An ecological environment intelligent monitoring system based on cloud computing

Abstract

The application discloses an ecological environment intelligent monitoring system based on cloud computing and relates to the technical field of ecological environment monitoring.A first collecting module is used for collecting ecological information of a park to obtain park position information.A division module is connected with the first collecting module and is used for dividing the monitoring level of landscape types in the park based on the park position information.A second collecting module is connected with the division module and is used for collecting information of people entering the park.A calculating module is connected with the second collecting module and is used for collecting the number of times of abnormal prompt data of people entering the park at the moment.A judging module is connected with the calculating module and is used for obtaining historical data.A third collecting module is connected with the judging module.The ecological environment in the park can be maintained through behavior control of people entering the park, the protection of plants is strengthened, the influence of people on plants is avoided, the ecological environment of the park is monitored and maintained, and the application has a good auxiliary effect.

Description

Technical Field

[0001] This invention relates to the field of ecological environment monitoring technology, and specifically to a cloud computing-based intelligent ecological environment monitoring system. Background Technology

[0002] With social development, tourism has become increasingly popular, and parks are among the most frequently visited attractions. These parks offer beautiful ecological environments that provide relaxation. However, due to the large number of visitors, it's difficult to maintain their behavior, potentially leading to varying degrees of damage to the park's environment. Therefore, monitoring the park's ecosystem is necessary. It's difficult to issue warnings when visitors damage the environment, and there's no standardized way to restrict entry for those who frequently vandalize the park's landscape. This makes maintaining the park's ecosystem extremely challenging and lacks effective oversight. Summary of the Invention

[0003] The purpose of this invention is to provide a cloud computing-based intelligent ecological environment monitoring system to address the shortcomings of the prior art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: an intelligent ecological environment monitoring system based on cloud computing, comprising:

[0005] The first data acquisition module is used to collect ecological information of the park to obtain the park's location information, and to configure monitoring points based on the park's location information.

[0006] The classification module, connected to the first acquisition module, is used to classify the monitoring levels of landscape types within the park based on the park's location information, and to formulate corresponding monitoring rules based on the monitoring levels.

[0007] The second acquisition module, connected to the segmentation module, is used to collect information of visitors. Based on edge-cloud collaboration, it obtains the visitor's behavior information according to the visitor information. Behavior information that meets the monitoring rules is used as abnormal prompt data, and the abnormal prompt data is sent to the visitor's mobile terminal in real time.

[0008] The calculation module, connected to the second acquisition module, is used to collect the number of times abnormal prompts occur for visitors during the current visit, obtain the visitor quality mark index based on the number of times and behavioral information, and store the visitor quality mark index as historical data.

[0009] The judgment module, connected to the calculation module, is used to acquire historical data and determine the admission eligibility of visitors based on the cumulative visitor tag index in the historical data. Admission eligibility includes being eligible to enter and being ineligible to enter.

[0010] The third acquisition module, connected to the judgment module, is used to acquire initial landscape type status images and compare them with current landscape type status images to obtain target verification information, and to reformulate monitoring rules based on the target verification information.

[0011] In a preferred embodiment, the first acquisition module includes:

[0012] The data collection unit is used to collect map information of the park and obtain ecological information of the park environment based on the map information. The ecological information of the park includes the types of park landscapes and the map locations corresponding to the types of park landscapes. The ecological information of the park is represented by an electronic map as the park location information.

[0013] The configuration unit, connected to the acquisition unit, is used to obtain the map location corresponding to the park landscape type. The map location corresponding to the park landscape type includes the map location corresponding to the park landscape type and the area covered by the park landscape type. Monitoring points are configured based on the area covered by the park landscape type.

[0014] In a preferred embodiment, the configuration unit includes:

[0015] The area judgment unit is used to obtain the area covered by the park landscape types, set the area conditions for configuring a single monitoring point, and configure the number of monitoring points required to cover the area of ​​the park landscape types according to the rounding principle, with the area conditions as the unit for configuring monitoring points. The rounding principle is to round the area covered by the park landscape types to the nearest multiple of the area conditions.

[0016] The selection unit, connected to the area judgment unit, is used to install monitoring points within the area covered by the park's landscape types based on the number of monitoring points, using area conditions as the installation area unit, to obtain the installation location information of the monitoring points.

[0017] The identity acquisition unit, connected to the selection unit, is used to collect the installation location information of the monitoring point and assign an identity number to the monitoring point. The number and the installation location information are used as the monitoring point information.

