Strategy customization system using artificial intelligence models

Abstract

The present invention relates to a strategy customization system using an artificial intelligence model, comprising: a data identification device, which is used to intelligently identify the vehicle access information corresponding to the underground garage in the current time interval based on the duration of each time interval, a plurality of vehicle access information corresponding to a set number of past time intervals before the current time interval, and various configuration parameters of the underground garage using an artificial intelligence model; a strategy customization device, which is used to determine the reserved parking space strategy of the underground garage in the current time interval based on the intelligent identification data. The strategy customization system using an artificial intelligence model of the present invention is intelligently designed and widely used. Since a customized artificial intelligence model can be used to intelligently identify the vehicle access information corresponding to the underground garage in the current time interval based on various basic data, intelligent analysis of the vehicle access information of the underground garage in the future time is achieved, providing reliable data for the vehicle access management in the future time.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence, and in particular to a strategy customization system using an artificial intelligence model. Background Art

[0002] Underground garages, or underground parking lots, refer to buildings built underground for parking various sizes of motor vehicles. They are mainly composed of parking rooms, passages, ramps or mechanical lifting rooms, entrances and exits, and shunting sites. Sometimes underground parking lots also provide low-level maintenance and key minor repair services. Nowadays, the development of large-scale underground spaces all have parking lot plans. The main reason is that the total number of cars in cities is increasing, and the corresponding parking lots are insufficient. The phenomenon of "difficult driving and parking" in cities has become very common. Therefore, making full use of underground space to build parking lots plays an important role in alleviating urban road congestion.

[0003] The characteristics of underground parking lots are: high cost and long construction period; underground parking lots have large capacity and basically do not occupy urban land, allowing the city to leave more open space for greening and beautification, improving the quality of the urban environment; the superiority of underground space in protection allows managers to combine large-capacity underground parking garages with civil defense facilities.

[0004] However, when managing the number of parking spaces in underground garages in the future, it is still heavily dependent on past parking data for estimation. Obviously, the logic of this estimation is unreliable. Therefore, a solution is needed that can pre-judge the total number of vehicles entering and leaving the underground garage in the future time interval that has not yet arrived, so as to provide reliable data for the future entry management of vehicles in the underground garage. Summary of the invention

[0005] In order to solve the technical problems in the related fields, the present invention provides a strategy customization system using an artificial intelligence model. The customized artificial intelligence model is used to intelligently identify the vehicle access information corresponding to the underground garage in the current time interval based on the duration of each time interval, multiple vehicle access information corresponding to a set number of past time intervals before the current time interval, and various configuration parameters of the underground garage. The vehicle access information corresponding to the underground garage in the current time interval is the total number of vehicles entering and leaving the underground garage in the current time interval, thereby realizing intelligent analysis of vehicle access information of the underground garage in the future time, and dynamically determining the reserved parking space strategy of the underground garage in the current time interval based on the difference between the total number of vehicles entering and leaving the underground garage in the current time interval, wherein the greater the difference between the total number of vehicles entering and leaving the underground garage in the current time interval, the greater the demand for reserved parking spaces in the underground garage in the current time interval, and the more reserved parking spaces determined in the underground garage in the current time interval, thereby taking into account the demand for the number of reserved parking spaces and the demand for the number of free parking spaces in the underground garage.

[0006] According to the present invention, a policy customization system using an artificial intelligence model is provided, the system comprising:

[0007] The information extraction mechanism is used to obtain a plurality of vehicle access information corresponding to a set number of past time intervals of the underground garage before the current time interval, wherein the current time interval is a time interval starting from the current time, and the vehicle access information corresponding to each time interval is the total number of vehicles entering and leaving the underground garage within the time interval;

[0008] A garage collection mechanism is used to obtain various configuration parameters of the underground garage, wherein the various configuration parameters of the underground garage include the number of parking spaces in the underground garage, the number of permanent residents of the residential building served by the underground garage, and the total number of registered vehicles in the underground garage, and the underground garage is a non-fixed parking space garage;

[0009] A model building mechanism, used to perform training on the deep neural network each time to obtain the deep neural network after each training and output it as an artificial intelligence model, wherein the number of times the deep neural network is trained is proportional to the number of parking spaces in the underground garage;

