CN116311804A - Intelligent river ecological water level assessment and early warning system and method - Google Patents
Intelligent river ecological water level assessment and early warning system and method Download PDFInfo
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Abstract
The invention discloses an intelligent river ecological water level assessment and early warning system and method, comprising a data monitoring layer, a network central layer and an application management layer; the radar water level gauge of the data monitoring layer monitors the water level of the river section in real time and transmits data to the data collector; estimating the river reach ecological water level early warning threshold value by four ecological water level calculation methods; the application management layer initiates a communication request to a cloud platform of the network central layer through an API interface so as to receive real-time water level data acquired by the data monitoring layer radar water level gauge; the drawing platform of the real-time water level early warning module visually displays the real-time water level of the river monitoring section according to the real-time water level data; and analyzing early warning registration of the real-time water level according to the river reach ecological water level early warning threshold value, and displaying an early warning lamp with a corresponding color. The method improves the accuracy of the river ecological water level assessment result and the timeliness of early warning management and control, and provides available method reference and technical support for intelligent management and control of river ecological water level.
Description
Technical Field
The invention relates to the field of river ecological system management and control, in particular to an intelligent river ecological water level assessment and early warning system and method.
Background
The river ecological water level meets the water level required by the stability of the river ecological system, and the reasonable river ecological water level is ensured to have important functions of purifying water quality, improving river environment, coordinating the ecological system and the like. The river ecological system is ensured to be stable, and the method is a key for the high-quality development of the related economy and society. Although various mature river ecological water level calculation and evaluation methods are formed at home and abroad, the various methods have certain defects, and the emphasis points of different calculation methods are different.
At present, the traditional method for river ecological water level early warning management and control still monitors the river monitoring section water level on site through a water level gauge or other professional instruments and manually reads data, then corresponding regulation and control are adopted for river water resources according to an ecological water level threshold value, the degree of automation of a management and control flow is low, the time efficiency of basic water conservancy data reporting is low, the defects of high labor intensity, high monitoring cost, low early warning time efficiency and the like are overcome, and the development requirements of intelligent river construction are difficult to adapt, so that a comprehensive system capable of monitoring the river water level in real time, studying and judging early warning grades and early warning in time is needed.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides an intelligent river ecological water level assessment and early warning system and method, which improve the accuracy of river ecological water level assessment results and the timeliness of early warning management and control and provide available method reference and technical support for intelligent management and control of river ecological water levels.
The object of the invention is achieved in one aspect by: an intelligent river ecological water level assessment and early warning system comprises a data monitoring layer, a network central layer and an application management layer;
the data detection layer is used for collecting water level data of the river monitoring section in real time through the radar water level gauge and transmitting the collected water level data to the data collector;
the network central layer is used for uploading the data acquired by the data monitoring layer to the cloud server in real time for centralized storage and circulation;
the application management layer is used for analyzing and judging the historical water level information of the river according to the ecological water level calculation method and making corresponding early warning response according to the real-time water level information of the river; and the automatic management of river ecological water level assessment, real-time water level visualization, early warning and forecasting and data export is realized.
As a further definition of the present invention, the data detection layer includes a radar level gauge, a data collector and an expansion device;
the radar water level gauge is used for monitoring the real-time water level of the river control section and transmitting water level data to the data collector;
the data collector is connected with the DTU of the Internet of things through RS232, so that data flow between the data detection layer and the network layer is realized;
the expansion equipment is used for expanding various hydrologic data monitoring equipment according to different requirements and monitoring various hydrologic parameters.
As a further limitation of the present invention, the network central layer includes an internet of things DTU, a data service interface, a cloud server and a hydrological database;
the internet of things DTU is used for editing real-time water level data of the monitoring section into a communication message in a JSON format which can be identified by the cloud server, and sending the communication message to an API (application program interface) of the cloud server through the data service interface;
the hydrologic database is used for receiving real-time hydrologic data of the cloud server, drawing and early warning by utilizing the real-time hydrologic data, and storing the data.
