Remote real-time monitoring method and device for water environment, terminal and storage medium

Abstract

The invention discloses a remote real-time monitoring method and device for a water body environment, a terminal and a storage medium, and the method comprises the steps: collecting macroscopic water body data of a to-be-monitored water area, and obtaining fixed-point real-time data from fixed-point monitoring stations distributed in the to-be-monitored water area; integrating the preprocessed macroscopic water body data and fixed-point real-time data to obtain a water body data set, collecting geographic information of a water area to be measured, and establishing a macroscopic mapping model of the water area to be measured according to the water body data set and the geographic information; and continuously monitoring the to-be-monitored water area according to the macroscopic mapping model, outputting water condition data of the to-be-monitored water area, and outputting the water condition data to a monitoring center. According to the method, by establishing the macroscopic mapping model, comprehensive, efficient and real-time monitoring of the water environment of the river basin is achieved, and the monitoring efficiency and accuracy are improved.

Description

Technical Field

[0001] The present application relates to the field of water area monitoring, and in particular to a method, device, terminal and storage medium for remote real-time monitoring of a water environment. Background Art

[0002] Traditional monitoring of water environments in river basins, lakes, etc. mainly relies on fixed monitoring stations, sampling surveys, on-site observations and measurements. These methods can accurately reflect local microscopic water characteristics and provide important data support for water environment management.

[0003] At present, in order to obtain the macroscopic conditions of the water environment in rivers and other river basins, it is usually necessary to deploy a large number of fixed monitoring stations and conduct frequent sampling surveys. Although these methods can provide certain data support, their implementation consumes a lot of manpower, material and financial resources.

[0004] The above methods rely on fixed monitoring stations and sampling surveys, and have problems such as high cost, low efficiency, and limited coverage. With the enhancement of environmental protection awareness and the increase in the demand for water resources management, it is difficult to meet the needs of efficient, comprehensive, and real-time monitoring of vast water areas such as river basins and lakes and the needs of modern water resources management; and the above methods cannot realize remote real-time monitoring of the river water ecological environment, which to a certain extent limits the timeliness and effectiveness of water environment management.

[0005] Therefore, it is particularly important to propose a technical solution that can monitor the water environment conditions of river basins in real time and comprehensively. Summary of the invention

[0006] In order to solve the above problems, the present application provides a method, device, terminal and storage medium for remote real-time monitoring of water environment, which can automatically and comprehensively monitor the water area and improve the monitoring efficiency and accuracy.

[0007] In the first aspect, the present application provides a method for remote real-time monitoring of water environment, which adopts the following technical solution: A method for remote real-time monitoring of water environment comprises the following steps: Collecting macro water body data of the water area to be measured, and obtaining fixed-point real-time data from fixed-point monitoring stations distributed in the water area to be measured; Integrate the preprocessed macro water body data and the fixed-point real-time data to obtain a water body data set, collect geographic information of the water area to be measured, and establish a macro mapping model of the water area to be measured based on the water body data set and the geographic information; The water area to be measured is continuously monitored according to the macro mapping model, and the water condition data of the water area to be measured is output, and the water condition data is output to a monitoring center.

[0008] By adopting the above-mentioned technical means, data from different sources are integrated into a unified and coherent data set, fully utilizing the advantages of various data sources, making up for the shortcomings of a single data source in coverage, accuracy or temporal resolution, improving the comprehensiveness and accuracy of basic information sources for water area monitoring, and further improving the accuracy of monitoring results; at the same time, by establishing a macro mapping model, comprehensive, efficient and real-time monitoring of the water environment is achieved, improving monitoring efficiency and accuracy.

[0009] Preferably, the collecting of macro water body data of the water area to be measured, and obtaining fixed-point real-time data from fixed-point monitoring stations distributed in the water area to be measured, specifically includes the following steps: Collect macro water body data of the water area to be measured by satellite remote sensing technology, wherein the macro water body data at least includes water quality parameters and water body range; The fixed-point real-time data is acquired from each fixed-point monitoring station distributed in the water area to be measured, and the fixed-point real-time data includes a monitoring position corresponding to each of the fixed-point monitoring stations.

[0010] By adopting the above-mentioned technical means, macro water body data and fixed-point real-time data are obtained, providing a data basis for understanding the current status and change trends of the water area to be tested and establishing a macro mapping model.