[0010] A data identification device is connected to the information extraction mechanism, the garage collection mechanism and the model building mechanism respectively, and is used to use the artificial intelligence model to intelligently identify the vehicle access information corresponding to the underground garage in the current time interval based on the duration of each time interval, a plurality of vehicle access information corresponding to a set number of past time intervals before the current time interval, and various configuration parameters of the underground garage, wherein the vehicle access information corresponding to the underground garage in the current time interval is the total number of vehicles entering and leaving the underground garage in the current time interval;

[0011] A strategy customization device, connected to the data identification device, for dynamically determining a parking space reservation strategy for the underground garage in the current time interval based on a difference between a total number of vehicles entering the underground garage and a total number of vehicles leaving the underground garage in the current time interval;

[0012] Among them, the strategy for dynamically determining the reserved parking spaces of the underground garage in the current time interval based on the difference between the total number of vehicles entering and the total number of vehicles leaving the underground garage in the current time interval includes: the greater the difference between the total number of vehicles entering and the total number of vehicles leaving the underground garage in the current time interval, the greater the demand for reserved parking spaces of the underground garage in the current time interval, and the more reserved parking spaces of the underground garage in the current time interval are determined;

[0013] Wherein, obtaining a plurality of vehicle access information corresponding to a set number of past time intervals of the underground garage before the current time interval, wherein the current time interval is a time interval starting from the current time, including: the current time interval is equal to the duration of each time interval in the plurality of past time intervals;

[0014] Among them, multiple vehicle access information corresponding to a set number of past time intervals of the underground garage before the current time interval is obtained, and the current time interval is a time interval starting from the current moment and also includes: the value of the set number is monotonically positively correlated with the floor area of ​​the underground garage.

[0015] It can be seen that the present invention has at least the following three significant substantive features:

[0016] Substantive feature A: A customized artificial intelligence model is used to intelligently identify the vehicle access information corresponding to the current time interval of the underground garage based on the duration of each time interval, multiple vehicle access information corresponding to a set number of past time intervals before the current time interval, and various configuration parameters of the underground garage. The vehicle access information corresponding to the current time interval of the underground garage is the total number of vehicles entering and leaving the underground garage in the current time interval, thereby realizing intelligent analysis of vehicle access information of the underground garage in the future;

[0017] Substantive feature B: The reserved parking space strategy of the underground garage in the current time interval is dynamically determined based on the difference between the total number of vehicles entering and leaving the underground garage in the current time interval. The greater the difference between the total number of vehicles entering and leaving the underground garage in the current time interval, the greater the demand for reserved parking spaces in the underground garage in the current time interval, and the more reserved parking spaces are determined in the underground garage in the current time interval, thereby taking into account both the demand for reserved parking spaces and the demand for free parking spaces in the underground garage;

[0018] Substantive Feature C: The deep neural network is trained multiple times to obtain a deep neural network after each training and used as an artificial intelligence model. The number of times the deep neural network is trained is proportional to the number of parking spaces in the underground garage, thereby customizing artificial intelligence models of different structures for the underground garage, ensuring the reliability and stability of the intelligent identification results of the customized artificial intelligence model.

[0019] The strategy customization system using artificial intelligence model of the present invention is intelligently designed and widely used. Since the customized artificial intelligence model can be used to intelligently identify the vehicle access information corresponding to the underground garage in the current time interval based on various basic data, the intelligent analysis of the vehicle access information of the underground garage in the future time is realized, and reliable data is provided for the vehicle access management in the future time. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0021] Figure 1 It is a diagram showing the internal structure of a policy customization system using an artificial intelligence model according to a first embodiment of the present invention.

[0022] Figure 2 It is a diagram showing the internal structure of a policy customization system using an artificial intelligence model according to a second embodiment of the present invention.

[0023] Figure 3 It is a diagram showing the internal structure of a policy customization system using an artificial intelligence model according to a third embodiment of the present invention. DETAILED DESCRIPTION

[0024] The implementation scheme of the policy customization system using an artificial intelligence model of the present invention will be described in detail below with reference to the accompanying drawings.

