Smart city ecological service platform
Through the AI recognition model, combining multiple parameters and image data of the river, intelligently identify whether the monitoring images of rivers within the city have been processed by arithmetic mean filtering, solving the problem that the existing technology cannot provide reliable content judgment, and achieving stable and effective monitoring images judge.
Patent Information
- Application Number
- CN202411588307.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2024-08-21
- Filing Date
- 2024-11-08
- Publication Date
- 2025-02-11
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The prior art cannot determine whether the surveillance image of an internal urban river has been processed by arithmetic mean filtering, resulting in the inability to provide reliable content judgment.
Using the AI recognition model, based on the river flow rate, width, part of the river length within the field of view of the visual imaging device, the reference image and the binary numerical values of the instantly acquired image, intelligently identify whether the instantly acquired image has been filtered through arithmetic mean.
It provides a reliable basis for the content judgment of river surveillance images within the city, avoids misjudgment, and ensures the stability and effectiveness of intelligent identification results.
Smart Images
Figure CN119418280A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of smart city management, and more specifically, to a smart city ecological service platform. Background Art
[0002] Smart city management refers to the decision-making guidance, standardization and coordination, service and business behavior around the operation and development of the city, with the city as the open and complex giant platform as the object, the basic information flow of the city as the basis, and the use of a series of mechanisms such as decision-making, planning, organization and command, and the use of legal, economic, administrative and technical means, through the interaction between the government, the market and the society. Urban management in a broad sense refers to the management of all urban activities, including political, economic, social and municipal management. Urban management in a narrow sense usually refers to municipal management, that is, the management of urban infrastructure, public service facilities and social public affairs related to urban planning, urban construction and urban operation. The object of general urban management research is mainly aimed at urban management in a narrow sense, that is, municipal management.
[0003] For rivers within a city, such as the Seine River in Paris, they are key areas for urban security monitoring. Generally, even if the management end that performs urban management is clear that the acquired monitoring image comes from a camera unit with a specific image optimization function, such as an arithmetic mean filtering function, it is still impossible to determine whether the arithmetic mean filtering function was turned on when the monitoring image was taken, resulting in an inability to provide a reliable basis for content judgment of monitoring images of rivers within the city. Summary of the invention
[0004] In order to solve the technical problems in the related fields, the present invention provides a smart city ecological service platform, which adopts an AI recognition model to intelligently identify whether the real-time acquired image has been processed by arithmetic mean filtering based on the flow rate, width and partial river length within the field of view of the visual camera device, the binary value of the reference image in the PNG digital file format, the binary value of the reference pattern in the PNG digital file format and the binary value of the real-time acquired image in the PNG digital file format, thereby providing a basis for content judgment of the river monitoring image within the city. The model construction mechanism is introduced to perform a set number of learnings on the BP neural network to obtain the BP neural network after each learning and output it as an AI recognition model. The value of the set number is proportional to the value of the width of the river within the city, thereby completing the structural customization of the AI recognition model. The river detection device is also introduced to obtain various supporting parameters of the river within the city. The various supporting parameters of the river are the flow rate, width and partial river length within the field of view of the visual camera device, thereby providing targeted basic information for intelligent recognition and ensuring the stability and effectiveness of the intelligent recognition result.
