Smart city monitoring system

Abstract

The invention relates to a smart city monitoring system. The system comprises a time analysis mechanism, a panorama acquisition mechanism, a multistage optimization mechanism, a visual identification device and a confirmation trigger device. The system can realize intelligent identification based on a video monitoring technology.

Description

Technical Field

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

[0002] With the development of smart city management technology, people can use visual surveillance cameras to monitor various scenarios. For example, surveillance cameras, high-definition network surveillance cameras, or smart security surveillance cameras will play a greater role in preventing high-altitude throwing. Future smart AI surveillance visual cameras may have more advanced algorithms, higher resolutions, better motion detection functions, and more powerful data processing capabilities. In addition, with the popularization of communication technology and Internet of Things technology, we may see a more interconnected and intelligent monitoring system that can perform targeted analysis of various scenarios in a wider range.

[0003] For example, in the refueling scene of a gas station, if the vehicle is too close to the gas station or even contacts the gas station, it is easy to cause various safety accidents, thereby reducing the safety and reliability of the refueling scene. However, how to accurately determine whether the vehicle is in contact with the gas station based on visual monitoring technology is one of the problems that currently need to be solved. Summary of the invention

[0004] In order to solve the technical problems in the related fields, the present invention provides a smart city monitoring system, which can judge that a certain pixel point in the received multi-level optimization picture is a single pixel point constituting the imaging block of the vehicle in the received multi-level optimization picture when the brightness value of the certain pixel point is within the grayscale distribution range corresponding to the vehicle, and so on, complete the inspection of the respective imaging blocks of the vehicle and the gas station in the multi-level optimization picture, and when the overall depth of field corresponding to the two imaging blocks where the vehicle and the gas station are respectively located matches and the two imaging blocks overlap, a suspected contact signal is issued to determine that the vehicle and the gas station are suspected of contact, otherwise, a non-contact identification signal is issued to determine that the vehicle and the gas station are separated, thereby realizing intelligent analysis of the relative states of different targets, and when a suspected contact signal is received to visually identify that there is a possibility of contact between the vehicle and the gas station, the suspected contact signal and the multi-level optimization picture are wirelessly transmitted to the nearest staff's handheld terminal to trigger subsequent manual confirmation, thereby improving the reliability and effectiveness of on-site status identification, and realizing intelligent identification of safety hazard scenarios of gas stations and vehicles in contact based on video monitoring technology.

[0005] The present invention needs to have at least the following important invention points: Invention point A: When the brightness value of a certain pixel point in the received multi-level optimization picture is within the grayscale distribution range corresponding to the vehicle, the certain pixel point is judged to be a single pixel point constituting the imaging block of the vehicle in the received multi-level optimization picture, and so on, the inspection of the respective imaging blocks of the vehicle and the gas station in the multi-level optimization picture is completed; Invention point B: When the overall depths of field corresponding to the two imaging blocks where the vehicle and the refueling pile are located match and the two imaging blocks overlap, a suspected contact signal is issued to determine that the vehicle and the refueling pile are suspected of being in contact. Otherwise, a non-contact identification signal is issued to determine that the vehicle and the refueling pile are separated, thereby realizing intelligent analysis of the relative states of different targets; Invention point C: A confirmation trigger device is introduced to transmit the suspected contact signal and the multi-level optimized image to the nearest staff member's handheld terminal via a wireless network when a suspected contact signal is received to visually identify the possibility of contact between the vehicle and the gas station to trigger subsequent manual confirmation, thereby improving the reliability and effectiveness of on-site status identification.

