Smart city environment warning system

Abstract

The invention relates to a smart city environment warning system which comprises an environment detection mechanism, a signal induction mechanism, a continuous enhancement mechanism, a first-stage detection device, a component storage device, a second-stage detection device and a voice warning device. The smart city environment warning system is intelligent in design and has certain pertinence.

Description

Technical Field

[0001] The present invention relates to the field of smart city management, and in particular to a smart city environmental warning system. Background Art

[0002] In modern smart city management, an important factor is to improve the efficiency of traffic management. The high beam refers to adjusting the intensity of the light according to the distance of the filament. The high beam is at its focus, and the light emitted will be parallel. The light is more concentrated and brighter, and can illuminate objects far away and high. The low beam is outside its focus, and the light emitted is divergent, which can illuminate objects within a large range nearby.

[0003] In the traffic management settings, high beams can only be used when there is no other light around. For example, when driving on a highway without street lights at night or in the suburbs without street lights at night, you can use high beams to expand your field of vision. However, when you encounter an oncoming car and need to meet it, switch to low beam for safety and courtesy. High beams should not be used when there is other light around (whether natural light or artificial light).

[0004] However, in the prior art, some drivers abuse high beams for the sake of their own vision. At the same time, the existing traffic management mechanism cannot effectively identify whether the current environment is a specific traffic environment with no other light around, and cannot effectively identify the target of the high beam, resulting in the inability to effectively manage the use of high beams. Summary of the invention

[0005] In order to solve the technical problems in related fields, the present invention provides a smart city environmental warning system, which can use an environmental detection mechanism to perform light measurement and time detection on the traffic environment where a vehicle is located, and judge whether the vehicle is currently traveling in a low-light environment at night based on the light measurement results and the time detection results. More importantly, when the proportion of the number of first-type pixel points in the content-sharpened image to the total number of pixel points in the content-sharpened image does not exceed the limit, an instruction that a high-beam highlight target does not exist is issued; otherwise, an instruction that a high-beam highlight target exists is issued, thereby completing the visual identification of whether there is a set high-beam highlight target in the content-sharpened image.

[0006] According to the present invention, a smart city environment warning system is provided, the system comprising: An environment detection mechanism is used to perform light measurement and time detection on the traffic environment where the vehicle is located, and determine whether the vehicle is currently traveling in a low-light environment at night based on the light measurement results and the time detection results; A signal sensing mechanism, connected to the environment detection mechanism, is used to perform an image signal sensing operation on the driving scene in front of the vehicle when the vehicle is currently driving in a low-light environment at night, so as to obtain and output a corresponding directional sensing image; A continuous enhancement mechanism, comprising a morphological processing device, a smoothing filter device and a content sharpening device, wherein the morphological processing device is also connected to the signal sensing mechanism and is used to sequentially perform a morphological processing of first dilation and then erosion on the received directional sensing image to obtain and output a corresponding morphologically processed image, the smoothing filter device is connected to the morphological processing device and is used to perform an edge-preserving smoothing filter processing on the received morphologically processed image to obtain and output a corresponding smoothing filter image, and the content sharpening device is connected to the smoothing filter device and is used to perform a sharpening processing based on a Kirsch operator on the received smoothing filter image to obtain and output a corresponding content sharpened image; A first-level detection device is connected to the continuous enhancement mechanism and is used to perform the following detection operation on a single pixel of the received content-sharpened image as a current pixel: when the cyan component, magenta component, yellow component and black component of the current pixel in the CMYK space fall within the cyan component range, magenta component range, yellow component range and black component range corresponding to the high-beam highlight target, respectively, the current pixel is regarded as a first-type pixel; otherwise, the current pixel is regarded as a second-type pixel; A component storage device, connected to the first-level detection device, for pre-storing a cyan component range, a magenta component range, a yellow component range, and a black component range corresponding to a high-beam highlight target; A second-level detection device, connected to the first-level detection device, is used to issue a high-beam highlight target existence instruction when the ratio of the number of first-type pixels in the content-sharpened image to the total number of pixels in the content-sharpened image exceeds a limit, and is also used to issue a high-beam highlight target non-existence instruction when the ratio of the number of first-type pixels in the content-sharpened image to the total number of pixels in the content-sharpened image does not exceed a limit; a voice warning device connected to the second-level detection device and arranged at the front end of the vehicle, for executing a high-beam vehicle warning operation corresponding to the high-beam highlight target instruction when receiving a high-beam highlight target instruction, and for stopping executing a high-beam vehicle warning operation corresponding to the high-beam highlight target instruction when receiving a high-beam highlight target instruction not existing; Among them, performing light measurement and time detection on the traffic environment where the vehicle is located, and judging whether the vehicle is currently traveling in a low-light environment at night based on the light measurement results and the time detection results includes: using various light sensors arranged around the vehicle to perform light measurement on the traffic environment where the vehicle is located to obtain various light quantity values, and when the average of the remaining multiple light quantity values ​​after removing the maximum value and the minimum value of the various light quantity values ​​is less than or equal to the set average threshold and the current time is in the night time period, judging that the vehicle is currently traveling in a low-light environment at night.