[0005] According to the present invention, a smart city ecological service platform is provided, the platform comprising: A visual camera device, located on the bank of a river inside the city, is used to trigger a visual camera operation of the river when the flow rate of the river exceeds a set speed threshold, so as to acquire and output a corresponding instant acquired image; A river detection device, used for obtaining various supporting parameters of the river, wherein the various supporting parameters of the river are the flow velocity and width of the river and the length of a part of the river within the field of view of the visual camera device; A model building mechanism, used for performing a set number of learnings on the BP neural network to obtain the BP neural network after each learning and outputting it as an AI recognition model, wherein the value of the set number is proportional to the value of the width of the river; A touch display screen connected to the recognition execution mechanism, used for displaying the intelligent recognition result when receiving the intelligent recognition result; an identification execution mechanism, connected to the visual camera device, the river detection device, the model building mechanism and the touch display screen, respectively, for extracting a reference pattern obtained after the reference image is subjected to arithmetic mean filtering, extracting a binary value of the reference image in a PNG digital file format and a binary value of the reference pattern in a PNG digital file format, performing image coding format conversion on the instant image to obtain a binary value of the instant image in a PNG digital file format, and using an AI recognition model to intelligently identify whether the instant image has been subjected to arithmetic mean filtering based on the flow rate and width of the river and the length of a portion of the river within the field of view of the visual camera device, the binary value of the reference image in a PNG digital file format, the binary value of the reference pattern in a PNG digital file format and the binary value of the instant image in a PNG digital file format to obtain a processing representative value; Among them, the visual camera device is located on the bank of the river inside the city and is used to trigger the visual camera operation of the river when the flow rate of the river exceeds the set speed threshold, so as to obtain and output the corresponding instant acquisition image, including: the visual camera device includes a flow rate measurement component for measuring the flow rate of the river.
[0006] Therefore, the present invention needs to have at least the following important invention points: Firstly: an AI recognition model is used to intelligently identify whether the real-time acquired image has been processed by arithmetic mean filtering based on the flow velocity and width of the river inside the city, the length of part of the river within the field of view of the visual camera device, the binary value of the reference image in the PNG digital file format, the binary value of the reference pattern in the PNG digital file format, and the binary value of the real-time acquired image in the PNG digital file format, thereby providing a basis for content judgment of the river monitoring image inside the city; Secondly: a model building mechanism is introduced to perform a set number of learnings on the BP neural network to obtain the BP neural network after each learning and output it as an AI recognition model. The value of the set number is proportional to the value of the width of the river inside the city, thereby completing the structural customization of the AI recognition model; Again: a river detection device is introduced to obtain various supporting parameters of rivers within the city. The various supporting parameters of the river are the flow rate, width of the river and the partial length of the river within the field of view of the visual camera device, thereby providing targeted basic information for intelligent recognition and ensuring the stability and effectiveness of the intelligent recognition results.
[0007] The smart city ecological service platform of the present invention operates stably, safely and reliably. By using an AI recognition model to intelligently identify multiple basic information selected in a targeted manner, the representative value of whether the image has been processed by arithmetic mean filtering is immediately obtained, thereby providing a basis for content judgment of river monitoring images within the city and avoiding misjudgment of river monitoring scenes. 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 ecological service platform according to the primary embodiment of the present invention.
[0010] Figure 2 It is a structural diagram of a smart city ecological service platform according to a secondary embodiment of the present invention.
[0011] Figure 3 It is a structural diagram of a smart city ecological service platform according to another embodiment of the present invention. DETAILED DESCRIPTION
[0012] Figure 1 : is a schematic diagram of the structure of a smart city ecological service platform according to the primary embodiment of the present invention, the platform includes: A visual camera device, located on the bank of a river inside the city, is used to trigger a visual camera operation of the river when the flow rate of the river exceeds a set speed threshold, so as to acquire and output a corresponding instant acquired image; A river detection device, used for obtaining various supporting parameters of the river, wherein the various supporting parameters of the river are the flow velocity and width of the river and the length of a part of the river within the field of view of the visual camera device; Specifically, the river detection device is used to obtain various supporting parameters of the river, wherein the various supporting parameters of the river are the flow velocity, width of the river and the length of part of the river within the field of view of the visual camera device, including: different parameter detection components can be used to respectively obtain the flow velocity, width of the river and the length of part of the river within the field of view of the visual camera device; A model building mechanism, used for performing