[0011] Preferably, the step of integrating the pre-processed macro water body data and the fixed-point real-time data to obtain a water body data set specifically includes the following steps: Preprocessing the macro water body data and the fixed-point real-time data, wherein the preprocessing includes cleaning, format conversion and standardization; Performing data matching on the pre-processed macro water body data and the fixed-point real-time data to obtain a matching result, wherein the data matching includes matching the water body range with the monitoring position of each of the fixed-point monitoring stations, so that the water quality parameters are associated with the corresponding water body area; The fixed-point real-time data is fused using a preset data fusion algorithm to obtain a fusion result, and the matching result and the fusion result are integrated to obtain a water body data set.

[0012] By adopting the above-mentioned technical means, the collected raw data is cleaned; format conversion and standardization are performed to ensure the consistency and comparability of the data, laying the foundation for subsequent analysis; data matching and data fusion technology are used to integrate satellite remote sensing data with fixed-point monitoring station data, so that data from different sources are integrated into a unified and coherent data set, thereby forming a more comprehensive and accurate water body data set, making full use of the advantages of various data sources and making up for the shortcomings of a single data source in coverage and accuracy.

[0013] Preferably, the collecting of the geographic information of the water area to be measured and establishing a macroscopic mapping model of the water area to be measured based on the water body dataset and the geographic information specifically comprises the following steps: Using GIS technology to collect the geographic information of the water area to be measured, and establishing a spatial database of the water area to be measured based on the geographic information; The water body data set is cleaned and format converted to obtain a standard water body data set, the standard water body data in the standard water body data set is imported into the spatial database, and the standard water body data is associated with the spatial database to form a water area spatial data set.

[0014] By adopting the above-mentioned technical means, establishing a spatial database is conducive to realizing spatial visualization of data and supporting subsequent spatial analysis and decision support. By combining the collected water body data with spatial information, we can have a more comprehensive understanding of the spatial distribution characteristics of the water area to be tested, the spatial distribution of pollution sources and their impact on the environment, thereby providing a more scientific and accurate basis for environmental decision-making, monitoring and evaluation.

[0015] Preferably, after forming the water area spatial dataset, the following steps are also included: Introducing timestamps into the water area spatial data set for time series analysis, extracting water body parameters from the water area spatial data set, arranging the water body parameters in the order of collection time to form a time series data set, and generating a macro mapping model and a time series graph of the water area to be measured based on the time series data set; The changing trend of the water body parameters is obtained according to the time series diagram. According to the changing trend and in combination with a preset time series analysis model, the water quality of the water area to be tested for a preset period of time in the future is analyzed and predicted, and the analysis and prediction results are output.

[0016] By using the above technical means and the time series analysis method, we can obtain the laws and trends of water environment data over time, and estimate the future water quality conditions based on these laws. This step helps to provide early warning of water environment conditions and formulate preventive measures.

[0017] Preferably, continuously monitoring the water area to be measured and outputting the water condition data of the water area to be measured according to the macro mapping model specifically includes the following steps: Extracting macro characteristics of the water area to be tested from the analysis and prediction results according to the macro mapping model, wherein the macro characteristics include the overall trend of water quality and pollution hot spots; Extracting the macro characteristics includes performing dimension reduction and feature extraction on the analysis and prediction results using a cluster analysis method, and performing classification operations on the analysis and prediction results to identify the macro characteristics of the water area to be measured; The water condition data of the water area to be measured is obtained based on the macroscopic characteristics and the water body data set.

[0018] By adopting the above-mentioned technical means, macroscopic features that meet the conditions are extracted from the data set, providing a basis for the prediction of the overall water quality trend and pollution hotspots in the tested waters, thereby ensuring the effectiveness of the monitoring results.

[0019] Preferably, the step of outputting the water condition data to a monitoring center specifically includes the following steps: Transmitting the water condition data generated by the macro mapping model to a monitoring center in real time, and displaying the water condition data received by the monitoring center using a visualization tool; When the water condition data exceeds a preset normal threshold, the water condition data exceeding the normal threshold is marked as abnormal data, and an early warning mechanism is triggered according to the abnormal data.

[0020] By adopting the above-mentioned technical means, water condition data is transmitted to the monitoring center in real time, ensuring the timeliness and accuracy of data monitoring, setting up early warning and emergency response mechanisms, improving the timeliness of abnormal data monitoring, and at the same time improving the timeliness and scientific nature of management decisions.