As a further limitation of the invention, the application management layer comprises an ecological water level evaluation module and a real-time water level early warning module;
the ecological water level evaluation module is used for determining an ecological water level early warning threshold value of the river through various ecological water level calculation methods, analyzing historical water level data of a monitored section, calculating the ecological water level of a river reach, transmitting the early warning threshold value to the real-time water level early warning module and displaying the early warning threshold value on a visual platform at a computer end;
the real-time water level early-warning module is used for visually displaying a real-time water level image of the river monitoring section according to real-time water level data of the network central layer circulation, and carrying out early-warning level analysis on the real-time water level of the river section based on an early-warning mechanism and an ecological water level early-warning threshold value determined by the ecological water level assessment module; and editing the real-time warning information of the river monitoring section into a communication message through the cloud early warning robot, and sending the communication message to mobile communication equipment of management personnel.
Another aspect of the object of the present invention is achieved by: an intelligent river ecological water level assessment and early warning method comprises the following steps:
1) The radar water level gauge of the data monitoring layer monitors the water level of the river cross section in real time and transmits data to the data collector, and the collector transmits the real-time data to the cloud platform through the Internet of things gateway of the network central layer and stores and circulates;
2) The historical data of the river monitoring section is imported into a computing platform of an application management layer ecological water level evaluation module, and the river reach ecological water level early warning threshold value is evaluated through four ecological water level computing methods;
3) The application management layer initiates a communication request to a cloud platform of the network central layer through an API interface so as to receive real-time water level data acquired by the data monitoring layer radar water level gauge;
4) The drawing platform of the real-time water level early warning module visually displays the real-time water level of the river monitoring section according to the real-time water level data;
5) The real-time water level early-warning module analyzes early-warning registration of the real-time water level according to the ecological water level early-warning threshold value of the river reach, displays early-warning lamps with corresponding colors, and simultaneously sends warning information of the river reach to communication equipment of management personnel in real time by the early-warning robot.
As a further definition of the present invention, the step 2) specifically includes: the ecological water level evaluation module of the application management layer starts to operate, and historical data of the river monitoring section are imported into the computing platform; the ecological water level evaluation module judges whether the data meets the requirements; if yes, carrying out the next step; if the data do not accord with the data, the data are reintroduced after being modified; the ecological water level evaluation module evaluates the ecological water level of the river monitoring section according to four ecological water level calculation methods, and displays the result on an ecological water level calculation platform interface; the manager can conduct result optimization on four calculation results of the ecological water level on the ecological water level calculation platform interface according to different river reach ecological protection targets; and the ecological water level evaluation module exports and stores the calculation result to a database, and the operation is finished.
As a further definition of the present invention, the step 4) specifically includes: the real-time water level early-warning module starts to operate; setting a timer of a real-time water level early-warning module according to the time step of the data monitoring layer for collecting river monitoring section water level data, and starting the timer; the real-time water level early warning module initiates a communication request to the cloud platform through an API interface; if the connection is successful, the next step is carried out; if the connection fails, checking the network connection and then trying to access the cloud platform; the real-time water level early warning module analyzes the message of the cloud platform flow and stores the message in a database; and dynamically and visually displaying the real-time water level data on a water level monitoring and early warning platform.
As a further definition of the present invention, the step 5) specifically includes: the real-time water level early-warning module carries out early-warning grade analysis on the real-time water level data based on an ecological water level early-warning mechanism and according to the optimal water level calculated by the ecological water level assessment module; the real-time water level early-warning module responds to early-warning response of real-time water level of the river monitoring section according to the early-warning grade; the real-time water level early warning module enters a sleep mode; judging whether the hardware equipment of the data monitoring layer starts monitoring, if so, carrying out the next round of judgment; if not, the module continues to sleep.