[0018] In a preferred embodiment, the partitioning module includes:

[0019] The acquisition module is used to acquire images of the park's landscape types and initial landscape type status, and to determine the monitoring level based on the park's landscape types. The monitoring levels are divided into Level 1 monitoring and Level 2 monitoring.

[0020] The formulation module, connected to the acquisition module, is used to formulate corresponding monitoring rules based on the monitoring level. The monitoring rules include first-level preset conditions and second-level preset conditions.

[0021] In a preferred embodiment, the second acquisition module includes:

[0022] The information collection unit is used to collect the identity information, facial information, and contact information of visitors as visitor information.

[0023] The behavior collection unit, connected to the information collection unit, is used to collect the behavior information of visitors based on monitoring points. The behavior information includes the visitor's identity, the visitor's current location, the type of park landscape the visitor is looking at, and the behavior image of the visitor looking at the park landscape.

[0024] The behavior judgment unit, connected to the behavior acquisition unit, is used to acquire the behavior information of visitors. Based on the type of park landscape visited by the visitor and the behavior image of the visitor visiting the park landscape, it judges whether it conforms to the monitoring rules. Behavior information that conforms to the monitoring rules is used as abnormal prompt data and the abnormal prompt data is sent to the visitor's mobile terminal in real time.

[0025] In a preferred embodiment, the computing module includes:

[0026] The evaluation unit is used to obtain the number of abnormal prompts for each visitor and to obtain the visitor quality mark index based on the number of prompts and behavioral information.

[0027] The storage unit, connected to the evaluation unit, is used to acquire the quality marker index of visitors and store the corresponding visitor information as historical data.

[0028] In a preferred embodiment, the determining module includes:

[0029] The data acquisition unit is used to acquire historical data and calculate the cumulative historical data to obtain the admission qualification index, which is used to determine the eligibility of visitors.

[0030] The eligibility assessment unit, connected to the data acquisition unit, is used to obtain the eligibility of park visitors whose eligibility index exceeds the preset conditions and restrict their park entry eligibility.

[0031] In a preferred embodiment, the third acquisition module includes:

[0032] The maintenance status acquisition unit is used to acquire an initial landscape type status image and compare it with the current landscape type status image. Based on the same season, it extracts the contour range of the initial landscape type status image and the current landscape type status image. It compares the contour difference information between the initial landscape type status image and the current landscape type status image and obtains the contour difference information that the contour range of the initial landscape type status image is smaller than that of the current landscape type status image. The target verification information is obtained, which includes landscape type and contour difference information. The contour difference information is the difference in area between the landscape type contour area captured by the image.

[0033] The comparison unit, connected to the maintenance status acquisition unit, is used to acquire landscape types whose target verification information exceeds the verification threshold as adjustment landscape types, and to revise the monitoring rules based on the adjustment landscape types.

[0034] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0035] This invention enables detailed division and management of the park's ecological environment, facilitating more precise monitoring. It allows for tiered monitoring of scenic spots, protecting them while providing recreational opportunities for visitors. This significantly improves the quality of ecological management within the park, demonstrating strong ecological management capabilities. Furthermore, it utilizes edge monitoring points with cloud-edge collaboration to assess visitor behavior and determine their eligibility for entry. By controlling visitor behavior, the invention helps maintain the park's ecological environment, strengthens plant protection, prevents human-caused damage, and provides effective auxiliary functions for monitoring and maintaining the park's ecological environment. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0037] Figure 1 This is a system block diagram of the present invention. Detailed Implementation

[0038] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0039] Example 1, please refer to Figure 1 As shown in this embodiment, a cloud-based intelligent ecological environment monitoring system includes:

[0040] The first data acquisition module is used to collect ecological information of the park to obtain the park's location information, and to configure monitoring points based on the park's location information.

[0041] The classification module, connected to the first acquisition module, is used to classify the monitoring levels of landscape types within the park based on the park's location information, and to formulate corresponding monitoring rules based on the monitoring levels.

[0042] The second acquisition module, connected to the segmentation module, is used to collect information of visitors. Based on edge-cloud collaboration, it obtains the visitor's behavior information according to the visitor information. Behavior information that meets the monitoring rules is used as abnormal prompt data, and the abnormal prompt data is sent to the visitor's mobile terminal in real time.

[0043] The calculation module, connected to the second acquisition module, is used to collect the number of times abnormal prompts occur for visitors during the current visit, obtain the visitor quality mark index based on the number of times and behavioral information, and store the visitor quality mark index as historical data.