[0021] In the second aspect, the present application provides a remote real-time monitoring device for water environment, which adopts the following technical solution: A remote real-time monitoring method for water environment, comprising the following modules: A data acquisition module is used to collect macro water body data of the water area to be measured, and obtain fixed-point real-time data from fixed-point monitoring stations distributed in the water area to be measured; A macro mapping model creation module, used to integrate the pre-processed macro water body data and the fixed-point real-time data to obtain a water body data set, collect the geographic information of the water area to be measured, and establish a macro mapping model of the water area to be measured based on the water body data set and the geographic information; The monitoring result output module is used to continuously monitor the water area to be measured according to the macro mapping model and output the water condition data of the water area to be measured, and output the water condition data to the monitoring center.

[0022] By adopting the above-mentioned technical means, a remote real-time monitoring system for water environment has been built, which provides the necessary software technical support for accurate and efficient monitoring of water areas and provides an accurate and efficient water area monitoring mechanism.

[0023] In a third aspect, the present application provides a smart terminal, which adopts the following technical solution: A smart terminal includes a memory and a processor, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement the remote real-time monitoring method of water environment as described above.

[0024] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium, wherein at least one instruction, at least one program, code set or instruction set is stored in the computer-readable storage medium, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by a processor to implement the remote real-time monitoring method of a water environment as described above.

[0025] In summary, this application has at least the following beneficial effects: 1. This application integrates data from different data sources into a unified and coherent data set, fully utilizing the advantages of various data sources, making up for the shortcomings of a single data source in terms of coverage, accuracy or temporal resolution, improving the comprehensiveness and accuracy of basic information sources for water area monitoring, and further improving the accuracy of monitoring results.

[0026] 2. This application realizes comprehensive, efficient and real-time monitoring of the water environment in river basins by establishing a macro-mapping model. It can also predict the trend of water quality development based on real-time data, thereby improving the comprehensiveness and accuracy of monitoring. At the same time, an early warning mechanism is set up to improve the timeliness and scientificity of management decisions, providing a scientific basis for water resource protection and water pollution prevention and control, and supporting the precise implementation of water pollution prevention and control policies. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a flow chart of the method for remote real-time monitoring of water environment of this embodiment; Figure 2 4 is a structural diagram of the remote real-time monitoring device for water environment of this embodiment. DETAILED DESCRIPTION

[0028] The present application provides a method, device, terminal and storage medium for remote real-time monitoring of a water environment. In order to make the purpose, technical solution and advantages of the present application clearer, the implementation method of the present application will be further described in detail below.

[0029] The following is a further detailed description of an embodiment of a method for remote real-time monitoring of a water environment of the present application in conjunction with the accompanying drawings.

[0030] A method for remote real-time monitoring of a water environment in the present application comprises the following steps: S1. Collecting macro water body data of the water area to be tested, and obtaining fixed-point real-time data from fixed-point monitoring stations distributed in the water area to be tested, specifically including the following steps: S11. Collect macro water body data of the water area to be tested through satellite remote sensing technology. The macro water body data includes water quality parameters and water body range.

[0031] Water quality parameters are the water reflectance spectral characteristics captured by satellite sensors. Water quality parameters can be used to indirectly calculate the chlorophyll content and turbidity of the water body. The chlorophyll content can reflect the degree of eutrophication of the water body, and the turbidity can reflect the clarity of the water body.

[0032] The water areas to be tested are lakes, reservoirs and other water areas where the specific water body range can be obtained. Satellite remote sensing images can clearly show the water body boundaries of the water areas to be tested, including the distribution and morphology of rivers, lakes, reservoirs and other water bodies.

[0033] In some embodiments, macro water body data also includes hydrological conditions. By combining satellite remote sensing technology and geographic information system (GIS), hydrological information such as water system structure, water flow direction, and water flow rate of the water area can be analyzed.

[0034] S12. Obtaining fixed-point real-time data from each fixed-point monitoring station distributed in the water area to be measured, wherein the fixed-point real-time data includes a monitoring position corresponding to each fixed-point monitoring station.

[0035] In this embodiment, the fixed-point monitoring station is used to provide real-time and accurate data of the water area to be measured. The fixed-point real-time data also includes water temperature, dissolved oxygen, chemical oxygen demand, etc.

