Multi-terminal intelligent rural environment monitoring system

Abstract

The invention belongs to the technical field of rural ecological environment monitoring, and provides a multi-terminal intelligent rural environment monitoring system which comprises a rural environment data construction module, a rural environment data classification module, an environment monitoring point setting module, a pollution point location training data collection module, an environment data analysis module and an environment change prediction module. All the modules are electrically connected; according to the invention, the environment change prediction information is obtained according to the environment monitoring graph, insufficient and abnormal conditions can be found in time, the labor intensity of workers is reduced, the workers can conveniently maintain the rural environment according to the environment change prediction information, and the monitoring and maintenance efficiency of the rural environment can be improved; and meanwhile, the influence of human factors on rural environment data analysis can be effectively reduced by utilizing the data analysis model, so that the accuracy of a rural environment analysis result is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of rural ecological environment monitoring, and specifically is a multi-terminal smart rural environment monitoring system. Background Art

[0002] Rural environment is a fundamental issue that directly affects the construction of new rural areas and rural sustainable development. Monitoring the rural environment and timely discovering and locating pollution sources to avoid the worsening of pollution has become an urgent problem to be solved.

[0003] At present, the monitoring methods for rural environment include remote monitoring technology, drone technology and manual monitoring methods. Remote monitoring technology uses remote sensing technology and satellite images to conduct remote sensing monitoring of the environment in rural areas. Drone technology uses drones for aerial photography and data collection. Manual monitoring is that testers personally go to rural areas to collect data on the rural environment for monitoring and analysis of the environment in rural areas.

[0004] However, among the existing rural environmental monitoring methods, the use of remote monitoring technology or drone technology requires expensive equipment and professional operators, resulting in high monitoring costs and is not suitable for economically scarce rural areas; the use of manual monitoring methods will increase labor costs and manual inspections will make it difficult to achieve comprehensive coverage and real-time monitoring of the rural environment.

[0005] To this end, technicians in this field have proposed a multi-terminal smart rural environment monitoring system to monitor the rural environment. Summary of the invention

[0006] In order to solve the above technical problems, the present invention provides a multi-terminal smart rural environment monitoring system to solve the problems mentioned in the background technology.

[0007] A multi-terminal smart rural environment monitoring system includes a rural environment data construction module, a rural environment data classification module, an environmental monitoring point setting module, a pollution point training data collection module, an environmental data analysis module, and an environmental change prediction module; wherein each module is electrically connected.

[0008] Preferably, the rural environment data construction module is used to collect rural environment data in advance, and after determining the rural environment area to be monitored, obtain the rural environment image in the area in real time to construct a rural environment data model.

[0009] Preferably, the rural environmental data include remote sensing ecological index data, meteorological data, humanities data, soil data, plant greening data, agricultural planting data, spatial business data, population distribution data, rural ecological sensitivity assessment data, and rural construction and development intensity data.

[0010] Preferably, the rural environment data classification module is used to input the rural environment image obtained in the rural environment data construction module into a preset image analysis model, use the image analysis model to cluster the obtained rural environment image, cluster it according to similarity, and classify different landforms in the rural environment image into different categories.

[0011] Preferably, the environmental monitoring point setting module is used to select environmental monitoring points for environmental monitoring in densely populated rural areas or important pollution emission areas based on rural environmental data, and send the locations of the environmental monitoring points to the pollution point training data collection module.

[0012] Preferably, the pollution point training data collection module is used to summarize and extract features from the data of environmental monitoring points, obtain corresponding environmental data to be analyzed based on environmental category data, and input the environmental data to be analyzed into a pre-trained data analysis model.

[0013] Preferably, the environmental data analysis module uses a data analysis model to perform data analysis on the rural environmental data to obtain environmental analysis data, and visualizes the environmental analysis data to form an environmental monitoring map of the village.

[0014] Preferably, the environmental change prediction module obtains environmental change prediction information based on the formed environmental monitoring map, and formulates an environmental maintenance plan and performs environmental maintenance measures based on the obtained environmental change prediction information.

[0015] Compared with the prior art, the present invention has the following beneficial effects:

[0016] 1. When performing environmental data analysis, the present invention utilizes a data analysis model to effectively reduce the impact of human factors on rural environmental data analysis, thereby facilitating the improvement of the accuracy of rural environmental analysis results.

[0017] 2. The present invention monitors and predicts environmental changes and obtains environmental change prediction information based on environmental monitoring maps, so as to timely discover deficiencies and abnormal situations, reduce manual labor intensity, and facilitate staff to perform rural environmental maintenance based on environmental change prediction information, thereby improving the efficiency of monitoring and maintenance of the rural environment.

[0018] 3. When classifying the rural environment, the present invention inputs the acquired rural environment image into a preset image analysis model, which helps to quickly obtain the environmental characteristic information of the rural environment, cluster all the environmental characteristic information, and thus form environmental category data, which helps to analyze the different attribute data of the rural environment and is beneficial to improving the monitoring and analysis efficiency of the rural environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a block diagram of the multi-terminal smart rural environment monitoring system of the present invention. DETAILED DESCRIPTION

[0020] The following embodiments of the present invention are described in further detail in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0021] As attached Figure 1 As shown:

[0022] Embodiment 1: The present invention provides a multi-terminal smart rural environment monitoring system, including a rural environment data construction module, a rural environment data classification module, an environmental monitoring point setting module, a pollution point training data collection module, an environmental data analysis module, and an environmental change prediction module; wherein each module is electrically connected.

