tunnel, and is used to trigger the real shooting processing of the passage environment of the tunnel when sensing the audio component corresponding to the vehicle in the tunnel, so as to obtain and output the corresponding passage environment picture, including: the triggering shooting mechanism has a built-in sound sensing component, which is used to sense the sound signal inside the tunnel; The triggering shooting mechanism is arranged in the tunnel, and is used to trigger the real shooting processing of the passage environment of the tunnel when the audio component corresponding to the vehicle is sensed in the tunnel, so as to obtain and output the corresponding passage environment picture. The triggering shooting mechanism also includes a built-in component analysis component, which is connected to the sound sensing component, and is used to detect whether the audio component corresponding to the vehicle in the sound signal inside the tunnel is sensed based on the amplitude of the audio component corresponding to the vehicle in the sound signal inside the tunnel. Among them, the trigger shooting mechanism also has a built-in component analysis component, which is connected to the sound sensing component, and is used to detect whether the audio component corresponding to the vehicle in the tunnel is sensed based on the amplitude of the audio component corresponding to the vehicle in the sound signal inside the tunnel. The method includes: selecting a programmable logic device to implement the component analysis component, which is connected to the sound sensing component, and is used to detect whether the audio component corresponding to the vehicle in the tunnel is sensed based on the amplitude of the audio component corresponding to the vehicle in the sound signal inside the tunnel.

[0012] Different from the first embodiment of the present invention, the smart city management system in the second embodiment of the present invention may further include the following components: The pressure detection mechanism includes a plurality of pressure detection units, which are used to respectively detect the current surface pressure values ​​of the detection execution device, the picture analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism; Wherein, the pressure detection mechanism includes a plurality of pressure detection units, which are used to respectively detect the current surface pressure values ​​of the detection execution device, the picture analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism, including: the plurality of pressure detection units respectively used by the detection execution device, the picture analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism are a plurality of contact pressure sensors; Wherein, the pressure detection mechanism includes a plurality of pressure detection units for respectively detecting the current surface pressure values ​​of the detection execution device, the picture analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism, and further includes: the internal structures of a plurality of contact pressure sensors respectively used for the detection execution device, the picture analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism are the same; And wherein, the pressure detection mechanism includes a plurality of pressure detection units, which are used to respectively detect the current surface pressure values ​​of the detection execution device, the picture analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism, and further includes: a plurality of non-contact pressure sensors respectively used for the detection execution device, the picture analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism have the same pressure measurement upper limit threshold and pressure measurement lower limit threshold; And wherein, the pressure detection mechanism includes multiple pressure detection units, which are used to respectively detect the current surface pressure values ​​of the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism, and also includes: multiple contact pressure sensors respectively used for the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism all perform corresponding current surface pressure value detection based on the difference between the air pressure and the internal pressure of the detected device.

[0013] Different from the first embodiment of the present invention, the smart city management system in the third embodiment of the present invention may further include the following components: a real-time warning mechanism, connected to the plurality of contact pressure sensors respectively used by the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism, and configured to perform corresponding pressure warning operations based on pressure measurement results of the plurality of contact pressure sensors respectively used by the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism; Wherein, the real-time warning mechanism is respectively connected to a plurality of contact pressure sensors respectively used by the detection execution device, the picture analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism, and is used to perform corresponding pressure warning operations based on the pressure measurement results of the plurality of contact pressure sensors respectively used by the detection execution device, the picture analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism, including: the real-time warning mechanism includes a timing analysis unit and a warning operation unit; And wherein, the real-time warning mechanism is respectively connected to multiple contact pressure sensors respectively used for the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism, and is used to perform corresponding pressure warning operations based on the pressure measurement results of the multiple contact pressure sensors respectively used for the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism. It also includes: within the real-time warning mechanism, the timing analysis unit is connected to the warning operation unit.

[0014] In addition, in the smart city management system, the trigger shooting mechanism also has a built-in component analysis component, which is connected to the sound sensing component, and is used to detect whether the audio component corresponding to the vehicle in the tunnel is sensed based on the amplitude of the audio component corresponding to the vehicle in the sound signal inside the tunnel. The method includes: when the amplitude of the audio component corresponding to the vehicle in the sound signal inside the tunnel is greater than or equal to a preset amplitude threshold, detecting that the audio component corresponding to the vehicle in the tunnel is sensed; And wherein the trigger shooting mechanism also has a built-in component analysis component, which is connected to the sound sensing component, and is used to detect whether the audio component corresponding to the vehicle in the tunnel is sensed based on the amplitude of the audio component corresponding to the vehicle in the sound signal inside the tunnel, including: selecting a programmable logic device to implement the component analysis component.

[0015] Although only certain embodiments of the present invention have been described in detail above, those skilled in the art will readily appreciate that many modifications may be made in the embodiments without substantially departing from the novel teachings and advantages of the present invention. Therefore, all of these modifications should be included within the scope of the present invention.