[0006] According to the present invention, a smart city monitoring system is provided, the system comprising: A time resolution mechanism is provided in the gas station, and is used to send a first resolution signal when the gas station is currently in an operating time interval, and is also used to send a second resolution signal when the gas station is currently in a non-operating time interval; A panoramic acquisition mechanism, which is arranged in the gas station and connected to the time resolution mechanism, is used to perform panoramic image signal acquisition on the refueling environment of the gas station upon receiving the first resolution signal, so as to obtain and output a corresponding refueling panoramic picture; A multi-level optimization mechanism, connected to the panoramic acquisition mechanism and comprising a content enhancement device, a contrast retention device and an arithmetic mean filtering device, for sequentially performing image spatial domain enhancement processing, a processing of retaining the junction of two parts with obvious color or light-dark contrast in the image, and an arithmetic mean filtering processing on the received refueling panoramic picture, so as to obtain and output a corresponding multi-level optimized picture; A visual recognition device is connected to the multi-level optimization mechanism, and is used to extract the imaging blocks of the vehicle in the received multi-level optimization picture according to the grayscale distribution range corresponding to the vehicle, and to extract the imaging blocks of the refueling pile in the received multi-level optimization picture according to the grayscale distribution range corresponding to the refueling pile. When the overall depths of field corresponding to the two imaging blocks match and the two imaging blocks overlap, a suspected contact signal is issued to determine that the vehicle and the refueling pile are suspected of being in contact, otherwise, a non-contact recognition signal is issued to determine that the vehicle and the refueling pile are separated; A confirmation trigger device is connected to the visual recognition device and is used to transmit the suspected contact signal and the multi-level optimization screen to a handheld terminal of the nearest staff member via a wireless network when the suspected contact signal is received; Among them, the visual recognition device is used to extract the imaging blocks of the vehicle in the received multi-level optimization picture according to the grayscale distribution range corresponding to the vehicle, including: when the brightness value of a certain pixel point in the received multi-level optimization picture is within the grayscale distribution range corresponding to the vehicle, judging that the certain pixel point is a single pixel point constituting the imaging block of the vehicle in the received multi-level optimization picture.

[0007] The smart city monitoring system of the present invention has a compact structure and stable operation. When the overall depth of field of the two imaging blocks corresponding to the vehicle and the gas station are matched and the two imaging blocks are superimposed, a suspected contact signal is sent to determine that the vehicle and the gas station are in suspected contact. Otherwise, a non-contact identification signal is sent to determine that the vehicle and the gas station are separated, thereby realizing intelligent identification of safety hazard scenes of gas station and vehicle contact based on video monitoring technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Those skilled in the art may better understand the numerous advantages of the present invention by referring to the accompanying drawings, in which:

[0009] Figure 1 It is a structural diagram of a smart city monitoring system according to the primary embodiment of the present invention.

[0010] Figure 2 It is a structural diagram of a smart city monitoring system according to a secondary embodiment of the present invention.

[0011] Figure 3 2 is a schematic diagram of the structure of a smart city monitoring system according to another embodiment of the present invention. DETAILED DESCRIPTION

[0012] Figure 1 1 is a schematic diagram of the structure of a smart city monitoring system according to a primary embodiment of the present invention, the system comprising: A time resolution mechanism is provided in the gas station, and is used to send a first resolution signal when the gas station is currently in an operating time interval, and is also used to send a second resolution signal when the gas station is currently in a non-operating time interval; For example, the time resolution mechanism is arranged in a gas station, and is used to send a first resolution signal when the gas station is currently in an operating time interval, and is also used to send a second resolution signal when the gas station is currently in a non-operating time interval, including: selecting a programmable logic device to implement the time resolution mechanism, which is arranged in a gas station, and is used to send a first resolution signal when the gas station is currently in an operating time interval, and is also used to send a second resolution signal when the gas station is currently in a non-operating time interval; A panoramic acquisition mechanism, which is arranged in the gas station and connected to the time resolution mechanism, is used to perform panoramic image signal acquisition on the refueling environment of the gas station upon receiving the first resolution signal, so as to obtain and output a corresponding refueling panoramic picture; A multi-level optimization mechanism, connected to the panoramic acquisition mechanism and comprising a content enhancement device, a contrast retention device and an arithmetic mean filtering device, for sequentially performing image spatial domain enhancement processing, a processing of retaining the junction of two parts with obvious color or light-dark contrast in the image, and an arithmetic mean filtering processing on the received refueling panoramic picture, so as to obtain and output a corresponding multi-level optimized picture; A visual recognition device is connected to the multi-level optimization mechanism, and is used to extract the imaging blocks of the vehicle in the received multi-level optimization picture according to the grayscale distribution range corresponding to the vehicle, and to extract the imaging blocks of the refueling pile in the received multi-level optimization picture according to the grayscale distribution range corresponding to the refueling pile. When the overall depths of field corresponding to the two imaging blocks match and the two imaging blocks overlap, a suspected contact signal is issued to determine that the vehicle and the refueling pile are suspected of being in contact, otherwise, a non-contact recognition signal is issued to determine that the vehicle and the refueling pile are separated; A confirmation trigger device is connected to the visual recognition device and is used to transmit the suspected contact signal and the multi-level optimization screen to a handheld terminal of the nearest staff member via a wireless network when the suspected contact signal is received; The visual recognition device is used to extract the imaging blocks of the vehicle in the received multi-level optimization picture according to the grayscale distribution range corresponding to the vehicle, including: when the brightness value of a certain pixel point in the received multi-level optimization picture is within the grayscale distribution range corresponding to the vehicle, judging that the certain pixel point is a single pixel point constituting the imaging block of the vehicle in the received multi-level optimization picture; Wherein, the confirmation trigger device is also used to stop wirelessly transmitting the suspected contact signal and the multi-level optimization screen to the nearest staff member's handheld terminal when receiving the non-contact identification signal; The panoramic acquisition mechanism is further used to stop the panoramic image signal acquisition of the refueling environment of the gas station when receiving the second analysis signal; Among them, the multi-level optimization mechanism is connected to the panoramic acquisition mechanism and includes a content enhancement device, a contrast retention device and an arithmetic mean filtering device, which is used to sequentially perform image spatial domain enhancement processing, retention processing of the junction of two parts with obvious color or light and dark contrast in the image, and arithmetic mean filtering processing on the received refueling panoramic picture to obtain and output the corresponding multi-level optimization picture including: the content enhancement device, the contrast retention device and the arithmetic mean filtering device are used to respectively perform image spatial domain enhancement processing, retention processing of the junction of two parts with obvious color or light and dark contrast in the image, and arithmetic mean filtering processing.