[0025] Figure 1 This is an internal structure diagram of a policy customization system using an artificial intelligence model according to a first embodiment of the present invention, wherein the system comprises:

[0026] The information extraction mechanism is used to obtain a plurality of vehicle access information corresponding to a set number of past time intervals of the underground garage before the current time interval, wherein the current time interval is a time interval starting from the current time, and the vehicle access information corresponding to each time interval is the total number of vehicles entering and leaving the underground garage within the time interval;

[0027] For example, an information extraction mechanism for obtaining a plurality of vehicle access information corresponding to a set number of past time intervals of an underground garage before a current time interval, wherein the current time interval is a time interval starting from the current moment, and the vehicle access information corresponding to each time interval is the total number of vehicles entering and leaving the time interval, including: selecting an FPGA chip to implement the information extraction mechanism, for obtaining a plurality of vehicle access information corresponding to a set number of past time intervals of an underground garage before a current time interval, wherein the current time interval is a time interval starting from the current moment, and the vehicle access information corresponding to each time interval is the total number of vehicles entering and leaving the time interval;

[0028] A garage collection mechanism is used to obtain various configuration parameters of the underground garage, wherein the various configuration parameters of the underground garage include the number of parking spaces in the underground garage, the number of permanent residents of the residential building served by the underground garage, and the total number of registered vehicles in the underground garage, and the underground garage is a non-fixed parking space garage;

[0029] A model building mechanism, used to perform training on the deep neural network each time to obtain the deep neural network after each training and output it as an artificial intelligence model, wherein the number of times the deep neural network is trained is proportional to the number of parking spaces in the underground garage;

[0030] A data identification device is connected to the information extraction mechanism, the garage collection mechanism and the model building mechanism respectively, and is used to use the artificial intelligence model to intelligently identify the vehicle access information corresponding to the underground garage in the current time interval based on the duration of each time interval, a plurality of vehicle access information corresponding to a set number of past time intervals before the current time interval, and various configuration parameters of the underground garage, wherein the vehicle access information corresponding to the underground garage in the current time interval is the total number of vehicles entering and leaving the underground garage in the current time interval;

[0031] A strategy customization device, connected to the data identification device, for dynamically determining a parking space reservation strategy for the underground garage in the current time interval based on a difference between a total number of vehicles entering the underground garage and a total number of vehicles leaving the underground garage in the current time interval;

[0032] Among them, the strategy for dynamically determining the reserved parking spaces of the underground garage in the current time interval based on the difference between the total number of vehicles entering and the total number of vehicles leaving the underground garage in the current time interval includes: the greater the difference between the total number of vehicles entering and the total number of vehicles leaving the underground garage in the current time interval, the greater the demand for reserved parking spaces of the underground garage in the current time interval, and the more reserved parking spaces of the underground garage in the current time interval are determined;

[0033] Wherein, obtaining a plurality of vehicle access information corresponding to a set number of past time intervals of the underground garage before the current time interval, wherein the current time interval is a time interval starting from the current time, including: the current time interval is equal to the duration of each time interval in the plurality of past time intervals;

[0034] Wherein, obtaining a plurality of vehicle access information corresponding to a set number of past time intervals of the underground garage before the current time interval, wherein the current time interval is a time interval starting from the current time, further includes: the value of the set number is monotonically positively correlated with the floor area of ​​the underground garage;

[0035] Among them, the artificial intelligence model is used to intelligently identify the vehicle access information corresponding to the current time interval of the underground garage based on the duration of each time interval, multiple pieces of vehicle access information corresponding to a set number of past time intervals before the current time interval of the underground garage, and various configuration parameters of the underground garage. The vehicle access information corresponding to the current time interval of the underground garage is the total number of vehicles entering and leaving the underground garage in the current time interval, including: the duration of each time interval, multiple pieces of vehicle access information corresponding to a set number of past time intervals before the current time interval of the underground garage, and various configuration parameters of the underground garage are synchronously input into the artificial intelligence model.

[0036] Figure 2 It is a diagram showing the internal structure of a policy customization system using an artificial intelligence model according to a second embodiment of the present invention.

[0037] exist Figure 2 In, with Figure 1 Differently, the policy customization system using the artificial intelligence model shown in the second embodiment of the present invention may also include:

[0038] A WIFI communication mechanism is arranged near the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device and is connected to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively;

[0039] Among them, the WIFI communication mechanism is arranged near the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device and is respectively connected to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device, including: the WIFI communication mechanism is used to respectively perform WIFI communication services for the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device.