Compared with the prior art, the invention adopts the technical scheme and has the beneficial effects that: the system can expand various data monitoring devices, automatically collect various hydrologic data parameters, can collect more abundant hydrologic data more frequently than the traditional manual on-site monitoring, and is beneficial to informatization and digital construction of natural water systems. The hydrologic data are stored and managed in a centralized manner, and modern information technologies such as a cloud platform, the Internet of things and big data are utilized to energize the system, so that a large amount of historical and real-time water level data can be analyzed and calculated more conveniently, and intelligent efficient management and control of ecological water level can be realized; the monitoring section water level data is provided for the ecological water level management and control station in real time in a cloud service mode, and related links such as evaluation, research and judgment, visualization and the like break through the closed information island state of each subsystem in the traditional ecological water level management and control work, and realize the functions of one-key interaction type calculation, monitoring and early warning based on a self-developed platform.
Drawings
FIG. 1 is a schematic diagram of a system architecture of the present invention.
FIG. 2 is a flow chart of the system operation of the present invention.
FIG. 3 is a flow chart of the operation of the ecological water level assessment module of the present invention.
FIG. 4 is a flow chart of the operation of the real-time water level early warning module of the present invention.
Fig. 5 is a schematic diagram of a computing platform interface of a river ecological water level management and control platform according to the present invention.
Fig. 6 is a schematic diagram of an early warning platform interface of a river ecological water level management and control platform according to the present invention.
Detailed Description
An intelligent river ecological water level assessment and early warning system as shown in fig. 1 comprises a data monitoring layer, a network central layer and an application management layer;
the data detection layer is used for collecting water level data of the river monitoring section in real time through the radar water level gauge and transmitting the collected water level data to the data collector;
the network central layer is used for uploading the data acquired by the data monitoring layer to the cloud server in real time for centralized storage and circulation;
the application management layer is used for analyzing and judging the historical water level information of the river according to the ecological water level calculation method and making corresponding early warning response according to the real-time water level information of the river; and the automatic management of river ecological water level assessment, real-time water level visualization, early warning and forecasting and data export is realized.
The data detection layer comprises a radar water level gauge, a data collector and expansion equipment; the radar water level gauge and the data acquisition device are powered by the storage battery; the radar water level gauge and the data collector are connected through RS232 to realize water level data transmission;
the radar water level gauge is used for monitoring the real-time water level of the river control section and transmitting water level data to the data collector;
the data collector is connected with the DTU of the Internet of things through RS232, so that data flow between the data detection layer and the network layer is realized;
the expansion equipment is used for expanding various hydrologic data monitoring equipment according to different requirements and monitoring various hydrologic parameters; the data monitoring layer has certain expandability, and can be added with devices such as a rainfall cylinder, an intelligent camera, a remote sensing unmanned aerial vehicle and the like according to the requirements of river ecological management and control so as to monitor hydrologic parameters such as rainfall, flow velocity, water quality and the like.
The network central layer comprises an internet of things DTU (Data transfer unit, DTU), a data service interface, a cloud server and a hydrological database;
the internet of things DTU is used for editing real-time water level data of the monitoring section into a communication message in a JSON format which can be identified by the cloud server, and sending the communication message to an API (application program interface) of the cloud server through a data service interface under a mobile network such as 4G, 5G and the like; the DTU of the Internet of things is powered by a storage battery, and the storage battery stores electricity by a solar panel;
the hydrologic database is used for receiving real-time hydrologic data of the cloud server, drawing and early warning by utilizing the real-time hydrologic data, and storing the data.
The application management layer comprises an ecological water level evaluation module and a real-time water level early warning module;
the ecological water level evaluation module is used for determining an ecological water level early warning threshold value of the river through various ecological water level calculation methods, analyzing historical water level data of a monitored section, calculating the ecological water level of a river reach, transmitting the early warning threshold value to the real-time water level early warning module and displaying the early warning threshold value on a visual platform at a computer end;
the real-time water level early-warning module is used for visually displaying a real-time water level image of the river monitoring section according to real-time water level data of the network central layer circulation, and carrying out early-warning level analysis on the real-time water level of the river section based on an early-warning mechanism and an ecological water level early-warning threshold value determined by the ecological water level assessment module; editing real-time warning information of the river monitoring section into a communication message by a cloud early warning robot, and sending the communication message to mobile communication equipment such as mobile phones, intelligent watches and the like of management staff; the functions of the real-time water level early warning module comprise water level visualization, early warning grade analysis, early warning lamp response and real-time early warning of the robot.