[0044] The judgment module, connected to the calculation module, is used to acquire historical data and determine the admission eligibility of visitors based on the cumulative visitor tag index in the historical data. Admission eligibility includes being eligible to enter and being ineligible to enter.

[0045] The third acquisition module, connected to the judgment module, is used to acquire initial landscape type status images and compare them with current landscape type status images to obtain target verification information, and to re-formulate monitoring rules based on the target verification information.

[0046] To further explain, with social development, tourism has become increasingly popular, and parks are among the most frequently visited attractions. These parks offer beautiful ecological environments that provide relaxation for people. However, due to the large number of visitors, it's difficult to maintain their behavior, potentially leading to varying degrees of damage to the park's ecological environment. Therefore, monitoring the park's ecological environment is necessary. It's difficult to issue warnings when visitors damage the environment, and there's no single standard to restrict entry for those who frequently vandalize the park's landscape. This makes maintaining the park's ecological environment quite challenging and lacks effective oversight.

[0047] This application enables detailed division and management of the park's ecological environment, facilitating more precise monitoring of the ecological environment. It allows for tiered monitoring of scenic spot information, ensuring visitors can relax and enjoy themselves while protecting the attractions. This significantly improves the quality of ecological management in the park, demonstrating strong ecological management capabilities. Furthermore, it enables the use of edge monitoring points in a cloud-edge collaborative system to assess visitor behavior and determine their eligibility for entry. By controlling visitor behavior, it helps maintain the park's ecological environment, strengthens plant protection, prevents human-caused damage to plants, and effectively monitors and maintains the park's ecological environment, providing excellent auxiliary support.

[0048] In one embodiment, the first acquisition module includes:

[0049] The data collection unit is used to collect map information of the park and obtain ecological information of the park environment based on the map information. The ecological information of the park includes the types of park landscapes and the map locations corresponding to the types of park landscapes. The ecological information of the park is represented by an electronic map as the park location information.

[0050] The configuration unit, connected to the acquisition unit, is used to obtain the map location corresponding to the park landscape type. The map location corresponding to the park landscape type includes the map location corresponding to the park landscape type and the area covered by the park landscape type. Monitoring points are configured based on the area covered by the park landscape type.

[0051] To further explain, the process involves collecting map information within the park and mapping the park's ecological information onto the map. This ecological information includes the types of landscapes within the park and their corresponding map locations. The park's ecological information is then represented on an electronic map, obtaining the map locations corresponding to each type of landscape. These map locations include the map location of the landscape type and the area covered by that landscape type. For example, in a tourist park, there are multiple scenic spots, each with multiple landscape types, such as plants and waterways. Therefore, it is necessary to categorize and distinguish these landscapes and display them on the map. Then, monitoring points are configured based on the area covered by each landscape type. These monitoring points are cameras, which can meticulously divide the park's ecological environment and manage it accordingly, enabling more precise monitoring of the ecological environment in the future.

[0052] In one embodiment, the configuration unit includes:

[0053] The area judgment unit is used to obtain the area covered by the park landscape types, set the area conditions for configuring a single monitoring point, and configure the number of monitoring points required to cover the area of ​​the park landscape types according to the rounding principle, with the area conditions as the unit for configuring monitoring points. The rounding principle is to round the area covered by the park landscape types to the nearest multiple of the area conditions.

[0054] The selection unit, connected to the area judgment unit, is used to install monitoring points within the area covered by the park's landscape types based on the number of monitoring points, using area conditions as the installation area unit, to obtain the installation location information of the monitoring points.

[0055] The identity acquisition unit, connected to the selection unit, is used to collect the installation location information of the monitoring point and assign an identity number to the monitoring point. The identity number and the installation location information are used as the monitoring point information.

[0056] To further explain, based on the area covered by the park's landscape types, area conditions for configuring individual monitoring points are set. Following a rounding principle, the number of monitoring points required to cover the area covered by each landscape type is configured using the area conditions as the unit. For example, if the area condition for configuring a single monitoring point is S1, and the area covered by the park's landscape type is S, then the formula for configuring the number of single monitoring points is: When the result of S / S1 is exactly an integer T, then T is the number of monitoring points configured. If the result is Ta with a remainder, then T+1 is taken as the number of monitoring points configured. Monitoring points are then installed within the area covered by the park's landscape types, using the area conditions as the unit, and each monitoring point is assigned an identification number. This identification number, along with the installation location information, serves as the monitoring point information, enabling location and identification of the monitoring points. This clearly manages the relationship between the monitoring points and the park map, facilitating subsequent monitoring of the park's ecological information.