[0007] Therefore, the present invention has at least the following four beneficial technical effects: First, various light sensors arranged around the vehicle are used to measure the light in the traffic environment where the vehicle is located to obtain various light intensity values, and when the average of the remaining multiple light intensity values ​​after removing the maximum and minimum values ​​of the light intensity values ​​is less than or equal to the set average threshold and the current time is in the night time period, it is determined that the vehicle is currently driving in a low-light environment at night; Second, a targeted component identification mechanism is used to identify each first type of pixel points constituting a set high beam highlight target and each second type of pixel points other than the set high beam highlight target in the received content sharpened image; Third: when the ratio of the number of the first type of pixels in the content-sharpened image to the total number of pixels in the content-sharpened image does not exceed the limit, an instruction that a high-beam highlight target does not exist is issued; otherwise, an instruction that a high-beam highlight target exists is issued, thereby completing visual identification of whether a set high-beam highlight target exists in the content-sharpened image; Fourth: when a high-beam highlight target instruction is received, a high-beam vehicle warning operation corresponding to the high-beam highlight target instruction is executed; and when a high-beam highlight target instruction is received, the high-beam vehicle warning operation corresponding to the high-beam highlight target instruction is stopped, thereby warning vehicles with high-beam lights on and reminding the driver of the vehicle.

[0008] The smart city environment warning system of the present invention is intelligently designed and has certain pertinence. Since it can determine whether the vehicle is currently driving in a low-light environment at night based on the light measurement and time detection performed on the traffic environment where the vehicle is located, and at the same time adopts an intelligent detection mode to complete the detection of high-beam highlight target instructions, it solves the technical problems of difficulty in detecting low-light environments at night and difficulty in identifying high-beam highlight targets. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0010] Figure 1 Schematic diagram of the internal structure of a smart city environment warning system according to Embodiment A of the present invention.

[0011] Figure 2 Schematic diagram of the internal structure of a smart city environment warning system according to Embodiment B of the present invention.

[0012] Figure 3 Schematic diagram of the internal structure of a smart city environment warning system according to Embodiment C of the present invention. DETAILED DESCRIPTION

[0013] The embodiments of the smart city environment warning system of the present invention will be described in detail below with reference to the accompanying drawings.

