CN112165513A - Cloud edge collaborative platform architecture for watershed water environment ecological intelligent management - Google Patents
Cloud edge collaborative platform architecture for watershed water environment ecological intelligent management Download PDFInfo
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Abstract
The invention discloses a cloud edge collaborative platform architecture for watershed water environment ecological intelligent management, which comprises a cloud end, an edge end, a terminal, a data center, a model center, a control center and a customer service center, wherein the data center, the model center, the control center and the customer service center have relatively independent functions. The cloud end is connected with the data center, the model center and the control center and is responsible for top-level simulation calculation; the edge terminal is connected with the data center, the model center and the customer service center, acquires data uploaded by the terminal, and performs data extraction, cleaning, fusion and transmission to form a large edge terminal ecological environment database; in addition, the cloud-generated data is received, and a local simple model is arranged, so that the differentiated service of the intelligent management of the drainage basin is met. And the cloud end and the edge end are used as middleware by virtue of a message center, so that cloud-edge cooperative computing is realized. The terminal is connected with the data center and the customer service center, various sensors and users of different departments are distributed, multi-source heterogeneous data acquisition and edge service release are carried out by combining the internet of things technology, and three-dimensional sensing, comprehensive acquisition and directional output of information are carried out.
Description
Technical Field
The invention belongs to the technical field of ecological environment management and environmental water conservancy informatization, and particularly relates to a cloud-edge cooperative platform architecture for ecological intelligent management of watershed water environment.
Background
The intelligent development of basin management is promoted by means of Internet of things, big data, cloud computing, artificial intelligence and the like, and the method is a necessary way for maintaining virtuous cycle of an ecological system and improving the supervision level of the ecological environment under the high-quality development concept of a new era. The primary and secondary wading problems of basin water circulation and associated water environment water ecological process deep variation caused by strong human activity interference of urbanization, industrialization and the like, basin water quality deterioration, water body black and odor, water bloom, sudden pollution accidents, drinking water safety hidden dangers and the like are increasingly prominent. The solution of the problems is bound to the fusion and integration of mass data of multiple departments such as large-scale basin meteorology, water conservancy, resources, ecology, environment, state and soil, economy and the like, and the accurate and efficient simulation and service of water environment quality prediction, water ecological risk early warning, sudden pollution event prevention and control and the like.
Cloud computing and edge computing are novel computing resource utilization modes, and the cloud computing supplies and manages scalable, elastic and shared physical and virtual resource pools in an on-demand self-service mode and provides network access; the edge computing stores main processing and data in distributed edge nodes of the network, edge intelligent service is provided nearby, the characteristics of low delay, zero plan and low energy consumption meet the self-adaptive requirements of customers, and quick response and agile deployment are realized. With the continuous promotion of the environment water conservancy informatization process, the related research of the basin comprehensive management cloud platform is gradually developed and goes through the stages of concept fusion, technical development and cloud-edge cooperative deployment, but the existing basin system intelligent management still has the bottleneck problems of various target requirements, inconsistent service standards, low management efficiency and the like, is far from insufficient on a data system, computing power and a service system, is still very deficient in the intelligent platform facing large-scale basin water environment water ecological multi-target regulation and control management in the world, urgently needs to build a water environment water ecological comprehensive regulation and control cloud computing system according to innovative technologies such as large data, cloud computing, edge computing and the like, realizes the full coverage of the fields such as basin water ecological environment quality real-time dynamic monitoring, risk rapid prediction early warning, mountain water, field, lake and grass life common system restoration and the like, and is assisted by high-efficiency service, Accurate intelligent treatment and scientific decision making.
Disclosure of Invention
The invention aims to provide an intelligent system platform architecture integrating massive data fusion management, multidimensional process fine simulation, mechanism model efficient calculation and multivariate service difference customization based on new-generation information technologies such as big data, cloud calculation, edge calculation and the like, and provides reference for the construction of a large-scale drainage basin multilevel intelligent management system in the whole country and the whole world.