a set number of learnings on the BP neural network to obtain the BP neural network after each learning and outputting it as an AI recognition model, wherein the value of the set number is proportional to the value of the width of the river; A touch display screen connected to the recognition execution mechanism, used for displaying the intelligent recognition result when receiving the intelligent recognition result; an identification execution mechanism, connected to the visual camera device, the river detection device, the model building mechanism and the touch display screen, respectively, for extracting a reference pattern obtained after the reference image is subjected to arithmetic mean filtering, extracting a binary value of the reference image in a PNG digital file format and a binary value of the reference pattern in a PNG digital file format, performing image coding format conversion on the instant image to obtain a binary value of the instant image in a PNG digital file format, and using an AI recognition model to intelligently identify whether the instant image has been subjected to arithmetic mean filtering based on the flow rate and width of the river and the length of a portion of the river within the field of view of the visual camera device, the binary value of the reference image in a PNG digital file format, the binary value of the reference pattern in a PNG digital file format and the binary value of the instant image in a PNG digital file format to obtain a processing representative value; Wherein, the visual camera device is located on the bank of a river inside the city and is used to trigger a visual camera operation of the river when the flow rate of the river exceeds a set speed threshold, so as to obtain and output a corresponding instant acquisition image, including: the visual camera device includes a flow rate measurement component, which is used to measure the flow rate of the river; And wherein, a reference pattern is extracted after the reference image is subjected to arithmetic mean filtering, a binary value of the reference image in a PNG digital file format and a binary value of the reference pattern in a PNG digital file format are extracted, image coding format conversion is performed on the instant image to obtain a binary value of the instant image in a PNG digital file format, and an AI recognition model is used to intelligently identify whether the instant image has been subjected to arithmetic mean filtering based on the flow rate and width of the river and the length of part of the river within the field of view of the visual camera device, the binary value of the reference image in a PNG digital file format, the binary value of the reference pattern in a PNG digital file format and the binary value of the instant image in a PNG digital file format. The processing representative value includes: different values of the processing representative value indicate whether the instant image has been subjected to arithmetic mean filtering.
[0013] Figure 2 It is a structural diagram of a smart city ecological service platform according to a secondary embodiment of the present invention.
[0014] and Figure 1 different, Figure 2 The smart city ecological service platform in the can also include the following components: a length sensor, connected to the identification actuator, the river detection device, the model building mechanism and the touch display screen, respectively, for measuring the current real-time length values of the identification actuator, the river detection device, the model building mechanism and the touch display screen; Wherein, the length sensor device is respectively connected with the identification execution mechanism, the river detection device, the model building mechanism and the touch display screen, and is used to respectively measure the current real-time length values of the identification execution mechanism, the river detection device, the model building mechanism and the touch display screen, including: the length sensor device includes a plurality of length measurement units, which are respectively connected with the identification execution mechanism, the river detection device, the model building mechanism and the touch display screen, so as to complete the measurement of the current real-time length values of the identification execution mechanism, the river detection device, the model building mechanism and the touch display screen; Wherein, the length sensor device comprises a plurality of length measuring units, which are respectively connected to the identification actuator, the river detection device, the model building mechanism and the touch display screen to complete the respective measurement of the current real-time length values of the identification actuator, the river detection device, the model building mechanism and the touch display screen, including: the plurality of length measuring units are a plurality of length sensors, which are respectively connected to the identification actuator, the river detection device, the model building mechanism and the touch display screen to complete the respective measurement of the current real-time length values of the identification actuator, the river detection device, the model building mechanism and the touch display screen; Wherein, the plurality of length measuring units are a plurality of length sensors, which are used to be respectively connected with the identification execution mechanism, the river detection device, the model building mechanism and the touch display screen to respectively measure the current real-time length values of the identification execution mechanism, the river detection device, the model building mechanism and the touch display screen, including: the plurality of length sensors have the same structure; And wherein the multiple length measurement units are multiple length sensors, which are used to be connected to the identification actuator, the river detection device, the model building mechanism and the touch display screen respectively to complete the measurement of the current real-time length values of the identification actuator, the river detection device, the model building mechanism and the touch display screen respectively, and also include: the multiple length sensors have the same length measurement upper limit value and length measurement lower limit value.