[0057] In one embodiment, the partitioning module includes:

[0058] The acquisition module is used to acquire images of the park's landscape types and initial landscape type status, and to determine the monitoring level based on the park's landscape types. The monitoring levels are divided into Level 1 monitoring and Level 2 monitoring.

[0059] The formulation module, connected to the acquisition module, is used to formulate corresponding monitoring rules based on the monitoring level. The monitoring rules include first-level preset conditions and second-level preset conditions.

[0060] To further explain, the process involves acquiring information on the types of landscapes within the park and establishing monitoring levels accordingly. For example, due to their high maintenance and value, the cost of damaging certain landscapes within the park is significant. Therefore, different monitoring levels need to be established for different landscape types based on their maintenance and value. Level 1 monitoring is for difficult-to-maintain, easily damaged, and high-value landscape types, while Level 2 monitoring is for easy-to-maintain, not easily damaged, and low-value landscape types. The specific value and maintenance difficulty levels for these level classifications are determined by the park's management. This explanation helps to understand the definition of monitoring levels. Based on these levels, monitoring rules are established, including Level 1 and Level 2 pre-set conditions. The first-level preset conditions correspond to the first-level monitoring, and the second-level preset conditions correspond to the second-level monitoring. The monitoring rules are based on the degree of behavior. For example, images of touching scenic items, pulling plants or scenic items, picking plants, and violently damaging plants or other scenic items correspond to the first-level preset conditions. Images of picking plants and violently damaging plants or other scenic items correspond to the second-level preset conditions. By mapping these types of images to the first-level and second-level preset conditions respectively, they can be used as judgment criteria. This allows for the separate monitoring of scenic information at different levels, which can protect scenic spots while satisfying visitors' desire to relax and enjoy themselves, and can greatly improve the quality of ecological management in the park.

[0061] In one embodiment, the second acquisition module includes:

[0062] The information collection unit is used to collect the identity information, facial information, and contact information of visitors as visitor information.

[0063] The behavior collection unit, connected to the information collection unit, is used to collect the behavior information of visitors based on monitoring points. The behavior information includes the visitor's identity, the visitor's current location, the type of park landscape the visitor is looking at, and the behavior image of the visitor looking at the park landscape.

[0064] The behavior judgment unit, connected to the behavior acquisition unit, is used to acquire the behavior information of visitors. It judges whether the behavior conforms to the monitoring rules based on the type of park landscape visited by the visitor and the behavior image of the visitor visiting the park landscape. Behavior information that conforms to the monitoring rules is used as abnormal prompt data and the abnormal prompt data is sent to the visitor's mobile terminal in real time.

[0065] To further explain, when visitors enter the park, their identity information, facial information, and contact information are collected as visitor information. Behavioral information is also collected based on monitoring points. This behavioral information includes the visitor's identity, current location, the type of park landscape the visitor is looking at, and images of the visitor's behavior towards that landscape. For example, if a visitor is detected near a scenic spot by a monitoring point, their behavioral information is collected and compared with monitoring rules to determine whether the visitor has caused any damage to items within the scenic spot. If the behavior conforms to the monitoring rules, it is considered abnormal and is sent to the visitor's mobile phone via SMS in real time. This allows the visitor to understand the burden their behavior places on the scenic spot and is not permitted by park management, thus prompting them to pay attention to their subsequent behavior. This demonstrates good ecological environment management capabilities. Furthermore, the behavior of visitors can be judged by devices in edge monitoring points through edge-cloud collaboration, and the abnormal alert data is then stored in the cloud.

[0066] In one embodiment, the computing module includes:

[0067] The evaluation unit is used to obtain the number of abnormal notifications for each visitor, and to obtain the visitor quality marker index based on the number of notifications and behavioral information. The formula for the visitor quality marker index is as follows:

[0068] ;in, This is the visitor quality indicator index, where n represents the number of abnormal notifications for that visitor during that visit. The monitoring level evaluation coefficient corresponding to the behavioral information is , where Different values ​​are used depending on the monitoring level. The evaluation coefficient for Level 1 monitoring is greater than that for Level 2 monitoring. It should be noted that n and The larger the value, the better. The higher the value, the lower the quality of visitors and the greater the damage to the park.

[0069] The storage unit, connected to the evaluation unit, is used to acquire the quality marker index of visitors and store the corresponding visitor information as historical data.