In order to achieve the above purpose, the invention provides the following technical scheme: a watershed water environment ecological intelligent management cloud edge collaborative platform architecture comprises: the system comprises a cloud end, an edge end and a terminal, and a data center, a model center, a control center and a customer service center which have relatively independent functions, wherein the four centers are arranged in the cloud end, the edge end and the terminal in a crossed manner, so that the mapping and optimization of request distribution and resource supply from the whole to the local are realized; in addition, the system also comprises a message center used for communicating information between the cloud end and the edge end, wherein the message center is a middleware;
the cloud is provided with an air-ground-water integrated model distributed parallel algorithm, top layer simulation calculation is carried out, and complex problems of long series and large-range global property are solved;
on one hand, the edge terminal acquires data uploaded by the terminal, performs automatic error identification, missing data interpolation, unified standard fusion and real-time data storage to form a large ecological environment database of the edge terminal, and effectively organizes and manages the data according to unified standards and specifications; on the other hand, data generated by the cloud is received, a local simple model is arranged, the message center is used as a middleware, task communication coordination between the cloud and the edge end is carried out, cloud-edge cooperative computing is achieved, and water quality prediction, risk early warning and real-time monitoring and classification management requirements are met;
the terminal is provided with a plurality of sensors and users of different departments at different levels, and combines the internet of things technology to collect multi-source heterogeneous data and issue edge services for weather, water conservancy, ecology, environment, state, agriculture, economy and forestry;
the data center automatically collects, extracts, cleans, converts and transmits data, and integrates basic, business and government data by adopting an object-oriented unified data model according to the application range and the incidence relation of the data center, so that the integrated management of data space, attributes, relations and metadata, unified object coding and unified data dictionary are realized, the classified processing of static base data and dynamic process data and the storage management of model operation data are realized, and data support is provided for the calculation analysis of the model center and the service release of a customer service center;
the model center calls a set of model condition nodes and application nodes as required according to the instruction of the control center to complete the parallel operation of multiple models of basin weather, land area source, hydrodynamic force, water quality and water ecology, and provides result support for decision analysis;
the control center manages the operation flow of the platform, promotes the cooperative cooperation of all centers and the fault processing of the system by allocating system resources and monitoring system operation, and quickly and orderly realizes the automatic and intelligent service processing of the platform;
the customer service center is responsible for issuing and pushing water environment water ecological monitoring, forecasting and early warning service information, and sends an access request to the control center through a user instruction so as to meet the human-computer interaction requirements of different customers on decision-making information form response, visual feedback and business operation;
the data center, the model center and the control center are connected and arranged at the cloud end and respectively meet the requirements of large-volume critical data calculation, core model simulation and macro decision functions;
the data center, the model center and the customer service center are connected and arranged at the edge end, and the requirements of short-duration important data processing, local personalized simple model operation and edge decision function are met respectively;
the data center and the customer service center are connected and arranged at the terminal, a communication system is formed by adopting a flow sensor, a water quality monitor, a space scanner, global positioning system Internet of things equipment and a visual display screen, the link of attribute data and GIS space graphs is realized, the river basin and land confluence state is dynamically and visually displayed, the hydrodynamic water quality continuous change process, the pollution source influence range of emergency events and the pollutant propulsion state are described, and the requirements of multi-source heterogeneous data acquisition management and cloud edge collaborative business application functions are respectively met.
Furthermore, the cloud end comprises a private cloud, a public cloud and a mixed cloud, has equivalent computing power and scale, integrates the characteristics of rapid response, elastic computing and the like of cloud computing, and adopts a data streaming processing method of receiving and processing at the same time so as to reduce unnecessary operation waiting time.
Further, the indexes of the cloud for top layer simulation calculation comprise a large-scale basin meteorological model, a land non-point source model, a hydrodynamic model, a water quality model and a water ecological model.
Furthermore, the cloud end is provided with an air-ground-water integrated model high-performance parallel algorithm, nodes which are sequentially applied by model logic are set based on the strong and weak coupling relation between models, a shared memory parallel and unshared memory parallel mixed processing mode is adopted, a thread parallel mode, a core parallel mode and a multi-node parallel mode are set, and parallelization processing is respectively carried out on the models in the model, namely the internal models are divided into blocks;
wherein, the first-level parallel mode: inside the model, the model indexes such as a hydrodynamic model and a water quality model are indicated;
a two-stage parallel mode: the blocking refers to that the calculation is carried out on the space in a blocking mode, for example, the calculation is carried out on a branch flow and a main flow at the same time;
three-stage parallel mode: the model interval means that the region is calculated from a basin meteorological model, a land surface source model, a hydrodynamic model, a water quality model and an aquatic attitude model at the same time.