Claims

1. A smart city management system, characterized in that: The system comprises: A triggering shooting mechanism is arranged in the tunnel, and is used to trigger the real shooting process of the passage environment of the tunnel when sensing the audio component corresponding to the vehicle in the tunnel, so as to obtain and output the corresponding passage environment picture; otherwise, the real shooting process of the passage environment of the tunnel is temporarily suspended; An environment recognition mechanism is used to detect various environmental parameters of the traffic environment of the tunnel, wherein the various environmental parameters of the traffic environment of the tunnel are the tunnel length, tunnel width and the number of parallel lanes inside the tunnel; A hierarchical training mechanism, used for performing hierarchical training on the deep convolutional network to obtain the intelligent detection object, wherein the hierarchical training on the deep convolutional network to obtain the intelligent detection object comprises: performing training processing on the deep convolutional network for each time to obtain the intelligent detection object; A content playback device, connected to the picture analysis device, for displaying the intelligent detection result upon receiving it; A picture analysis device, connected to the trigger shooting mechanism, for obtaining the horizontal resolution, vertical resolution, maximum noise amplitude, number of noise types and overall brightness value of the traffic environment picture; A detection execution device is connected to the picture analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism respectively, and is used to input various environmental parameters of the passage environment of the tunnel and the horizontal resolution, vertical resolution, maximum noise amplitude, number of noise types and overall brightness value of the passage environment picture into the intelligent detection body, so as to obtain different values ​​output by the intelligent detection body to respectively indicate whether the passage environment picture is a real image without subsequent image processing; Among them, the trigger shooting mechanism is arranged in the tunnel, and is used to trigger the real shooting processing of the traffic environment of the tunnel when sensing the audio components corresponding to the vehicle in the tunnel, so as to obtain and output the corresponding traffic environment picture, including: the trigger shooting mechanism has a built-in sound sensing component, which is used to sense the sound signal inside the tunnel.

2. The smart city management system according to claim 1, characterized in that: The triggering shooting mechanism is arranged in the tunnel, and is used to trigger the real shooting processing of the passage environment of the tunnel when the audio component corresponding to the vehicle is sensed in the tunnel, so as to obtain and output the corresponding passage environment picture. The triggering shooting mechanism also includes a built-in component analysis component, which is connected to the sound sensing component, and is used to detect whether the audio component corresponding to the vehicle in the sound signal inside the tunnel is sensed based on the amplitude of the audio component corresponding to the vehicle in the sound signal inside the tunnel. Among them, the trigger shooting mechanism also has a built-in component analysis component, which is connected to the sound sensing component, and is used to detect whether the audio component corresponding to the vehicle in the tunnel is sensed based on the amplitude of the audio component corresponding to the vehicle in the sound signal inside the tunnel. The method includes: selecting a programmable logic device to implement the component analysis component, which is connected to the sound sensing component, and is used to detect whether the audio component corresponding to the vehicle in the tunnel is sensed based on the amplitude of the audio component corresponding to the vehicle in the sound signal inside the tunnel.

3. The smart city management system according to claim 2, characterized in that: The system further comprises: The pressure detection mechanism includes a plurality of pressure detection units, which are used to respectively detect the current surface pressure values ​​of the detection execution device, the picture analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism; Among them, the pressure detection mechanism includes multiple pressure detection units, which are used to respectively detect the current surface pressure values ​​of the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism, including: the multiple pressure detection units respectively used for the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism are multiple contact pressure sensors.

4. The smart city management system as claimed in claim 3, characterized in that: The pressure detection mechanism includes multiple pressure detection units, which are used to respectively detect the current surface pressure values ​​of the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism. It also includes: the internal structures of multiple contact pressure sensors respectively used for the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism are the same.

5. The smart city management system as claimed in claim 3, characterized in that: The pressure detection mechanism includes multiple pressure detection units, which are used to respectively detect the current surface pressure values ​​of the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism. It also includes: multiple non-contact pressure sensors respectively used for the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism have the same pressure measurement upper limit threshold and pressure measurement lower limit threshold.

6. The smart city management system according to claim 5, characterized in that: The pressure detection mechanism includes multiple pressure detection units, which are used to respectively detect the current surface pressure values ​​of the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism. It also includes: multiple contact pressure sensors respectively used for the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism all perform corresponding current surface pressure value detection based on the difference between the air pressure and the internal pressure of the detected device.

7. The smart city management system according to any one of claims 3 to 6, characterized in that: The system further comprises: The real-time warning mechanism is respectively connected to multiple contact pressure sensors respectively used for the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism, and is used to perform corresponding pressure warning operations based on the pressure measurement results of the multiple contact pressure sensors respectively used for the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism.

8. The smart city management system according to claim 7, characterized in that: The real-time warning mechanism is respectively connected to multiple contact pressure sensors respectively used for the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism, and is used to perform corresponding pressure warning operations based on the pressure measurement results of the multiple contact pressure sensors respectively used for the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism. The real-time warning mechanism includes a timing analysis unit and a warning operation unit.

9. The smart city management system according to claim 8, characterized in that: The real-time warning mechanism is respectively connected to multiple contact pressure sensors respectively used for the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism, and is used to perform corresponding pressure warning operations based on the pressure measurement results of the multiple contact pressure sensors respectively used for the detection execution device, the image analysis device, the content playback device, the graded training mechanism and the environment recognition mechanism. It also includes: within the real-time warning mechanism, the timing analysis unit is connected to the warning operation unit.