[0036] S2. Integrate the pre-processed macro water data and fixed-point real-time data to obtain a water data set, collect the geographic information of the water area to be measured, and establish a macro mapping model of the water area to be measured based on the water data set and the geographic information, which specifically includes the following steps: S21. Preprocess the macro water body data and fixed-point real-time data. The preprocessing includes cleaning, removing noise and outliers, format conversion and standardization.

[0037] For example, in the monitoring station data, abnormally high or low dissolved oxygen values ​​may be found due to equipment failure or human error. These values ​​need to be identified and eliminated in the data cleaning stage. Standardization processing can ensure the consistency and comparability of macro water body data and fixed-point real-time data, laying the foundation for subsequent analysis. In this embodiment, the CSV format data provided by different monitoring stations is converted into a unified JSON format for subsequent processing.

[0038] S22. Match the preprocessed macro water body data with the fixed-point real-time data to obtain a matching result. In this embodiment, the data matching is to match and associate data from different data sources based on key information such as timestamps and geographic locations.

[0039] For example, in this embodiment, the water body range and water quality parameters belong to the same data source and are interrelated. The monitoring location of each fixed-point monitoring station belongs to a different data source from the two. Matching the water body range with the monitoring location of each fixed-point monitoring station can associate the water quality parameters with the corresponding water body area, and the corresponding water body area is the water body area covered by the monitoring location.

[0040] S23. Use a preset data fusion algorithm to fuse the fixed-point real-time data to obtain a fusion result, and integrate the matching result and the fusion result to obtain a water body data set.

[0041] For example, taking water temperature as an example to illustrate data fusion, in this embodiment, the data fusion algorithm is a weighted average method, which uses the weighted average method to fuse the water temperature data of multiple fixed-point monitoring stations to obtain the average water temperature of the entire water area to be measured. In this way, all data are calculated to obtain a fusion result, which is unified with the matching result into the water body data set.

[0042] By integrating data from multiple data sources, the shortcomings of a single data source in monitoring accuracy can be compensated and the overall monitoring accuracy of the water system can be improved.

[0043] S24. Use GIS technology to collect geographic information of the water area to be measured, including collecting the topography, water system and administrative divisions within the basin, converting the geographic information into vector data, importing the vector data into GIS software, and establishing a spatial database of the water area to be measured, providing a spatial basis for the construction of a macro mapping model.

[0044] Spatial databases were established to provide a geospatial framework for storing, managing and analyzing geographic information and water environment data of water bodies.

[0045] S25. Perform data cleaning and format conversion on the water body data set to obtain a standard water body data set, import the standard water body data in the standard water body data set into the spatial database, and use the spatial query and analysis functions of the spatial database to associate the standard water body data with the spatial database to form a water area spatial data set with spatial attributes.

[0046] In this embodiment, the standard water body data is all the standard data related to the water environment collected in the current water area to be tested. Combining the standard water body data set with the spatial database means integrating all the collected data related to the water environment information into the spatial database so as to be managed and analyzed using the spatial database.

[0047] S3. Establishing a macroscopic mapping model of the water area to be measured based on the water area spatial data set, specifically including the following steps: S31. Use mathematical statistics methods to clean, convert and standardize the data in the water space dataset.

[0048] S32, introducing the timestamp into the processed water area spatial data set to perform time series analysis, and extracting water body parameters from the water area spatial data set.

[0049] In this embodiment, the water body parameters are processed, collected macro water body data and fixed-point real-time data after data fusion.

[0050] S33, arranging the water body parameters into a digital sequence according to the time sequence of collection to form a time series data set, and generating a macro mapping model and a time series graph of the water area to be measured based on the time series data set.

[0051] S34. According to the time series graph, the changing trend of the water body parameters is obtained. According to the changing trend and in combination with the preset time series analysis model, the water quality of the water area to be tested for a preset period of time in the future is predicted, and the analysis and prediction results are output.

[0052] In this embodiment, the time series analysis model may adopt an ARIMA model (autoregressive integrated moving average model), which is suitable for time series data with linear trends and seasonal changes.

[0053] The ARIMA model is used to predict the water quality of the tested basin in the future. The prediction time range can be determined according to actual needs. For example, the water quality in the next 8 weeks can be predicted and the results can be output.