The water level visualization function can adjust the drawing time step according to the water level fluctuation condition of the monitoring section, and when the water level fluctuation is large, the drawing time step is shortened; when the water level variation is not large, the original drawing time step is kept.
The early warning level analysis function takes the ecological water level value of the river as an early warning index of the system, and divides the warning condition of the real-time water level of the river monitoring section into four levels, namely 'no early warning', 'low warning level early warning', 'medium warning level early warning', 'heavy warning level early warning'. The response function of the early warning lamp is provided with four colors of blue, yellow, orange and red, which correspond to the four-level warning conditions respectively;
the real-time early warning function of the robot is realized in a cloud service mode, real-time warning information of the river monitoring section is edited into a communication message by the cloud early warning robot and is sent to mobile communication equipment such as mobile phones and intelligent watches of management staff, and therefore timeliness of ecological water level management and control is improved.
An intelligent river ecological water level assessment and early warning method as shown in fig. 2 comprises the following steps:
1) The radar water level gauge of the data monitoring layer monitors the water level of the river cross section in real time and transmits data to the data collector, and the collector transmits the real-time data to the cloud platform through the Internet of things gateway of the network central layer and stores and circulates;
2) The historical data of the river monitoring section is imported into a computing platform of an application management layer ecological water level evaluation module, and the river reach ecological water level early warning threshold value is evaluated through four ecological water level computing methods;
the operation flow chart of the ecological water level evaluation module shown in fig. 3 has an operation interface shown in fig. 5, and the specific steps are as follows:
after the river ecological water level management platform is started, the ecological water level assessment module of the application management layer starts to operate;
the historical data of the river monitoring section is imported into a computing platform;
the ecological water level evaluation module judges whether the data meets the requirements; if yes, carrying out the next step; if the data do not accord with the data, the data are reintroduced after being modified;
the ecological water level evaluation module evaluates the ecological water level of the river monitoring section according to four ecological water level calculation methods, and displays the result on an ecological water level calculation platform interface shown in fig. 5;
the manager can perform result optimization on four calculation results of the ecological water level on the ecological water level calculation platform interface shown in fig. 5 according to different river reach ecological protection targets;
and the ecological water level evaluation module exports and stores the calculation result to a database, and the operation is finished.
The calculation method of the ecological water level evaluation module comprises a lowest survival water depth method, a 90% guarantee rate lowest water level method, a minimum month average water level method and a wet week method; the method comprises the steps of determining an ecological water level early warning threshold value of a river;
(1) Minimum water depth to live method:
the minimum water depth is the basic amount of water required to meet the biological survival in the river basin. Because the fish is generally a top-level biological community in the river channel ecological system, the minimum survival water level of the fish is considered to meet the survival requirements of other organisms in the river channel.
H emin ＝H+h Fish (1)
Wherein H is emin Is the lowest water survival level (m); h is river bottom elevation (m); the h fish is the lowest survival water depth (m) of the fish.
(2) 90% guaranteed annual minimum water level method:
and drawing an empirical frequency curve according to the hydrologic long-series daily average water level data and formulas (2) - (3), and selecting the water level corresponding to the 90% guarantee rate as the ecological water level. The goodness of fit of the curve is evaluated using equation (4), with the lower RMSE, the higher goodness of fit.