[0040] Figure 3 It is a diagram showing the internal structure of a policy customization system using an artificial intelligence model according to a third embodiment of the present invention.

[0041] exist Figure 3 In, with Figure 1 Differently, the policy customization system using the artificial intelligence model shown in the third embodiment of the present invention may also include:

[0042] A Beidouxing navigation mechanism is arranged near the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device and is connected to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively;

[0043] Among them, the Beidou star navigation mechanism is arranged near the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device and is respectively connected to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device, including: the Beidou star navigation mechanism is used to respectively realize the positioning data service based on the Beidou star navigation mode for the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device.

[0044] Next, the specific structure of the strategy customization system using the artificial intelligence model of the present invention will be further described.

[0045] In a policy customization system using an artificial intelligence model according to any embodiment of the present invention:

[0046] An image correction mechanism is used to perform image data processing on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively.

[0047] In a policy customization system using an artificial intelligence model according to any embodiment of the present invention:

[0048] The image correction mechanism is used to perform image data processing on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively, including: performing geometric correction on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively.

[0049] In a policy customization system using an artificial intelligence model according to any embodiment of the present invention:

[0050] The image correction mechanism is used to perform image data processing on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively, including: performing dynamic range expansion on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively.

[0051] In a policy customization system using an artificial intelligence model according to any embodiment of the present invention:

[0052] An image correction mechanism is used to perform image data processing on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively, including: performing histogram equalization on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively.

[0053] And in a policy customization system using an artificial intelligence model according to any embodiment of the present invention:

[0054] The image correction mechanism is used to perform image data processing on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively, including: performing spatial differentiation method sharpening on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively.

[0055] In addition, in the strategy customization system using the artificial intelligence model, the artificial intelligence model is used to intelligently identify the vehicle access information corresponding to the current time interval of the underground garage based on the duration of each time interval, multiple vehicle access information corresponding to a set number of past time intervals of the underground garage before the current time interval, and various configuration parameters of the underground garage. The vehicle access information corresponding to the current time interval of the underground garage is the total number of vehicles entering and leaving the underground garage in the current time interval, and further includes: running the artificial intelligence model to obtain the vehicle access information corresponding to the current time interval of the underground garage output by the artificial intelligence model;

[0056] Among them, the artificial intelligence model is used to intelligently identify the vehicle access information corresponding to the current time interval of the underground garage based on the duration of each time interval, multiple vehicle access information corresponding to a set number of past time intervals before the current time interval of the underground garage, and various configuration parameters of the underground garage. The vehicle access information corresponding to the underground garage in the current time interval is the total number of vehicles entering and leaving the underground garage in the current time interval. It also includes: using a numerical simulation mode to realize the simulation and testing of the data processing process of using the artificial intelligence model to intelligently identify the vehicle access information corresponding to the current time interval of the underground garage based on the duration of each time interval, multiple vehicle access information corresponding to a set number of past time intervals before the current time interval of the underground garage, and various configuration parameters of the underground garage.

[0057] Although the present invention has been described in considerable detail, it should be appreciated that the elements thereof may be modified by one skilled in the art without departing from the spirit and scope of the present invention. It is believed that the system of the present invention and the advantages attendant thereto will be understood by the foregoing description, and it is clear that various changes may be made to the form, structure and arrangement of its components therein without departing from the scope and spirit of the present invention or sacrificing all of the substantial advantages of the present invention, and since the form heretofore described is merely an illustrative embodiment of the present invention, no additional substantial changes will be provided. The claims are intended to cover and include such changes.