[0054] S4, continuously monitoring the water area to be tested and outputting the water condition data of the water area to be tested according to the macro mapping model, and outputting the water condition data to the monitoring center, specifically including the following steps: S41. Extracting macroscopic features of the water area to be measured from the analysis and prediction results according to the macroscopic mapping model. The extracted macroscopic features include: S411. Use cluster analysis methods to reduce the dimension and extract features of the analysis and prediction results, cluster similar water body parameters into groups, and thus identify pollution hotspots or areas with similar water quality to reduce the complexity and redundancy of the data.

[0055] S412: Classify the analysis and prediction results to identify the macro characteristics of the water area to be tested. The macro characteristics include the overall trend of water quality and pollution hot spots.

[0056] In this embodiment, based on the analysis and prediction results, the trend line fitting method is used to analyze the changing trends of water parameters and obtain the overall trend of water quality. At the same time, the abnormal values ​​in the analysis and prediction results are detected and identified as potential water quality problems or pollution sources, thereby obtaining pollution hotspots.

[0057] Combined with GIS technology, the data are overlaid and analyzed to obtain the spatial distribution patterns and relationships of water body parameters.

[0058] Through the above steps, representative features that can reflect the overall status of the water environment are extracted from a large amount of complex data, namely, the overall trend of water quality and pollution hot spots in this embodiment.

[0059] S42. Obtain water condition data of the water area to be tested based on the macroscopic characteristics and water body data set.

[0060] Water condition data include real-time water parameters, spatial distribution data, and predictions from macro-mapping models (i.e. overall water quality trends and pollution hotspots).

[0061] The above water parameters specifically include water temperature, pH value, dissolved oxygen, chemical oxygen demand (COD), and other data reflecting the real-time status of the water area to be tested.

[0062] Spatial distribution data include spatial distribution maps of water parameters generated through geographic information system (GIS) technology, which intuitively display the water environment conditions in different areas within the water area to be tested.

[0063] S43. Through the Internet of Things technology, the water condition data generated by the macro mapping model is transmitted to the monitoring center in real time to ensure the timeliness and accuracy of the data.

[0064] S44. At the monitoring center, visualization tools are used to display the received water condition data. The display methods include map overlay display and data charts. The spatial distribution map and prediction results need to be displayed in the form of map overlay display, and various parameters are displayed in the form of data charts. The above methods can intuitively reflect the macroscopic conditions of the water environment of the water area to be tested.

[0065] S45. Set up an intelligent early warning system. When the water condition data exceeds the preset normal threshold, the water condition data exceeding the normal threshold will be marked as abnormal data, and the abnormal data will be identified and alarmed in real time, automatically triggering the emergency response mechanism to ensure that the problem is handled in a timely manner.

[0066] Based on the same inventive concept as above, the present application also discloses a remote real-time monitoring device for water environment, the structure of which is as follows: Figure 2 As shown, the device includes the following modules: The data acquisition module is used to collect the macro water body data of the water area to be tested and obtain fixed-point real-time data from fixed-point monitoring stations distributed in the water area to be tested; A macro mapping model creation module is used to integrate the pre-processed macro water body data and the fixed-point real-time data to obtain a water body data set, collect the geographic information of the water area to be measured, and establish a macro mapping model of the water area to be measured based on the water body data set and the geographic information; The monitoring result output module is used to continuously monitor the water area to be tested based on the macro mapping model and output the water condition data of the water area to be tested, and output the water condition data to the monitoring center.

[0067] In a specific implementation scheme, the data acquisition module includes the following units: A first data acquisition unit is used to collect macro water body data of the water area to be measured by satellite remote sensing technology, where the macro water body data at least includes water quality parameters and water body range; The second data acquisition unit is used to acquire fixed-point real-time data from each fixed-point monitoring station distributed in the water area to be measured, and the fixed-point real-time data includes a monitoring position corresponding to each fixed-point monitoring station.

[0068] In a specific implementation scheme, the macro mapping model creation module includes the following units: A first macro mapping model creation unit is used to pre-process the macro water body data and fixed-point real-time data, wherein the pre-processing includes cleaning, format conversion and standardization; The second macro mapping model creation unit is used to perform data matching between the pre-processed macro water body data and the fixed-point real-time data to obtain a matching result, wherein the data matching includes matching the water body range with the monitoring position of each fixed-point monitoring station so that the water quality parameters are associated with the corresponding water body area; The third macro mapping model creation unit is used to use a preset data fusion algorithm to fuse the fixed-point real-time data to obtain a fusion result, and integrate the matching result and the fusion result to obtain a water body data set.