[0015] Figure 3 It is a structural diagram of a smart city ecological service platform according to another embodiment of the present invention.
[0016] and Figure 1 different, Figure 3 The smart city ecological service platform in the can also include the following components: a length display mechanism, connected to the identification execution mechanism, the river detection device, the model building mechanism and the multiple length measurement units of the touch display screen, respectively, for synchronously displaying the current real-time length values of the identification execution mechanism, the river detection device, the model building mechanism and the touch display screen; Wherein, the length display mechanism is respectively connected to the identification execution mechanism, the river detection device, the model building mechanism and the multiple length measurement units of the touch display screen, and is used to synchronously display the current real-time length values of the identification execution mechanism, the river detection device, the model building mechanism and the touch display screen respectively, including: the length display mechanism is a touch display screen; And wherein, the length display mechanism is respectively connected to multiple length measurement units of the identification execution mechanism, the river detection device, the model construction mechanism and the touch display screen, and is used to synchronously display the current real-time length values of the identification execution mechanism, the river detection device, the model construction mechanism and the touch display screen, including: the length display mechanism is a non-touch display screen.
[0017] In addition, in the smart city ecological service platform, a reference pattern is extracted after the reference image is subjected to arithmetic mean filtering processing, the binary value of the reference image in the PNG digital file format and the binary value of the reference pattern in the PNG digital file format are extracted, and the image coding format conversion is performed on the instant image to obtain the binary value of the instant image in the PNG digital file format. An AI recognition model is used to intelligently identify whether the instant image has been subjected to arithmetic mean filtering processing based on the flow rate and width of the river and the length of part of the river within the field of view of the visual camera device, the binary value of the reference image in the PNG digital file format, the binary value of the reference pattern in the PNG digital file format and the binary value of the instant image in the PNG digital file format. The processing representative value also includes: using a numerical simulation mode to implement testing and simulation of the data processing process of the intelligent recognition.
[0018] It is apparent that the present invention is not limited to the above-described embodiments, and modifications and changes may be made without departing from the scope and spirit of the present invention.
Claims
1. A smart city ecological service platform, characterized in that: The platform includes: A visual camera device, located on the bank of a river inside the city, is used to trigger a visual camera operation of the river when the flow rate of the river exceeds a set speed threshold, so as to acquire and output a corresponding instant acquired image; A river detection device, used for obtaining various supporting parameters of the river, wherein the various supporting parameters of the river are the flow velocity and width of the river and the length of a part of the river within the field of view of the visual camera device; A model building mechanism, used for performing a set number of learnings on the BP neural network to obtain the BP neural network after each learning and outputting it as an AI recognition model, wherein the value of the set number is proportional to the value of the width of the river; A touch display screen connected to the recognition execution mechanism, used for displaying the intelligent recognition result when receiving the intelligent recognition result; an identification execution mechanism, connected to the visual camera device, the river detection device, the model building mechanism and the touch display screen, respectively, for extracting a reference pattern obtained after the reference image is subjected to arithmetic mean filtering, extracting a binary value of the reference image in a PNG digital file format and a binary value of the reference pattern in a PNG digital file format, performing image coding format conversion on the instant image to obtain a binary value of the instant image in a PNG digital file format, and using an AI recognition model to intelligently identify whether the instant image has been subjected to arithmetic mean filtering based on the flow rate and width of the river and the length of a portion of the river within the field of view of the visual camera device, the binary value of the reference image in a PNG digital file format, the binary value of the reference pattern in a PNG digital file format and the binary value of the instant image in a PNG digital file format to obtain a processing representative value; Among them, the visual camera device is located on the bank of the river inside the city and is used to trigger the visual camera operation of the river when the flow rate of the river exceeds the set speed threshold, so as to obtain and output the corresponding instant acquisition image, including: the visual camera device includes a flow rate measurement component for measuring the flow rate of the river.