Furthermore, the edge end adopts a distributed structure, on the basis of a cloud simulation calculation result, the arrangement of a differentiation model can be carried out as required, local autonomous calculation and intelligent analysis can be carried out on a single machine, a work station and mobile equipment on a local area network, a unified service interface is provided for the outside, and service functions of drainage basin cloud-edge collaborative water quality prediction, cloud-edge collaborative risk early warning, cloud-edge collaborative pollution tracing, cloud-edge collaborative ecological scheduling and the like are realized.
Furthermore, the cloud-side collaborative water quality prediction service function is characterized in that a watershed global water environment water ecological quality prediction system is distributed at the cloud end, an individualized prediction technology is set at the edge end according to a water management target, the water quality conditions of 3 days, 7 days and 15 days in the future are simulated and predicted through automatic operation mode and mode prediction, the water quality information is pushed to the client at regular time every day, and the mutual supplement and collaborative improvement of global-local prediction efficiency and precision are achieved.
Further, the cloud-edge collaborative risk early warning service function carries out alarm condition analysis according to an edge end risk threshold value and an early warning grade division method through real-time dynamic simulation of the ecological process of the cloud water environment water, compares a simulation result with monitoring data, accurately predicts the time, the range and the degree of risk outbreak, and issues static and dynamic digital watershed early warning maps.
Further, the cloud-side collaborative pollution tracing service function identifies water quality abnormal points from a cloud source quality response database by comparing accident monitoring data and cloud prediction results acquired by the edge end, acquires hydrodynamic water quality historical data of the abnormal point positions and 5 days before the upstream range, determines possible emission positions and emission processes of pollution sources at the edge end, and screens, inspects and rapidly and accurately positions the potential pollution sources.
Further, the cloud-side collaborative ecological scheduling service function analyzes the mutual feedback relation between the growth, propagation and migration of fishes and the habitat conditions of the fishes by identifying the hydrodynamic water quality characteristics of the water bloom districts in different storage states, and performs basin quantitative ecological scheduling scheme set simulation at the cloud end to complete time selection, mode determination and visual effect evaluation of the edge end personalized scheme.
Further, the terminal adopts the thing networking device constitution communication system of a plurality of edge nodes, edge node includes meteorological sensor, flow sensor, water quality monitoring appearance, space scanning appearance and global positioning system, with the help of the intelligent cooperation between a plurality of edge nodes, realizes that the data of scene level, real-time level, short cycle level are instant to be drawed to and the washing of multisource big data, categorised and the mutual feedback.
In addition, the message center is used as a middleware to carry out data hierarchical classification scheduling, and a polymerization transmission mode is adopted to transmit the core layer data of the edge end to the cloud end for processing and analysis.
Preferably, newly purchased hardware equipment such as a host, a server and the like and network security cloud support management software are continuously expanded subsequently, hardware resources are virtualized by combining a cloud edge collaboration platform for performing ecological intelligent management on the watershed water environment, a watershed water ecological environment basic resource pool for realizing terminal-edge end-cloud end collaboration is constructed, and all current hardware resources such as a CPU, a memory, a storage, a network and the like are used as a service support information system to operate.
Preferably, the basin water ecological environment basic resource pool provides elastic calculation, infinite storage and database services (relational data, open storage, open structured data), open data processing services and the like, and is integrally divided into three layers of architectures, specifically: the system comprises a physical layer, a resource abstraction and control layer, a cloud service and cloud operation maintenance management layer.