[0069] The fourth macro-mapping model creation unit is used to collect geographic information of the water area to be measured by using GIS technology, and to establish a spatial database of the water area to be measured based on the geographic information; The fifth macro-mapping model creation unit is used to clean and convert the water body data set to obtain a standard water body data set, import the standard water body data in the standard water body data set into the spatial database, and associate the standard water body data with the spatial database to form a water area spatial data set.

[0070] In a specific implementation scheme, the monitoring result output module includes the following units: The first monitoring result output unit is used to extract the macro characteristics of the water area to be tested from the analysis and prediction results according to the macro mapping model. The macro characteristics include the overall trend of water quality and pollution hot spots. The extraction of macro characteristics includes using a cluster analysis method to reduce the dimension and extract features of the analysis and prediction results, and classifying the analysis and prediction results to identify the macro characteristics of the water area to be tested; The second monitoring result output unit is used to obtain the water condition data of the water area to be measured based on the macro characteristics and the water body data set.

[0071] The third monitoring result output unit is used to transmit the water condition data generated by the macro mapping model to the monitoring center in real time, and use a visualization tool to display the water condition data received by the monitoring center; The fourth monitoring result output unit is used to mark the water condition data exceeding the normal threshold as abnormal data when the water condition data exceeds a preset normal threshold, and trigger an early warning mechanism based on the abnormal data.

[0072] In a specific implementation scheme, a remote real-time monitoring device for a water environment further includes the following modules: The time series analysis module is used to introduce the timestamp into the water area spatial data set for time series analysis, extract water body parameters from the water area spatial data set, arrange the water body parameters in the order of collection time to form a time series data set, and generate a macro mapping model and a time series graph of the water area to be measured based on the time series data set; The changing trend of water body parameters is obtained according to the time series graph. Based on the changing trend and combined with the preset time series analysis model, the water quality of the water area to be tested for a preset period of time in the future is analyzed and predicted, and the analysis and prediction results are output.

[0073] From the above function introduction, it can be seen that a remote real-time monitoring device for water environment in this application has built a comprehensive water environment monitoring system. By constructing a macro mapping model, it can realize efficient and comprehensive monitoring of the water environment of river basins, provide strong support for water resource protection and water pollution prevention and control, and promote the sustained, rapid and healthy development of the economy and society.

[0074] Based on the same inventive concept mentioned above, an embodiment of the present application also discloses a computer-readable storage medium, which stores at least one instruction, at least one program, code set or instruction set, and at least one instruction, at least one program, code set or instruction set can be loaded and executed by a processor to implement the remote real-time monitoring method of the water environment provided in the above method embodiment.

[0075] Also based on the same inventive concept mentioned above, an embodiment of the present application also discloses a computer-readable storage medium, in which at least one instruction, at least one program, code set or instruction set is stored, and at least one instruction, at least one program, code set or instruction set is loaded and executed by a processor to implement the remote real-time monitoring method of water environment as mentioned above.

[0076] A person skilled in the art can understand that all or part of the steps of implementing the above embodiments can be completed by hardware, or can be completed by a program to instruct the relevant hardware, and the program can be stored in a computer-readable storage medium, and the computer-readable storage medium includes, for example: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0077] The above are only optional embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A method for remote real-time monitoring of water environment, characterized in that: The steps include: Collecting macro water body data of the water area to be measured, and obtaining fixed-point real-time data from fixed-point monitoring stations distributed in the water area to be measured; Integrate the preprocessed macro water body data and the fixed-point real-time data to obtain a water body data set, collect geographic information of the water area to be measured, and establish a macro mapping model of the water area to be measured based on the water body data set and the geographic information; The water area to be measured is continuously monitored according to the macro mapping model, and the water condition data of the water area to be measured is output, and the water condition data is output to a monitoring center.