Wherein m is a month average water level arrangement sequence number; n is the sample size; x is X p Corresponding values are used for the checked point data; k (K) p Is a modulus coefficient;
is the coefficient of dispersion; p (P) t Is the theoretical frequency; p (P) e Is an empirical frequency. In the calculation process, the GAMCDF function and the inverse function GAMINV function thereof in Matlab are adopted to calculate +.>
And K p Compared with the traditional method, the method is more efficient and convenient.
t p ＝gaminv(p,α,β) (5)
P t ＝1-gamcdf(x p ,α,1/β) (7)
Wherein t is p Distributing the quantiles for a standard gamma; p is a probability value; alpha and beta are distribution parameters.
(3) Minimum month mean water level method:
and classifying the water level data of many years according to months, calculating the average water level of each month, screening out the minimum month average water level of each year, and calculating the average water level of the minimum month for many years to obtain the river ecological water level corresponding to the minimum month average water level method.
Wherein n is the number of years；h ij Is the month average water level of the ith month.
(4) Wet week method:
fitting a wet circumference-water level relation curve according to the data of the monitoring section of the research area, and taking the water level at the inflection point of the curve as the ecological water level of the river channel. When a plurality of inflection points exist in the curve, the average water level of the river channel is taken as a reference point, the corresponding wet cycle is R, and the inflection point closest to 80% R in the wet cycle is taken as a determination point.
The computing platform determines the early warning threshold value of the ecological water level based on the historical water level data of the river monitoring section, the lowest survival water depth method, the 90% guarantee rate method, the minimum month average water level method and the wet week method, the computing platform can transmit the early warning threshold value to the real-time water level early warning module and display the early warning threshold value on the visualization platform at the computer end, and the manager can optimize the computing result of the ecological water level according to different ecological protection targets to determine the optimal ecological water level.
The real-time water level early-warning module is an early-warning platform of the application management layer and is mainly used for visually displaying real-time water level images of river monitoring sections according to real-time water level data of network central layer circulation and carrying out early-warning level analysis on the real-time water levels of the river sections based on an early-warning mechanism and an ecological water level early-warning threshold determined by the ecological water level assessment module. After the early warning level is determined, the early warning platform displays early warning lamps with corresponding colors on the computer-side visual platform according to the early warning level where the real-time water level is located, and automatically sends alarm information such as the real-time water level, the early warning occurrence time and the like to portable mobile communication equipment such as mobile phones, intelligent watches and the like of management staff in real time through the cloud early warning robot so as to ensure that the alarm information can be timely notified in place, and the reaction efficiency of early warning management and control is improved.
The specific content of the early warning mechanism is as follows:
based on the river ecological water level threshold value determined by the computing platform, calculating the difference value between the river monitoring section real-time water level and the ecological water level threshold value by combining the formula (9), and determining the early warning level according to the calculation result.
Δ＝H t -H (9)
Wherein H is t Is real-timeWater level (m); h is an ecological water level threshold (m).
The early warning grade is divided into four grades, when delta is more than or equal to 0m, the early warning is not performed, and an early warning lamp in a computer-side visual platform is displayed in blue; when delta is more than or equal to-0.15 m, the low-alarm degree early warning is performed, and an early warning lamp in the computer-side visual platform is displayed to be yellow; when delta is more than or equal to-0.30 m, the middle warning degree early warning is carried out, and an early warning lamp in the computer-side visual platform is displayed to be orange; when delta is less than-0.30 m, the warning degree is early-warned, and the warning lamp in the visual platform at the computer end is displayed in red.
3) The application management layer initiates a communication request to a cloud platform of the network central layer through an API interface so as to receive real-time water level data acquired by the data monitoring layer radar water level gauge;
4) The drawing platform of the real-time water level early warning module visually displays the real-time water level of the river monitoring section according to the real-time water level data;
the operation interface of the real-time water level early warning module shown in fig. 4 is shown in fig. 6, and the specific steps are as follows:
the real-time water level early-warning module starts to operate;
setting a timer of a real-time water level early-warning module according to the time step of the data monitoring layer for collecting river monitoring section water level data, and starting the timer;
the real-time water level early warning module initiates a communication request to the cloud platform through an API interface; if the connection is successful, the next step is carried out; if the connection fails, checking the network connection and then trying to access the cloud platform;
the real-time water level early warning module analyzes the message of the cloud platform flow and stores the message in a database;
and dynamically and visually displaying the real-time water level data on a water level monitoring and early warning platform as shown in fig. 6.