Compared with the prior art, the invention has the following beneficial effects:
the watershed water environment ecological intelligent management cloud-side cooperative platform framework provided by the invention fully utilizes emerging technologies such as modern perception means, big data, Internet of things, cloud computing and edge computing, and the like, and based on a complete set of novel computing system with clear mechanism, controllable precision, reliable efficiency, intelligent service and management standard, realizes all-round technical breakthrough from the aspects of mass data, mechanism models, efficient algorithms, intelligent platforms and the like, and is favorable for making a full-chain path from top-level design, scientific research and basic level management for watershed comprehensive treatment. The method has good expansibility, can meet the management requirements of administrative units of different levels and different drainage basins, and can provide successful demonstration experience for all-round multi-level intelligent management of large-scale drainage basins in China and all over the world. The method integrates mass data fusion, efficient model calculation and multi-service customization, is favorable for realizing the intelligent perception of the watershed water environment water ecology, the unified resource allocation and the functional service release, and supports the watershed intelligent management under the new high-quality development concept.
Drawings
FIG. 1 is a cloud-edge cooperative platform architecture diagram for intelligent management of watershed water environmental water ecology according to the present invention;
FIG. 2 is a cloud-edge task cooperative machine diagram for the intelligent management of watershed water environmental water ecology according to the present invention;
FIG. 3 is a functional diagram of a cloud-edge collaborative platform for ecological intelligent management of watershed water environment according to the present invention;
FIG. 4 is a cloud-edge collaborative water quality prediction service visualization interface according to an embodiment of the present invention;
FIG. 5 is a cloud-edge collaborative risk early warning service visualization interface according to an embodiment of the present invention;
FIG. 6 is a cloud-edge collaborative pollution tracing service visualization interface according to an embodiment of the present invention;
fig. 7 is a visual interface of a cloud-edge collaborative ecological scheduling service according to an embodiment of the present invention.
Detailed Description
The technical scheme of the invention is further specifically described by the following embodiments and the accompanying drawings.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and are only used for explaining the present invention, and are not used to limit the present invention.
Referring to fig. 1 and fig. 2, the present invention provides a cloud-edge collaborative platform architecture (3L 4C for short) for intelligently managing the ecological water of a watershed water environment, which includes Three layers of a cloud end, an edge end, and a terminal (3L), and a data center, a model center, a control center, and a customer service center (4C) having relatively independent functions. The cloud is connected with the data center, the model center and the control center, and is responsible for top-level simulation calculation and processing complex problems of long-series global property. The edge terminal is connected with the data center, the model center and the customer service center, so that on one hand, data uploaded by the terminal are obtained, and data extraction, cleaning, fusion and transmission are performed to form a large edge terminal ecological environment database; on the other hand, the cloud-generated data is received, and a local simple model is arranged, so that differentiated services of intelligent management of a drainage basin are met. And the cloud end and the edge end are used as middleware by virtue of a message center, so that cloud-edge cooperative computing is realized. The terminal is connected with the data center and the customer service center, various sensors and users of different departments are arranged, the multi-source heterogeneous data acquisition and the edge service release are carried out by combining the internet technology, and the information is stereoscopically sensed, comprehensively obtained and directionally output.
The cloud is provided with an air-ground-water integrated model distributed parallel algorithm, top layer simulation calculation is carried out, complex problems of long series and large-range global property are processed, core control is carried out like the human brain, and global optimization is achieved.
On one hand, the edge terminal acquires data uploaded by the terminal, performs automatic error identification, missing data interpolation, unified standard fusion and real-time data storage to form a large ecological environment database of the edge terminal, and effectively organizes and manages the data according to unified standards and specifications; on the other hand, data generated by the cloud is received, a local simple model is arranged, the message center is used as a middleware, task communication coordination between the cloud and the edge end is carried out, cloud-edge cooperative computing is achieved, individualized classification management requirements such as water quality prediction, risk early warning and real-time monitoring are met, instructions and operations of specific service functions are completed like hands of human beings, and local accuracy is achieved.
The terminal is provided with various sensors and users of different departments in different levels, combines the internet of things technology to acquire multi-source heterogeneous data and issue edge services of weather, water conservancy, ecology, environment, state and soil, agriculture, economy, forestry and the like, and performs three-dimensional sensing, comprehensive acquisition and directional output of information like human eyes and mouths.
The data center automatically collects, extracts, cleans, converts and transmits data, realizes the classification processing of static base data and dynamic process data and the storage management of model operation data, and provides data support for the calculation analysis of the model center and the service release of the customer service center.