Claims

1. A strategy customization system using an artificial intelligence model, characterized in that: The system comprises: The information extraction mechanism is used to obtain a plurality of vehicle access information corresponding to a set number of past time intervals of the underground garage before the current time interval, wherein the current time interval is a time interval starting from the current time, and the vehicle access information corresponding to each time interval is the total number of vehicles entering and leaving the underground garage within the time interval; A garage collection mechanism is used to obtain various configuration parameters of the underground garage, wherein the various configuration parameters of the underground garage include the number of parking spaces in the underground garage, the number of permanent residents of the residential building served by the underground garage, and the total number of registered vehicles in the underground garage, and the underground garage is a non-fixed parking space garage; A model building mechanism, used to perform training on the deep neural network each time to obtain the deep neural network after each training and output it as an artificial intelligence model, wherein the number of times the deep neural network is trained is proportional to the number of parking spaces in the underground garage; A data identification device is connected to the information extraction mechanism, the garage collection mechanism and the model building mechanism respectively, and is used to use the artificial intelligence model to intelligently identify the vehicle access information corresponding to the underground garage in the current time interval based on the duration of each time interval, a plurality of vehicle access information corresponding to a set number of past time intervals before the current time interval, and various configuration parameters of the underground garage, wherein the vehicle access information corresponding to the underground garage in the current time interval is the total number of vehicles entering and leaving the underground garage in the current time interval; A strategy customization device, connected to the data identification device, for dynamically determining a parking space reservation strategy for the underground garage in the current time interval based on a difference between a total number of vehicles entering the underground garage and a total number of vehicles leaving the underground garage in the current time interval; Among them, the strategy for dynamically determining the reserved parking spaces of the underground garage in the current time interval based on the difference between the total number of vehicles entering and the total number of vehicles leaving the underground garage in the current time interval includes: the greater the difference between the total number of vehicles entering and the total number of vehicles leaving the underground garage in the current time interval, the greater the demand for reserved parking spaces of the underground garage in the current time interval, and the more reserved parking spaces of the underground garage in the current time interval are determined; Wherein, obtaining a plurality of vehicle access information corresponding to a set number of past time intervals of the underground garage before the current time interval, wherein the current time interval is a time interval starting from the current time, including: the current time interval is equal to the duration of each time interval in the plurality of past time intervals; Among them, multiple vehicle access information corresponding to a set number of past time intervals of the underground garage before the current time interval is obtained, and the current time interval is a time interval starting from the current moment and also includes: the value of the set number is monotonically positively correlated with the floor area of ​​the underground garage.

2. The strategy customization system using an artificial intelligence model as claimed in claim 1, characterized in that: The artificial intelligence model is used to intelligently identify the vehicle access information corresponding to the current time interval of the underground garage based on the duration of each time interval, multiple pieces of vehicle access information corresponding to a set number of past time intervals before the current time interval, and various configuration parameters of the underground garage. The vehicle access information corresponding to the underground garage in the current time interval is the total number of vehicles entering and leaving the underground garage in the current time interval, including: the duration of each time interval, multiple pieces of vehicle access information corresponding to a set number of past time intervals before the current time interval, and various configuration parameters of the underground garage are synchronously input into the artificial intelligence model.

3. The strategy customization system using an artificial intelligence model as claimed in claim 2, characterized in that: The system further comprises: A WIFI communication mechanism is arranged near the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device and is connected to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively; Among them, the WIFI communication mechanism is arranged near the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device and is respectively connected to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device, including: the WIFI communication mechanism is used to respectively perform WIFI communication services for the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device.

4. The strategy customization system using an artificial intelligence model as claimed in claim 2, characterized in that: The system further comprises: A Beidouxing navigation mechanism is arranged near the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device and is connected to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively; Among them, the Beidou star navigation mechanism is arranged near the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device and is respectively connected to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device, including: the Beidou star navigation mechanism is used to respectively realize the positioning data service based on the Beidou star navigation mode for the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device.

5. The policy customization system using an artificial intelligence model as claimed in any one of claims 2 to 4, characterized in that: An image correction mechanism is used to perform image data processing on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively.

6. The policy customization system using an artificial intelligence model as claimed in claim 5, characterized in that: The image correction mechanism is used to perform image data processing on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively, including: performing geometric correction on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively.

7. The policy customization system using an artificial intelligence model as claimed in claim 5, characterized in that: The image correction mechanism is used to perform image data processing on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively, including: performing dynamic range expansion on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively.

8. The policy customization system using an artificial intelligence model as claimed in claim 5, characterized in that: An image correction mechanism is used to perform image data processing on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively, including: performing histogram equalization on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively.

9. The policy customization system using an artificial intelligence model as claimed in claim 5, characterized in that: The image correction mechanism is used to perform image data processing on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively, including: performing spatial differentiation method sharpening on the output data of the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device to obtain the output processing data corresponding to the information extraction mechanism, the garage collection mechanism, the model construction mechanism and the data identification device respectively.

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