5) The real-time water level early-warning module analyzes early-warning registration of the real-time water level according to the ecological water level early-warning threshold value of the river reach, displays early-warning lamps with corresponding colors, and the colleague early-warning robot sends the warning information of the river reach to communication equipment of management staff in real time;
the real-time water level early-warning module carries out early-warning grade analysis on the real-time water level data based on an ecological water level early-warning mechanism and according to the optimal water level calculated by the ecological water level assessment module;
the real-time water level early-warning module responds to early-warning response of real-time water level of the river monitoring section according to the early-warning grade;
the real-time water level early warning module enters a sleep mode; judging whether the hardware equipment of the data monitoring layer starts monitoring (whether the response time of the timer is met or not), if so, carrying out the next round of judgment; if not, the module continues to sleep.
The intelligent river ecological water level assessment and early warning system and method provided by the invention can be used for expanding various data monitoring equipment, automatically collecting various hydrologic data parameters, and can collect more abundant hydrologic data more frequently compared with the traditional manual on-site monitoring, thereby being beneficial to informatization and digital construction of natural water systems. The hydrologic data are stored and managed in a centralized mode, modern information technologies such as a cloud platform, the Internet of things and big data are utilized to energize the system, a large amount of historical and real-time water level data can be analyzed and calculated conveniently, and intelligent efficient management and control of ecological water level can be achieved. The cloud service type monitoring section water level data is provided for links such as evaluation, research and judgment, visualization and the like related to ecological water level management and control in real time, the closed information island state of each subsystem in the traditional ecological water level management and control work is broken, and the one-key interaction type calculation, monitoring and early warning functions are realized based on a self-developed platform.
The invention is not limited to the above embodiments, and based on the technical solution disclosed in the invention, a person skilled in the art may make some substitutions and modifications to some technical features thereof without creative effort according to the technical content disclosed, and all the substitutions and modifications are within the protection scope of the invention.
Claims (8)
1. An intelligent river ecological water level assessment and early warning system is characterized by comprising a data monitoring layer, a network central layer and an application management layer;
the data detection layer is used for collecting water level data of the river monitoring section in real time through the radar water level gauge and transmitting the collected water level data to the data collector;
the network central layer is used for uploading the data acquired by the data monitoring layer to the cloud server in real time for centralized storage and circulation;
the application management layer is used for analyzing and judging the historical water level information of the river according to the ecological water level calculation method and making corresponding early warning response according to the real-time water level information of the river; and the automatic management of river ecological water level assessment, real-time water level visualization, early warning and forecasting and data export is realized.
2. The intelligent river ecology water level assessment and early warning system of claim 1 wherein the data detection layer comprises a radar level gauge, a data collector and an expansion device;
the radar water level gauge is used for monitoring the real-time water level of the river control section and transmitting water level data to the data collector;
the data collector is connected with the DTU of the Internet of things through RS232, so that data flow between the data detection layer and the network layer is realized;
the expansion equipment is used for expanding various hydrologic data monitoring equipment according to different requirements and monitoring various hydrologic parameters.
3. The intelligent river ecology water level assessment and early warning system of claim 1 wherein the network hub layer comprises an internet of things DTU, a data service interface, a cloud server and a hydrological database;
the internet of things DTU is used for editing real-time water level data of the monitoring section into a communication message in a JSON format which can be identified by the cloud server, and sending the communication message to an API (application program interface) of the cloud server through the data service interface;
the hydrologic database is used for receiving real-time hydrologic data of the cloud server, drawing and early warning by utilizing the real-time hydrologic data, and storing the data.