2. The method for remote real-time monitoring of water environment according to claim 1, characterized in that: The step of collecting macro water body data of the water area to be measured and obtaining fixed-point real-time data from fixed-point monitoring stations distributed in the water area to be measured specifically includes the following steps: Collect macro water body data of the water area to be measured by satellite remote sensing technology, wherein the macro water body data at least includes water quality parameters and water body range; The fixed-point real-time data is acquired from each fixed-point monitoring station distributed in the water area to be measured, and the fixed-point real-time data includes a monitoring position corresponding to each of the fixed-point monitoring stations.

3. The method for remote real-time monitoring of water environment according to claim 2, characterized in that: The step of integrating the pre-processed macro water body data and the fixed-point real-time data to obtain a water body data set specifically includes the following steps: Preprocessing the macro water body data and the fixed-point real-time data, wherein the preprocessing includes cleaning, format conversion and standardization; Performing data matching on the pre-processed macro water body data and the fixed-point real-time data to obtain a matching result, wherein the data matching includes matching the water body range with the monitoring position of each of the fixed-point monitoring stations, so that the water quality parameters are associated with the corresponding water body area; The fixed-point real-time data is fused using a preset data fusion algorithm to obtain a fusion result, and the matching result and the fusion result are integrated to obtain a water body data set.

4. The method for remote real-time monitoring of water environment according to claim 3, characterized in that: The step of collecting the geographic information of the water area to be measured and establishing a macroscopic mapping model of the water area to be measured based on the water body dataset and the geographic information specifically includes the following steps: Using GIS technology to collect the geographic information of the water area to be measured, and establishing a spatial database of the water area to be measured based on the geographic information; The water body data set is cleaned and format converted to obtain a standard water body data set, the standard water body data in the standard water body data set is imported into the spatial database, and the standard water body data is associated with the spatial database to form a water area spatial data set.

5. The method for remote real-time monitoring of water environment according to claim 4, characterized in that: After the water area spatial dataset is formed, the following steps are also included: Introducing timestamps into the water area spatial data set for time series analysis, extracting water body parameters from the water area spatial data set, arranging the water body parameters in the order of collection time to form a time series data set, and generating a macro mapping model and a time series graph of the water area to be measured based on the time series data set; The changing trend of the water body parameters is obtained according to the time series diagram. According to the changing trend and in combination with a preset time series analysis model, the water quality of the water area to be tested for a preset period of time in the future is analyzed and predicted, and the analysis and prediction results are output.

6. The method for remote real-time monitoring of water environment according to claim 5, characterized in that: Continuously monitoring the water area to be tested and outputting water condition data of the water area to be tested according to the macro mapping model specifically includes the following steps: Extracting macro characteristics of the water area to be tested from the analysis and prediction results according to the macro mapping model, wherein the macro characteristics include the overall trend of water quality and pollution hot spots; Extracting the macro characteristics includes performing dimension reduction and feature extraction on the analysis and prediction results using a cluster analysis method, and performing classification operations on the analysis and prediction results to identify the macro characteristics of the water area to be measured; The water condition data of the water area to be measured is obtained based on the macroscopic characteristics and the water body data set.

7. The method for remote real-time monitoring of water environment according to claim 1, characterized in that: The step of outputting the water condition data to a monitoring center specifically includes the following steps: Transmitting the water condition data generated by the macro mapping model to a monitoring center in real time, and displaying the water condition data received by the monitoring center using a visualization tool; When the water condition data exceeds a preset normal threshold, the water condition data exceeding the normal threshold is marked as abnormal data, and an early warning mechanism is triggered according to the abnormal data.

8. A method for remote real-time monitoring of water environment, characterized in that: Includes the following modules: A data acquisition module is used to collect macro water body data of the water area to be measured, and obtain fixed-point real-time data from fixed-point monitoring stations distributed in the water area to be measured; A macro mapping model creation module, used to integrate the pre-processed macro water body data and the fixed-point real-time data to obtain a water body data set, collect the geographic information of the water area to be measured, and establish a macro mapping model of the water area to be measured based on the water body data set and the geographic information; The monitoring result output module is used to continuously monitor the water area to be measured according to the macro mapping model and output the water condition data of the water area to be measured, and output the water condition data to the monitoring center.

9. An intelligent terminal, characterized in that: It includes a memory and a processor, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement the remote real-time monitoring method of the water environment as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The readable storage medium stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement the remote real-time monitoring method of the water environment as described in any one of claims 1 to 7.

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