[0013] Figure 2 It is a structural diagram of a smart city monitoring system according to a secondary embodiment of the present invention.

[0014] and Figure 1 different, Figure 2 The smart city monitoring system in the network can also include the following components: a fault self-detection device, connected to the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device, respectively, and used to measure the current fault codes inside the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device, respectively; Wherein, the fault self-checking device is respectively connected with the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device, and is used to respectively measure the current fault codes inside the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device, including: the fault self-checking device includes a plurality of fault self-checking units, which are respectively connected with the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device, and are used to respectively measure the current fault codes inside the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device; The fault self-checking device includes a plurality of fault self-checking units, which are respectively connected to the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device to respectively measure the current fault codes inside the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device, respectively, including: the internal structures of the plurality of fault self-checking units respectively used by the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device are the same; Among them, the fault self-detection device includes multiple fault self-detection units, which are used to be connected to the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device respectively, so as to respectively measure the current fault codes inside the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device respectively. It also includes: the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device respectively use multiple fault self-detection units to perform internal self-detection operations.

[0015] Figure 3 2 is a schematic diagram of the structure of a smart city monitoring system according to another embodiment of the present invention.

[0016] and Figure 1 different, Figure 3 The smart city monitoring system in the network can also include the following components: a signal identification device, arranged near the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device and connected to the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device, respectively, and used for measuring in real time the operation utilization percentage of the respective operators of the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device; Wherein, the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device all include a signal input unit and a signal output unit, and the signal input unit and the signal output unit all include a ground terminal; Wherein, the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device are implemented by using different CPLD chips respectively, and the CPLD chip is designed by using VHDL language; Wherein, a plurality of heat dissipation holes are arranged on the respective housings of the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device, and the plurality of heat dissipation holes of any one of the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device are evenly distributed on the housings thereof; Among them, the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device are each provided with a plurality of heat dissipation holes on their respective shells, and the plurality of heat dissipation holes of any one of the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device are evenly distributed on their shells, including: the aperture values ​​of each of the plurality of heat dissipation holes of any one of the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device are the same.

[0017] In addition, in the smart city monitoring system, a confirmation trigger device is connected to the visual recognition device, and is used to transmit the suspected contact signal and the multi-level optimization screen to the nearest staff member's handheld terminal through a wireless network when the suspected contact signal is received, including: typing the suspected contact signal and the multi-level optimization screen into an IP network data packet and then transmitting them to the nearest staff member's handheld terminal through a wireless network.

[0018] While the present invention has been particularly illustrated and described with reference to exemplary embodiments, it will be understood by those skilled in the art that various changes in form and details may be made without departing from the spirit and scope of the invention as defined by the claims.