The model center calls a set of model condition nodes and application nodes as required according to the instruction of the control center, completes parallel operation of various models such as weather, land area source, hydrodynamic force, water quality, water ecology and the like, and provides result support for decision analysis.
The control center management platform operation process promotes the cooperative cooperation of all centers and the processing of system faults by distributing system resources and monitoring system operation, and realizes the platform automation and intelligent service processing quickly and orderly.
The customer service center is responsible for issuing and pushing service information such as water environment water ecological monitoring, forecasting and early warning, and sends an access request to the control center through a user instruction so as to meet man-machine interaction requirements of different customers on decision-making information form response, visual feedback, business operation and the like.
Software and hardware resources of the data center, the model center, the control center and the customer service center are arranged in a three-layer cloud architecture of a cloud end, an edge end and a terminal in a crossed mode, and based on a 3L4C task cooperation mode, an environment model coupling integration technology and a self-learning and correction technology of an information platform are applied to realize mapping and optimization of task distribution and resource supply from the whole to the local.
The data center, the model center and the control center are connected and arranged at the cloud end, and the requirements of large-volume critical data calculation, core model simulation and macro decision functions are met respectively.
The data center, the model center and the customer service center are connected and arranged at the edge end, and the requirements of short-duration important data processing, local personalized simple model operation and edge decision function are met respectively. The transmission and calculation loads of a network and a cloud are reduced through selective message transmission and distribution, and the roles of data integration preprocessing, data result post-processing and business service customization are played through simple model calculation.
The data center and the customer service center are connected and arranged at a terminal, a communication system is formed by adopting flow sensors, a water quality monitor, a space scanner, a global positioning system and other Internet of things equipment and a visual display screen, the simulation and visualization provided by the system can realize multi-target achievement display, the link of attribute data and GIS space graphics is realized, the river basin and land confluence state is dynamically and visually displayed, the hydrodynamic water quality continuous change process, the pollution source influence range of an emergency and the pollutant propulsion state are described, and the requirements of multi-source heterogeneous data acquisition management and cloud-edge collaborative business application functions are met respectively.
Referring to fig. 3, the cloud-side collaboration platform architecture for intelligently managing the watershed ecological environment provided by the invention includes functions of a watershed water ecological environment basic resource pool, digital resource sharing, cloud service support, business application and the like.
The basin water ecological environment basic resource pool provides elastic calculation, infinite storage and database service (relational data, open storage, open structured data), open data processing service and the like, and the whole pool is divided into three layers of frameworks, specifically: the system comprises a physical layer, a resource abstraction and control layer, a cloud service and cloud operation maintenance management layer.
The digital resource sharing function is based on business data and monitoring data analysis, and integrates data such as foundation, business, government affairs and the like by adopting an object-oriented unified data model according to the application range and the incidence relation of the data, so that integrated management of data space, attributes, relations and metadata, unified object coding and unified data dictionary are realized, and standard, authoritative and effective data support is provided for various business applications.
The cloud service support function comprises issuing various researched and developed watershed water environment management related technologies according to service forms, and providing a uniform service interface to the outside, wherein the service interface comprises contents of watershed water environment water ecological quality prediction, watershed water environment water ecological risk prediction and early warning service, watershed edge end ecological scheduling service, watershed sudden pollution event tracking and tracing service, uniform user and authorization service based on system management, uniform data exchange service and uniform data distribution service based on standardized data sharing and the like.
The service application based function is based on the integration and construction of service functions of a cloud service support function, similar and common function modules in developed service applications are gradually optimized, edge-end new service applications for multiple departments such as homeland, improvement, water conservancy and environmental protection are provided, a service application system for assessment, monitoring, prediction, early warning and assessment in watershed environment management is served, and a functional service for supporting scientific research of scientific research units and meeting social public informed supervision is established.