[0023] The rural environment data construction module is used to collect rural environment data in advance, and after determining the rural environment area to be monitored, obtain the rural environment image in the area in real time to build a rural environment data model.

[0024] Rural environmental data include remote sensing ecological index data, meteorological data, humanities data, soil data, plant greening data, agricultural planting data, spatial business data, population distribution data, rural ecological sensitivity assessment data, and rural construction and development intensity data.

[0025] The rural environment data classification module is used to input the rural environment images obtained in the rural environment data construction module into the preset image analysis model, and use the image analysis model to cluster the obtained rural environment images, cluster them according to similarity, and classify different objects in the rural environment images into different categories, such as vegetation, water bodies, public activity places, private residences, etc., to obtain environmental category data. Inputting the obtained rural environment images into the preset image analysis model helps to quickly obtain the environmental feature information of the rural environment, cluster all environmental feature information, and thus form environmental category data, which helps to analyze different attribute data of the rural environment and is conducive to improving the efficiency of monitoring and analysis of the rural environment.

[0026] The environmental monitoring point setting module is used to select environmental monitoring points for environmental monitoring in densely populated rural areas or important pollution emission areas based on rural environmental data, and send the locations of environmental monitoring points to the pollution point training data collection module.

[0027] The pollution point training data collection module summarizes and extracts features from the data obtained from the environmental monitoring points, generates several groups of environmental data to be analyzed in combination with the environmental category data, inputs the environmental data to be analyzed into a pre-trained data analysis model, extracts outlier data points from the environmental data to be analyzed, and integrates the outlier data points to form environmental analysis data.

[0028] The environmental data analysis module uses the data analysis model to analyze the rural environmental data, obtains the environmental analysis data, and visualizes the environmental analysis data to form the environmental monitoring map of the village, so as to monitor the environmental changes of the village. The use of data analysis models can effectively reduce the impact of human factors on the rural environmental data analysis, which is conducive to improving the accuracy of the rural environmental analysis results.

[0029] The environmental change prediction module obtains environmental change prediction information based on the formed environmental monitoring map, which is convenient for the staff to maintain the rural environment based on the environmental change prediction information. At the same time, the environmental maintenance plan is formulated and environmental maintenance measures are taken based on the obtained environmental change prediction information. Obtaining environmental change prediction information based on the environmental monitoring map can timely discover deficiencies and abnormal situations, reduce the labor intensity of manual labor, facilitate staff to maintain the rural environment based on environmental change prediction information, and improve the efficiency of monitoring and maintenance of the rural environment.

[0030] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those that are not relevant to implementing the invention) may not be described.

[0031] It should be understood that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but for those of ordinary skill having the benefit of this disclosure, without undue experimentation, the development effort will be a routine task of design, fabrication, and production.

[0032] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A multi-terminal smart rural environment monitoring system, characterized by: It includes a rural environmental data construction module, a rural environmental data classification module, an environmental monitoring point setting module, a pollution point training data collection module, an environmental data analysis module, and an environmental change prediction module; wherein each module is electrically connected.

2. A multi-terminal smart rural environment monitoring system as claimed in claim 1, characterized in that: The rural environment data construction module is used to collect rural environment data in advance, and after determining the rural environment area to be monitored, obtain the rural environment image in the area in real time to construct a rural environment data model.

3. A multi-terminal smart rural environment monitoring system as claimed in claim 2, characterized in that: The rural environmental data include remote sensing ecological index data, meteorological data, humanities data, soil data, plant greening data, agricultural planting data, spatial business data, population distribution data, rural ecological sensitivity assessment data, and rural construction and development intensity data.

4. A multi-terminal smart rural environment monitoring system as claimed in claim 1, characterized in that: The rural environment data classification module is used to input the rural environment image obtained in the rural environment data construction module into a preset image analysis model, use the image analysis model to cluster the obtained rural environment image, cluster it according to similarity, and classify different landforms in the rural environment image into different categories.

5. A multi-terminal smart rural environment monitoring system as claimed in claim 1, characterized in that: The environmental monitoring point setting module is used to select environmental monitoring points for environmental monitoring in densely populated areas or important pollution emission areas in rural areas based on rural environmental data, and send the locations of environmental monitoring points to the pollution point training data collection module.

6. A multi-terminal smart rural environment monitoring system as claimed in claim 5, characterized in that: The pollution point training data collection module is used to summarize and extract features from the data of environmental monitoring points, obtain corresponding environmental data to be analyzed based on environmental category data, and input the environmental data to be analyzed into a pre-trained data analysis model.

7. A multi-terminal smart rural environment monitoring system as claimed in claim 1, characterized in that: The environmental data analysis module uses a data analysis model to perform data analysis on the rural environmental data to obtain environmental analysis data, and visualizes the environmental analysis data to form an environmental monitoring map of the village.

8. A multi-terminal smart rural environment monitoring system as claimed in claim 1, characterized in that: The environmental change prediction module obtains environmental change prediction information based on the formed environmental monitoring map, and formulates an environmental maintenance plan and takes environmental maintenance measures based on the obtained environmental change prediction information.

Images