4. The intelligent river ecology water level assessment and early warning system of claim 1 wherein the application management layer comprises an ecology water level assessment module and a real-time water level early warning module;
the ecological water level evaluation module is used for determining an ecological water level early warning threshold value of the river through various ecological water level calculation methods, analyzing historical water level data of a monitored section, calculating the ecological water level of a river reach, transmitting the early warning threshold value to the real-time water level early warning module and displaying the early warning threshold value on a visual platform at a computer end;
the real-time water level early-warning module is used for visually displaying a real-time water level image of the river monitoring section according to real-time water level data of the network central layer circulation, and carrying out early-warning level analysis on the real-time water level of the river section based on an early-warning mechanism and an ecological water level early-warning threshold value determined by the ecological water level assessment module; and editing the real-time warning information of the river monitoring section into a communication message through the cloud early warning robot, and sending the communication message to mobile communication equipment of management personnel.
5. An intelligent river ecology water level assessment and early warning method according to any one of claims 1-4, comprising the steps of:
1) The radar water level gauge of the data monitoring layer monitors the water level of the river cross section in real time and transmits data to the data collector, and the collector transmits the real-time data to the cloud platform through the Internet of things gateway of the network central layer and stores and circulates;
2) The historical data of the river monitoring section is imported into a computing platform of an application management layer ecological water level evaluation module, and the river reach ecological water level early warning threshold value is evaluated through four ecological water level computing methods;
3) The application management layer initiates a communication request to a cloud platform of the network central layer through an API interface so as to receive real-time water level data acquired by the data monitoring layer radar water level gauge;
4) The drawing platform of the real-time water level early warning module visually displays the real-time water level of the river monitoring section according to the real-time water level data;
5) The real-time water level early-warning module analyzes early-warning registration of the real-time water level according to the ecological water level early-warning threshold value of the river reach, displays early-warning lamps with corresponding colors, and simultaneously sends warning information of the river reach to communication equipment of management personnel in real time by the early-warning robot.
6. The method for evaluating and warning the ecological water level of an intelligent river according to claim 5, wherein the step 2) specifically comprises: the ecological water level evaluation module of the application management layer starts to operate, and historical data of the river monitoring section are imported into the computing platform; the ecological water level evaluation module judges whether the data meets the requirements; if yes, carrying out the next step; if the data do not accord with the data, the data are reintroduced after being modified; the ecological water level evaluation module evaluates the ecological water level of the river monitoring section according to four ecological water level calculation methods, and displays the result on an ecological water level calculation platform interface; the manager can conduct result optimization on four calculation results of the ecological water level on the ecological water level calculation platform interface according to different river reach ecological protection targets; and the ecological water level evaluation module exports and stores the calculation result to a database, and the operation is finished.
7. The intelligent river ecology water level assessment and early warning method of claim 5 wherein step 4) comprises: the real-time water level early-warning module starts to operate; setting a timer of a real-time water level early-warning module according to the time step of the data monitoring layer for collecting river monitoring section water level data, and starting the timer; the real-time water level early warning module initiates a communication request to the cloud platform through an API interface; if the connection is successful, the next step is carried out; if the connection fails, checking the network connection and then trying to access the cloud platform; the real-time water level early warning module analyzes the message of the cloud platform flow and stores the message in a database; and dynamically and visually displaying the real-time water level data on a water level monitoring and early warning platform.
8. The method for evaluating and warning the ecological water level of an intelligent river according to claim 5, wherein the step 5) specifically comprises: the real-time water level early-warning module carries out early-warning grade analysis on the real-time water level data based on an ecological water level early-warning mechanism and according to the optimal water level calculated by the ecological water level assessment module; the real-time water level early-warning module responds to early-warning response of real-time water level of the river monitoring section according to the early-warning grade; the real-time water level early warning module enters a sleep mode; judging whether the hardware equipment of the data monitoring layer starts monitoring, if so, carrying out the next round of judgment; if not, the module continues to sleep.
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