[0014] Figure 1 This is a schematic diagram of the internal structure of a smart city environment warning system according to Embodiment A of the present invention, wherein the system comprises: An environment detection mechanism is used to perform light measurement and time detection on the traffic environment where the vehicle is located, and determine whether the vehicle is currently traveling in a low-light environment at night based on the light measurement results and the time detection results; For example, the environment detection mechanism includes a light measurement unit, a time analysis unit and a co-processing unit, and the co-processing unit is connected to the light measurement unit and the time analysis unit respectively; Specifically, the light measurement unit is used to perform light measurement on the traffic environment where the vehicle is located, the time analysis unit is used to perform time detection on the traffic environment where the vehicle is located, and the collaborative processing unit is used to determine whether the vehicle is currently traveling in a low-light environment at night based on the light measurement result and the time detection result; A signal sensing mechanism, connected to the environment detection mechanism, is used to perform an image signal sensing operation on the driving scene in front of the vehicle when the vehicle is currently driving in a low-light environment at night, so as to obtain and output a corresponding directional sensing image; A continuous enhancement mechanism, comprising a morphological processing device, a smoothing filter device and a content sharpening device, wherein the morphological processing device is also connected to the signal sensing mechanism and is used to sequentially perform a morphological processing of first dilation and then erosion on the received directional sensing image to obtain and output a corresponding morphologically processed image, the smoothing filter device is connected to the morphological processing device and is used to perform an edge-preserving smoothing filter processing on the received morphologically processed image to obtain and output a corresponding smoothing filter image, and the content sharpening device is connected to the smoothing filter device and is used to perform a sharpening processing based on a Kirsch operator on the received smoothing filter image to obtain and output a corresponding content sharpened image; A first-level detection device is connected to the continuous enhancement mechanism and is used to perform the following detection operation on a single pixel of the received content-sharpened image as a current pixel: when the cyan component, magenta component, yellow component and black component of the current pixel in the CMYK space fall within the cyan component range, magenta component range, yellow component range and black component range corresponding to the high-beam highlight target, respectively, the current pixel is regarded as a first-type pixel; otherwise, the current pixel is regarded as a second-type pixel; A component storage device, connected to the first-level detection device, for pre-storing a cyan component range, a magenta component range, a yellow component range, and a black component range corresponding to a high-beam highlight target; A second-level detection device, connected to the first-level detection device, is used to issue a high-beam highlight target existence instruction when the ratio of the number of first-type pixels in the content-sharpened image to the total number of pixels in the content-sharpened image exceeds a limit, and is also used to issue a high-beam highlight target non-existence instruction when the ratio of the number of first-type pixels in the content-sharpened image to the total number of pixels in the content-sharpened image does not exceed a limit; a voice warning device connected to the second-level detection device and arranged at the front end of the vehicle, for executing a high-beam vehicle warning operation corresponding to the high-beam highlight target instruction when receiving a high-beam highlight target instruction, and for stopping executing a high-beam vehicle warning operation corresponding to the high-beam highlight target instruction when receiving a high-beam highlight target instruction not existing; Among them, performing light measurement and time detection on the traffic environment where the vehicle is located, and judging whether the vehicle is currently traveling in a low-light environment at night based on the light measurement results and the time detection results includes: using various light sensors arranged around the vehicle to perform light measurement on the traffic environment where the vehicle is located to obtain various light quantity values, and when the average of the remaining multiple light quantity values ​​after removing the maximum value and the minimum value of the various light quantity values ​​is less than or equal to the set average value threshold and the current time is in the night time period, judging that the vehicle is currently traveling in a low-light environment at night; Among them, when the proportion of the number of first type pixels in the content sharpened image to the total number of pixels in the content sharpened image exceeds the limit, an instruction of the existence of a high-beam highlight target is issued, and when the proportion of the number of first type pixels in the content sharpened image to the total number of pixels in the content sharpened image does not exceed the limit, an instruction of the non-existence of a high-beam highlight target is issued. The method includes: using a numerical simulation mode to complete the simulation processing and test processing of issuing the instruction of the existence of a high-beam highlight target when the proportion of the number of first type pixels in the content sharpened image to the total number of pixels in the content sharpened image exceeds the limit, and issuing the instruction of the non-existence of a high-beam highlight target when the proportion of the number of first type pixels in the content sharpened image to the total number of pixels in the content sharpened image does not exceed the limit.

[0015] Figure 2 Schematic diagram of the internal structure of a smart city environment warning system according to Embodiment B of the present invention.

[0016] and Figure 1 different, Figure 2 The smart city environmental warning system in the system can also include the following components: a voltage stabilizing actuator, arranged near the continuous enhancement mechanism, the first-stage detection device, the component storage device and the second-stage detection device and connected to the continuous enhancement mechanism, the first-stage detection device, the component storage device and the second-stage detection device respectively; Among them, the voltage stabilizing actuator is arranged near the continuous enhancement mechanism, the first-level detection device, the component storage device and the second-level detection device and is respectively connected to the continuous enhancement mechanism, the first-level detection device, the component storage device and the second-level detection device, including: the voltage stabilizing actuator is used to respectively perform the voltage stabilizing operation of the continuous enhancement mechanism, the first-level detection device, the component storage device and the second-level detection device.

[0017] Figure 3 Schematic diagram of the internal structure of a smart city environment warning system according to Embodiment C of the present invention.