Taking the cloud-edge collaborative water quality forecast as an example: arranging a core algorithm on the cloud, performing core simulation calculation of the top layer to obtain simulation results of the flow field and the concentration field of the whole time of the drainage basin, performing core control like the human brain, and realizing global optimization; the edge end is provided with an individualized forecasting technology, the classified management requirements are met through a cloud end and edge end cooperation technology, different forecasting modes and early warning levels are set according to a small-range application area, specific instructions and operations of a certain function are completed like human hands, and local accuracy is realized; various sensors and users of different grades are distributed on the terminal, the initial data acquisition and uploading of the bottom layer and the final information pushing and releasing are completed by combining the internet technology, and the information is sensed, acquired and output like the eyes and the mouth of human beings. In the whole three-layer architecture of cloud end-edge end-terminal, four centers of data-model-control-customer service are inserted, the edge end is used as an intermediate medium to carry out data, model and service aggregation of local areas, transmission and calculation loads of a network and the cloud end are reduced through selective message transmission and distribution, and the roles of data integration preprocessing, data result post-processing and business service personalization are born through simple model calculation.
The cloud-edge collaborative water quality forecasting service visualization interface in the embodiment of the invention is shown in fig. 4.
The cloud-edge collaborative risk early warning service visualization interface in the embodiment of the invention is shown in fig. 5.
The cloud-edge collaborative pollution traceability service visualization interface in the embodiment of the invention is shown in fig. 6.
The cloud-edge collaborative ecological scheduling service visualization interface according to the embodiment of the invention is shown in fig. 7.
The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made to the described embodiments or alternatives may be employed by those skilled in the art without departing from the spirit or ambit of the invention as defined in the appended claims.
Claims (10)
1. The utility model provides a basin water environmental water ecological intelligent management cloud limit is platform framework in coordination which characterized in that includes: the system comprises a cloud end, an edge end and a terminal, and a data center, a model center, a control center and a customer service center which have relatively independent functions, wherein the four centers are arranged in the cloud end, the edge end and the terminal in a crossed manner, so that the mapping and optimization of request distribution and resource supply from the whole to the local are realized; in addition, the system also comprises a message center used for communicating information between the cloud end and the edge end, wherein the message center is a middleware;
the cloud is provided with an air-ground-water integrated model distributed parallel algorithm, top layer simulation calculation is carried out, and complex problems of long series and large-range global property are solved;
on one hand, the edge terminal acquires data uploaded by the terminal, performs automatic error identification, missing data interpolation, unified standard fusion and real-time data storage to form a large ecological environment database of the edge terminal, and effectively organizes and manages the data according to unified standards and specifications; on the other hand, data generated by the cloud is received, a local simple model is arranged, the message center is used as a middleware, task communication coordination between the cloud and the edge end is carried out, cloud-edge cooperative computing is achieved, and water quality prediction, risk early warning and real-time monitoring and classification management requirements are met;
the terminal is provided with a plurality of sensors and users of different departments at different levels, and combines the internet of things technology to collect multi-source heterogeneous data and issue edge services for weather, water conservancy, ecology, environment, state, agriculture, economy and forestry;
the data center automatically collects, extracts, cleans, converts and transmits data, and integrates basic, business and government data by adopting an object-oriented unified data model according to the application range and the incidence relation of the data center, so that the integrated management of data space, attributes, relations and metadata, unified object coding and unified data dictionary are realized, the classified processing of static base data and dynamic process data and the storage management of model operation data are realized, and data support is provided for the calculation analysis of the model center and the service release of a customer service center;
the model center calls a set of model condition nodes and application nodes as required according to the instruction of the control center to complete the parallel operation of multiple models of basin weather, land area source, hydrodynamic force, water quality and water ecology, and provides result support for decision analysis;
the control center manages the operation flow of the platform, promotes the cooperative cooperation of all centers and the fault processing of the system by allocating system resources and monitoring system operation, and quickly and orderly realizes the automatic and intelligent service processing of the platform;
the customer service center is responsible for issuing and pushing water environment water ecological monitoring, forecasting and early warning service information, and sends an access request to the control center through a user instruction so as to meet the human-computer interaction requirements of different customers on decision-making information form response, visual feedback and business operation;
the data center, the model center and the control center are connected and arranged at the cloud end and respectively meet the requirements of large-volume critical data calculation, core model simulation and macro decision functions;
the data center, the model center and the customer service center are connected and arranged at the edge end, and the requirements of short-duration important data processing, local personalized simple model operation and edge decision function are met respectively;
the data center and the customer service center are connected and arranged at the terminal, a communication system is formed by adopting a flow sensor, a water quality monitor, a space scanner, global positioning system Internet of things equipment and a visual display screen, the link of attribute data and GIS space graphs is realized, the river basin and land confluence state is dynamically and visually displayed, the hydrodynamic water quality continuous change process, the pollution source influence range of emergency events and the pollutant propulsion state are described, and the requirements of multi-source heterogeneous data acquisition management and cloud edge collaborative business application functions are respectively met.