[0070] To further explain, when visitors damage the park, monitoring points are used to monitor the behavior and obtain information based on the monitoring rules. This results in abnormal alert data. The frequency of these abnormal alerts is stored, and the visitor's quality is marked based on the frequency and behavior information to obtain a visitor quality mark index. This index can be used to assess the visitor's eligibility to enter the park and to maintain the ecological environment within the park by controlling visitor behavior.

[0071] In one embodiment, the determination module includes:

[0072] The data acquisition unit is used to acquire historical data and calculate the cumulative historical data to obtain the admission eligibility index. The admission eligibility index is used to determine the eligibility of applicants. The formula for calculating the admission eligibility index is as follows:

[0073] ;in, As an index for park admission eligibility, The percentage of visitors whose park visit frequency resulted in abnormal alerts should be noted. The larger the proportion, The higher the value, the worse the eligibility index for admission to the park;

[0074] The eligibility assessment unit, connected to the data acquisition unit, is used to obtain the eligibility of park visitors whose eligibility index exceeds the preset conditions and restrict their park entry eligibility.

[0075] To further explain, historical data is obtained and accumulated to obtain an entry qualification index. For example, if an entrant has multiple abnormal notifications after multiple entries, the quality marker index of the entrant is comprehensively calculated to determine their eligibility for future entry. This allows for restrictions on entry for individuals who like to damage the park's ecological environment, thus better maintaining the park's ecological environment. The percentage of abnormal notifications for an entrant's entries provides insight into their behavior. For example, if an entrant has visited the park five times and has two abnormal notifications, the percentage of abnormal notifications is 40%, which is used to obtain the entry qualification index and restrict individuals who may damage the ecological environment.

[0076] In one embodiment, the third acquisition module includes:

[0077] The maintenance status acquisition unit is used to acquire an initial landscape type status image and compare it with the current landscape type status image. Based on the same season, it extracts the contour range of the initial landscape type status image and the current landscape type status image. It compares the contour difference information between the initial landscape type status image and the current landscape type status image and obtains the contour difference information that the contour range of the initial landscape type status image is smaller than that of the current landscape type status image. The target verification information is obtained, which includes landscape type and contour difference information. The contour difference information is the difference in area between the landscape type contour area captured by the image.

[0078] The comparison unit, connected to the maintenance status acquisition unit, is used to acquire landscape types whose target verification information exceeds the verification threshold as adjustment landscape types, and to re-formulate the monitoring rules for adjustment landscape types.

[0079] To further explain, at the initial stage of the park's development, initial landscape type status images are pre-collected. Subsequently, images of the current landscape type status can be collected periodically. During the same season, the outline range of plant species is extracted and analyzed, representing the density of the plants. This reveals the plant growth status as the park develops. Within the same seasonal period, the outline range difference of the same plant species is used as outline difference information. The outline difference information obtained, where the outline range of the initial landscape type status image is smaller than that of the current landscape type status image, provides target verification information. This target verification information serves as a reference for deteriorating plant growth. Subsequently, the landscape type and outline difference information are used as target verification information. Landscape types whose target verification information exceeds the verification threshold are designated for adjustment. If plant development is poor, the monitoring rules are revised. For example, the first and second preset conditions are modified for different plant types to strengthen plant protection, prevent human-caused impacts on plants, and effectively monitor and maintain the park's ecological environment. This provides a good auxiliary function.

[0080] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A cloud-based intelligent ecological environment monitoring system, characterized in that, include: The first data acquisition module is used to collect ecological information of the park to obtain the park's location information, and to configure monitoring points based on the park's location information. The classification module, connected to the first acquisition module, is used to classify the monitoring levels of landscape types within the park based on the park's location information, and to formulate corresponding monitoring rules based on the monitoring levels. The second acquisition module, connected to the segmentation module, is used to collect information of visitors. Based on edge-cloud collaboration, it obtains the visitor's behavior information according to the visitor information. Behavior information that meets the monitoring rules is used as abnormal prompt data, and the abnormal prompt data is sent to the visitor's mobile terminal in real time. The calculation module, connected to the second acquisition module, is used to collect the number of times abnormal prompts occur for visitors during the current visit, obtain the visitor quality mark index based on the number of times and behavioral information, and store the visitor quality mark index as historical data. The judgment module, connected to the calculation module, is used to acquire historical data and determine the admission eligibility of visitors based on the cumulative visitor tag index in the historical data. Admission eligibility includes being eligible to enter and being ineligible to enter. The third acquisition module, connected to the judgment module, is used to acquire initial landscape type status images and compare them with current landscape type status images to obtain target verification information, and to reformulate monitoring rules based on the target verification information.