[0018] and Figure 1 different, Figure 3 The smart city environmental warning system in the system can also include the following components: a wired communication mechanism, arranged near the continuous reinforcement mechanism, the first-level detection device, the component storage device and the second-level detection device and connected to the continuous reinforcement mechanism, the first-level detection device, the component storage device and the second-level detection device respectively; Among them, the wired communication mechanism is arranged near the continuous reinforcement mechanism, the first-level detection device, the component storage device and the second-level detection device and is respectively connected to the continuous reinforcement mechanism, the first-level detection device, the component storage device and the second-level detection device, including: the wired communication mechanism is used to respectively realize the on-site configuration of the real-time working parameters of the continuous reinforcement mechanism, the first-level detection device, the component storage device and the second-level detection device.

[0019] Next, the specific structure of the smart city environment warning system of the present invention is further described.

[0020] In the smart city environment warning system according to various embodiments of the present invention: Using a targeted adjustment mechanism to perform image data processing on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device to obtain output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device respectively; Wherein, using a targeted adjustment mechanism to perform image data processing on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device respectively comprises: performing adaptive filtering on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device respectively; Wherein, using a targeted adjustment mechanism to perform image data processing on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device respectively comprises: performing cubic polynomial interpolation on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device respectively; Wherein, using a targeted adjustment mechanism to perform image data processing on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device respectively comprises: performing vertical direction sharpening on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device respectively; And wherein, a targeted adjustment mechanism is used to perform image data processing on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device and the second-level detection device respectively, including: performing morphological processing of first image dilation and then image erosion on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device and the second-level detection device respectively.

[0021] In addition, in the smart city environmental warning system, various light sensors arranged around the vehicle are used to perform light measurement on the traffic environment in which the vehicle is located to obtain various light intensity values, and when the average of the remaining multiple light intensity values ​​after removing the maximum value and the minimum value of the various light intensity values ​​is less than or equal to the set average threshold and the current time is in the night time period, it is judged that the vehicle is currently traveling in a low-light environment at night, including: the proportion of the maximum value and the proportion of the minimum value are the same and both are less than or equal to the preset proportion threshold.

[0022] In addition, the embodiment of the present invention is not limited to the above-mentioned embodiment, and various changes can be made without departing from the scope of the present invention.

Claims

1. A smart city environmental warning system, characterized in that: The system comprises: An environment detection mechanism is used to perform light measurement and time detection on the traffic environment where the vehicle is located, and determine whether the vehicle is currently traveling in a low-light environment at night based on the light measurement results and the time detection results; A signal sensing mechanism, connected to the environment detection mechanism, is used to perform an image signal sensing operation on the driving scene in front of the vehicle when the vehicle is currently driving in a low-light environment at night, so as to obtain and output a corresponding directional sensing image; A continuous enhancement mechanism, comprising a morphological processing device, a smoothing filter device and a content sharpening device, wherein the morphological processing device is also connected to the signal sensing mechanism and is used to sequentially perform a morphological processing of first dilation and then erosion on the received directional sensing image to obtain and output a corresponding morphologically processed image, the smoothing filter device is connected to the morphological processing device and is used to perform an edge-preserving smoothing filter processing on the received morphologically processed image to obtain and output a corresponding smoothing filter image, and the content sharpening device is connected to the smoothing filter device and is used to perform a sharpening processing based on a Kirsch operator on the received smoothing filter image to obtain and output a corresponding content sharpened image; A first-level detection device is connected to the continuous enhancement mechanism and is used to perform the following detection operation on a single pixel of the received content-sharpened image as a current pixel: when the cyan component, magenta component, yellow component and black component of the current pixel in the CMYK space fall within the cyan component range, magenta component range, yellow component range and black component range corresponding to the high-beam highlight target, respectively, the current pixel is regarded as a first-type pixel; otherwise, the current pixel is regarded as a second-type pixel; A component storage device, connected to the first-level detection device, for pre-storing a cyan component range, a magenta component range, a yellow component range, and a black component range corresponding to a high-beam highlight target; A second-level detection device, connected to the first-level detection device, is used to issue a high-beam highlight target existence instruction when the ratio of the number of first-type pixels in the content-sharpened image to the total number of pixels in the content-sharpened image exceeds a limit, and is also used to issue a high-beam highlight target non-existence instruction when the ratio of the number of first-type pixels in the content-sharpened image to the total number of pixels in the content-sharpened image does not exceed a limit; a voice warning device connected to the second-level detection device and arranged at the front end of the vehicle, for executing a high-beam vehicle warning operation corresponding to the high-beam highlight target instruction when receiving a high-beam highlight target instruction, and for stopping executing a high-beam vehicle warning operation corresponding to the high-beam highlight target instruction when receiving a high-beam highlight target instruction not existing; Among them, performing light measurement and time detection on the traffic environment where the vehicle is located, and judging whether the vehicle is currently traveling in a low-light environment at night based on the light measurement results and the time detection results includes: using various light sensors arranged around the vehicle to perform light measurement on the traffic environment where the vehicle is located to obtain various light quantity values, and when the average of the remaining multiple light quantity values ​​after removing the maximum value and the minimum value of the various light quantity values ​​is less than or equal to the set average threshold and the current time is in the night time period, judging that the vehicle is currently traveling in a low-light environment at night.