2. The framework of claim 1, wherein the cloud-side cooperative platform comprises: the cloud comprises a private cloud, a public cloud and a hybrid cloud.
3. The framework of claim 1, wherein the cloud-side cooperative platform comprises: indexes of the cloud for top layer simulation calculation comprise a large-scale basin meteorological model, a land non-point source model, a hydrodynamic model, a water quality model and a water ecological model.
4. The framework of claim 3, wherein the cloud-side cooperative platform comprises: the cloud end is provided with an air-ground-water integrated model high-performance parallel algorithm, nodes which are sequentially applied by model logic are set based on the strong and weak coupling relation between models, a shared memory parallel and unshared memory parallel hybrid processing mode is adopted, and a thread parallel mode, a core parallel mode and a multi-node parallel mode are set.
5. The framework of claim 1, wherein the cloud-side cooperative platform comprises: the edge terminal adopts a distributed structure, local autonomous computation and intelligent analysis are carried out on a single machine, a work station and mobile equipment on a local area network, a unified service interface is provided for the outside, and the service functions of cloud-edge collaborative water quality prediction, cloud-edge collaborative risk early warning, cloud-edge collaborative pollution tracing and cloud-edge collaborative ecological scheduling are realized.
6. The framework of claim 5, wherein the cloud-side cooperative platform comprises: the cloud-side collaborative water quality prediction service function is characterized in that a watershed global water environment water ecological quality prediction system is distributed at the cloud end, an individual prediction technology is set at the edge end according to a water management target, the water quality conditions of 3 days, 7 days and 15 days in the future are simulated and predicted through an automatic operation mode and mode prediction, the water quality information is pushed to the client at regular time every day, and the mutual supplement and collaborative improvement of global-local prediction efficiency and precision are achieved.
7. The framework of claim 5, wherein the cloud-side cooperative platform comprises: the cloud-edge collaborative risk early warning service function carries out alarm condition analysis according to the edge end risk threshold value and the early warning grading method by real-time dynamic simulation of the ecological process of the cloud water environment water, comparing the simulation result with the monitoring data, accurately predicting the risk outbreak time, range and degree and issuing static and dynamic digital watershed early warning maps.
8. The framework of claim 5, wherein the cloud-side cooperative platform comprises: the cloud-edge cooperative pollution tracing service function identifies water quality abnormal points from a cloud source quality response database by comparing accident monitoring data and cloud prediction results acquired by edge ends, acquires abnormal point positions and hydrodynamic water quality historical data 5 days before an upstream range, determines possible emission positions and emission processes of pollution sources at the edge ends, and screens, inspects and rapidly and accurately positions potential pollution sources.
9. The framework of claim 5, wherein the cloud-side cooperative platform comprises: the cloud-side collaborative ecological scheduling service function analyzes the mutual feedback relation between the growth, propagation and migration of fishes and the habitat conditions of the fishes by identifying the hydrodynamic water quality characteristics of the water bloom districts in different storage states, and performs watershed quantitative ecological scheduling scheme set simulation at the cloud end to complete time selection, mode determination and visual effect evaluation of the edge end personalized scheme.
10. The framework of claim 1, wherein the cloud-side cooperative platform comprises: the terminal adopts the thing networking device constitution communication system of a plurality of edge nodes, the edge node includes meteorological sensor, flow sensor, water quality monitoring appearance, space scanning appearance and global positioning system, with the help of the intelligent cooperation between a plurality of edge nodes, realizes that on-the-spot level, real-time level, short cycle level's data are immediately drawed to and the washing of multisource big data, categorised and feed each other.
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