2. The cloud-based intelligent ecological environment monitoring system according to claim 1, characterized in that: The first acquisition module includes: The data collection unit is used to collect map information of the park and obtain ecological information of the park environment based on the map information. The ecological information of the park includes the types of park landscapes and the map locations corresponding to the types of park landscapes. The ecological information of the park is represented by an electronic map as the park location information. The configuration unit, connected to the acquisition unit, is used to obtain the map location corresponding to the park landscape type. The map location corresponding to the park landscape type includes the map location corresponding to the park landscape type and the area covered by the park landscape type. Monitoring points are configured based on the area covered by the park landscape type.

3. The cloud-based intelligent ecological environment monitoring system according to claim 2, characterized in that: The configuration unit includes: The area judgment unit is used to obtain the area covered by the park landscape types, set the area conditions for configuring a single monitoring point, and configure the number of monitoring points required to cover the area of ​​the park landscape types according to the rounding principle, with the area conditions as the unit for configuring monitoring points. The rounding principle is to round the area covered by the park landscape types to the nearest multiple of the area conditions. The selection unit, connected to the area judgment unit, is used to install monitoring points within the area covered by the park's landscape types based on the number of monitoring points, using area conditions as the installation area unit, to obtain the installation location information of the monitoring points. The identity acquisition unit, connected to the selection unit, is used to collect the installation location information of the monitoring point and assign an identity number to the monitoring point. The number and the installation location information are used as the monitoring point information.

4. The cloud-based intelligent ecological environment monitoring system according to claim 1, characterized in that: The partitioning module includes: The acquisition module is used to acquire images of the park's landscape types and initial landscape type status, and to determine the monitoring level based on the park's landscape types. The monitoring levels are divided into Level 1 monitoring and Level 2 monitoring. The formulation module, connected to the acquisition module, is used to formulate corresponding monitoring rules based on the monitoring level. The monitoring rules include first-level preset conditions and second-level preset conditions.

5. The cloud-based intelligent ecological environment monitoring system according to claim 1, characterized in that: The second acquisition module includes: The information collection unit is used to collect the identity information, facial information, and contact information of visitors as visitor information. The behavior collection unit, connected to the information collection unit, is used to collect the behavior information of visitors based on monitoring points. The behavior information includes the visitor's identity, the visitor's current location, the type of park landscape the visitor is looking at, and the behavior image of the visitor looking at the park landscape. The behavior judgment unit, connected to the behavior acquisition unit, is used to acquire the behavior information of visitors. Based on the type of park landscape visited by the visitor and the behavior image of the visitor visiting the park landscape, it judges whether it conforms to the monitoring rules. Behavior information that conforms to the monitoring rules is used as abnormal prompt data and the abnormal prompt data is sent to the visitor's mobile terminal in real time.

6. The cloud-based intelligent ecological environment monitoring system according to claim 1, characterized in that: The computing module includes: The evaluation unit is used to obtain the number of abnormal prompts for each visitor and to obtain the visitor quality mark index based on the number of prompts and behavioral information. The storage unit, connected to the evaluation unit, is used to acquire the quality marker index of visitors and store the corresponding visitor information as historical data.

7. The cloud-based intelligent ecological environment monitoring system according to claim 1, characterized in that: The judgment module includes: The data acquisition unit is used to acquire historical data and calculate the cumulative historical data to obtain the admission qualification index, which is used to determine the eligibility of visitors. The eligibility assessment unit, connected to the data acquisition unit, is used to obtain the eligibility of park visitors whose eligibility index exceeds the preset conditions and restrict their park entry eligibility.

8. The cloud-based intelligent ecological environment monitoring system according to claim 1, characterized in that: The third acquisition module includes: The maintenance status acquisition unit is used to acquire an initial landscape type status image and compare it with the current landscape type status image. Based on the same season, it extracts the contour range of the initial landscape type status image and the current landscape type status image. It compares the contour difference information between the initial landscape type status image and the current landscape type status image and obtains the contour difference information that the contour range of the initial landscape type status image is smaller than that of the current landscape type status image. The target verification information is obtained, which includes landscape type and contour difference information. The contour difference information is the difference in area between the landscape type contour area captured by the image. The comparison unit, connected to the maintenance status acquisition unit, is used to acquire landscape types whose target verification information exceeds the verification threshold as adjustment landscape types, and to revise the monitoring rules based on the adjustment landscape types.

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