Claims

1. A smart city monitoring system, characterized in that: The system comprises: A time resolution mechanism is provided in the gas station, and is used to send a first resolution signal when the gas station is currently in an operating time interval, and is also used to send a second resolution signal when the gas station is currently in a non-operating time interval; A panoramic acquisition mechanism, which is arranged in the gas station and connected to the time resolution mechanism, is used to perform panoramic image signal acquisition on the refueling environment of the gas station upon receiving the first resolution signal, so as to obtain and output a corresponding refueling panoramic picture; A multi-level optimization mechanism, connected to the panoramic acquisition mechanism and comprising a content enhancement device, a contrast retention device and an arithmetic mean filtering device, for sequentially performing image spatial domain enhancement processing, a processing of retaining the junction of two parts with obvious color or light-dark contrast in the image, and an arithmetic mean filtering processing on the received refueling panoramic picture, so as to obtain and output a corresponding multi-level optimized picture; A visual recognition device is connected to the multi-level optimization mechanism, and is used to extract the imaging blocks of the vehicle in the received multi-level optimization picture according to the grayscale distribution range corresponding to the vehicle, and to extract the imaging blocks of the refueling pile in the received multi-level optimization picture according to the grayscale distribution range corresponding to the refueling pile. When the overall depths of field corresponding to the two imaging blocks match and the two imaging blocks overlap, a suspected contact signal is issued to determine that the vehicle and the refueling pile are suspected of being in contact, otherwise, a non-contact recognition signal is issued to determine that the vehicle and the refueling pile are separated; A confirmation trigger device is connected to the visual recognition device and is used to transmit the suspected contact signal and the multi-level optimization screen to a handheld terminal of the nearest staff member via a wireless network when the suspected contact signal is received; Among them, the visual recognition device is used to extract the imaging blocks of the vehicle in the received multi-level optimization picture according to the grayscale distribution range corresponding to the vehicle, including: when the brightness value of a certain pixel point in the received multi-level optimization picture is within the grayscale distribution range corresponding to the vehicle, judging that the certain pixel point is a single pixel point constituting the imaging block of the vehicle in the received multi-level optimization picture.

2. The smart city monitoring system according to claim 1, characterized in that: The confirmation trigger device is also used to stop wirelessly transmitting the suspected contact signal and the multi-level optimization screen to the nearest staff member's handheld terminal when receiving the non-contact identification signal; The panoramic acquisition mechanism is further used to stop the panoramic image signal acquisition of the refueling environment of the gas station when receiving the second analysis signal; Among them, the multi-level optimization mechanism is connected to the panoramic acquisition mechanism and includes a content enhancement device, a contrast retention device and an arithmetic mean filtering device, which is used to sequentially perform image spatial domain enhancement processing, retention processing of the junction of two parts with obvious color or light and dark contrast in the image, and arithmetic mean filtering processing on the received refueling panoramic picture to obtain and output the corresponding multi-level optimization picture including: the content enhancement device, the contrast retention device and the arithmetic mean filtering device are used to respectively perform image spatial domain enhancement processing, retention processing of the junction of two parts with obvious color or light and dark contrast in the image, and arithmetic mean filtering processing.

3. The smart city monitoring system according to claim 2, characterized in that: The system comprises: a fault self-detection device, connected to the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device, respectively, and used to measure the current fault codes inside the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device, respectively; Among them, the fault self-detection device is respectively connected to the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device, and is used to respectively measure the current fault codes inside the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device, including: the fault self-detection device includes multiple fault self-detection units, which are respectively connected to the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device, so as to respectively measure the current fault codes inside the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device.

4. The smart city monitoring system as claimed in claim 3, characterized in that: The fault self-detection device includes multiple fault self-detection units, which are used to be connected to the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device respectively, so as to respectively measure the current fault codes inside the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device respectively, including: the internal structures of the multiple fault self-detection units respectively used by the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device are the same.

5. The smart city monitoring system according to claim 4, characterized in that: The fault self-detection device includes multiple fault self-detection units, which are used to be connected to the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device respectively to measure the current fault codes inside the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device respectively. It also includes: the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device respectively use multiple fault self-detection units to perform internal self-detection operations.

6. The smart city monitoring system according to claim 2, characterized in that: The system further comprises: A signal identification device is arranged near the visual identification device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device and is respectively connected to the visual identification device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device, and is used for real-time measurement of the operation utilization percentage of each operator of the visual identification device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device.

7. The smart city monitoring system according to any one of claims 2 to 6, characterized in that: The visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device all include a signal input unit and a signal output unit, and the signal input unit and the signal output unit all include a ground terminal.

8. The smart city monitoring system according to any one of claims 2 to 6, characterized in that: The visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device are respectively implemented by different CPLD chips, and the CPLD chips are designed by VHDL language.

9. The smart city monitoring system according to any one of claims 2 to 6, characterized in that: A plurality of heat dissipation holes are arranged on the housing of each of the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device, and the plurality of heat dissipation holes of any one of the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device are evenly distributed on the housing; Among them, the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device are each provided with a plurality of heat dissipation holes on their respective shells, and the plurality of heat dissipation holes of any one of the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device are evenly distributed on their shells, including: the aperture values ​​of each of the plurality of heat dissipation holes of any one of the visual recognition device, the content enhancement device, the contrast retention device and the arithmetic mean filtering device are the same.

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