2. The smart city ecological service platform according to claim 1, characterized in that: A reference pattern is obtained after the reference image is subjected to arithmetic mean filtering, a binary value of the reference image in a PNG digital file format and a binary value of the reference pattern in a PNG digital file format are extracted, image coding format conversion is performed on the instant image to obtain a binary value of the instant image in a PNG digital file format, and an AI recognition model is used to intelligently identify whether the instant image has been subjected to arithmetic mean filtering based on the flow rate and width of the river and the length of a portion of the river within the field of view of the visual camera device, the binary value of the reference image in a PNG digital file format, the binary value of the reference pattern in a PNG digital file format and the binary value of the instant image in a PNG digital file format. The processing representative value includes: different values of the processing representative value are used to indicate whether the instant image has been subjected to arithmetic mean filtering.
3. The smart city ecological service platform as claimed in claim 2, characterized in that: The platform also includes: a length sensor, connected to the identification actuator, the river detection device, the model building mechanism and the touch display screen, respectively, for measuring the current real-time length values of the identification actuator, the river detection device, the model building mechanism and the touch display screen; Among them, the length sensor device is respectively connected to the identification execution mechanism, the river detection device, the model building mechanism and the touch display screen, and is used to respectively measure the current real-time length values of the identification execution mechanism, the river detection device, the model building mechanism and the touch display screen. The length sensor device includes multiple length measurement units, which are used to be respectively connected to the identification execution mechanism, the river detection device, the model building mechanism and the touch display screen to complete the respective measurements of the current real-time length values of the identification execution mechanism, the river detection device, the model building mechanism and the touch display screen.
4. The smart city ecological service platform as claimed in claim 3, characterized in that: The length sensor device includes a plurality of length measuring units, which are used to be respectively connected to the identification actuator, the river detection device, the model building mechanism and the touch display screen to complete the respective measurement of the current real-time length values of the identification actuator, the river detection device, the model building mechanism and the touch display screen. The plurality of length measuring units are a plurality of length sensors, which are used to be respectively connected to the identification actuator, the river detection device, the model building mechanism and the touch display screen to complete the respective measurement of the current real-time length values of the identification actuator, the river detection device, the model building mechanism and the touch display screen.
5. The smart city ecological service platform as claimed in claim 4, characterized in that: The multiple length measurement units are multiple length sensors, which are used to be connected to the identification execution mechanism, the river detection device, the model building mechanism and the touch display screen respectively, so as to complete the measurement of the current real-time length values of the identification execution mechanism, the river detection device, the model building mechanism and the touch display screen respectively, including: the structures of the multiple length sensors are the same.
6. The smart city ecological service platform as claimed in claim 5, characterized in that: The multiple length measurement units are multiple length sensors, which are used to be connected to the identification actuator, the river detection device, the model building mechanism and the touch display screen respectively to complete the measurement of the current real-time length values of the identification actuator, the river detection device, the model building mechanism and the touch display screen respectively, and also include: the multiple length sensors have the same length measurement upper limit value and length measurement lower limit value.
7. The smart city ecological service platform as claimed in claim 2, characterized in that: The platform also includes: The length display mechanism is respectively connected to the multiple length measuring units of the identification execution mechanism, the river detection device, the model construction mechanism and the touch display screen, and is used to synchronously display the current real-time length values of the identification execution mechanism, the river detection device, the model construction mechanism and the touch display screen.
8. The smart city ecological service platform according to claim 7, characterized in that: The length display mechanism is respectively connected to the identification execution mechanism, the river detection device, the model construction mechanism and multiple length measurement units of the touch display screen, and is used to synchronously display the current real-time length values of the identification execution mechanism, the river detection device, the model construction mechanism and the touch display screen. The length display mechanism is a touch display screen.
9. The smart city ecological service platform according to claim 7, characterized in that: The length display mechanism is respectively connected to the identification execution mechanism, the river detection device, the model building mechanism and multiple length measurement units of the touch display screen, and is used to synchronously display the current real-time length values of the identification execution mechanism, the river detection device, the model building mechanism and the touch display screen. The length display mechanism is a non-touch display screen.