2. The smart city environmental warning system as claimed in claim 1, characterized in that: When the proportion of the number of first type pixels in the content sharpened image to the total number of pixels in the content sharpened image exceeds the limit, an instruction for the existence of a high-beam highlight target is issued; and when the proportion of the number of first type pixels in the content sharpened image to the total number of pixels in the content sharpened image does not exceed the limit, an instruction for the non-existence of a high-beam highlight target is issued. The method includes: using a numerical simulation mode to complete simulation processing and test processing of issuing a high-beam highlight target when the proportion of the number of first type pixels in the content sharpened image to the total number of pixels in the content sharpened image exceeds the limit; and issuing a high-beam highlight target when the proportion of the number of first type pixels in the content sharpened image to the total number of pixels in the content sharpened image does not exceed the limit.

3. The smart city environment warning system as claimed in claim 2, characterized in that: The system further comprises: a voltage stabilizing actuator, arranged near the continuous enhancement mechanism, the first-stage detection device, the component storage device and the second-stage detection device and connected to the continuous enhancement mechanism, the first-stage detection device, the component storage device and the second-stage detection device respectively; Among them, the voltage stabilizing actuator is arranged near the continuous enhancement mechanism, the first-level detection device, the component storage device and the second-level detection device and is respectively connected to the continuous enhancement mechanism, the first-level detection device, the component storage device and the second-level detection device, including: the voltage stabilizing actuator is used to respectively perform the voltage stabilizing operation of the continuous enhancement mechanism, the first-level detection device, the component storage device and the second-level detection device.

4. The smart city environment warning system as claimed in claim 2, characterized in that: The system further comprises: a wired communication mechanism, arranged near the continuous reinforcement mechanism, the first-level detection device, the component storage device and the second-level detection device and connected to the continuous reinforcement mechanism, the first-level detection device, the component storage device and the second-level detection device respectively; Among them, the wired communication mechanism is arranged near the continuous reinforcement mechanism, the first-level detection device, the component storage device and the second-level detection device and is respectively connected to the continuous reinforcement mechanism, the first-level detection device, the component storage device and the second-level detection device, including: the wired communication mechanism is used to respectively realize the on-site configuration of the real-time working parameters of the continuous reinforcement mechanism, the first-level detection device, the component storage device and the second-level detection device.

5. The smart city environment warning system according to any one of claims 2 to 4, characterized in that: A targeted adjustment mechanism is used to perform image data processing on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device and the second-level detection device to obtain output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device and the second-level detection device respectively.

6. The smart city environmental warning system as claimed in claim 5, characterized in that: Using a targeted adjustment mechanism to perform image data processing on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device respectively includes: performing adaptive filtering on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device respectively.

7. The smart city environment warning system as claimed in claim 5, characterized in that: Using a targeted adjustment mechanism to perform image data processing on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device respectively includes: performing cubic polynomial interpolation on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device respectively.

8. The smart city environmental warning system as claimed in claim 5, characterized in that: Using a targeted adjustment mechanism to perform image data processing on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device respectively includes: performing vertical sharpening on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device respectively.

9. The smart city environmental warning system as claimed in claim 5, characterized in that: Using a targeted adjustment mechanism to perform image data processing on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device respectively includes: performing morphological processing of first image dilation and then image erosion on the output data of the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device to obtain the output processing data corresponding to the continuous enhancement mechanism, the first-level detection device, the component storage device, and the second-level detection device respectively.

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